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Mike Tsionas

(deceased)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.

    Mentioned in:

    1. Stochastic frontier models with random coefficients (Journal of Applied Econometrics 2002) in ReplicationWiki ()

Working papers

  1. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP012023, School of Economics, University of Queensland, Australia.

    Cited by:

    1. Léopold Simar & Valentin Zelenyuk & Shirong Zhao, 2023. "Russell and Slack-Based Measures of Efficiency: A Unifying Framework," CEPA Working Papers Series WP092023, School of Economics, University of Queensland, Australia.

  2. Nikolaos Englezos & Xanthi Kartala & Phoebe Koundouri & Mike Tsionas & Angelos Alamanos, 2021. "A Novel Hydro - Economic - Econometric Approach for Integrated Transboundary Water Management under Uncertainty," DEOS Working Papers 2101, Athens University of Economics and Business.

    Cited by:

    1. Phoebe Koundouri & Angelos Alamanos & Jeffrey D Sachs, 2024. "Innovating for Sustainability: The Global Climate Hub," DEOS Working Papers 2403, Athens University of Economics and Business.
    2. Phoebe Koundouri & Georgios I. Papayiannis & Athanasios Yannacopoulos, 2022. "Optimal Control Approaches to Sustainability under Uncertainty," DEOS Working Papers 2215, Athens University of Economics and Business.

  3. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021. "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP082021, School of Economics, University of Queensland, Australia.

    Cited by:

    1. Valentin Zelenyuk & Zhichao Wang, 2023. "Random vs. Explained Inefficiency in Stochastic Frontier Analysis: The Case of Queensland Hospitals," CEPA Working Papers Series WP052023, School of Economics, University of Queensland, Australia.

  4. Marwan Izzeldin & Emmanuel Mamatzakis & Anthony Murphy & Mike G. Tsionas, 2020. "A Novel MIMIC-Style Model of European Bank Technical Efficiency and Productivity Growth," Working Papers 2012, Federal Reserve Bank of Dallas.

    Cited by:

    1. Mamatzakis, Emmanuel C. & Ongena, Steven & Tsionas, Mike G., 2021. "Does alternative finance moderate bank fragility? Evidence from the euro area," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).

  5. Manthos D. Delis & Maria Iosifidi & Pantelis Kazakis & Steven Ongena & Mike G. Tsionas, 2020. "Management as the sine qua non for M&A success," Swiss Finance Institute Research Paper Series 20-102, Swiss Finance Institute.

    Cited by:

    1. Delis, Manthos D. & Tsionas, Mike G., 2018. "Measuring management practices," International Journal of Production Economics, Elsevier, vol. 199(C), pages 65-77.

  6. , 2019. "The Contribution of Jump Signs and Activity to Forecasting Stock Price Volatility," Working Papers 1902, Federal Reserve Bank of Dallas, revised 17 Dec 2022.

    Cited by:

    1. Zhu, Haibin & Bai, Lu & He, Lidan & Liu, Zhi, 2023. "Forecasting realized volatility with machine learning: Panel data perspective," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 251-271.

  7. Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2019. "Endogenous Dynamic Efficiency in the Intertemporal Optimization Models of Firm Behavior," MPRA Paper 97780, University Library of Munich, Germany.

    Cited by:

    1. Magambo, Isaiah & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Environmental and Technical Efficiency in Large Gold Mines in Developing Countries," MPRA Paper 108068, University Library of Munich, Germany.
    2. Tsionas, Mike & Patel, Pankaj C. & Guedes, Maria João, 2022. "Endogenous efficiency of the dynamic profit maximization in the intertemporal production models of venture behavior," International Journal of Production Economics, Elsevier, vol. 246(C).
    3. V. K. Chetty & James J. Heckman, 2023. "Internal adjustment costs of firm-specific factors and the neoclassical theory of the firm," Empirical Economics, Springer, vol. 64(6), pages 2703-2719, June.

  8. Emmanuel Mamatzakis & M. Tsionas, 2018. "Decomposing global bank productivity growth: the role of non-performing loans, equity and technology," Working Paper series 18-41, Rimini Centre for Economic Analysis.

    Cited by:

    1. Bansal, Pooja & Kumar, Sunil & Mehra, Aparna & Gulati, Rachita, 2022. "Developing two dynamic Malmquist-Luenberger productivity indices: An illustrated application for assessing productivity performance of Indian banks," Omega, Elsevier, vol. 107(C).

  9. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2018. "Debt dynamics in Europe: a network general equilibrium GVAR approach," LSE Research Online Documents on Economics 86865, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Miyakoshi, Tatsuyoshi & Shimada, Junji, 2022. "Network analysis of local currency Asian government bond markets: Assessments of the ABFI and the ABMI," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    2. Kyriakos Drivas & Claire Economidou & Konstantinos N. Konstantakis & Panayotis G. Michaelides, 2022. "Technological Leaders, Laggards and Spillovers: A Network GVAR Analysis," Open Economies Review, Springer, vol. 33(2), pages 231-269, April.
    3. Konstantinos N. Konstantakis & Panagiotis T. Cheilas & Ioannis G. Melissaropoulos & Panos Xidonas & Panayotis G. Michaelides, 2023. "Supply chains and fake news: a novel input–output neural network approach for the US food sector," Annals of Operations Research, Springer, vol. 327(2), pages 779-794, August.

  10. Tsionas, Mike & Malikov, Emir & Kumbhakar, Subal C., 2018. "An Internally Consistent Approach to the Estimation of Market Power and Cost Efficiency with an Application to U.S. Banking," MPRA Paper 85811, University Library of Munich, Germany.

    Cited by:

    1. Kutlu, Levent & Mamatzakis, Emmanuel & Tsionas, Mike G., 2022. "A principal–agent approach for estimating firm efficiency: Revealing bank managerial behavior," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    2. Delis, Manthos D. & Iosifidi, Maria & Tsionas, Mike, 2020. "Management estimation in banking," European Journal of Operational Research, Elsevier, vol. 284(1), pages 355-372.
    3. Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Size, efficiency, market power, and economies of scale in the African banking sector," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-22, December.
    4. Levent Kutlu & Robin C. Sickles & Mike G. Tsionas & Emmanuel Mamatzakis, 2022. "Heterogeneous decision-making and market power: an application to Eurozone banks," Empirical Economics, Springer, vol. 63(6), pages 3061-3092, December.
    5. Shaffer, Sherrill & Spierdijk, Laura, 2020. "Measuring multi-product banks’ market power using the Lerner index," Journal of Banking & Finance, Elsevier, vol. 117(C).
    6. Michael L. Polemis & Thanasis Stengos & Nickolaos G. Tzeremes, 2020. "Modeling the effect of competition on US manufacturing sectors’ efficiency: an order-m frontier analysis," Journal of Productivity Analysis, Springer, vol. 54(1), pages 27-41, August.
    7. Md. Asif Nawaz, 2021. "Impact of Specialization, Ownership Structure, and Size on Cost and Profit Efficiency of US Commercial and Savings Banks," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(3), pages 1-4.
    8. Fukuyama, Hirofumi & Tsionas, Mike & Tan, Yong, 2023. "Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: Application to the Chinese banking industry," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1360-1373.
    9. Yao, Xin & Huang, Ruting & Du, Kerui, 2019. "The impacts of market power on power grid efficiency: Evidence from China," China Economic Review, Elsevier, vol. 55(C), pages 99-110.
    10. Hirofumi Fukuyama & Yong Tan, 2023. "Estimating market power under a nonparametric analysis: evidence from the Chinese real estate sector," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(2), pages 599-622, June.

  11. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2018. "Debt Crisis in Europe (2001-2015): A Network General Equilibrium GVAR approach," MPRA Paper 89998, University Library of Munich, Germany.

    Cited by:

    1. Miyakoshi, Tatsuyoshi & Shimada, Junji, 2022. "Network analysis of local currency Asian government bond markets: Assessments of the ABFI and the ABMI," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).

  12. E. Mamatzakis & M. Tsionas, 2018. "Revisiting the returns of public infrastructure in Mexico: A limited information local likelihood estimation," Post-Print hal-01992480, HAL.

    Cited by:

    1. Xu, Jiajun & Ru, Xinshun & Song, Pengcheng, 2021. "Can a new model of infrastructure financing mitigate credit rationing in poorly governed countries?," Economic Modelling, Elsevier, vol. 95(C), pages 111-120.
    2. Peiwen Guo & Jun Fang & Ke Zhu, 2023. "The Spatial Spillover Effect and Function Routes of Transport Infrastructure Investment on Economic Growth: Evidence from Panel Data of OECD Members and Partners," Mathematics, MDPI, vol. 11(5), pages 1-26, February.
    3. Murakami, Hiroki & Sasaki, Hiroaki, 2020. "Economic development with public capital accumulation: The crucial role of wage flexibility on business cycles," Economic Modelling, Elsevier, vol. 93(C), pages 299-309.

  13. Panos Xidonas & Mike Tsionas & Constantin Zopounidis, 2018. "On mutual funds-of-ETFs asset allocation with rebalancing: sample covariance versus EWMA and GARCH," Post-Print hal-02880066, HAL.

    Cited by:

    1. Maciej Wysocki & Paweł Sakowski, 2022. "Investment Portfolio Optimization Based on Modern Portfolio Theory and Deep Learning Models," Working Papers 2022-12, Faculty of Economic Sciences, University of Warsaw.
    2. Xidonas, Panos & Doukas, Haris & Hassapis, Christis, 2021. "Grouped data, investment committees & multicriteria portfolio selection," Journal of Business Research, Elsevier, vol. 129(C), pages 205-222.

  14. Tsionas, Efthymios G. & Tran, Kien C. & Michaelides, Panayotis G., 2017. "Bayesian inference in threshold stochastic frontier models," LSE Research Online Documents on Economics 86848, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Guarini, Giulio & Laureti, Tiziana & Garofalo, Giuseppe, 2020. "Socio-institutional determinants of educational resource efficiency according to the capability approach: An endogenous stochastic frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).

  15. Tsionas, Mike G. & Michaelides, Panayotis G., 2017. "Bayesian analysis of chaos: The joint return-volatility dynamical system," MPRA Paper 80632, University Library of Munich, Germany.

    Cited by:

    1. Marisa Faggini & Bruna Bruno & Anna Parziale, 2019. "Does Chaos Matter in Financial Time Series Analysis?," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 18-24.
    2. Lahmiri, Salim & Bekiros, Stelios & Bezzina, Frank, 2020. "Multi-fluctuation nonlinear patterns of European financial markets based on adaptive filtering with application to family business, green, Islamic, common stocks, and comparison with Bitcoin, NASDAQ, ," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).

  16. Tsionas, Mike G. & Michaelides, Panayotis G., 2017. "Neglected chaos in international stock markets: Bayesian analysis of the joint return–volatility dynamical system," LSE Research Online Documents on Economics 80749, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Lahmiri, Salim & Bekiros, Stelios & Bezzina, Frank, 2020. "Multi-fluctuation nonlinear patterns of European financial markets based on adaptive filtering with application to family business, green, Islamic, common stocks, and comparison with Bitcoin, NASDAQ, ," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).

  17. Mike G. Tsionas, 2016. "Alternative Bayesian compression in Vector Autoregressions and related models," Working Papers 216, Bank of Greece.

    Cited by:

    1. Assaf, A. George & Tsionas, Mike, 2018. "The estimation and decomposition of tourism productivity," Tourism Management, Elsevier, vol. 65(C), pages 131-142.

  18. Dimitrios Anastasiou & Helen Louri & Mike G. Tsionas, 2016. "Non-performing loans in the euro area: are core-periphery banking markets fragmented?," Working Papers 219, Bank of Greece.

    Cited by:

    1. Cândida Ferreira, 2022. "Determinants of Non-performing Loans: A Panel Data Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 28(3), pages 133-153, November.
    2. Ghassan, Hassan & Boulanouar, Zakaria & Hassan, Kabir Mohammed, 2020. "Revisiting Banking Stability Using a New Panel Cointegration Test," MPRA Paper 107085, University Library of Munich, Germany, revised 2020.
    3. Matteo Foglia, 2022. "Non-Performing Loans and Macroeconomics Factors: The Italian Case," Risks, MDPI, vol. 10(1), pages 1-13, January.
    4. Ioanna Avgeri & Yiannis Dendramis & Helen Louri, 2020. "The Single Supervisory Mechanism and its implications for the profitability of European Banks," Working Papers 284, Bank of Greece.
    5. Karadima, Maria & Louri, Helen, 2021. "Economic policy uncertainty and non-performing loans: The moderating role of bank concentration," Finance Research Letters, Elsevier, vol. 38(C).
    6. Maria Karadima & Helen Louri, 2021. "Determinants of Non-Performing Loans in Greece: the intricate role of fiscal expansion," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 160, Hellenic Observatory, LSE.
    7. Gabriella Chiesa & José Manuel Mansilla-Fernández, 2021. "The dynamic effects of non-performing loans on banks’ cost of capital and lending supply in the Eurozone," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(2), pages 397-427, May.
    8. Louri, Helen & Migiakis, Petros, 2019. "Financing economic activity in Greece: past challenges and future prospects," LSE Research Online Documents on Economics 102644, London School of Economics and Political Science, LSE Library.
    9. Hans Patrick Bidias-Menik & Simplice Gaël Tonmo, 2020. "Interest Rate Predictability In Some Selected African Countries," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 9(3), pages 45-60.
    10. Dimitrios Anastasiou, 2021. "Macroeconomic determinants of MIR interest rate margin in the euro area," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 10(1), pages 39-53.
    11. Albulena Shala & Valentin Toçi & Arben Mustafa, 2022. "Macroeconomic, Structural, and Bank-specific Determinants of Non-performing Loans in Central and Eastern Europe," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 70(5), pages 411-429, May.
    12. H. Kent Baker & Satish Kumar & Kirti Goyal & Prashant Gupta, 2023. "International journal of finance and economics: A bibliometric overview," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 9-46, January.
    13. Dimitrios Anastasiou & Zacharias Bragoudakis & Ioannis Malandrakis, 2019. "Non-performing loans, governance indicators and systemic liquidity risk: evidence from Greece," Working Papers 260, Bank of Greece.
    14. G. Chiesa & J. M. Mansilla-Fern ndez, 2018. "Non-Performing Loans, Cost of Capital, and Lending Supply: Lessons from the Eurozone Banking Crisi," Working Papers wp1124, Dipartimento Scienze Economiche, Universita' di Bologna.
    15. Dimitrios Anastasiou & Zacharias Bragoudakis & Stelios Giannoulakis, 2020. "Perceived vs actual financial crisis and bank credit standards: is there any indication of self-fulfilling prophecy?," Working Papers 277, Bank of Greece.
    16. Helen Louri & Petros Migiakis, 2019. "Financing economic growth in Greece: lessons from the crisis," Working Papers 262, Bank of Greece.
    17. Chau Le & Aleksandar Šević & Panayiotis G. Tzeremes & Trong Ngo, 2022. "Bank efficiency in Vietnam: Do scale expansion strategies and non‐performing loans matter?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 822-843, January.
    18. Maria Karadima & Helen Louri, 2022. "Government debt accumulation and non-performing loans: An ARDL bounds testing approach," Economics and Business Letters, Oviedo University Press, vol. 11(4), pages 150-160.
    19. Karadima, Maria & Louri, Helen, 2020. "Non-performing loans in the euro area: Does bank market power matter?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    20. Dimitris ANASTASIOU, 2022. "Management and Resolution Methods of Non-performing Loans: A Review of the Literature," Springer Books, in: Hachmi BEN AMEUR & Zied FTITI & Wael LOUHICHI & Jean-Luc PRIGENT (ed.), Crises and Uncertainty in the Economy, chapter 0, pages 187-201, Springer.
    21. Maria Karadima & Helen Louri, 2019. "Non-performing loans in the euro area: does market power matter?," Working Papers 271, Bank of Greece.
    22. Katsafados, Apostolos & Anastasiou, Dimitris, 2022. "Short-term Prediction of Bank Deposit Flows: Do Textual Features matter?," MPRA Paper 111418, University Library of Munich, Germany.
    23. Yudina, Elena (Юдина, Елена), 2015. "Evaluation of the Quality of Preschool Education: A Comparative Analysis of Russian and International Practice [Оценка Качества Дошкольного Образования: Сравнительный Анализ Российской И Международ," Published Papers mak18, Russian Presidential Academy of National Economy and Public Administration.
    24. Anastasiou, Dimitrios & Katsafados, Apostolos G., 2020. "Bank Deposits Flows and Textual Sentiment: When an ECB President's speech is not just a speech," MPRA Paper 99729, University Library of Munich, Germany.
    25. Dmitri Blueschke & Viktoria Blueschke-Nikolaeva & Reinhard Neck, 2023. "Should fiscal policies be centralized in a monetary union? A dynamic game approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(4), pages 1129-1148, December.
    26. Anastasiou, Dimitrios, 2020. "Senior bank loan officers' expectations for loan demand: Evidence from the Euro-area," MPRA Paper 98903, University Library of Munich, Germany.
    27. Morakinyo Akinola & Muller Colette & Sibanda Mabutho, 2018. "Non-Performing Loans, Banking System and Macroeconomy," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 63(2), pages 67-86, August.
    28. Priyanshi Gupta & Sanjay Sehgal, 2020. "Convergence of retail banking interest rates to households in euro area: time-varying measurement and determinants," International Economics and Economic Policy, Springer, vol. 17(1), pages 25-65, February.
    29. Qazim Tmava & Ajtene Avdullahi & Bese Sadikaj, 2018. "Loan portfolio and nonperforming loans in Western Balkan Countries," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 7(4), pages 10-20, October.
    30. Dimitrios Anastasiou & Stelios Giannoulakis, 2021. "Are firms' expectations on the availability of external finance rational, adaptive or regressive?," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 49(5), pages 833-849, June.
    31. Anastasiou, Dimitrios, 2017. "The Interplay between Ex-post Credit Risk and the Cycles: Evidence from the Italian banks," MPRA Paper 79470, University Library of Munich, Germany.
    32. Anastasiou, Dimitrios, 2017. "Macroeconomic Determinants of MIR Rate: Evidence from the Euro area," MPRA Paper 80972, University Library of Munich, Germany.
    33. Gaudêncio, João & Mazany, Agnieszka & Schwarz, Claudia, 2019. "The impact of lending standards on default rates of residential real estate loans," Occasional Paper Series 220, European Central Bank.
    34. Maria Karadima & Helen Louri, 2020. "Bank Competition and Credit Risk in Euro Area Banking: Fragmentation and Convergence Dynamics," JRFM, MDPI, vol. 13(3), pages 1-28, March.
    35. Huljak, Ivan & Martin, Reiner & Moccero, Diego & Pancaro, Cosimo, 2020. "Do non-performing loans matter for bank lending and the business cycle in euro area countries?," Working Paper Series 2411, European Central Bank.
    36. Mohammad Motasem ALrfai & Danilah Binti Salleh & Waeibrorheem Waemustafa, 2022. "Empirical Examination of Credit Risk Determinant of Commercial Banks in Jordan," Risks, MDPI, vol. 10(4), pages 1-11, April.

  19. Tryphon Kollintzas & Dimitris Papageorgiou & Efthymios Tsionas & Vanghelis Vassilatos, 2016. "Market and Political Power Interactions in Greece:An Empirical Investigation," Working Papers 201606, Athens University Of Economics and Business, Department of Economics.

    Cited by:

    1. Liagouras, George, 2018. "On the Edge of the South European Model: Familism, Business and State in Greece," OSF Preprints 8eqmb, Center for Open Science.
    2. George Economides & Dimitris Papageorgiou & Apostolis Philippopoulos, 2020. "Macroeconomic policy lessons for Greece," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 152, Hellenic Observatory, LSE.
    3. George Economides & Dimitris Papageorgiou & Apostolis Philippopoulos, 2020. "Macroeconomic Policy Lessons for Greece from the Debt Crisis," CESifo Working Paper Series 8188, CESifo.
    4. George Economides & Dimitris Papageorgiou & Apostolis Philippopoulos, 2021. "Austerity, Assistance and Institutions: Lessons from the Greek Sovereign Debt Crisis," Open Economies Review, Springer, vol. 32(3), pages 435-478, July.
    5. Juselius, Katarina & Dimelis, Sophia, 2019. "The Greek crisis: A story of self-reinforcing feedback mechanisms," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-22.
    6. Vasiliki Dimakopoulou & George Economides & Apostolis Philippopoulos, 2021. "The ECB's Policy, the Recovery Fund and the Importance of Trust: The Case of Greece," CESifo Working Paper Series 9371, CESifo.
    7. Tryphon Kollintzas & Dimitris Papageorgiou & Vanghelis Vassilatos, 2016. "Market and Political Power Interactions in Greece: A Theory," Working Papers 201601, Athens University Of Economics and Business, Department of Economics.
    8. Maria‐Eleni K. Agoraki & Stella Kardara & Tryphon Kollintzas & Georgios P. Kouretas, 2023. "Debt‐to‐GDP changes and the great recession: European Periphery versus European Core," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3299-3331, July.
    9. Tryphon Kollintzas & Dimitris Papageorgiou & Vanghelis Vassilatos, 2021. "Implications of market and political power interactions for growth and the business cycle I: private sector equilibrium," Working Papers 288, Bank of Greece.

  20. Michaelides, Panayotis G. & Tsionas, Efthymios & Konstantakis, Konstantinos, 2016. "Financial Bubble Detection : A Non-Linear Method with Application to S&P 500," MPRA Paper 74477, University Library of Munich, Germany.

    Cited by:

    1. Balcilar, Mehmet & Katzke, Nico & Gupta, Rangan, 2017. "Date-stamping US housing market explosivity," Economics Discussion Papers 2017-44, Kiel Institute for the World Economy (IfW Kiel).

  21. Delis, Manthos & Hasan, Iftekhar & Tsionas, Efthymios, 2015. "Banks’ Risk Endogenous to Strategic Management Choices," MPRA Paper 64907, University Library of Munich, Germany.

    Cited by:

    1. Carlos Arango & Yassine Bouhdaouiz & David Bounie & Martina Eschelbach & Lola Hernández, 2014. "Cash Management and Payment Choices: A Simulation Model with International Comparisons," Borradores de Economia 804, Banco de la Republica de Colombia.
    2. Daron Acemoglu & Ufuk Akcigit & Douglas Hanley & William R. Kerr, 2014. "Transition to Clean Technology," Harvard Business School Working Papers 15-045, Harvard Business School.
    3. Lartey, Theophilus & James, Gregory A. & Danso, Albert, 2021. "Interbank funding, bank risk exposure and performance in the UK: A three-stage network DEA approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
    4. Mariotto, Carlotta & Verdier, Marianne, 2015. "Innovation and competition in Internet and mobile banking: an industrial organization perspective," Bank of Finland Research Discussion Papers 23/2015, Bank of Finland.
    5. Kerr, William R. & Nanda, Ramana, 2015. "Financing innovation," Bank of Finland Research Discussion Papers 28/2015, Bank of Finland.
    6. Eerola, Essi & Saarimaa, Tuukka, 2015. "Who benefits from public housing?," Bank of Finland Research Discussion Papers 30/2015, Bank of Finland.
    7. Delis, Manthos & Iosifidi, Maria & Tsionas, Mike G, 2017. "Endogenous bank risk and efficiency," European Journal of Operational Research, Elsevier, vol. 260(1), pages 376-387.

  22. Malikov, Emir & Kumbhakar, Subal C. & Tsionas, Efthymios G., 2015. "Bayesian Approach to Disentangling Technical and Environmental Productivity," MPRA Paper 64877, University Library of Munich, Germany.

    Cited by:

    1. Malikov, Emir & Kumbhakar, Subal C. & Tsionas, Efthymios, 2015. "A Cost System Approach to the Stochastic Directional Technology Distance Function with Undesirable Outputs: The Case of U.S. Banks in 2001-2010," MPRA Paper 66490, University Library of Munich, Germany.
    2. Sushama Murty & R. Robert Russell, "undated". "Bad Outputs," Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi Discussion Papers 17-06, Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi, India.
    3. Finn R. Førsund, 2018. "Multi-equation modelling of desirable and undesirable outputs satisfying the materials balance," Empirical Economics, Springer, vol. 54(1), pages 67-99, February.
    4. Emir Malikov & Raushan Bokusheva & Subal C. Kumbhakar, 2018. "A hedonic-output-index-based approach to modeling polluting technologies," Empirical Economics, Springer, vol. 54(1), pages 287-308, February.
    5. Sushama Murty & Resham Nagpal, "undated". "Weighted index of graph efficiency improvements for a by-production technology and its application to Indian coal-based thermal power sector," Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi Discussion Papers 18-08, Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi, India.

  23. Konstantakis, Konstantinos & Michaelides, Panayotis G. & Tsionas, Efthymios, 2015. "The Determinants of Economic Fluctuations in Greece: An Empirical Investigation (1995-2014)," MPRA Paper 74459, University Library of Munich, Germany.

    Cited by:

    1. Canh P. Nguyen & Christophe Schinckus & Dinh Su Thanh, 2020. "Economic Fluctuations And The Shadow Economy: A Global Study," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-24, September.

  24. Tsionas, Efthymios & Kumbhakar, Subal C. & Malikov, Emir, 2015. "Estimation of Input Distance Functions: A System Approach," MPRA Paper 62329, University Library of Munich, Germany.

    Cited by:

    1. Malikov, Emir, 2016. "Estimating Multi-Product Production Functions and Productivity using Control Functions," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235108, Agricultural and Applied Economics Association.
    2. Shabbir Ahmad, 2020. "Estimating input-mix efficiency in a parametric framework: application to state-level agricultural data for the United States," Applied Economics, Taylor & Francis Journals, vol. 52(36), pages 3976-3997, July.
    3. Mosheim, Roberto & Sickles, Robin C., 2020. "Spatial Effects of Nutrient Pollution on Drinking Water Production," Working Papers 20-002, Rice University, Department of Economics.
    4. Ligia Alba Melo-Becerra & Lucas Wilfried Hahn-De-Castro & Dalma Sofía Ariza-Hernández & Cristian Oswaldo Carmona-Sanchez, 2016. "Efficiency of Public Education in a Multiproduct Context: The Case of Colombian Municipalities," Borradores de Economia 979, Banco de la Republica de Colombia.
    5. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2019. "Estimating Stochastic Ray Production Frontiers," IFRO Working Paper 2019/06, University of Copenhagen, Department of Food and Resource Economics.
    6. Ioannis Skevas, 2023. "A novel modeling framework for quantifying spatial spillovers on total factor productivity growth and its components," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1221-1247, August.
    7. Emir Malikov & Gudbrand Lien, 2021. "Proxy Variable Estimation of Multiproduct Production Functions," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1878-1902, October.
    8. Bhattacharyya, Aditi & Kutlu, Levent & Sickles, Robin C., 2018. "Pricing Inputs and Outputs: Market prices versus shadow prices, market power, and welfare analysis," Working Papers 18-009, Rice University, Department of Economics.
    9. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022. "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, vol. 62(3), pages 1345-1363, March.
    10. Li, Hongchang & Yu, Kemei & Wang, Kun & Zhang, Anming, 2019. "Market power and its determinants in the Chinese railway industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 261-276.
    11. Melo-Becerra, Ligia Alba & Hahn-De-Castro, Lucas Wilfried & Ariza, Dalma Sofía & Carmona, Cristian Oswaldo, 2020. "Efficiency of local public education in a decentralized context," International Journal of Educational Development, Elsevier, vol. 76(C).
    12. Heshmati, Almas & C. Kumbhakar, Subal & Kim, Jungsuk, 2016. "Persistent and Transient Efficiency of International Airlines," Working Paper Series in Economics and Institutions of Innovation 444, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    13. Yongseung Han & Arthur Snow & Ronald S. Warren, 2021. "Changes in the productive efficiency of U.S. flour mills in the late nineteenth century: an input-distance-function approach," Journal of Productivity Analysis, Springer, vol. 56(2), pages 115-132, December.

  25. Malikov, Emir & Kumbhakar, Subal C. & Tsionas, Efthymios, 2015. "A Cost System Approach to the Stochastic Directional Technology Distance Function with Undesirable Outputs: The Case of U.S. Banks in 2001-2010," MPRA Paper 66490, University Library of Munich, Germany.

    Cited by:

    1. Iosifidi, Maria & Panopoulou, Ekaterini & Tsoumas, Chris, 2021. "Mortgage loan demand and banks’ operational efficiency," Journal of Financial Stability, Elsevier, vol. 53(C).
    2. Mike G. Tsionas, 2019. "Robust Bayesian Inference in Stochastic Frontier Models," JRFM, MDPI, vol. 12(4), pages 1-9, December.
    3. Guohua Feng & Chuan Wang & Apostolos Serletis, 2018. "Shadow prices of $$\hbox {CO}_{2}$$ CO 2 emissions at US electric utilities: a random-coefficient, random-directional-vector directional output distance function approach," Empirical Economics, Springer, vol. 54(1), pages 231-258, February.
    4. Mike G. Tsionas, 2017. "“When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 948-965, July.
    5. Tsionas, Mike G., 2020. "Bounded rationality and thick frontiers in stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 284(2), pages 762-768.
    6. Tsionas, Mike G., 2020. "Directional technology distance functions through duality," Economics Letters, Elsevier, vol. 190(C).
    7. Tsionas, Mike G., 2017. "The profit function system with output- and input-specific technical efficiency," Economics Letters, Elsevier, vol. 151(C), pages 111-114.
    8. Tsionas, Efthymios G. & Malikov, Emir & Kumbhakar, Subal C., 2018. "An internally consistent approach to the estimation of market power and cost efficiency with an application to U.S. banking," European Journal of Operational Research, Elsevier, vol. 270(2), pages 747-760.
    9. Tsionas, Mike G., 2020. "Quantile Stochastic Frontiers," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1177-1184.
    10. Safiullah, Md & Shamsuddin, Abul, 2022. "Technical efficiency of Islamic and conventional banks with undesirable output: Evidence from a stochastic meta-frontier directional distance function," Global Finance Journal, Elsevier, vol. 51(C).
    11. Delis, Manthos D. & Iosifidi, Maria & Tsionas, Mike, 2020. "Management estimation in banking," European Journal of Operational Research, Elsevier, vol. 284(1), pages 355-372.
    12. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    13. Safiullah, Md, 2020. "Bank governance and crisis-period efficiency: A multinational study on Islamic and conventional banks," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    14. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "A novel model of costly technical efficiency," European Journal of Operational Research, Elsevier, vol. 268(2), pages 653-664.
    15. Valentin Zelenyuk & Valentyn Panchenko, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP022023, School of Economics, University of Queensland, Australia.
    16. Artem Prokhorov & Kien C. Tran & Mike G. Tsionas, 2021. "Estimation of semi- and nonparametric stochastic frontier models with endogenous regressors," Empirical Economics, Springer, vol. 60(6), pages 3043-3068, June.
    17. Tsionas, Mike G., 2023. "Minimax regret priors for efficiency estimation," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1279-1285.
    18. Benjamin Hampf, 2018. "Measuring inefficiency in the presence of bad outputs: Does the disposability assumption matter?," Empirical Economics, Springer, vol. 54(1), pages 101-127, February.
    19. Fernández, Xosé Luís & Paz-Saavedra, David & Coto-Millán, Pablo, 2020. "The impact of Brexit on bank efficiency: Evidence from UK and Ireland," Finance Research Letters, Elsevier, vol. 36(C).
    20. Emir Malikov & Raushan Bokusheva & Subal C. Kumbhakar, 2018. "A hedonic-output-index-based approach to modeling polluting technologies," Empirical Economics, Springer, vol. 54(1), pages 287-308, February.
    21. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2019. "Estimating Stochastic Ray Production Frontiers," IFRO Working Paper 2019/06, University of Copenhagen, Department of Food and Resource Economics.
    22. Tsionas, Mike G., 2023. "Combining data envelopment analysis and stochastic frontiers via a LASSO prior," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1158-1166.
    23. Yaryna Kolomiytseva, 2018. "Revisiting Transformation and Directional Technology Distance Functions," Papers 1812.10108, arXiv.org.
    24. Tsionas, Mike G. & Andrikopoulos, Athanasios, 2020. "On a High-Dimensional Model Representation method based on Copulas," European Journal of Operational Research, Elsevier, vol. 284(3), pages 967-979.
    25. Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.
    26. Tsionas, Mike G., 2023. "Clustering and meta-envelopment in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 304(2), pages 763-778.
    27. Mike G. Tsionas, 2020. "Remarks on Bank Competition and Convergence Dynamics," JRFM, MDPI, vol. 13(5), pages 1-5, May.
    28. Tsionas, Mike G., 2023. "Performance estimation when the distribution of inefficiency is unknown," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1212-1222.
    29. Ruochen Wu & Melvyn Weeks, 2020. "A Semi-Parametric Bayesian Generalized Least Squares Estimator," Papers 2011.10252, arXiv.org, revised Jan 2023.
    30. Tsionas, Mike G., 2023. "Joint production in stochastic non-parametric envelopment of data with firm-specific directions," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1336-1347.
    31. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "Smooth approximations to monotone concave functions in production analysis: An alternative to nonparametric concave least squares," European Journal of Operational Research, Elsevier, vol. 271(3), pages 797-807.
    32. Tsionas, Mike G., 2021. "Optimal combinations of stochastic frontier and data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 294(2), pages 790-800.
    33. Simar, Léopold & Wilson, Paul, 2021. "Nonparametric, Stochastic Frontier Models with Multiple Inputs and Outputs," LIDAM Discussion Papers ISBA 2021003, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    34. Michael L. Polemis & Mike G. Tsionas, 2022. "Endogenous productivity: a new Bayesian perspective," Annals of Operations Research, Springer, vol. 318(1), pages 425-451, November.
    35. Guohua Feng & Chuan Wang & Xibin Zhang, 2019. "Estimation of inefficiency in stochastic frontier models: a Bayesian kernel approach," Journal of Productivity Analysis, Springer, vol. 51(1), pages 1-19, February.
    36. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022. "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, vol. 62(3), pages 1345-1363, March.
    37. Yu, Yang & Fan, Linlin, 2021. "How Does Supplemental Nutrition Assistance Program Affect Household Food Waste?," 2021 Annual Meeting, August 1-3, Austin, Texas 313984, Agricultural and Applied Economics Association.
    38. Tsionas, Mike G., 2024. "A generalized inefficiency model with input and output dependence," European Journal of Operational Research, Elsevier, vol. 312(1), pages 315-323.
    39. Tsionas, Mike G., 2020. "A coherent approach to Bayesian Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 281(2), pages 439-448.
    40. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2022. "Efficiency Analysis with Stochastic Frontier Models Using Popular Statistical Softwares," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 129-171, Springer.
    41. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP092021, School of Economics, University of Queensland, Australia.
    42. Tsionas, Mike G., 2021. "Comparison of stochastic frontier models using the Hyvärinen factor," Economics Letters, Elsevier, vol. 202(C).
    43. Martin Boďa & Emília Zimková, 2021. "A DEA model for measuring financial intermediation," Economic Change and Restructuring, Springer, vol. 54(2), pages 339-370, May.

  26. Jakob Grazzini & Matteo G. Richiardi & Mike Tsionas, 2015. "Bayesian Estimation of Agent-Based Models," LABORatorio R. Revelli Working Papers Series 145, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," SciencePo Working papers Main halshs-01390694, HAL.
    2. Seri, Raffaello & Martinoli, Mario & Secchi, Davide & Centorrino, Samuele, 2021. "Model calibration and validation via confidence sets," Econometrics and Statistics, Elsevier, vol. 20(C), pages 62-86.
    3. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
    4. Valerio Scalone, 2018. "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound," Working papers 688, Banque de France.
    5. Bence Mérõ, 2019. "Novel Modelling of the Operation of the Financial Intermediary System – Agent-based Macro Models," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(3), pages 83-113.
    6. Priscilla Avegliano & Jaime Simão Sichman, 2023. "Equation-Based Versus Agent-Based Models: Why Not Embrace Both for an Efficient Parameter Calibration?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 26(4), pages 1-3.
    7. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Kukacka, Jiri & Jang, Tae-Seok & Sacht, Stephen, 2018. "On the estimation of behavioral macroeconomic models via simulated maximum likelihood," Economics Working Papers 2018-11, Christian-Albrechts-University of Kiel, Department of Economics.
    9. Domenico Delli Gatti & Jakob Grazzini, 2019. "Rising to the Challenge: Bayesian Estimation and Forecasting Techniques for Macroeconomic Agent-Based Models," CESifo Working Paper Series 7894, CESifo.
    10. Flavio Calvino & Daniele Giachini & Mattia Guerini, 2022. "The age distribution of business firms," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 205-245, January.
    11. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux: New Developments and Challenges Ahead," Sciences Po publications info:hdl:2441/dcditnq6282, Sciences Po.
    12. Mohammad Ghaderi, 2020. "Public Health Interventions in the Face of Pandemics: Network Structure, Social Distancing, and Heterogeneity," Working Papers 1193, Barcelona School of Economics.
    13. Lucas Fievet & Didier Sornette, 2018. "Calibrating emergent phenomena in stock markets with agent based models," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
    14. Kukacka, Jiri & Kristoufek, Ladislav, 2021. "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 324-356.
    15. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    16. Ivonne Schwartz & Mark Kirstein, 2022. "Time is limited on the road to asymptopia," Papers 2208.08169, arXiv.org.
    17. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent - based model," Sciences Po publications 2018-02, Sciences Po.
    18. Yi Zhang & Zhe Li & Yongchao Zhang, 2020. "Validation and Calibration of an Agent-Based Model: A Surrogate Approach," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-9, January.
    19. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    20. Severin Reissl, 2021. "Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid Agent-based Stock-flow-consistent model," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 251-299, January.
    21. Tilfani, Oussama & Kristoufek, Ladislav & Ferreira, Paulo & El Boukfaoui, My Youssef, 2022. "Heterogeneity in economic relationships: Scale dependence through the multivariate fractal regression," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    22. Aldo Glielmo & Marco Favorito & Debmallya Chanda & Domenico Delli Gatti, 2023. "Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs," Papers 2302.11835, arXiv.org, revised Dec 2023.
    23. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    24. Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
    25. Lux, Thomas, 2020. "Bayesian estimation of agent-based models via adaptive particle Markov chain Monte Carlo," Economics Working Papers 2020-01, Christian-Albrechts-University of Kiel, Department of Economics.
    26. Joel Dyer & Patrick Cannon & J. Doyne Farmer & Sebastian Schmon, 2022. "Black-box Bayesian inference for economic agent-based models," Papers 2202.00625, arXiv.org.
    27. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org, revised Nov 2023.
    28. Blake LeBaron, 2021. "Microconsistency in Simple Empirical Agent-Based Financial Models," Computational Economics, Springer;Society for Computational Economics, vol. 58(1), pages 83-101, June.
    29. Lux, Thomas, 2018. "Estimation of agent-based models using sequential Monte Carlo methods," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 391-408.
    30. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    31. Siyan Chen & Saul Desiderio, 2022. "Calibration of Agent-Based Models by Means of Meta-Modeling and Nonparametric Regression," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1457-1478, December.
    32. Jang, Tae-Seok & Sacht, Stephen, 2018. "Macroeconomic dynamics under bounded rationality: On the impact of consumers' forecast heuristics," Economics Working Papers 2018-10, Christian-Albrechts-University of Kiel, Department of Economics.
    33. Donovan Platt & Tim Gebbie, 2016. "The Problem of Calibrating an Agent-Based Model of High-Frequency Trading," Papers 1606.01495, arXiv.org, revised Mar 2017.
    34. Svitlana Vyetrenko & David Byrd & Nick Petosa & Mahmoud Mahfouz & Danial Dervovic & Manuela Veloso & Tucker Hybinette Balch, 2019. "Get Real: Realism Metrics for Robust Limit Order Book Market Simulations," Papers 1912.04941, arXiv.org.
    35. Zila, Eric & Kukacka, Jiri, 2023. "Moment set selection for the SMM using simple machine learning," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 366-391.
    36. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.
    37. Kukacka, Jiri & Barunik, Jozef, 2016. "Estimation of financial agent-based models with simulated maximum likelihood," FinMaP-Working Papers 63, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    38. Donovan Platt, 2022. "Bayesian Estimation of Economic Simulation Models Using Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 599-650, February.
    39. Ghaderi, Mohammad, 2022. "Public health interventions in the face of pandemics: Network structure, social distancing, and heterogeneity," European Journal of Operational Research, Elsevier, vol. 298(3), pages 1016-1031.
    40. Troost, Christian & Huber, Robert & Bell, Andrew R. & van Delden, Hedwig & Filatova, Tatiana & Le, Quang Bao & Lippe, Melvin & Niamir, Leila & Polhill, J. Gareth & Sun, Zhanli & Berger, Thomas, 2023. "How to keep it adequate: A protocol for ensuring validity in agent-based simulation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 159, pages 1-21.
    41. Emanuele Ciola & Edoardo Gaffeo & Mauro Gallegati, 2021. "Search for Profits and Business Fluctuations: How Banks' Behaviour Explain Cycles?," Working Papers 450, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    42. Mohammad Ghaderi, 2020. "Public health interventions in the face of pandemics: network structure, social distancing, and heterogeneity," Economics Working Papers 1732, Department of Economics and Business, Universitat Pompeu Fabra.
    43. Gao, Rui & Li, Yaqiong & Lin, Lisha, 2019. "Bayesian statistical inference for European options with stock liquidity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 312-322.
    44. Zhang, Jinyu & Zhang, Qiaosen & Li, Yong & Wang, Qianchao, 2023. "Sequential Bayesian inference for agent-based models with application to the Chinese business cycle," Economic Modelling, Elsevier, vol. 126(C).
    45. Gianluca Capone & Franco Malerba & Richard R. Nelson & Luigi Orsenigo & Sidney G. Winter, 2019. "History friendly models: retrospective and future perspectives," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 1-23, March.
    46. Lux, Thomas, 2017. "Estimation of agent-based models using sequential Monte Carlo methods," Economics Working Papers 2017-07, Christian-Albrechts-University of Kiel, Department of Economics.
    47. Shiono, Takashi, 2021. "Estimation of agent-based models using Bayesian deep learning approach of BayesFlow," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    48. Francesco Lamperti, 2016. "Empirical Validation of Simulated Models through the GSL-div: an Illustrative Application," LEM Papers Series 2016/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    49. Steinbacher, Mitja & Raddant, Matthias & Karimi, Fariba & Camacho-Cuena, Eva & Alfarano, Simone & Iori, Giulia & Lux, Thomas, 2021. "Advances in the Agent-Based Modeling of Economic and Social Behavior," MPRA Paper 107317, University Library of Munich, Germany.
    50. Herbert Dawid & Philipp Harting & Sander van der Hoog, 2019. "Manager remuneration, share buybacks, and firm performance," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(3), pages 681-706.
    51. Kukacka, Jiri & Sacht, Stephen, 2021. "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers 2021-01, Christian-Albrechts-University of Kiel, Department of Economics.
    52. Ermanno Catullo & Mauro Gallegati & Alberto Russo, 2020. "Forecasting in a complex environment: Machine learning sales expectations in a Stock Flow Consistent Agent-Based simulation model," Working Papers 2020/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    53. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    54. Platt, Donovan & Gebbie, Tim, 2018. "Can agent-based models probe market microstructure?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1092-1106.
    55. Nils Bertschinger & Iurii Mozzhorin, 2021. "Bayesian estimation and likelihood-based comparison of agent-based volatility models," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 173-210, January.
    56. Elizabeth Jane Casabianca & Alessia Lo Turco & Daniela Maggioni, 2021. "Migration And The Structure Of Manufacturing Production. A View From Italian Provinces," Working Papers 448, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    57. Francesco Lamperti, 2018. "Empirical validation of simulated models through the GSL-div: an illustrative application," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 143-171, April.
    58. Ernesto Carrella, 2021. "No Free Lunch when Estimating Simulation Parameters," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(2), pages 1-7.
    59. Tubbenhauer, Tobias & Fieberg, Christian & Poddig, Thorsten, 2021. "Multi-agent-based VaR forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    60. Ernesto Carrella & Richard Bailey & Jens Koed Madsen, 2020. "Calibrating Agent-Based Models with Linear Regressions," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(1), pages 1-7.
    61. Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    62. Tuong Manh Vu & Charlotte Probst & Alexandra Nielsen & Hao Bai & Petra S. Meier & Charlotte Buckley & Mark Strong & Alan Brennan & Robin C. Purshouse, 2020. "A Software Architecture for Mechanism-Based Social Systems Modelling in Agent-Based Simulation Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(3), pages 1-1.
    63. Thomas Lux, 2022. "Bayesian Estimation of Agent-Based Models via Adaptive Particle Markov Chain Monte Carlo," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 451-477, August.

  27. Delis, Manthos D. & Hasan, Iftekhar & Tsionas, Efthymios G., 2014. "The risk of financial intermediaries," Bank of Finland Research Discussion Papers 18/2014, Bank of Finland.

    Cited by:

    1. Agus Widarjono & Diana Wijayanti & Suharto Suharto, 2022. "Funding liquidity risk and asset risk of Indonesian Islamic rural banks," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2059911-205, December.
    2. Gokben Cevikcan & Oktay Tas, 2022. "Risk-Oriented Efficiency Assessment within the Level of Capitalization for Financial Institutions: Evidence from Turkish Securities Firms," IJFS, MDPI, vol. 10(4), pages 1-30, November.
    3. Bouvatier, Vincent & Lepetit, Laetitia & Rehault, Pierre-Nicolas & Strobel, Frank, 2023. "Time-varying Z-score measures for bank insolvency risk: Best practice," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 170-179.
    4. Simona Galletta & Sebastiano Mazzù, 2023. "ESG controversies and bank risk taking," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 274-288, January.
    5. Manh Hung Pham & Nhat Minh Nguyen, 2023. "Bank funding diversity, risk and profitability: Evidence from Vietnam in the context of the Covid-19 pandemic," Cogent Business & Management, Taylor & Francis Journals, vol. 10(1), pages 2191305-219, December.

  28. Drivas, Kyriakos & Economidou, Claire & Karkalakos, Sotiris & Tsionas, Efthymios G., 2014. "Mobility of Knowledge and Local Innovation Activity," MPRA Paper 57478, University Library of Munich, Germany.

    Cited by:

    1. Polemis, Michael & Tselekounis, Markos, 2019. "Does deregulation drive innovation intensity? Lessons learned from the OECD telecommunications sector," MPRA Paper 92770, University Library of Munich, Germany.
    2. Bechlioulis, Alexandros & Economidou, Claire & Karamanis, Dimitrios & Konstantios, Dimitrios, 2023. "How important are capital controls in shaping innovation activity?," Journal of International Money and Finance, Elsevier, vol. 131(C).
    3. Antonelli, Cristiano & Crespi, Francesco & Quatraro, Francesco, 2022. "Knowledge complexity and the mechanisms of knowledge generation and exploitation: The European evidence," Research Policy, Elsevier, vol. 51(8).
    4. Conti, C. & Mancusi, M.L. & Sanna-Randaccio, F. & Sestini, R. & Verdolini, E., 2018. "Transition towards a green economy in Europe: Innovation and knowledge integration in the renewable energy sector," Research Policy, Elsevier, vol. 47(10), pages 1996-2009.
    5. Kyriakos Drivas, 2021. "Which travels farther? Knowledge or rivalry?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(2), pages 299-333, October.
    6. Jaap W. B. Bos & Claire Economidou & Lu Zhang, 2020. "Specialization in the presence of trade and financial openness," Empirical Economics, Springer, vol. 58(6), pages 2783-2816, June.
    7. Tao Hu & Yin Zhang, 2021. "A spatial–temporal network analysis of patent transfers from U.S. universities to firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 27-54, January.
    8. Dominguez Lacasa, Iciar & Jindra, Björn & Radosevic, Slavo & Shubbak, Mahmood, 2019. "Paths of technology upgrading in the BRICS economies," Research Policy, Elsevier, vol. 48(1), pages 262-280.
    9. Kyriakos Drivas & Claire Economidou & Konstantinos N. Konstantakis & Panayotis G. Michaelides, 2022. "Technological Leaders, Laggards and Spillovers: A Network GVAR Analysis," Open Economies Review, Springer, vol. 33(2), pages 231-269, April.
    10. Drivas, Kyriakos & Economidou, Claire & Karamanis, Dimitris & Sanders, Mark, 2018. "Mobility of Highly Skilled Individuals and Local Innovation Activity," MPRA Paper 88883, University Library of Munich, Germany.

  29. Drivas, Kyriakos & Economidou, Claire & Tsionas, Efthymios G., 2014. "A Poisson Stochastic Frontier Model with Finite Mixture Structure," MPRA Paper 57485, University Library of Munich, Germany.

    Cited by:

    1. Mutz, Rüdiger & Bornmann, Lutz & Daniel, Hans-Dieter, 2017. "Are there any frontiers of research performance? Efficiency measurement of funded research projects with the Bayesian stochastic frontier analysis for count data," Journal of Informetrics, Elsevier, vol. 11(3), pages 613-628.
    2. Rouven E. Haschka & Helmut Herwartz, 2022. "Endogeneity in pharmaceutical knowledge generation: An instrument‐free copula approach for Poisson frontier models," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 942-960, November.

  30. Delis, Manthos D & Iosifidi, Maria & Tsionas, Efthymios, 2012. "On the estimation of marginal cost," MPRA Paper 43514, University Library of Munich, Germany.

    Cited by:

    1. Delis, Manthos D & Kokas, Sotiris, 2014. "Foreign ownership and market power in banking: Evidence from a world sample," MPRA Paper 53957, University Library of Munich, Germany.
    2. Michael L. Polemis, 2018. "Revisiting the Environmental Kuznets Curve: a semi-parametric analysis on the role of market structure on environmental pollution," Letters in Spatial and Resource Sciences, Springer, vol. 11(1), pages 27-35, March.
    3. Mirzaei, Ali & Moore, Tomoe, 2014. "What are the driving forces of bank competition across different income groups of countries?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 38-71.
    4. Bogdan Căpraru & Iulian Ihnatov & Nicoleta-Livia Pintilie, 2021. "Bank Competition And Risk-Taking In The European Union: Evidence Of A Non-Linear Relationship," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 66(230), pages 35-66, July – Se.
    5. Tsionas, Efthymios G. & Malikov, Emir & Kumbhakar, Subal C., 2018. "An internally consistent approach to the estimation of market power and cost efficiency with an application to U.S. banking," European Journal of Operational Research, Elsevier, vol. 270(2), pages 747-760.
    6. Aparicio, Juan & Pastor, Jesús & Zofío, José Luis, 2013. "How to properly decompose economic efficiency using technical and allocative criteria with non-homothetic DEA technologies," Working Papers in Economic Theory 2013/11, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
    7. Sotirios Kokas & Dmitri Vinogradov & Marios Zachariadis, 2018. "Which Banks Smooth and at What Price?," Working Papers 2018_03, Business School - Economics, University of Glasgow.
    8. Shao, Zhen & Gao, Fei & Yang, Shan-Lin & Yu, Ben-gong, 2015. "A new semiparametric and EEMD based framework for mid-term electricity demand forecasting in China: Hidden characteristic extraction and probability density prediction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 876-889.
    9. Delis, Manthos D. & Iosifidi, Maria & Tsionas, Mike, 2020. "Management estimation in banking," European Journal of Operational Research, Elsevier, vol. 284(1), pages 355-372.
    10. Manthos D. Delis & Sotirios Kokas & Steven Ongena, 2015. "Bank market power and firm performance," University of Cyprus Working Papers in Economics 02-2015, University of Cyprus Department of Economics.
    11. Chletsos, Michael & Sintos, Andreas, 2021. "The effect of financial fragility on employment," Economic Modelling, Elsevier, vol. 94(C), pages 104-120.
    12. Rakshit, Bijoy & Bardhan, Samaresh, 2023. "Does bank competition affect the transmission mechanism of monetary policy through bank lending channel? Evidence from India," Journal of Asian Economics, Elsevier, vol. 86(C).
    13. Memanova, Tamilyam & Mylonidis, Nikolaos, 2020. "Exploring the nexus between bank market power and exports," Economic Modelling, Elsevier, vol. 84(C), pages 222-233.
    14. Juan Aparicio & José L. Zofío, 2017. "Revisiting the decomposition of cost efficiency for non-homothetic technologies: a directional distance function approach," Journal of Productivity Analysis, Springer, vol. 48(2), pages 133-146, December.
    15. Alphonse Noah & Luc Jacolin & Michael Brei, 2018. "Credit Risk And Bank Competition In Sub-Saharan Africa," EconomiX Working Papers 2018-27, University of Paris Nanterre, EconomiX.
    16. Sophocles N. Brissimis & Manthos D. Delis & Maria Iosifidi, 2014. "Bank Market Power and Monetary Policy Transmission," International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 173-214, December.
    17. Rakshit, Bijoy & Bardhan, Samaresh, 2022. "An empirical investigation of the effects of competition, efficiency and risk-taking on profitability: An application in Indian banking," Journal of Economics and Business, Elsevier, vol. 118(C).
    18. Hailu Abebe Wondirad, 2020. "Competition and microfinance institutions’ performance: evidence from India," International Journal of Corporate Social Responsibility, Springer, vol. 5(1), pages 1-19, December.
    19. Tsionas, Mike G. & Polemis, Michael L., 2019. "On the estimation of total factor productivity: A novel Bayesian non-parametric approach," European Journal of Operational Research, Elsevier, vol. 277(3), pages 886-902.
    20. Claudius Gros, 2022. "Generic catastrophic poverty when selfish investors exploit a degradable common resource," Papers 2208.08171, arXiv.org, revised Jan 2023.
    21. Bogetoft, Peter & Hougaard, Jens Leth & Smilgins, Aleksandrs, 2016. "Applied cost allocation: The DEA–Aumann–Shapley approach," European Journal of Operational Research, Elsevier, vol. 254(2), pages 667-678.
    22. Koffi Elitcha, 2021. "The moderating role of stock markets in the bank competition-entrepreneurship relationship," Small Business Economics, Springer, vol. 56(4), pages 1333-1360, April.
    23. Apergis, Nicholas, 2015. "Competition in the banking sector: New evidence from a panel of emerging market economies and the financial crisis," Emerging Markets Review, Elsevier, vol. 25(C), pages 154-162.

  31. Caraveli, Helen & Tsionas, Efthymios G., 2012. "Economic restructuring, crises and the regions: the political economy of regional inequalities in Greece," LSE Research Online Documents on Economics 44882, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Mamatzakis, Emmanuel, 2013. "Are there any animal spirits behind the scenes of the Euro area sovereign debt crisis?," LSE Research Online Documents on Economics 50984, London School of Economics and Political Science, LSE Library.
    2. Yannis Valinakis, 2012. "Greece’s European Policy Making," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 63, Hellenic Observatory, LSE.
    3. Athanasia Chalari & Clive Sealey & Mike Webb, 2016. "A Comparison of Subjective Experiences and Responses to Austerity of UK and Greek Youth," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 102, Hellenic Observatory, LSE.
    4. Andrés Rodríguez-Pose & Alexandra Sotiriou, 2021. "Trading with richer and poorer countries: trade integration and regional inequality in Greece," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 697-725, December.
    5. Apergis, Nicholas & Cooray, Arusha, 2013. "New evidence on the remedies of the Greek sovereign debt problem," LSE Research Online Documents on Economics 55266, London School of Economics and Political Science, LSE Library.
    6. Nick Papandreou, 2014. "Life in the First Person and the Art of Political Storytelling:The Rhetoric of Andreas Papandreou," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 85, Hellenic Observatory, LSE.
    7. Yiannos Katsourides, 2013. "Political Parties and Trade Unions in Cyprus," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 74, Hellenic Observatory, LSE.
    8. Platon Monokroussos & Dimitrios D. Thomakos & Thomas A. Alexopoulos, 2016. "The Determinants of Loan Loss Provisions: An Analysis of the Greek Banking System in Light of the Sovereign Debt Crisis," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 104, Hellenic Observatory, LSE.
    9. Kosmidis, Spyros, 2013. "Government constraints and economic voting in Greece," LSE Research Online Documents on Economics 50259, London School of Economics and Political Science, LSE Library.
    10. Elena G. Popkova & Ekaterina A. Popova & Irina P. Denisova & Elena V. Porollo, 2017. "New Approaches to Modernization of Spatial and Sectorial Development of Russian and Greek Regional Economy," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 129-136.
    11. Prodromos Vlamis, 2013. "Greek Fiscal Crisis and Repercussions for the Property Market," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 76, Hellenic Observatory, LSE.
    12. Nicos Christodoulakis, 2014. "The Conflict Trap in the Greek Civil War 1946-1949: An economic approach," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 83, Hellenic Observatory, LSE.
    13. Konstantinos Kougias, 2017. "‘Real’ Flexicurity Worlds in action: Evidence from Denmark and Greece," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 106, Hellenic Observatory, LSE.
    14. Vassilis Arapoglou, Kostas Gounis, 2015. "Poverty and Homelessness in Athens: Governance and the Rise of an Emergency Model of Social Crisis Management," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 90, Hellenic Observatory, LSE.
    15. Cardoso, Guilherme & Simonato, Thiago & Freire, Debora & Domingues, Edson, 2020. "Easing the Effects of Austerity with Reforms: A regional CGE experiment on Brazilian labor productivity," Conference papers 333186, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    16. Helen Caraveli & Anastassios Chardas, 2013. "Rural Development and Local Governance: The case of Greece," ERSA conference papers ersa13p285, European Regional Science Association.
    17. Spyros Kosmidis, 2013. "Government Constraints and Economic Voting in Greece," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 70, Hellenic Observatory, LSE.
    18. Yannis PSYCHARIS & Antonis ROVOLIS & Vassilis TSELIOS & Panayotis PANTAZIS, 2014. "Economic Crisis And Regional Development In Greece," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 39, pages 67-85.
    19. Jacob A. Jordaan & Vassilis Monastiriotis, 2016. "The domestic productivity effects of FDI in Greece: loca(lisa)tion matters!," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 105, Hellenic Observatory, LSE.
    20. Stavros B. Thomadakis, 2015. "Growth, Debt and Sovereignty: Prolegomena to the Greek Crisis," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 91, Hellenic Observatory, LSE.
    21. Tyralis, Hristos & Mamassis, Nikos & Photis, Yorgos N., 2017. "Spatial analysis of the electrical energy demand in Greece," Energy Policy, Elsevier, vol. 102(C), pages 340-352.
    22. Alogoskoufis, George, 2013. "Macroeconomics and politics in the accumulation of Greece’s debt: an econometric investigation, 1975-2009," LSE Research Online Documents on Economics 50257, London School of Economics and Political Science, LSE Library.
    23. Vassilis Monastiriotis & Angelo Martelli, 2013. "Beyond Rising Unemployment: Unemployment Risk, Crisis and Regional Adjustments in Greece," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 80, Hellenic Observatory, LSE.
    24. Rosa VAsilaki, 2016. "Policing the crisis in Greece: The others' side of the story," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 98, Hellenic Observatory, LSE.
    25. Chalari, Athanasia & Sealey, Clive & Webb, Mike, 2016. "A comparison of subjective experiencesand responses to austerity of UK andGreek youth," LSE Research Online Documents on Economics 68585, London School of Economics and Political Science, LSE Library.
    26. Kostas Ifantis, 2013. "The US and Turkey in the fog of Regional Uncertainty," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 73, Hellenic Observatory, LSE.
    27. Kougias, Konstantinos, 2017. "‘Real’ flexicurity worlds in action: evidence from Denmark and Greece," LSE Research Online Documents on Economics 69576, London School of Economics and Political Science, LSE Library.
    28. Konstantinos Gourzis & Stelios Gialis, 2019. "Dismantled Spatial Fixes in the Aftermath of Recession: Capital Switching and Labour Underutilization in the Greek Capital Metropolitan Region," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 43(4), pages 741-759, July.
    29. Stavros Thomadakis, Dimitrios Gounopoulos, Christos Nounis and Michalis Riginos, 2014. "Financial Innovation and Growth: Listings and IPOs from 1880 to World War II in the Athens Stock Exchange," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 86, Hellenic Observatory, LSE.

  32. Delis, Manthos D & Tran, Kien & Tsionas, Efthymios, 2009. "Quantifying and explaining parameter heterogeneity in the capital regulation-bank risk nexus," MPRA Paper 18526, University Library of Munich, Germany.

    Cited by:

    1. Simoens, Mathieu & Vennet, Rudi Vander, 2021. "Bank performance in Europe and the US: A divergence in market-to-book ratios," Finance Research Letters, Elsevier, vol. 40(C).
    2. Hasan, Iftekhar & Siddique, Akhtar & Sun, Xian, 2015. "Monitoring the “invisible” hand of market discipline: Capital adequacy revisited," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 475-492.
    3. Samarasinghe, Ama, 2023. "Stock market liquidity and bank stability," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    4. Chronopoulos, Dimitris K. & Wilson, John O.S. & Yilmaz, Muhammed H., 2023. "Regulatory oversight and bank risk," Journal of Financial Stability, Elsevier, vol. 64(C).
    5. Müller, Carola, 2022. "Capital requirements, market structure, and heterogeneous banks," IWH Discussion Papers 15/2022, Halle Institute for Economic Research (IWH).
    6. Hasan, Iftekhar & Kim, Suk-Joong & Wu, Eliza, 2014. "The effects of ratings-contingent regulation on international bank lending behavior: Evidence from the Basel 2 accord," Bank of Finland Research Discussion Papers 25/2014, Bank of Finland.
    7. Sichong Chen & Muhammad Imran Nazir & Shujahat Haider Hashmi & Ruqia Shaikh, 2019. "Bank Competition, Foreign Bank Entry, and Risk-Taking Behavior: Cross Country Evidence," JRFM, MDPI, vol. 12(3), pages 1-26, June.
    8. Pak, Olga, 2019. "The impact of state ownership and business models on bank stability: Empirical evidence from the Eurasian Economic Union," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 161-175.
    9. Emilios Avgouleas, 2015. "Bank Leverage Ratios and Financial Stability: A Micro- and Macroprudential Perspective," Economics Working Paper Archive wp_849, Levy Economics Institute.
    10. Apergis, Nicholas & Aysan, Ahmet F. & Bakkar, Yassine, 2021. "How do institutional settings condition the effect of macroprudential policies on bank systemic risk?," Economics Letters, Elsevier, vol. 209(C).
    11. Schulte, Markus & Winkler, Adalbert, 2019. "Drivers of solvency risk – Are microfinance institutions different?," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 403-426.
    12. Hasan, Iftekhar & Hassan, Gazi & Kim, Suk-Joong & Wu, Eliza, 2021. "The real impact of ratings-based capital rules on the finance-growth nexus," International Review of Financial Analysis, Elsevier, vol. 73(C).
    13. Ely, Regis A. & Tabak, Benjamin M. & Teixeira, Anderson M., 2021. "The transmission mechanisms of macroprudential policies on bank risk," Economic Modelling, Elsevier, vol. 94(C), pages 598-630.
    14. Yang, Hsin-Feng & Liu, Chih-Liang & Yeutien Chou, Ray, 2020. "Bank diversification and systemic risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 311-326.
    15. Pasiouras, Fotios & Gaganis, Chrysovalantis, 2013. "Regulations and soundness of insurance firms: International evidence," Journal of Business Research, Elsevier, vol. 66(5), pages 632-642.
    16. VanHoose, David, 2011. "Systemic Risk and Macroprudential Bank Regulation: A Critical Appraisal," Journal of Financial Transformation, Capco Institute, vol. 33, pages 45-60.
    17. Athanasoglou, Panayiotis P. & Daniilidis, Ioannis & Delis, Manthos D., 2014. "Bank procyclicality and output: Issues and policies," Journal of Economics and Business, Elsevier, vol. 72(C), pages 58-83.
    18. Ashraf, Badar Nadeem & Zheng, Changjun & Jiang, Chonghui & Qian, Ningyu, 2020. "Capital regulation, deposit insurance and bank risk: International evidence from normal and crisis periods," Research in International Business and Finance, Elsevier, vol. 52(C).
    19. Baselga-Pascual, Laura & Trujillo-Ponce, Antonio & Cardone-Riportella, Clara, 2015. "Factors influencing bank risk in Europe: Evidence from the financial crisis," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 138-166.
    20. Cubillas, Elena & González, Francisco, 2014. "Financial liberalization and bank risk-taking: International evidence," Journal of Financial Stability, Elsevier, vol. 11(C), pages 32-48.
    21. Müller, Carola, 2018. "Basel III capital requirements and heterogeneous banks," IWH Discussion Papers 14/2018, Halle Institute for Economic Research (IWH), revised 2018.
    22. Kaliyev Kalizhan Sagatbekovich & Mira Nurmakhanova, 2023. "Bank industry business modeling in economies of transition," SN Business & Economics, Springer, vol. 3(11), pages 1-19, November.
    23. Kaliyev Kalizhan Sagatbekovich & Mira Nurmakhanova, 2021. "Bank Regulation in the Economies in Transition," SAGE Open, , vol. 11(4), pages 21582440211, November.
    24. Fang, Yiwei & Hasan, Iftekhar & Marton, Katherin, 2014. "Institutional development and bank stability: Evidence from transition countries," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 160-176.
    25. Bermpei, Theodora & Kalyvas, Antonios & Nguyen, Thanh Cong, 2018. "Does institutional quality condition the effect of bank regulations and supervision on bank stability? Evidence from emerging and developing economies," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 255-275.
    26. Ely, Regis Augusto & Tabak, Benjamin Miranda & Teixeira, Anderson Mutter, 2019. "Heterogeneous effects of the implementation of macroprudential policies on bank risk," MPRA Paper 94546, University Library of Munich, Germany.
    27. Raviv, Alon & Sisli-Ciamarra, Elif, 2013. "Executive compensation, risk taking and the state of the economy," Journal of Financial Stability, Elsevier, vol. 9(1), pages 55-68.
    28. Delis, Manthos D. & Hasan, Iftekhar & Tsionas, Efthymios G., 2014. "The risk of financial intermediaries," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 1-12.
    29. Delis, Manthos D. & Hasan, Iftekhar & Tsionas, Efthymios G., 2014. "The risk of financial intermediaries," Bank of Finland Research Discussion Papers 18/2014, Bank of Finland.
    30. Klomp, Jeroen & Haan, Jakob de, 2012. "Banking risk and regulation: Does one size fit all?," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3197-3212.
    31. Panayiotis P. Athanasoglou & Ioannis Daniilidis, 2011. "Procyclicality in the banking industry: causes, consequences and response," Working Papers 139, Bank of Greece.
    32. Badar Nadeem Ashraf & Sidra Arshad & Yuancheng Hu, 2016. "Capital Regulation and Bank Risk-Taking Behavior: Evidence from Pakistan," IJFS, MDPI, vol. 4(3), pages 1-20, August.

  33. Delis, Manthos D & Tsionas, Efthymios, 2009. "The joint estimation of bank-level market power and efficiency," MPRA Paper 14040, University Library of Munich, Germany.

    Cited by:

    1. Morakinyo O. Adetutu & Thomas G. Weyman-Jones, 2019. "Fuel Subsidies Versus Market Power: Is There a Countervailing Second-Best Optimum?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(4), pages 1619-1646, December.
    2. Aiello, Francesco & Bonanno, Graziella, 2014. "On the Sources of Heterogeneity in Banking Efficiency Literature," MPRA Paper 58591, University Library of Munich, Germany.
    3. Dai, Jiawa & Feng, Yuchen & Wang, Ziuqing & Yuan, Guang, 2021. "Does higher market power necessarily reduce efficiency? Evidence from Chinese rice processing enterprises," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(1).
    4. Cyree, Ken B. & Spurlin, W. Paul, 2012. "The effects of big-bank presence on the profit efficiency of small banks in rural markets," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2593-2603.
    5. Dries Maes & Mark Vancauteren & Steven Van Passel, 2019. "Investigating market power in the Belgian porkproduction chain," Review of Agricultural, Food and Environmental Studies, INRA Department of Economics, vol. 100(1-4), pages 93-117.
    6. Yoshiaki Ogura, 2019. "Intensified Lending Competition and Search-for-Yield under Prolonged Monetary Easing," NBER Chapters, in: Financial System, 28th NBER-TCER-CEPR Conference, National Bureau of Economic Research, Inc.
    7. Kutlu, Levent & Nair-Reichert, Usha, 2022. "Executive compensation and the potential for additional efficiency gains: Evidence from the Indian manufacturing sector," Economic Modelling, Elsevier, vol. 114(C).
    8. Turk Ariss, Rima, 2010. "On the implications of market power in banking: Evidence from developing countries," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 765-775, April.
    9. Van Tassel, Eric, 2011. "Information disclosure in credit markets when banks' costs are endogenous," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 490-497, February.
    10. Koetter, Michael & Poghosyan, Tigran, 2009. "The identification of technology regimes in banking: Implications for the market power-fragility nexus," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1413-1422, August.
    11. Tsionas, Efthymios G. & Malikov, Emir & Kumbhakar, Subal C., 2018. "An internally consistent approach to the estimation of market power and cost efficiency with an application to U.S. banking," European Journal of Operational Research, Elsevier, vol. 270(2), pages 747-760.
    12. Colesnic, Olga & Kounetas, Konstantinos & Michael, Polemis, 2020. "Estimating risk efficiency in Middle East banks before and after the crisis: A metafrontier framework," Global Finance Journal, Elsevier, vol. 46(C).
    13. van Leuvensteijn, Michiel & Huljak, Ivan & de Bondt, Gabe, 2024. "A new measure of firm-level competition: an application to euro area banks," Working Paper Series 2925, European Central Bank.
    14. Alves, André Bernardo & Wanke, Peter & Antunes, Jorge & Chen, Zhongfei, 2020. "Endogenous network efficiency, macroeconomy, and competition: Evidence from the Portuguese banking industry," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    15. Orea, Luis & Steinbuks, Jevgenijs, 2012. "Estimating Market Power in Homogenous Product Markets Using a Composed Error Model: Application to the California Electricity Market," Efficiency Series Papers 2012/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    16. Kutlu, Levent & Mamatzakis, Emmanuel & Tsionas, Mike G., 2022. "A principal–agent approach for estimating firm efficiency: Revealing bank managerial behavior," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    17. Rolf Färe & Shawna Grosskopf & Joaquín Maudos & Emili Tortosa-ausina, 2015. "Revisiting the quiet life hypothesis in banking using nonparametric techniques," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(1), pages 159-187, February.
    18. Christian Haddad & Lars Hornuf, 2021. "The Impact of Fintech Startups on Financial Institutions' Performance and Default Risk," CESifo Working Paper Series 9050, CESifo.
    19. Chen, Sheng-Hung & Liao, Chien-Chang, 2011. "Are foreign banks more profitable than domestic banks? Home- and host-country effects of banking market structure, governance, and supervision," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 819-839, April.
    20. Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Size, efficiency, market power, and economies of scale in the African banking sector," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-22, December.
    21. Issa, Samah & Girardone, Claudia & Snaith, Stuart, 2022. "Banking competition, convergence and growth across macro-regions of MENA," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 534-549.
    22. Asongu, Simplice & Odhiambo, Nicholas, 2018. "Testing the Quiet Life Hypothesis in the African Banking Industry," MPRA Paper 88525, University Library of Munich, Germany.
    23. Pilar B. Álvarez-Franco & Diego A. Restrepo-Tobón, 2016. "Managerial efficiency and failure of U.S. commercial banks during the 2007-2009 financial crisis: was this time different?," Revista Ecos de Economía, Universidad EAFIT, vol. 20(43), pages 4-22, December.
    24. Zouaoui, Haykel & Zoghlami, Feten, 2020. "On the income diversification and bank market power nexus in the MENA countries: Evidence from a GMM panel-VAR approach," Research in International Business and Finance, Elsevier, vol. 52(C).
    25. Timothy King & Jonathan Williams, 2013. "Bank Efficiency and Executive Compensation," Working Papers 13009, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    26. David Adeabah & Charles Andoh, 2020. "Cost efficiency and welfare performance of banks: evidence from an emerging economy," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 16(5), pages 549-574, July.
    27. A. Hackethal & M. Koetter & O. Vins, 2012. "Do government owned banks trade market power for slack?," Applied Economics, Taylor & Francis Journals, vol. 44(33), pages 4275-4290, November.
    28. Tabak, Benjamin M. & Gomes, Guilherme M.R. & da Silva Medeiros, Maurício, 2015. "The impact of market power at bank level in risk-taking: The Brazilian case," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 154-165.
    29. Baldwin, Kenneth & Alhalboni, Maryam, 2023. "A value-based measure of market power for the participatory deposits of Islamic banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 87(C).
    30. Williams, Jonathan, 2012. "Efficiency and market power in Latin American banking," Journal of Financial Stability, Elsevier, vol. 8(4), pages 263-276.
    31. Gai, Prasanna & Kemp, Malcolm & Sánchez Serrano, Antonio & Schnabel, Isabel, 2019. "Regulatory complexity and the quest for robust regulation," Report of the Advisory Scientific Committee 8, European Systemic Risk Board.
    32. Mamonov, Mikhail, 2015. "Microeconomic modification of an industry-wide Boone indicator: Market power of Russian banks revisited," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 18-44.
    33. Bolt, Wilko & Humphrey, David, 2010. "Bank competition efficiency in Europe: A frontier approach," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1808-1817, August.
    34. Huang, Tai-Hsin & Hu, Chu-Nan & Chang, Bao-Guang, 2018. "Competition, efficiency, and innovation in Taiwan’s banking industry — An application of copula methods," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 362-375.
    35. Michael L. Polemis & Thanasis Stengos & Nickolaos G. Tzeremes, 2020. "Modeling the effect of competition on US manufacturing sectors’ efficiency: an order-m frontier analysis," Journal of Productivity Analysis, Springer, vol. 54(1), pages 27-41, August.
    36. Zhang, Jianhua & Jiang, Chunxia & Qu, Baozhi & Wang, Peng, 2013. "Market concentration, risk-taking, and bank performance: Evidence from emerging economies," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 149-157.
    37. Emmanuel Tsiritakis, 2017. "Competition and Efficiency in EU Banking," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 67(2), pages 3-25, April-Jun.
    38. Nicholas Apergis & Michael L. Polemis, 2016. "Competition and efficiency in the MENA banking region: a non-structural DEA approach," Applied Economics, Taylor & Francis Journals, vol. 48(54), pages 5276-5291, November.
    39. Peter Nderitu GITHAIGA, 2019. "Income Diversification, Market Power and Performance," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 3(2), pages 1-21.
    40. Nguyen, My & Skully, Michael & Perera, Shrimal, 2012. "Bank market power and revenue diversification: Evidence from selected ASEAN countries," Journal of Asian Economics, Elsevier, vol. 23(6), pages 688-700.
    41. T.V.S. Ramamohan Rao, 2012. "Firm Specific Monopoly Power in Differentiated Oligopoly," Journal of Quantitative Economics, The Indian Econometric Society, vol. 10(1), pages 85-97, January.
    42. Tai-Hsin Huang & Nan-Hung Liu & Subal C. Kumbhakar, 2018. "Joint estimation of the Lerner index and cost efficiency using copula methods," Empirical Economics, Springer, vol. 54(2), pages 799-822, March.
    43. Mamatzakis, E, 2013. "Does weather affect US bank loan efficiency?," MPRA Paper 51616, University Library of Munich, Germany.
    44. Delis, Manthos D. & Tran, Kien C. & Tsionas, Efthymios G., 2012. "Quantifying and explaining parameter heterogeneity in the capital regulation-bank risk nexus," Journal of Financial Stability, Elsevier, vol. 8(2), pages 57-68.
    45. Alin Marius Andrieş & Bogdan Căpraru, 2012. "Competition and efficiency in EU27 banking systems," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 12(1), pages 41-60, July.
    46. Francesco Aiello & Graziella Bonanno, 2016. "Efficiency in banking: a meta-regression analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 112-149, January.
    47. Biao Mi & Liang Han, 2020. "Banking market concentration and syndicated loan prices," Review of Quantitative Finance and Accounting, Springer, vol. 54(1), pages 1-28, January.
    48. Căpraru, Bogdan & Ihnatov, Iulian & Pintilie, Nicoleta-Livia, 2020. "Competition and diversification in the European Banking Sector," Research in International Business and Finance, Elsevier, vol. 51(C).
    49. Candida Ferreira, 2023. "The Influence of Bank Performance, Market Condition and Economic Growth on Non-Performing Loansa," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 9(1), pages 77-98, June.
    50. Dries Maes & Mark Vancauteren & Steven Passel, 2019. "Investigating market power in the Belgian pork production chain," Review of Agricultural, Food and Environmental Studies, Springer, vol. 100(1), pages 93-117, December.
    51. Levent Kutlu & Ran Wang, 2018. "Estimation of cost efficiency without cost data," Journal of Productivity Analysis, Springer, vol. 49(2), pages 137-151, June.
    52. El Moussawi, Chawki & Mansour, Rana, 2022. "Competition, cost efficiency and stability of banks in the MENA region," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 143-170.
    53. George Assaf, A. & Matousek, Roman & Tsionas, Efthymios G., 2013. "Turkish bank efficiency: Bayesian estimation with undesirable outputs," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 506-517.
    54. Mamonov, M., 2020. "Price interactions in the credit market and banks instability over the crisis and non-crisis periods in the Russian economy," Journal of the New Economic Association, New Economic Association, vol. 45(1), pages 65-110.
    55. Vernikov, Andrei & Mamonov, Mikhail, 2018. "Modelling technical efficiency of firms under one-step and two-step approaches (the case of commercial banks)," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 49, pages 67-90.
    56. Kuessi, Richard & Nantob, N'Yilimon & Aguey, Segnon & Couchoro, Mawuli Kodjovi, 2023. "Competition and banking efficiency in the WAEMU: The role of multinationals and institutions," International Economics, Elsevier, vol. 175(C), pages 45-62.
    57. Cipollini, Andrea & Fiordelisi, Franco, 2012. "Economic value, competition and financial distress in the European banking system," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3101-3109.
    58. Sami Mensi & Widede Labidi, 2015. "The Effect of Diversification of Banking Products on the Relationship between Market Power and Financial Stability," American Journal of Economics and Business Administration, Science Publications, vol. 7(4), pages 185-193, December.
    59. Phan, Hanh Thi My & Daly, Kevin, 2020. "Market concentration and bank competition in emerging asian countries over pre and post the 2008 global financial crisis," Research in International Business and Finance, Elsevier, vol. 51(C).
    60. Nguyen, My & Skully, Michael & Perera, Shrimal, 2012. "Market power, revenue diversification and bank stability: Evidence from selected South Asian countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(4), pages 897-912.
    61. Rizkiah, Siti K. & Disli, Mustafa & Salim, Kinan & Razak, Lutfi A., 2021. "Switching costs and bank competition: Evidence from dual banking economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    62. Andrieş, Alin Marius & Căpraru, Bogdan, 2014. "The nexus between competition and efficiency: The European banking industries experience," International Business Review, Elsevier, vol. 23(3), pages 566-579.
    63. Bayeh, Antonio & Bitar, Mohammad & Burlacu, Radu & Walker, Thomas, 2021. "Competition, securitization, and efficiency in US banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 553-576.
    64. Duc-Nguyen, Nguyen & Mishra, Anil V. & Daly, Kevin, 2023. "Variation in the competition − Efficiency nexus: Evidence from emerging markets," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 401-420.
    65. Maes, Dries & Vancauteren, Mark & Van Passel, Steven, 2019. "Investigating market power in the Belgian pork production chain," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 100(1-4), November.
    66. Cai, Khoa & Le, Minh & Vo, Hong, 2019. "The cost of being safer in banking: Market power loss," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 116-130.
    67. Thi My Phan, Hanh & Daly, Kevin & Akhter, Selim, 2016. "Bank efficiency in emerging Asian countries," Research in International Business and Finance, Elsevier, vol. 38(C), pages 517-530.
    68. Chan, Sok-Gee & Koh, Eric H.Y. & Zainir, Fauzi & Yong, Chen-Chen, 2015. "Market structure, institutional framework and bank efficiency in ASEAN 5," Journal of Economics and Business, Elsevier, vol. 82(C), pages 84-112.
    69. Kutlu, Levent & Sickles, Robin C., 2012. "Estimation of market power in the presence of firm level inefficiencies," Journal of Econometrics, Elsevier, vol. 168(1), pages 141-155.
    70. Maes, Dries & Vancauteren, Mark & Van Passel, Steven, 2016. "Investigating market power in the Belgian pork production chain," 149th Seminar, October 27-28, 2016, Rennes, France 245114, European Association of Agricultural Economists.
    71. Laowattanabhongse, Sanhapas & Sukcharoensin, Sorasart, 2017. "The Linkage between Bank Competition and Stability: New International Evidence," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 24(2), November.
    72. Delis, Manthos D., 2012. "Bank competition, financial reform, and institutions: The importance of being developed," Journal of Development Economics, Elsevier, vol. 97(2), pages 450-465.
    73. Huang, Tai-Hsin & Chiang, Dien-Lin & Chao, Shih-Wei, 2017. "A new approach to jointly estimating the Lerner index and cost efficiency for multi-output banks under a stochastic meta-frontier framework," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 212-226.
    74. Kozak Sylwester & Wierzbowska Agata, 2021. "Banking Market Concentration and Bank Efficiency. Evidence from Southern, Eastern and Central Europe," South East European Journal of Economics and Business, Sciendo, vol. 16(1), pages 38-52, June.
    75. Samantas, Ioannis, 2013. "Income-specific estimates of competition in European banking," MPRA Paper 51098, University Library of Munich, Germany.

  34. Konstantinos Angelopoulos & Apostolis Philippopoulos & Efthymios Tsionas, 2007. "Does public sector efficiency matter? Revisiting the relation between fiscal size and economic growth in a world sample," Working Papers 2007_30, Business School - Economics, University of Glasgow.

    Cited by:

    1. Tadeusz A. Grzeszczyk & Jacek Pełszynski, 2020. "Towards a conceptualization of a social efficiency notion in management sciences," Ekonomia i Prawo, Uniwersytet Mikolaja Kopernika, vol. 19(1), pages 33-46, March.
    2. Lavinia Mustea & Lavinia Daniela Mihit & Oana-Ramona Lobont, 2021. "How Should we Measure Public Sector Performance?TITLU," Postmodern Openings, Editura Lumen, Department of Economics, vol. 12(1Sup1), pages 71-89, April.
    3. Joshua Hall & Robert Lawson, 2008. "Theory and evidence on economic freedom and economic growth: A comment," Economics Bulletin, AccessEcon, vol. 15(18), pages 1-6.
    4. F. Heylen & A. Hoebeeck & T. Buyse, 2011. "Fiscal consolidation, institutions and institutional reform: a multivariate analysis of public debt dynamics," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/763, Ghent University, Faculty of Economics and Business Administration.
    5. Kimaro, Edmund Lawrence & Keong, Choong Chee & Sea, Lau Lin, 2017. "Government Expenditure, Efficiency and Economic Growth: A Panel Analysis of Sub Saharan African Low Income Countries," African Journal of Economic Review, African Journal of Economic Review, vol. 5(2), July.
    6. Emmanuel Dodzi K. Havi & Patrick Enu, 2014. "The Effect of Fiscal Policy and Monetary Policy on Ghana’s Economic Growth: Which Policy Is More Potent?," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 3(2), pages 61-75.
    7. Emery, Thomas & Mélon, Lela & Spruk, Rok, 2023. "Does e-procurement matter for economic growth? Subnational evidence from Australia," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 318-334.
    8. Dimitris Hatzinikolaou & Pantelis Kammas, 2010. "Firing Restrictions, Government Growth, Immigration, and the NAIRU: Evidence from Fifteen OECD Countries," LABOUR, CEIS, vol. 24(4), pages 441-455, December.
    9. Halkos, George & Paizanos, Epameinondas, 2015. "Fiscal policy and economic performance: A review of the theoretical and empirical literature," MPRA Paper 67737, University Library of Munich, Germany.
    10. Christl, Michael & Köppl-Turyna, Monika & Kucsera, Dénes, 2018. "Public sector efficiency in Europe: Long-run trends, recent developments and determinants," Working Papers 14, Agenda Austria.
    11. Long Qian & Yunjie Zhou & Ying Sun, 2023. "Regional Differences, Distribution Dynamics, and Convergence of the Green Total Factor Productivity of China’s Cities under the Dual Carbon Targets," Sustainability, MDPI, vol. 15(17), pages 1-26, August.
    12. Lindgren, Petter Y. & Presterud, Ane Ofstad, 2021. "Expanding the Norwegian Armed Forces in the Time of Corona: Benefit-Cost Analysis in the Context of High Unemployment Rate," MPRA Paper 106405, University Library of Munich, Germany.
    13. Falguni Pattanaik & Narayan Nayak, 2014. "Economic freedom and economic growth in India: What is the empirical relationship?," Economic Change and Restructuring, Springer, vol. 47(4), pages 275-298, November.
    14. Alessandra Cepparulo & Gilles Mourre, 2020. "How and How Much? The Growth-Friendliness of Public Spending through the Lens," European Economy - Discussion Papers 132, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    15. Yamamura, Eiji, 2010. "Public policy, trust and growth: disclosure of government information in Japan," MPRA Paper 27703, University Library of Munich, Germany.
    16. Magne Mogstad & Rolf Aaberge & Lasse Eika & Audun Langørgen, 2018. "Local governments, in-kind transfers, and economic inequality," Discussion Papers 888, Statistics Norway, Research Department.
    17. Utpal Kumar De & Christopher P. P. Shafuda, 2023. "Performance and Efficiency of Public Sector in Independent Namibia," South Asian Journal of Macroeconomics and Public Finance, , vol. 12(2), pages 160-185, December.
    18. Sok-Gee Chan Mohd & Zaini Abd Karim, 2012. "Public Spending Efficiency And Political And Economic Factors: Evidence From Selected East Asian Countries," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 57(193), pages 7-24, April- Ju.
    19. Nistor Cristina Silvia & Ștefănescu Cristina Alexandrina & Crișan Andrei-Răzvan, 2017. "Performance Through Efficiency in the Public Healthcare System – A DEA Approach in an Emergent Country," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 62(1), pages 31-49, April.
    20. Konstantinos Angelopoulos & George Economides, 2008. "Fiscal policy, rent seeking, and growth under electoral uncertainty: theory and evidence from the OECD," Canadian Journal of Economics, Canadian Economics Association, vol. 41(4), pages 1375-1405, November.
    21. Asatryan, Zareh & Heinemann, Friedrich & Pitlik, Hans, 2015. "Reforming the public administration: The role of crisis and the power of bureaucracy," ZEW Discussion Papers 15-049, ZEW - Leibniz Centre for European Economic Research.
    22. Churchill, Sefa Awaworyi & Ugur, Mehmet & Yew, Siew Ling, 2016. "Does government size affect per-capita income growth? A Hierarchical meta-regression analysis," Greenwich Papers in Political Economy 16016, University of Greenwich, Greenwich Political Economy Research Centre.
    23. Yamamura, Eiji, 2010. "Government size and trust," MPRA Paper 24985, University Library of Munich, Germany.
    24. Asem Alshami, 2016. "Theoretical Evidences Regarding Methodologies Of Calculating Efficiency Of Public Sector," Management Strategies Journal, Constantin Brancoveanu University, vol. 34(4), pages 88-94.
    25. Mª Teresa Balaguer-Coll & Isabel Narbón-Perpiñá & Jesús Peiró-Palomino & Emili Tortosa-Ausina, 2020. "Quality of government and economic growth at the municipal level: Evidence from Spain," Working Papers 2020/04, Economics Department, Universitat Jaume I, Castellón (Spain).
    26. Raffaela Giordano & Mr. Sergi Lanau & Pietro Tommasino & Petia Topalova, 2015. "Does Public Sector Inefficiency Constrain Firm Productivity: Evidence from Italian Provinces," IMF Working Papers 2015/168, International Monetary Fund.
    27. Agasisti, Tommaso & Barra,Cristian & Zotti, Roberto, 2020. "Public Finance, Government Spending and Economic Growth: The Case of Local Governments in Italy," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202022, University of Turin.
    28. Lucas Menescal & José Alves, 2023. "Tax Structure and Public Sector Efficiency: New Evidence for Developing Countries," CESifo Working Paper Series 10726, CESifo.
    29. Yamamura, Eiji, 2009. "The influence of government size on economic growth and life satisfaction. A case study from Japan," MPRA Paper 17879, University Library of Munich, Germany.
    30. Antonis Adam & Manthos Delis & Pantelis Kammas, 2011. "Public sector efficiency: leveling the playing field between OECD countries," Public Choice, Springer, vol. 146(1), pages 163-183, January.
    31. Hans Pitlik, 2017. "Österreich 2025 – Verwaltungsreform zwischen Effizienzstreben und Reformwiderständen. Ein Überblick," WIFO Monatsberichte (monthly reports), WIFO, vol. 90(3), pages 205-217, March.
    32. Antonis Adam & Manthos D. Delis & Pantelis Kammas, 2008. "Fiscal Decentralization and Public Sector Efficiency: Evidence from OECD Countries," CESifo Working Paper Series 2364, CESifo.
    33. Jorge Martinez-Vazquez & Blanca Moreno-Dodson & VIoleta Vulovic, 2012. "The Impact of Tax and Expenditure Policies on Income Distribution: Evidence from a Large Panel of Countries," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1225, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    34. Heylen, Freddy & Hoebeeck, Annelies & Buyse, Tim, 2013. "Government efficiency, institutions, and the effects of fiscal consolidation on public debt," European Journal of Political Economy, Elsevier, vol. 31(C), pages 40-59.
    35. Daniel Oto Peralías & Daniel Oto-Peralías & Diego Romero-Ávila, 2012. "Tracing the Link between Government Size and Growth: The Role of Public Sector Quality," EcoMod2012 4015, EcoMod.
    36. Trofimov, Ivan D., 2020. "The optimum size of public education spending: panel data evidence," MPRA Paper 106847, University Library of Munich, Germany.
    37. Papaioannou, Sotiris, 2016. "Public investment multipliers in EU countries: Does the efficiency of public sector matter?," MPRA Paper 70332, University Library of Munich, Germany.
    38. Emmanuel Apergis & Nicholas Apergis, 2019. "“Sakura” has not grown in a day: infrastructure investment and economic growth in Japan under different tax regimes," Empirical Economics, Springer, vol. 57(2), pages 541-567, August.
    39. Dobdinga Fonchamnyo & Molem Sama, 2016. "Determinants of public spending efficiency in education and health: evidence from selected CEMAC countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(1), pages 199-210, January.
    40. Gisela Di Meglio & Metka Stare & Andrés Maroto & Luis Rubalcaba, 2015. "Public Services Performance: An Extended Framework and Empirical Assessment across the Enlarged EU," Environment and Planning C, , vol. 33(2), pages 321-341, April.
    41. Francisco Parra‐Luna, 2013. "On the ‘Social Sin’ of Political Analysis: A Critical Quantitative Approach from a Systemic Perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(6), pages 661-676, November.
    42. Gerdie Everaert & Freddy Heylen & Ruben Schoonackers, 2014. "Fiscal policy and TFP in the OECD : Measuring direct and indirect effects," Working Paper Research 274, National Bank of Belgium.
    43. George Economides & Apostolis Philippopoulos & Petros Varthalitis, 2015. "Incentives to Work and Performance in the Public Sector," CESifo Working Paper Series 5193, CESifo.
    44. Riadh Brini & Hatem Jemmali, 2015. "Public Spending Efficiency, Governance, and Political and Economic Policies: is there a Substantial Casual Relation? Evidence from Selected MENA Countries," Working Papers 947, Economic Research Forum, revised Sep 2015.
    45. Daniel Oto-Peralías & Diego Romero-Ávila, 2013. "Tracing the Link between Government Size and Growth: The Role of Public Sector Quality," Kyklos, Wiley Blackwell, vol. 66(2), pages 229-255, May.

  35. Sophocles N. Brissimis & Matthaios D. Delis & Efthymios G. Tsionas, 2006. "Technical and Allocative Efficiency in European Banking," Working Papers 46, Bank of Greece.

    Cited by:

    1. Kutlu, Levent & Sickles, Robin & Tsionas, Mike G., 2019. "Heterogeneous Decision-Making and Market Power," Working Papers 19-008, Rice University, Department of Economics.
    2. Levent Kutlu, 2022. "Spatial stochastic frontier model with endogenous weighting matrix," Empirical Economics, Springer, vol. 63(4), pages 1947-1968, October.
    3. Tsionas, Efthymios G. & Assaf, A. George & Matousek, Roman, 2015. "Dynamic technical and allocative efficiencies in European banking," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 130-139.
    4. Coert Erasmus, 2014. "An Empirical Study of Bank Efficiency in South Africa Using the Standard and Alternative Approaches to Data Envelopment Analysis (DEA)," Journal of Economics and Behavioral Studies, AMH International, vol. 6(4), pages 310-317.
    5. Tsionas, Mike G., 2016. "Parameters measuring bank risk and their estimation," European Journal of Operational Research, Elsevier, vol. 250(1), pages 291-304.
    6. Patricia Tecles & Benjamin M. Tabak, 2010. "Determinants of Bank Efficiency: the Case of Brazil," Working Papers Series 210, Central Bank of Brazil, Research Department.
    7. Kutlu, Levent & Mamatzakis, Emmanuel & Tsionas, Mike G., 2022. "A principal–agent approach for estimating firm efficiency: Revealing bank managerial behavior," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    8. Delis, Manthos D. & Iosifidi, Maria & Tsionas, Mike, 2020. "Management estimation in banking," European Journal of Operational Research, Elsevier, vol. 284(1), pages 355-372.
    9. Anagnostopoulos, Yiannis & Husa, Kjetil A. & Noikokyris, Emmanouil, 2022. "A three-phase comparative efficiency analysis of US and EU banks," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 113-127.
    10. George M. von Furstenberg, 2007. "Aspects, Models and Measures for Assessing the Competitiveness of International Financial Services in a Particular Location," Working Papers 182007, Hong Kong Institute for Monetary Research.
    11. Te-Kuang Chou & Agung Dharmawan Buchdadi, 2016. "Bank Performance and Its Underlying Factors: A Study of Rural Banks in Indonesia," Accounting and Finance Research, Sciedu Press, vol. 5(3), pages 1-55, August.
    12. Randrianarisoa, Laingo M. & Bolduc, Denis & Choo, Yap Yin & Oum, Tae H. & Yan, Jia, 2015. "Effects of Corruption on Efficiency of the European Airports," Working Papers 198161, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    13. Levent Kutlu & Robin C. Sickles & Mike G. Tsionas & Emmanuel Mamatzakis, 2022. "Heterogeneous decision-making and market power: an application to Eurozone banks," Empirical Economics, Springer, vol. 63(6), pages 3061-3092, December.
    14. Maria-Eleni K. Agoraki & Manthos D. Delis & Panagiotis K. Staikouras, 2010. "The effect of board size and composition on bank efficiency," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(4), pages 357-386.
    15. Wanke, Peter & Maredza, Andrew & Gupta, Rangan, 2017. "Merger and acquisitions in South African banking: A network DEA model," Research in International Business and Finance, Elsevier, vol. 41(C), pages 362-376.
    16. Horst Gischer & Toni Richter, 2014. "Produktivitätsmessung von Banken: die Cost Income Ratio – ein belastbares Performancemaß?," FEMM Working Papers 140008, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    17. Fernández, Xosé Luís & Paz-Saavedra, David & Coto-Millán, Pablo, 2020. "The impact of Brexit on bank efficiency: Evidence from UK and Ireland," Finance Research Letters, Elsevier, vol. 36(C).
    18. Huang, Wei & Eling, Martin, 2013. "An efficiency comparison of the non-life insurance industry in the BRIC countries," European Journal of Operational Research, Elsevier, vol. 226(3), pages 577-591.
    19. Mihăiță-Cosmin M. POPOVICI, 2014. "Impact Of Financial Crisis On Banking Efficiency: Evidence From Romania," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 3, pages 451-456, April.
    20. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2020. "A spatial stochastic frontier model with endogenous frontier and environmental variables," European Journal of Operational Research, Elsevier, vol. 286(1), pages 389-399.
    21. Taha Zaghdoudi & Samir Maktouf, 2017. "Monetary Policy and Bank Excessive Risk-Taking," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 13(2), pages 157-173, April.
    22. Biswa Swarup Misra & Paolo Coccorese, 2022. "Market power, efficiency and stability of Indian banks," Economic Change and Restructuring, Springer, vol. 55(4), pages 2263-2292, November.
    23. Wanke, Peter & Barros, Carlos P. & Faria, João R., 2015. "Financial distress drivers in Brazilian banks: A dynamic slacks approach," European Journal of Operational Research, Elsevier, vol. 240(1), pages 258-268.
    24. Kumbhakar, Subal C., 2011. "Estimation of production technology when the objective is to maximize return to the outlay," European Journal of Operational Research, Elsevier, vol. 208(2), pages 170-176, January.
    25. Quaranta, Anna Grazia & Raffoni, Anna & Visani, Franco, 2018. "A multidimensional approach to measuring bank branch efficiency," European Journal of Operational Research, Elsevier, vol. 266(2), pages 746-760.
    26. Delis, Manthos D & Koutsomanoli-Filippaki, Anastasia & Staikouras, Christos & Gerogiannaki, Katerina, 2008. "Evaluating cost and profit efficiency: a comparison of parametric and nonparametric methodologies," MPRA Paper 14039, University Library of Munich, Germany.
    27. George Furstenberg, 2008. "Assessing the Competitiveness of International Financial Services in Particular Locations: A Survey of Methods and Perspectives," Open Economies Review, Springer, vol. 19(4), pages 539-556, September.
    28. Wanke, Peter & Tsionas, Mike G. & Chen, Zhongfei & Moreira Antunes, Jorge Junio, 2020. "Dynamic network DEA and SFA models for accounting and financial indicators with an analysis of super-efficiency in stochastic frontiers: An efficiency comparison in OECD banking," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 456-468.
    29. Francisco Javier Sáez-Fernández & Andrés J. Picazo-Tadeo & Mercedes Beltrán-Esteve & Caroline Elliott, 2015. "Assessing the performance of the Latin American and Caribbean banking industry: Are domestic and foreign banks so different?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1006976-100, December.
    30. Alexandros E. Milionis, 2006. "An Alternative Definition of Market Efficiency and some Comments on its Empirical Testing," Working Papers 50, Bank of Greece.
    31. Assaf, A. George & Gillen, David & Tsionas, Efthymios G., 2014. "Understanding relative efficiency among airports: A general dynamic model for distinguishing technical and allocative efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 18-34.
    32. Hidemichi Fujii & Shunsuke Managi & Roman Matousek & Aarti Rughoo, 2018. "Bank efficiency, productivity, and convergence in EU countries: a weighted Russell directional distance model," The European Journal of Finance, Taylor & Francis Journals, vol. 24(2), pages 135-156, January.
    33. Lai, Hung-pin & Kumbhakar, Subal C., 2019. "Technical and allocative efficiency in a panel stochastic production frontier system model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 255-265.
    34. Georges Assaf, A. & Gillen, David, 2012. "Measuring the joint impact of governance form and economic regulation on airport efficiency," European Journal of Operational Research, Elsevier, vol. 220(1), pages 187-198.
    35. Degl'Innocenti, Marta & Kourtzidis, Stavros A. & Sevic, Zeljko & Tzeremes, Nickolaos G., 2017. "Bank productivity growth and convergence in the European Union during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 184-199.
    36. Subal Kumbhakar & Frank Asche & Ragnar Tveteras, 2013. "Estimation and decomposition of inefficiency when producers maximize return to the outlay: an application to Norwegian fishing trawlers," Journal of Productivity Analysis, Springer, vol. 40(3), pages 307-321, December.
    37. Shabbir Ahmad & Abid A. Burki, 2016. "Banking deregulation and allocative efficiency in Pakistan," Applied Economics, Taylor & Francis Journals, vol. 48(13), pages 1182-1196, March.
    38. Pavlos Almanidis & Mustafa U. Karakaplan & Levent Kutlu, 2019. "A dynamic stochastic frontier model with threshold effects: U.S. bank size and efficiency," Journal of Productivity Analysis, Springer, vol. 52(1), pages 69-84, December.
    39. Luintel, Kul B. & Selim, Sheikh & Bajracharya, Pushkar, 2017. "Liberalization, bankers’ motivation and productivity: A simple model with an application," Economic Modelling, Elsevier, vol. 61(C), pages 102-112.
    40. Iveta Palečková, 2015. "Banking Efficiency in Visegrad Countries: A Dynamic Data Envelopment Analysis," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(6), pages 2085-2091.
    41. Matousek, Roman & Rughoo, Aarti & Sarantis, Nicholas & George Assaf, A., 2015. "Bank performance and convergence during the financial crisis: Evidence from the ‘old’ European Union and Eurozone," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 208-216.
    42. Iveta Palečková, 2018. "Differences in Efficiency between Banks in Financial Conglomerates and other Banks in the Banking Sectors in Visegrad Countries," Working Papers 0052, Silesian University, School of Business Administration.
    43. Gavilan, José M. & Ortega, Francisco J., 2020. "Productive efficiency analysis of quantitative economics journals through Stochastic Frontier Analysis using panel data || Análisis de eficiencia productiva de revistas de economía cuantitativa a trav," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 30(1), pages 297-311, December.
    44. Fadzlan Sufian, 2016. "Determinants of Efficiency in the Malaysian Banking Sector: Evidence from Semi-parametric Data Envelopment Analysis Method," Studies in Microeconomics, , vol. 4(2), pages 151-172, December.
    45. Peter Wanke & Carlos Barros & Nkanga Pedro João Macanda, 2016. "Predicting Efficiency in Angolan Banks: A Two-Stage TOPSIS and Neural Networks Approach," South African Journal of Economics, Economic Society of South Africa, vol. 84(3), pages 461-483, September.

  36. Louri, Helen & Peppas, Costas & Tsionas, Efthymios, 2006. "Foreign presence, technical efficiency and firm survival in Greece: a simultaneous equation model with latent variables approach," MPRA Paper 29274, University Library of Munich, Germany.

    Cited by:

    1. Ari Kokko & Tran Toan Thang, 2014. "Foreign Direct Investment and the Survival of Domestic Private Firms in Viet Nam," Asian Development Review, MIT Press, vol. 31(1), pages 53-91, March.
    2. Constantina Backinezos & Stelios Panagiotou & Athina Rentifi, 2019. "Greek export performance: a constant market share analysis," Economic Bulletin, Bank of Greece, issue 50, pages 45-65, December.
    3. Christos Genakos & Ioannis Kaplanis & Maria Theano Tagaraki & Aggelos Tsakanikas, 2023. "Firm Resilience and Growth during the Economics Crisis: lessons from the Greek depression," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 186, Hellenic Observatory, LSE.
    4. Nikos Vettas & Evangelia Velavanioti & Konstantinos Peppas & Michail Vasileiadis, 2019. "The evolution of new firm's characteristics in Greece before and during the economic adjustment programmes," Economic Bulletin, Bank of Greece, issue 50, pages 67-109, December.
    5. Heather D. Gibson & Georgia Pavlou & Christina Tsochatzi & Melina Vasardani, 2019. "Greece's integration into global value chains," Economic Bulletin, Bank of Greece, issue 50, pages 7-44, December.
    6. Christos, Genakos & Kaplanis, Ioannis & Tagaraki, Maria Theano & Tsakanikas, Aggelos, 2023. "Firm resilience and growth during the economics crisis: lessons from the Greek depression," LSE Research Online Documents on Economics 119705, London School of Economics and Political Science, LSE Library.
    7. Faidon Kalfaoglou, 2019. "Cryptoassets: potential implications for financial stability," Economic Bulletin, Bank of Greece, issue 50, pages 111-134, December.

  37. Tsionas, Efthymios & Kumbhakar, Subal, 2006. "Estimation of Technical and Allocative Inefficiencies in a Cost System: An Exact Maximum Likelihood Approach," MPRA Paper 20173, University Library of Munich, Germany.

    Cited by:

    1. Jean-Philippe Boussemart & Herv頌eleu & Vivian Valdmanis, 2015. "A two-stage translog marginal cost pricing approach for Floridian hospital outputs," Applied Economics, Taylor & Francis Journals, vol. 47(38), pages 4116-4127, August.
    2. Kumbhakar, Subal C. & Tsionas, Mike G., 2020. "On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations," European Journal of Operational Research, Elsevier, vol. 287(2), pages 762-775.
    3. Mamatzakis, Emmanuel & Tsionas, Mike G. & Kumbhakar, Subal C. & Koutsomanoli-Filippaki, Anastasia, 2015. "Does labour regulation affect technical and allocative efficiency? Evidence from the banking industry," Journal of Banking & Finance, Elsevier, vol. 61(S1), pages 84-98.
    4. Wang, Huaiyu & Bin, Bing & Pede, Valerien O., 2023. "Adoption of ratoon rice and its impact on technical efficiency of rice farming in China," 2023 Annual Meeting, July 23-25, Washington D.C. 335541, Agricultural and Applied Economics Association.
    5. Xiaoheng Zhang & Xiaohua Yu & Xu Tian & Xianhui Geng & Yingheng Zhou, 2019. "Farm size, inefficiency, and rice production cost in China," Journal of Productivity Analysis, Springer, vol. 52(1), pages 57-68, December.
    6. Ouyang, Xiaoling & Wei, Xiaoyun & Sun, Chuanwang & Du, Gang, 2018. "Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China," Energy Policy, Elsevier, vol. 118(C), pages 573-583.
    7. Dibyendu Maiti & Chiranjib Neogi, 2020. "Endogeneity Corrected Stochastic Frontier with Market Imperfections," Working papers 313, Centre for Development Economics, Delhi School of Economics.

  38. Karagiannis, Giannis & Tsionas, Efthimios & Tzouvelekas, Vangelis, 2005. "Efficiency in Damage Control Inputs: A Stochastic Production Frontier Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24642, European Association of Agricultural Economists.

    Cited by:

    1. Midingoyi, Soul-Kifouly & Affognon, Hippolyte & Macharia, Ibrahim & Leru, Bruno, 2021. "Productivity Effects of Biological Control of Maize Stemborer Pests in Kenya: Damage Control Function Approach," 2021 Conference, August 17-31, 2021, Virtual 315385, International Association of Agricultural Economists.

  39. Kumbhakar, Subal & Tsionas, Efthymios, 2003. "Recent Developments in Stochastic Frontier Modeling," Efficiency Series Papers 2003/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Jiro Nemoto & Mika Goto, 2006. "Measurement of technical and allocative efficiencies using a CES cost frontier: a benchmarking study of Japanese transmission-distribution electricity," Empirical Economics, Springer, vol. 31(1), pages 31-48, March.

  40. Bitros, G.C. & Tsionas, E.G., 2001. "A Consistent Approach to Cost Efficiency Measurement," Athens University of Economics and Business 124, Athens University of Economics and Business, Department of International and European Economic Studies.

    Cited by:

    1. Johannes Sauer & Klaus Frohberg & Henrich Hockmann, 2006. "Stochastic efficiency measurement: The curse of theoretical consistency," Journal of Applied Economics, Universidad del CEMA, vol. 9, pages 139-166, May.
    2. Vergés, Joaquim, 2014. "Evaluación de la eficiencia comparativa de empresas y entidades productivas: Indicadores y técnicas de análisis [Evaluating comparative efficiency of companies and productive entities: Measures and," MPRA Paper 58329, University Library of Munich, Germany.

  41. Tsionas, E.G., 2001. "Stochastic Frontier Models with Random Coefficients," Athens University of Economics and Business 130, Athens University of Economics and Business, Department of International and European Economic Studies.

    Cited by:

    1. Assaf, A. George & Barros, Carlos Pestana & Managi, Shunsuke, 2011. "Cost efficiency of Japanese steam power generation companies: A Bayesian comparison of random and fixed frontier models," Applied Energy, Elsevier, vol. 88(4), pages 1441-1446, April.
    2. Kellermann, Magnus A., 2015. "Total Factor Productivity Decomposition and Unobserved Heterogeneity in Stochastic Frontier Models," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(1), pages 1-25, April.
    3. Maria Baquero Forero & Takanori Ida & Toshifumi Kuroda, 2015. "Institutions and Cultural Heterogeneity as Determinants of National Income: A Random-coefficients Stochastic Frontier Model," Review of Development Economics, Wiley Blackwell, vol. 19(3), pages 710-724, August.
    4. Kutlu, Levent & Sickles, Robin & Tsionas, Mike G., 2019. "Heterogeneous Decision-Making and Market Power," Working Papers 19-008, Rice University, Department of Economics.
    5. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    6. Oum, Tae H. & Yan, Jia & Yu, Chunyan, 2008. "Ownership forms matter for airport efficiency: A stochastic frontier investigation of worldwide airports," Journal of Urban Economics, Elsevier, vol. 64(2), pages 422-435, September.
    7. Economou, Polychronis & Malefaki, Sonia & Kounetas, Konstantinos, 2019. "Productive Performance and Technology Gaps using a Bayesian Metafrontier Production Function: A cross-country comparison," MPRA Paper 94462, University Library of Munich, Germany.
    8. Galina Besstremyannaya, 2011. "Managerial performance and cost efficiency of Japanese local public hospitals: A latent class stochastic frontier model," Health Economics, John Wiley & Sons, Ltd., vol. 20(S1), pages 19-34, September.
    9. Yélou, Clément & Larue, Bruno & Tran, Kien C., 2010. "Threshold effects in panel data stochastic frontier models of dairy production in Canada," Economic Modelling, Elsevier, vol. 27(3), pages 641-647, May.
    10. Cullmann, Astrid & Farsi, Mehdi & Filippini Massimo, 2009. "Unobserved Heterogeneity and International Benchmarking in Public Trasport," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 0904, USI Università della Svizzera italiana.
    11. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    12. John Goddard & Phil Molyneux & Jonathan Williams, 2013. "Dealing with Cross-Firm Heterogeneity in Bank Efficiency Estimates: Some evidence from Latin America," Working Papers 13011, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    13. Mike, Tsionas & Subal, Kumbhakar, 2011. "Firm-Heterogeneity, Persistent and Transient Technical Inefficiency," MPRA Paper 30737, University Library of Munich, Germany, revised 10 Apr 2011.
    14. Xiangfei Xin & Yi Zhang & Jimin Wang & John Alexander Nuetah, 2016. "Effects of Farm Size on Technical Efficiency in China's Broiler Sector: A Stochastic Meta-Frontier Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(3), pages 493-516, September.
    15. William C. Horrace & Kurt E. Schnier, 2008. "Fixed-Effect Estimation of Highly-Mobile Production Technologies," Center for Policy Research Working Papers 87, Center for Policy Research, Maxwell School, Syracuse University.
    16. Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.
    17. Michaelides, Panayotis G. & Vouldis, Angelos T. & Tsionas, Efthymios G., 2010. "Globally flexible functional forms: The neural distance function," European Journal of Operational Research, Elsevier, vol. 206(2), pages 456-469, October.
    18. Mehdi Farsi & Massimo Filippini, 2004. "Regulation and Measuring Cost-Efficiency with Panel Data Models: Application to Electricity Distribution Utilities," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 25(1), pages 1-19, August.
    19. T Agasisti & G Johnes, 2009. "Cost Structure, Efficiency and Heterogeneity in US Higher Education: An Empirical Analysis," Working Papers 599308, Lancaster University Management School, Economics Department.
    20. Johnes, Geraint & Johnes, Jill, 2009. "Higher education institutions' costs and efficiency: Taking the decomposition a further step," Economics of Education Review, Elsevier, vol. 28(1), pages 107-113, February.
    21. Zdenka ZAKOVA KROUPOVA & Lukas CECHURA & Michaela HAVLIKOVA & Pavlina HALOVA & Michal MALY, 2018. "Shadow prices of greenhouse gas emissions: An application to the Czech dairy production," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(7), pages 291-300.
    22. Antonio Álvarez & Carlos Arias & William Greene, 2004. "Accounting for unobservables in production models:management and inefficiency," Economic Working Papers at Centro de Estudios Andaluces E2004/72, Centro de Estudios Andaluces.
    23. Alfonso Flores-Lagunes & William C. Horrace & Kurt E. Schnier, 2007. "Identifying technically efficient fishing vessels: a non-empty, minimal subset approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 729-745.
    24. Guohua Feng & Chuan Wang & Apostolos Serletis, 2018. "Shadow prices of $$\hbox {CO}_{2}$$ CO 2 emissions at US electric utilities: a random-coefficient, random-directional-vector directional output distance function approach," Empirical Economics, Springer, vol. 54(1), pages 231-258, February.
    25. William Horrace & Seth Richards-Shubik, 2013. "Expected Efficiency Ranks From Parametric Stochastic Fronteir Models," Center for Policy Research Working Papers 153, Center for Policy Research, Maxwell School, Syracuse University.
    26. Galina Besstremyannaya & Sergei Golovan, 2023. "Measuring heterogeneity in hospital productivity: a quantile regression approach," Journal of Productivity Analysis, Springer, vol. 59(1), pages 15-43, February.
    27. Hailu, Getu & Goddard, Ellen W. & Jeffrey, Scott R., 2005. "Measuring Efficiency in Fruit and Vegetable Marketing Co-operatives with Heterogeneous Technologies in Canada," 2005 Annual meeting, July 24-27, Providence, RI 19507, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    28. Ho-chuan Huang, 2004. "Estimation of Technical Inefficiencies with Heterogeneous Technologies," Journal of Productivity Analysis, Springer, vol. 21(3), pages 277-296, May.
    29. Barbora Hřebíková & Lukáš Čechura, 2015. "An Analysis of the Impacts of Weather on Technical Efficiency in Czech Agriculture," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(5), pages 1645-1652.
    30. Yan, Jia & Sun, Xinyu & Liu, John J., 2009. "Assessing container operator efficiency with heterogeneous and time-varying production frontiers," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 172-185, January.
    31. Laureti, Tiziana & Secondi, Luca & Biggeri, Luigi, 2014. "Measuring the efficiency of teaching activities in Italian universities: An information theoretic approach," Economics of Education Review, Elsevier, vol. 42(C), pages 147-164.
    32. Holloway, Garth J. & Lacombe, Donald J. & LeSage, James P., 2006. "Spatial Econometric Issues for Bio-Economic and Land-Use Modeling," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25525, International Association of Agricultural Economists.
    33. Andrea Brasili & Loredana Federico, 2008. "Recent Developments in Productivity and the Role of Entrepreneurship in Italy: An Industry View," Rivista di Politica Economica, SIPI Spa, vol. 98(2), pages 179-214, March-Apr.
    34. Lajos Baráth & Imre Fertő & Štefan Bojnec, 2018. "Are farms in less favored areas less efficient?," Agricultural Economics, International Association of Agricultural Economists, vol. 49(1), pages 3-12, January.
    35. Subal Kumbhakar & Efthymios Tsionas, 2008. "Scale and efficiency measurement using a semiparametric stochastic frontier model: evidence from the U.S. commercial banks," Empirical Economics, Springer, vol. 34(3), pages 585-602, June.
    36. Kuosmanen, Timo, 2006. "Stochastic Nonparametric Envelopment of Data: Combining Virtues of SFA and DEA in a Unified Framework," Discussion Papers 11864, MTT Agrifood Research Finland.
    37. Kutlu, Levent & Mamatzakis, Emmanuel & Tsionas, Mike G., 2022. "A principal–agent approach for estimating firm efficiency: Revealing bank managerial behavior," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    38. Eric Njuki & Boris E Bravo-Ureta & Víctor E Cabrera, 2020. "Climatic effects and total factor productivity: econometric evidence for Wisconsin dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(3), pages 1276-1301.
    39. Assaf, A. George & Barros, Carlos & Sellers-Rubio, Ricardo, 2011. "Efficiency determinants in retail stores: a Bayesian framework," Omega, Elsevier, vol. 39(3), pages 283-292, June.
    40. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas, 2017. "Productive performance, technology heterogeneity and hierarchies: Who to compare with whom," International Journal of Production Economics, Elsevier, vol. 193(C), pages 465-478.
    41. Philippe K. Widmer & Peter Zweifel & Mehdi Farsi, 2011. "Accounting for heterogeneity in the measurement of hospital performance," ECON - Working Papers 052, Department of Economics - University of Zurich.
    42. Wang, Xiaobing & Hockmann, Heinrich, 2012. "Technical Efficiency Under Producer’S Individual Technology: A Metafrontier Analysis," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126755, International Association of Agricultural Economists.
    43. Horrace, William C., 2005. "On ranking and selection from independent truncated normal distributions," Journal of Econometrics, Elsevier, vol. 126(2), pages 335-354, June.
    44. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    45. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Xiao, Xing-Zhi & Tian, Zhen-Zhen & Yang, Xiao-Yuan & Wang, Jian-Lin, 2016. "Cost efficiency of electric grid utilities in China: A comparison of estimates from SFA–MLE, SFA–Bayes and StoNED–CNLS," Energy Economics, Elsevier, vol. 55(C), pages 272-283.
    46. Lajos Baráth & Imre Fertő & Heinrich Hockmann, 2020. "Technological Differences, Theoretical Consistency, and Technical Efficiency: The Case of Hungarian Crop-Producing Farms," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
    47. J. Griffin, 2011. "Bayesian clustering of distributions in stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 36(3), pages 275-283, December.
    48. Louri, Helen & Peppas, Costas & Tsionas, Efthymios, 2006. "Foreign presence, technical efficiency and firm survival in Greece: a simultaneous equation model with latent variables approach," MPRA Paper 29274, University Library of Munich, Germany.
    49. Tsionas, Efthymios G. & George Assaf, A., 2014. "Short-run and long-run performance of international tourism: Evidence from Bayesian dynamic models," Tourism Management, Elsevier, vol. 42(C), pages 22-36.
    50. Carlos Pestana Barros & Emanuel Reis Leão & Nkanga Pedro João Macanda & Zorro Mendes, 2016. "A Bayesian Efficiency Analysis of Angolan Banks," South African Journal of Economics, Economic Society of South Africa, vol. 84(3), pages 484-498, September.
    51. Levent Kutlu & Robin C. Sickles & Mike G. Tsionas & Emmanuel Mamatzakis, 2022. "Heterogeneous decision-making and market power: an application to Eurozone banks," Empirical Economics, Springer, vol. 63(6), pages 3061-3092, December.
    52. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    53. Mutz, Rüdiger & Bornmann, Lutz & Daniel, Hans-Dieter, 2017. "Are there any frontiers of research performance? Efficiency measurement of funded research projects with the Bayesian stochastic frontier analysis for count data," Journal of Informetrics, Elsevier, vol. 11(3), pages 613-628.
    54. Lukas Cechura & Aaron Grau & Heinrich Hockmann & Inna Levkovych & Zdenka Kroupova, 2017. "Catching Up or Falling Behind in European Agriculture: The Case of Milk Production," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 206-227, February.
    55. Giannis Karagiannis & Vangelis Tzouvelekas, 2009. "Measuring technical efficiency in the stochastic varying coefficient frontier model," Agricultural Economics, International Association of Agricultural Economists, vol. 40(4), pages 389-396, July.
    56. Sarmiento, Miguel & Galán, Jorge E., 2014. "Heterogeneous effects of risk-taking on bank efficiency : a stochastic frontier model with random coefficients," DES - Working Papers. Statistics and Econometrics. WS ws142013, Universidad Carlos III de Madrid. Departamento de Estadística.
    57. Otieno, David Jakinda & Hubbard, Lionel J. & Ruto, Eric, 2011. "Technical efficiency and technology gaps in beef cattle production systems in Kenya: A stochastic metafrontier analysis," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108947, Agricultural Economics Society.
    58. Jim Griffin & Mark Steel, 2005. "Bayesian Stochastic Frontier Analysis Using WinBUGS," Econometrics 0509004, University Library of Munich, Germany.
    59. Aparicio, Juan & Pastor, Jesús T. & Vidal, Fernando & Zofío, José L., 2017. "Evaluating productive performance: A new approach based on the product-mix problem consistent with Data Envelopment Analysis," Omega, Elsevier, vol. 67(C), pages 134-144.
    60. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    61. William C. Horrace & Yulong Wang, 2022. "Nonparametric tests of tail behavior in stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 537-562, April.
    62. Marta Arbelo-Pérez & Pilar Pérez-Gómez & Antonio Arbelo, 2023. "Profit efficiency and its determinants in the agricultural sector: A Bayesian approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(11), pages 436-445.
    63. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    64. Tsionas, Efthymios G. & Papadakis, Emmanuel N., 2010. "A Bayesian approach to statistical inference in stochastic DEA," Omega, Elsevier, vol. 38(5), pages 309-314, October.
    65. Juan Cabas Monje & Bouali Guesmi & Amer Ait Sidhoum & José María Gil, 2023. "Measuring technical efficiency of Spanish pig farming: Quantile stochastic frontier approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 688-703, October.
    66. Geraint Johnes & Ana S. Camanho & Maria S. Portela, 2008. "Assessing Efficiency Of Portuguese Universities Through Parametric And Non-Parametric Methods," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(1), pages 39-66.
    67. Eric Njuki & Boris E. Bravo-Ureta & Christopher J. O’Donnell, 2019. "Decomposing agricultural productivity growth using a random-parameters stochastic production frontier," Empirical Economics, Springer, vol. 57(3), pages 839-860, September.
    68. Anup Kumar Bhandari & Pradip Maiti, 2007. "Efficiency of Indian Manufacturing Firms: Textile Industry as a Case Study," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 6(1), pages 71-88, April.
    69. Efthymios G. Tsionas & Panayotis G. Michaelides, 2016. "A Spatial Stochastic Frontier Model with Spillovers: Evidence for Italian Regions," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(3), pages 243-257, July.
    70. Alexandra Schmidt & Ajax Moreira & Steven Helfand & Thais Fonseca, 2009. "Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 31(2), pages 101-112, April.
    71. Williams, Jonathan, 2012. "Efficiency and market power in Latin American banking," Journal of Financial Stability, Elsevier, vol. 8(4), pages 263-276.
    72. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.
    73. Seongho Song & David Yi, 2011. "The fundraising efficiency in U.S. non-profit art organizations: an application of a Bayesian estimation approach using the stochastic frontier production model," Journal of Productivity Analysis, Springer, vol. 35(2), pages 171-180, April.
    74. Guohua Feng & Todd Jewell, 2021. "Productivity and efficiency at english football clubs: a random coefficient approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(5), pages 571-604, November.
    75. Tsionas, Mike G. & Chen, Zhongfei & Wanke, Peter, 2017. "A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 1-10.
    76. Marta Arbelo-Pérez & Yaiza Armas-Cruz & Antonio Arbelo, 2022. "Environmental strategy and firm performance: A new methodological proposal," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(8), pages 283-292.
    77. Martinez Cillero, Maria & Breen, James & Thorne, Fiona & Wallace, Michael & Hennessy, Thia, 2016. "Technical efficiency and technology heterogeneity of beef farms: a latent class stochastic frontier approach," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236351, Agricultural Economics Society.
    78. Hien Thu Pham & Shino Takayama, 2017. "Firm Size Distribution, Production Efficiency, and Returns to Scale: A Stochastic Frontier Approach," Discussion Papers Series 581, School of Economics, University of Queensland, Australia.
    79. Mehdi Farsi & Massimo Filippini & William Greene, 2005. "Application of Panel Data Models in Benchmarking Analysis of the Electrivity Distribution Sector," CEPE Working paper series 05-39, CEPE Center for Energy Policy and Economics, ETH Zurich.
    80. Fleur Wouterse, 2016. "Can human capital variables be technology changing? An empirical test for rural households in Burkina Faso," Journal of Productivity Analysis, Springer, vol. 45(2), pages 157-172, April.
    81. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    82. Goto, Mika & Makhija, Anil K., 2007. "The Impact of Competition and Corporate Structure on Productive Efficiency: The Case of the U.S. Electric Utility Industry, 1990-2004," Working Paper Series 2007-10, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    83. Ioannis Skevas, 2023. "A novel modeling framework for quantifying spatial spillovers on total factor productivity growth and its components," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1221-1247, August.
    84. Gholamreza Hajargasht, 2004. "Some New Semiparametric Panel Stochastic Frontier Models," Econometric Society 2004 Australasian Meetings 127, Econometric Society.
    85. Kamil Makieła, 2017. "Bayesian Inference and Gibbs Sampling in Generalized True Random-Effects Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(1), pages 69-95, March.
    86. Gralka, Sabine, 2016. "Persistent inefficiency in the higher education sector: Evidence from Germany," CEPIE Working Papers 06/16, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    87. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    88. Glass, Anthony J. & Kenjegalieva, Karligash & Ajayi, Victor & Adetutu, Morakinyo & Sickles, Robin C., 2016. "Relative Winners and Losers from Efficiency Spillovers in Africa with Policy Implications for Regional Integration," Working Papers 16-003, Rice University, Department of Economics.
    89. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    90. Zoltán Bakucs & Imre Fertő & Enikő Vígh, 2020. "Crop Productivity and Climatic Conditions: Evidence from Hungary," Agriculture, MDPI, vol. 10(9), pages 1-12, September.
    91. Ioannis Skevas, 2019. "A Hierarchical Stochastic Frontier Model for Efficiency Measurement Under Technology Heterogeneity," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(3), pages 513-524, September.
    92. Michée A. Lachaud & Boris E. Bravo‐Ureta, 2021. "Agricultural productivity growth in Latin America and the Caribbean: an analysis of climatic effects, catch‐up and convergence," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(1), pages 143-170, January.
    93. Lajos Baráth & Imre Fertő & Štefan Bojnec, 2020. "The Effect of Investment, LFA and Agri‐environmental Subsidies on the Components of Total Factor Productivity: The Case of Slovenian Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 853-876, September.
    94. Hien Thu Pham & Nhan Buu Phan & Shino Takayama, 2020. "Productivity, Efficiency and Firm Size Distribution: Evidence from Vietnam," Discussion Papers Series 617, School of Economics, University of Queensland, Australia.
    95. Philippe K. Widmer, 2011. "Does prospective payment increase hospital (in)efficiency? Evidence from the Swiss hospital sector," ECON - Working Papers 053, Department of Economics - University of Zurich.
    96. Vouldis, Angelos T. & Michaelides, Panayotis G. & Tsionas, Efthymios G., 2010. "Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML," Economic Modelling, Elsevier, vol. 27(3), pages 697-704, May.
    97. Lukáš ČECHURA, 2010. "Estimation of technical efficiency in Czech agriculture with respect to firm heterogeneity," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 56(4), pages 183-191.
    98. Jorge Galán & Helena Veiga & Michael Wiper, 2014. "Bayesian estimation of inefficiency heterogeneity in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 85-101, August.
    99. Bahta, Sirak & Baker, Derek & Malope, Patrick & Katijuongua, Hikuepi, 2015. "A metafronteir analysis of determinants of technical efficiency in beef farm types: an application to Botswana," 2015 Conference, August 9-14, 2015, Milan, Italy 211194, International Association of Agricultural Economists.
    100. Lukáš Čechura & Heinrich Hockmann, 2017. "Heterogeneity in Production Structures and Efficiency: An Analysis of the Czech Food Processing Industry," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 702-719, October.
    101. A. Peyrache & A. N. Rambaldi, 2017. "Incorporating temporal and country heterogeneity in growth accounting—an application to EU-KLEMS," Journal of Productivity Analysis, Springer, vol. 47(2), pages 143-166, April.
    102. Efthymios G. Tsionas & Kien C. Tran & Panayotis G. Michaelides, 2019. "Bayesian inference in threshold stochastic frontier models," Empirical Economics, Springer, vol. 56(2), pages 399-422, February.
    103. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2019. "A time-varying true individual effects model with endogenous regressors," Journal of Econometrics, Elsevier, vol. 211(2), pages 539-559.
    104. A. Assaf, 2011. "Accounting for technological differences in modelling the performance of airports: a Bayesian approach," Applied Economics, Taylor & Francis Journals, vol. 43(18), pages 2267-2275.
    105. Sakano, Ryoichi & Obeng, Kofi, 2011. "Examining the Inefficiency of Transit Systems Using Latent Class Stochastic Frontier Models," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 50(2).
    106. Cardoso de Mendonça, Mário Jorge & Pereira, Amaro Olimpio & Medrano, Luis Alberto & Pessanha, José Francisco M., 2021. "Analysis of electric distribution utilities efficiency levels by stochastic frontier in Brazilian power sector," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    107. Drine IMED & Mahmoud SAMI NABI, 2009. "Public External Debt, Informality and Production Efficiency In Developing Countries," EcoMod2009 21500043, EcoMod.
    108. Astrid Cullmann, 2012. "Benchmarking and firm heterogeneity: a latent class analysis for German electricity distribution companies," Empirical Economics, Springer, vol. 42(1), pages 147-169, February.
    109. Jerzy Marzec & Andrzej Pisulewski, 2020. "Pomiar efektywności zróżnicowanych technologicznie gospodarstw rolnych w Unii Europejskiej," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 111-137.
    110. Farsi, Mehdi & Filippini, Massimo & Kuenzle, Michael, 2007. "Cost efficiency in the Swiss gas distribution sector," Energy Economics, Elsevier, vol. 29(1), pages 64-78, January.
    111. Nwigwe, Cecilia & Okoruwa, Victor & Obi-Egbedi, Oghenerueme, 2015. "Efficiency differentials and technological gaps in beef cattle production systems in Nigeria," 2015 Conference, August 9-14, 2015, Milan, Italy 229377, International Association of Agricultural Economists.
    112. Yang, Jin & Wang, Hui & Jin, Songqing & Chen, Kevin Z. & Riedinger, Jeffrey & Chao, Peng, 2014. "Migration, local off-farm employment, and agricultural production efficiency: Evidence from China:," IFPRI discussion papers 1338, International Food Policy Research Institute (IFPRI).
    113. Luis Orea & Tooraj Jamasb, 2017. "Regulating Heterogeneous Utilities: A New Latent Class Approach with Application to the Norwegian Electricity Distribution Networks," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    114. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022. "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, vol. 62(3), pages 1345-1363, March.
    115. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    116. Levent Kutlu & Kien C. Tran & Mike G. Tsionas, 2020. "Unknown latent structure and inefficiency in panel stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 54(1), pages 75-86, August.
    117. Jerzy Marzec & Andrzej Pisulewski, 2021. "Measurement of technical efficiency in the case of heterogeneity of technologies used between firms - Based on evidence from Polish crop farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(4), pages 152-161.
    118. Christian Stetter & Philipp Mennig & Johannes Sauer, 2022. "Using Machine Learning to Identify Heterogeneous Impacts of Agri-Environment Schemes in the EU: A Case Study," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(4), pages 723-759.
    119. Delis, Manthos & Iosifidi, Maria & Tsionas, Mike G, 2017. "Endogenous bank risk and efficiency," European Journal of Operational Research, Elsevier, vol. 260(1), pages 376-387.
    120. Peterson, Everett B. & Graham, Thea, 2008. "Open Skies: An Assessment of the US-EU Open Aviation Area Agreement," Conference papers 331713, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    121. Chao Bao & Hongjie Wang, 2019. "Trans-Provincial Convergence of per Capita Energy Consumption in Urban China, 1990–2015," Sustainability, MDPI, vol. 11(5), pages 1-15, March.
    122. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    123. Kamil Makie{l}a & B{l}a.zej Mazur, 2020. "Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging," Papers 2003.07150, arXiv.org, revised Oct 2020.
    124. Pavlos Almanidis & Mustafa U. Karakaplan & Levent Kutlu, 2019. "A dynamic stochastic frontier model with threshold effects: U.S. bank size and efficiency," Journal of Productivity Analysis, Springer, vol. 52(1), pages 69-84, December.
    125. Michael S. Rimler & Seongho Song & David T. Yi, 2010. "Estimating Production Efficiency in Men’s NCAA College Basketball: A Bayesian Approach," Journal of Sports Economics, , vol. 11(3), pages 287-315, June.
    126. Ioannis Skevas, 2024. "A note on functional form specification in random coefficients stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 61(1), pages 43-46, February.
    127. Mohammad I. Al Masud & Levent Kutlu, 2018. "US Bank Efficiency and FED Activity," Economics Bulletin, AccessEcon, vol. 38(4), pages 2047-2059.
    128. Haider, Salman & Mishra, Prajna Paramita, 2021. "Does innovative capability enhance the energy efficiency of Indian Iron and Steel firms? A Bayesian stochastic frontier analysis," Energy Economics, Elsevier, vol. 95(C).
    129. Orosco Gavilán, Juan Carlos & Lopes Moreira Da Veiga, María Helena & Wiper, Michael Peter, 2023. "Measuring efficiency of Peruvian universities: a stochastic frontier analysis," DES - Working Papers. Statistics and Econometrics. WS 36250, Universidad Carlos III de Madrid. Departamento de Estadística.
    130. Kuosmanen, Timo & Saastamoinen, Antti & Sipiläinen, Timo, 2013. "What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods," Energy Policy, Elsevier, vol. 61(C), pages 740-750.
    131. Hao Wang & Tao Zhang & Xi Wang & Jiansong Zheng, 2024. "Relationship between Occupational Pension, Corporate Social Responsibility (CSR), and Organizational Resilience: A Study on Listed Chinese Companies," Risks, MDPI, vol. 12(4), pages 1-31, April.
    132. Lambarraa, Fatima, 2011. "Dynamic Efficiency Analysis of Spanish Outdoor and Greenhouse Horticulture Sector," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114408, European Association of Agricultural Economists.
    133. Pavlos Almanidis, 2013. "Accounting for heterogeneous technologies in the banking industry: a time-varying stochastic frontier model with threshold effects," Journal of Productivity Analysis, Springer, vol. 39(2), pages 191-205, April.
    134. Tsionas, Mike G. & Patel, Pankaj C., 2023. "Accounting for intra-industry technological heterogeneity in the measurement of operations efficiency," International Journal of Production Economics, Elsevier, vol. 260(C).
    135. Antonio Arbelo & Marta Arbelo-Pérez & Pilar Pérez-Gómez, 2022. "Are SMEs less efficient? A Bayesian approach to addressing heterogeneity across firms," Small Business Economics, Springer, vol. 58(4), pages 1915-1929, April.
    136. Geraint Johnes & Manuel Salas-Velasco, 2007. "The Determinants Of Costs And Efficiencies Where Producers Are Heterogeneous: The Case Of Spanish Universities," Economics Bulletin, AccessEcon, vol. 4(15), pages 1-9.
    137. Lambarraa, Fatima, 2012. "The Spanish Horticulture Sector: A dynamic efficiency analysis of Outdoor and Greenhouse farms," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126797, International Association of Agricultural Economists.
    138. C. P. Barros & O. H. dos S. Figueiredo & Silvestre Dumbo, 2016. "A performance assessment of the Angolan soccer league," Applied Economics, Taylor & Francis Journals, vol. 48(29), pages 2711-2720, June.
    139. Garcia, Luis & Laepple, Doris & Dillon, Emma & Thorne, Fiona, 2020. "The role of hired labor in transient and persistent technical efficiency on Irish dairy farms," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304395, Agricultural and Applied Economics Association.
    140. Geraint Johnes & Astrid Schwarzenberger, 2011. "Differences in cost structure and the evaluation of efficiency: the case of German universities," Education Economics, Taylor & Francis Journals, vol. 19(5), pages 487-499, January.
    141. Bellio, Ruggero & Grassetti, Luca, 2011. "Semiparametric stochastic frontier models for clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 71-83, January.
    142. Tom Kompas, 2004. "Market reform, productivity and efficiency in Vietnamese rice production," International and Development Economics Working Papers idec04-4, International and Development Economics.
    143. Feng, Guohua & Zhang, Xiaohui, 2014. "Returns to scale at large banks in the US: A random coefficient stochastic frontier approach," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 135-145.

  42. Subal Kumbhakar & Efthymios Tsionas, "undated". "Does Deregulation Change Economic Behavior of Firms?," Working Papers 0303, University of Crete, Department of Economics.

    Cited by:

    1. Chih-Hai Yang & Ku-Hsieh Chen, 2009. "Are small firms less efficient?," Small Business Economics, Springer, vol. 32(4), pages 375-395, April.

Articles

  1. Tsionas, Mike & Parmeter, Christopher F. & Zelenyuk, Valentin, 2023. "Bayesian Artificial Neural Networks for frontier efficiency analysis," Journal of Econometrics, Elsevier, vol. 236(2).
    See citations under working paper version above.
  2. N. Englezos & X. Kartala & P. Koundouri & M. Tsionas & A. Alamanos, 2023. "A Novel HydroEconomic - Econometric Approach for Integrated Transboundary Water Management Under Uncertainty," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 975-1030, April.
    See citations under working paper version above.
  3. Fukuyama, Hirofumi & Tsionas, Mike & Tan, Yong, 2023. "Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: Application to the Chinese banking industry," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1360-1373.

    Cited by:

    1. Satyam Kumar & Yelleti Vivek & Vadlamani Ravi & Indranil Bose, 2023. "Causal Inference for Banking Finance and Insurance A Survey," Papers 2307.16427, arXiv.org.
    2. Fukuyama, Hirofumi & Tsionas, Mike & Tan, Yong, 2024. "The impacts of innovation and trade openness on bank market power: The proposal of a minimum distance cost function approach and a causal structure analysis," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1178-1194.
    3. Pejman Peykani & Mostafa Sargolzaei & Amir Takaloo & Shahla Valizadeh, 2023. "The Effects of Monetary Policy on Macroeconomic Variables through Credit and Balance Sheet Channels: A Dynamic Stochastic General Equilibrium Approach," Sustainability, MDPI, vol. 15(5), pages 1-21, March.
    4. Del Barrio-Tellado, María José & Gómez-Vega, Mafalda & Herrero-Prieto, Luis César, 2023. "Performance of cultural heritage institutions: A regional perspective," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).

  4. Bu, Ruijun & Hizmeri, Rodrigo & Izzeldin, Marwan & Murphy, Anthony & Tsionas, Mike, 2023. "The contribution of jump signs and activity to forecasting stock price volatility," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 144-164.
    See citations under working paper version above.
  5. Bournakis, Ioannis & Tsionas, Mike, 2022. "Productivity with Endogenous FDI Spillovers: A Novel Estimation Approach," International Journal of Production Economics, Elsevier, vol. 251(C).

    Cited by:

    1. Shen, Zhiyang & Zhao, Yuntian & Guneri, Fatma & Yang, Yiping & Wang, Songkai & Deng, Haiyan, 2023. "Does the rise of China promote the sustainable development of OECD countries? A geopolitical perspective," Resources Policy, Elsevier, vol. 85(PB).

  6. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022. "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, vol. 62(3), pages 1345-1363, March.

    Cited by:

    1. Juan José Price & Arne Henningsen, 2023. "A ray-based input distance function to model zero-valued output quantities: Derivation and an empirical application," Journal of Productivity Analysis, Springer, vol. 60(2), pages 179-188, October.

  7. Georgios Bertsatos & Plutarchos Sakellaris & Mike G. Tsionas, 2022. "Correction to: Extensions of the Pesaran, Shin and Smith (2001) bounds testing procedure," Empirical Economics, Springer, vol. 62(2), pages 635-635, February.

    Cited by:

    1. Rima Aloulou & Maha Kalai & Kamel Helali, 2023. "The symmetric and asymmetric impacts of external debt on economic growth in Tunisia: evidence from linear and nonlinear ARDL models," SN Business & Economics, Springer, vol. 3(7), pages 1-28, July.
    2. Caravaggio, Nicola & Carnazza, Giovanni, 2022. "The Italian nominal interest rate conundrum: A problem of growth or public finance?," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 313-326.

  8. Patel, Pankaj C. & Tsionas, Mike G., 2022. "Cultural interconnectedness in supply chain networks and change in performance: An internal efficiency perspective," International Journal of Production Economics, Elsevier, vol. 243(C).

    Cited by:

    1. Sharma, Amalesh & Pathak, Surya & Borah, Sourav Bikash & Adhikary, Anirban, 2022. "Collaboration strategies in buyer-supplier relational (BSR) networks and sustainable firm performance: A trade-off story," International Journal of Production Economics, Elsevier, vol. 253(C).
    2. Patel, Pankaj C. & Ojha, Divesh & Naskar, Shankar, 2022. "The effect of firm efficiency on firm performance: Evidence from the Domestic Production Activities Deduction Act," International Journal of Production Economics, Elsevier, vol. 253(C).

  9. Georgios Bertsatos & Plutarchos Sakellaris & Mike G. Tsionas, 2022. "Extensions of the Pesaran, Shin and Smith (2001) bounds testing procedure," Empirical Economics, Springer, vol. 62(2), pages 605-634, February.

    Cited by:

    1. Rima Aloulou & Maha Kalai & Kamel Helali, 2023. "The symmetric and asymmetric impacts of external debt on economic growth in Tunisia: evidence from linear and nonlinear ARDL models," SN Business & Economics, Springer, vol. 3(7), pages 1-28, July.
    2. Caravaggio, Nicola & Carnazza, Giovanni, 2022. "The Italian nominal interest rate conundrum: A problem of growth or public finance?," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 313-326.

  10. Tsionas, Mike, 2022. "Efficiency estimation using probabilistic regression trees with an application to Chilean manufacturing industries," International Journal of Production Economics, Elsevier, vol. 249(C).

    Cited by:

    1. Raul Moragues & Juan Aparicio & Miriam Esteve, 2023. "Ranking the Importance of Variables in a Nonparametric Frontier Analysis Using Unsupervised Machine Learning Techniques," Mathematics, MDPI, vol. 11(11), pages 1-24, June.
    2. Raul Moragues & Juan Aparicio & Miriam Esteve, 2023. "Measuring technical efficiency for multi-input multi-output production processes through OneClass Support Vector Machines: a finite-sample study," Operational Research, Springer, vol. 23(3), pages 1-33, September.
    3. España, Victor J. & Aparicio, Juan & Barber, Xavier & Esteve, Miriam, 2024. "Estimating production functions through additive models based on regression splines," European Journal of Operational Research, Elsevier, vol. 312(2), pages 684-699.
    4. Papaioannou, Grammatoula & Podinovski, Victor V., 2023. "Production technologies with ratio inputs and outputs," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1164-1178.

  11. Delis, Manthos D. & Iosifidi, Maria & Kazakis, Pantelis & Ongena, Steven & Tsionas, Mike G., 2022. "Management practices and M&A success," Journal of Banking & Finance, Elsevier, vol. 134(C).

    Cited by:

    1. Delis, Manthos D. & Kazakis, Pantelis & Zopounidis, Constantin, 2023. "Management and takeover decisions," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1256-1268.
    2. Manthos D. Delis & Pantelis Kazakis & Constantin Zopounidis, 2021. "Management Practices and Takeover Decisions," Working Papers 2021_10, Business School - Economics, University of Glasgow.

  12. Tsionas, Mike & Patel, Pankaj C. & Guedes, Maria João, 2022. "Endogenous efficiency of the dynamic profit maximization in the intertemporal production models of venture behavior," International Journal of Production Economics, Elsevier, vol. 246(C).

    Cited by:

    1. Jafar Hussain & Chien‐Chiang Lee, 2022. "A green path towards sustainable development: Optimal behavior of the duopoly game model with carbon neutrality instruments," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1523-1541, December.
    2. Tsionas, Mike G. & Patel, Pankaj C., 2023. "Accounting for intra-industry technological heterogeneity in the measurement of operations efficiency," International Journal of Production Economics, Elsevier, vol. 260(C).

  13. Tsionas, Mike G., 2022. "Random and Markov switching exponential smoothing models," Technological Forecasting and Social Change, Elsevier, vol. 174(C).

    Cited by:

    1. Hao, Jun & Feng, Qianqian & Yuan, Jiaxin & Sun, Xiaolei & Li, Jianping, 2022. "A dynamic ensemble learning with multi-objective optimization for oil prices prediction," Resources Policy, Elsevier, vol. 79(C).

  14. Emmanuel Mamatzakis & Mike G. Tsionas, 2021. "Testing for persistence in US mutual funds’ performance: a Bayesian dynamic panel model," Annals of Operations Research, Springer, vol. 299(1), pages 1203-1233, April.

    Cited by:

    1. Sally G. Arcidiacono & Damiano Rossello, 2022. "A hybrid approach to the discrepancy in financial performance’s robustness," Operational Research, Springer, vol. 22(5), pages 5441-5476, November.

  15. Kumbhakar, Subal C. & Tsionas, Mike G., 2021. "Dissections of input and output efficiency: A generalized stochastic frontier model," International Journal of Production Economics, Elsevier, vol. 232(C).

    Cited by:

    1. Tsionas, Mike G., 2023. "Minimax regret priors for efficiency estimation," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1279-1285.
    2. Mike Tsionas & Valentin Zelenyuk, 2021. "Goodness-of-fit in Optimizing Models of Production: A Generalization with a Bayesian Perspective," CEPA Working Papers Series WP182021, School of Economics, University of Queensland, Australia.
    3. Liang, Jing & Yang, Shilei & Xia, Yu, 2023. "The role of financial slack on the relationship between demand uncertainty and operational efficiency," International Journal of Production Economics, Elsevier, vol. 262(C).
    4. Tsionas, Mike G. & Patel, Pankaj C., 2023. "Accounting for intra-industry technological heterogeneity in the measurement of operations efficiency," International Journal of Production Economics, Elsevier, vol. 260(C).

  16. Izzeldin, Marwan & Johnes, Jill & Ongena, Steven & Pappas, Vasileios & Tsionas, Mike, 2021. "Efficiency convergence in Islamic and conventional banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 70(C).

    Cited by:

    1. Panagiotis Mitropoulos & Alexandros Mitropoulos, 2023. "Evaluating efficiency and technology gaps of the national systems of entrepreneurship using stochastic DEA and club convergence," Operational Research, Springer, vol. 23(1), pages 1-28, March.
    2. Aflatooni, Abbas & Ghaderi, Kaveh & Mansouri, Kefsan, 2022. "Sanctions against Iran, political connections and speed of adjustment," Emerging Markets Review, Elsevier, vol. 51(PB).
    3. Amal Alabbad & Andrea Schertler, 2022. "COVID-19 and bank performance in dual-banking countries: an empirical analysis," Journal of Business Economics, Springer, vol. 92(9), pages 1511-1557, November.
    4. Ferry Syarifuddin, 2022. "Is Islamic Banks Better Than Conventional Banks In The Time Of Uncertainty?," Working Papers WP/06/2022, Bank Indonesia.
    5. Addi, Abdelhamid & Bouoiyour, Jamal, 2023. "Interconnectedness and extreme risk: Evidence from dual banking systems," Economic Modelling, Elsevier, vol. 120(C).
    6. Dibooglu, Sel & Cevik, Emrah I. & Tamimi, Hussein A. Hassan Al, 2022. "Credit default risk in Islamic and conventional banks: Evidence from a GARCH option pricing model," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 396-411.
    7. Christos Alexakis & Dimitris Kenourgios & Vasileios Pappas & Athina Petropoulou, 2021. "From dotcom to Covid-19: A convergence analysis of Islamic investments," Post-Print hal-03347374, HAL.
    8. Isnurhadi & Sulastri & Yulia Saftiana & Ferry Jie, 2022. "Banking Industry Sustainable Growth Rate under Risk: Empirical Study of the Banking Industry in ASEAN Countries," Sustainability, MDPI, vol. 15(1), pages 1-21, December.

  17. Konstantinos N. Konstantakis & Despoina Paraskeuopoulou & Panayotis G. Michaelides & Efthymios G. Tsionas, 2021. "Bank deposits and Google searches in a crisis economy: Bayesian non‐linear evidence for Greece (2009–2015)," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5408-5424, October.

    Cited by:

    1. Alexandros P. Bechlioulis & Dimitrios Karamanis, 2023. "Consumers’ changing financial behavior during the COVID-19 lockdown: the case of Internet banking use in Greece," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(3), pages 526-543, September.

  18. Mamatzakis, Emmanuel C. & Tsionas, Mike G., 2021. "Making inference of British household's happiness efficiency: A Bayesian latent model," European Journal of Operational Research, Elsevier, vol. 294(1), pages 312-326.

    Cited by:

    1. Badunenko, Oleg & Cordero, Jose M. & Kumbhakar, Subal C., 2021. "Are you slacking? Where do you and your country stand in the happiness pursuit?," MPRA Paper 108316, University Library of Munich, Germany.

  19. Tsionas, Mike G., 2021. "Optimal combinations of stochastic frontier and data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 294(2), pages 790-800.

    Cited by:

    1. Yi Ji & Hechang Cai & Zilong Wang, 2023. "Impact of Industrial Synergy on the Efficiency of Innovation Resource Allocation: Evidence from Chinese Metropolitan Areas," Land, MDPI, vol. 12(1), pages 1-16, January.
    2. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    3. Massarutto, Antonio & Grassetti, Luca & Lambardi di San Miniato, Michele & Moletta, Mattia, 2023. "Efficient firms are all alike, but every inefficient firm is such in its own way: Heterogeneity of costs determinants in the Italian water sector," Utilities Policy, Elsevier, vol. 84(C).
    4. Ahn, Heinz & Clermont, Marcel & Langner, Julia, 2023. "Comparative performance analysis of frontier-based efficiency measurement methods – A Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 307(1), pages 294-312.
    5. Tsionas, Mike G., 2023. "Clustering and meta-envelopment in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 304(2), pages 763-778.
    6. Zeebari, Zangin & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2021. "Regularized Conditional Estimators of Unit Inefficiency in Stochastic Frontier Analysis, with Application to Electricity Distribution Market," Ratio Working Papers 345, The Ratio Institute.
    7. Xuan Thi Thanh Mai & Ha Thi Nhu Nguyen & Thanh Ngo & Tu D. Q. Le & Lien Phuong Nguyen, 2023. "Efficiency of the Islamic Banking Sector: Evidence from Two-Stage DEA Double Frontiers Analysis," IJFS, MDPI, vol. 11(1), pages 1-14, February.
    8. Kosycarz, Ewa & Dędys, Monika & Ekes, Maria & Wranik, Wiesława Dominika, 2023. "The effects of provider contract types and fiscal decentralization on the efficiency of the Polish hospital sector: A data envelopment analysis across 16 health regions," Health Policy, Elsevier, vol. 129(C).

  20. Rezitis, Anthony N. & Rokopanos, Andreas & Tsionas, Mike G., 2021. "Investigating dynamic price co-movements in the international milk market using copulas: The role of trade agreements," Economic Modelling, Elsevier, vol. 95(C), pages 215-227.

    Cited by:

    1. Fernandes, Mário Correia & Dias, José Carlos & Nunes, João Pedro Vidal, 2021. "Modeling energy prices under energy transition: A novel stochastic-copula approach," Economic Modelling, Elsevier, vol. 105(C).
    2. Jang, Hyuna & Kim, Jong-Min & Noh, Hohsuk, 2022. "Vine copula Granger causality in mean," Economic Modelling, Elsevier, vol. 109(C).

  21. Atkinson, Scott E. & Tsionas, Mike G., 2021. "Generalized estimation of productivity with multiple bad outputs: The importance of materials balance constraints," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1165-1186.

    Cited by:

    1. Rødseth, Kenneth Løvold, 2023. "Shadow pricing of electricity generation using stochastic and deterministic materials balance models," Applied Energy, Elsevier, vol. 341(C).
    2. Wu, F. & Wang, S.Y. & Zhou, P., 2023. "Marginal abatement cost of carbon dioxide emissions: The role of abatement options," European Journal of Operational Research, Elsevier, vol. 310(2), pages 891-901.

  22. Artem Prokhorov & Kien C. Tran & Mike G. Tsionas, 2021. "Estimation of semi- and nonparametric stochastic frontier models with endogenous regressors," Empirical Economics, Springer, vol. 60(6), pages 3043-3068, June.

    Cited by:

    1. Tran, Kien C. & Tsionas, Mike G. & Prokhorov, Artem B., 2023. "Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1189-1199.

  23. Chen, Ya & Tsionas, Mike G. & Zelenyuk, Valentin, 2021. "LASSO+DEA for small and big wide data," Omega, Elsevier, vol. 102(C).

    Cited by:

    1. Dai, Sheng, 2023. "Variable selection in convex quantile regression: L1-norm or L0-norm regularization?," European Journal of Operational Research, Elsevier, vol. 305(1), pages 338-355.
    2. Duras, Toni & Javed, Farrukh & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2023. "Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data," Energy Economics, Elsevier, vol. 120(C).

  24. Dragomirescu-Gaina, Catalin & Philippas, Dionisis & Tsionas, Mike G., 2021. "Trading off accuracy for speed: Hedge funds' decision-making under uncertainty," International Review of Financial Analysis, Elsevier, vol. 75(C).

    Cited by:

    1. Dionisis Th Philippas & Catalin Dragomirescu-Gaina & Stéphane Goutte & Duc Khuong Nguyen, 2021. "Investors’ attention and information losses under market stress," Post-Print hal-03434918, HAL.
    2. Costas Siriopoulos & Dionisis Philippas, 2024. "Putting corona into hedge fund managers' head," Economics Bulletin, AccessEcon, vol. 44(1), pages 341-357.

  25. Kock, Florian & Nørfelt, Astrid & Josiassen, Alexander & Assaf, A. George & Tsionas, Mike G., 2020. "Understanding the COVID-19 tourist psyche: The Evolutionary Tourism Paradigm," Annals of Tourism Research, Elsevier, vol. 85(C).

    Cited by:

    1. Jeongmyeong Song & Myungkyu Jung & Kwangho Park & Ho Yeol Yu, 2022. "Water Sport Tourists’ Hesitation in Decision-Making during the COVID-19 Pandemic: The Moderating Effect of Destination Image," Sustainability, MDPI, vol. 14(8), pages 1-12, April.
    2. Miao, Li & Im, Jinyoung & Fu, Xiaoxiao & Kim, Haemi & Zhang, Yi Estella, 2021. "Proximal and distal post-COVID travel behavior," Annals of Tourism Research, Elsevier, vol. 88(C).
    3. Yu, Ling & Zhao, Pengjun & Tang, Junqing & Pang, Liang, 2023. "Changes in tourist mobility after COVID-19 outbreaks," Annals of Tourism Research, Elsevier, vol. 98(C).
    4. Walters, Gabby & Magor, Thomas & Kelly, Sarah & Wallin, Ann, 2022. "Cruising through a pandemic: Or not?," Annals of Tourism Research, Elsevier, vol. 97(C).
    5. Torabi, Zabih-Allah & Rezvani, Mohammad Reza & Hall, C. Michael & Allam, Zaheer, 2023. "On the post-pandemic travel boom: How capacity building and smart tourism technologies in rural areas can help - evidence from Iran," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    6. Xiong, Xiling & Wong, IpKin Anthony & Yang, Fiona X., 2021. "Are we behaviorally immune to COVID-19 through robots?," Annals of Tourism Research, Elsevier, vol. 91(C).
    7. Talwar, Shalini & Srivastava, Shalini & Sakashita, Mototaka & Islam, Nazrul & Dhir, Amandeep, 2022. "Personality and travel intentions during and after the COVID-19 pandemic: An artificial neural network (ANN) approach," Journal of Business Research, Elsevier, vol. 142(C), pages 400-411.
    8. Judit Sulyok & Beáta Fehérvölgyi & Tibor Csizmadia & Attila I. Katona & Zsolt T. Kosztyán, 2023. "Does geography matter? Implications for future tourism research in light of COVID-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1601-1637, March.
    9. Daniel Bulin & Georgică Gheorghe & Iulian-Petru Tenie, 2021. "EU Most Vulnerable Economies from the Tourism Sector Perspective: a Macroeconomic Approach," Global Economic Observer, "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, vol. 9(1), pages 48-54, June.
    10. Ulrika Persson-Fischer & Shuangqi Liu, 2021. "The Impact of a Global Crisis on Areas and Topics of Tourism Research," Sustainability, MDPI, vol. 13(2), pages 1-26, January.
    11. Rehab El Gamil, 2022. "Exploring Travel Behaviour Post-COVID-19: Towards a More Responsible Tourism," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 15(2), pages 203-216.
    12. Hui Yan & Haixiang Wei & Min Wei, 2021. "Exploring Tourism Recovery in the Post-COVID-19 Period: An Evolutionary Game Theory Approach," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    13. Chan, Elisa K., 2023. "Pandemic experience and locus of protection," Annals of Tourism Research, Elsevier, vol. 100(C).
    14. Romina Alkier & Goran Perić & Sandra Dramićanin, 2022. "Travel Risk Perception in a Health Crisis Caused by the Covid-19 Virus: The Case of Serbia," Central European Business Review, Prague University of Economics and Business, vol. 2022(5), pages 85-107.
    15. Isabell Handler, 2022. "Can Senior Travelers Save Japanese Hot Springs? A Psychographic Segmentation of Visitors and Their Intention to Visit Onsen Establishments during COVID-19," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
    16. Fotiadis, Anestis & Polyzos, Stathis & Huan, Tzung-Cheng T.C., 2021. "The good, the bad and the ugly on COVID-19 tourism recovery," Annals of Tourism Research, Elsevier, vol. 87(C).
    17. Köchling, Anne, 2022. "Zwischen Reisemotivation und Reisebarrieren: Analyse von Urlaubseinstellungstypen in neun westlichen Ländern nach fast zwei Jahren Corona-Pandemie," Working Paper Series 2, Deutsches Institut für Tourismusforschung, Fachhochschule Westküste.
    18. Bresciani, Stefano & Ferraris, Alberto & Santoro, Gabriele & Premazzi, Katia & Quaglia, Roberto & Yahiaoui, Dorra & Viglia, Giampaolo, 2021. "The seven lives of Airbnb. The role of accommodation types," Annals of Tourism Research, Elsevier, vol. 88(C).
    19. MAMATZAKIS, emmanuel & MAMATZAKIS, E, 2022. "Understanding the impact of travel on wellbeing: evidence for Great Britain during the pandemic," MPRA Paper 112974, University Library of Munich, Germany.
    20. Chung-Wei Kuo, 2021. "Can We Return to Our Normal Life When the Pandemic Is under Control? A Preliminary Study on the Influence of COVID-19 on the Tourism Characteristics of Taiwan," Sustainability, MDPI, vol. 13(17), pages 1-17, August.
    21. José F Baños-Pino & David Boto-García & Eduardo Del Valle & Inés Sustacha, 2023. "The impact of COVID-19 on tourists’ length of stay and daily expenditures," Tourism Economics, , vol. 29(2), pages 437-459, March.
    22. Salesi, Vinolia Kilinaivoni & Kan Tsui, Wai Hong & Fu, Xiaowen & Gilbey, Andrew, 2022. "Strategies for South Pacific Region to address future pandemics: Implications for the aviation and tourism sectors based on a systematic literature review (2010–2021)," Transport Policy, Elsevier, vol. 125(C), pages 107-126.
    23. Najib Noorashid & Wei Lee Chin, 2021. "Coping with COVID-19: The Resilience and Transformation of Community-Based Tourism in Brunei Darussalam," Sustainability, MDPI, vol. 13(15), pages 1-28, August.
    24. Constantina-Alina MILOS & Andreea-Daniela MORARU, 2023. "How the COVID-19 Pandemic Impacted Tourism and Tourist Behaviour. A Perspective on Typologies of New Consumers," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 127-133.
    25. Giacomo Del Chiappa & Ilenia Bregoli & Marcello Atzeni, 2021. "Uncovering knowledge on travel behaviour during COVID-19: a convergent parallel mixed-methods study in the context of Italy," Italian Journal of Marketing, Springer, vol. 2021(4), pages 393-419, December.
    26. Andrzej Dudek & Daria Jaremen & Izabela Michalska-Dudek & Marek Walesiak, 2021. "Analysis of Changes in Shopping Behaviour of Package Holidays Purchasers Caused by the COVID-19 Pandemic," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 691-707.
    27. Akhter Shareef, Mahmud & Shakaib Akram, Muhammad & Tegwen Malik, F. & Kumar, Vinod & Dwivedi, Yogesh K. & Giannakis, Mihalis, 2023. "An attitude-behavioral model to understand people’s behavior towards tourism during COVID-19 pandemic," Journal of Business Research, Elsevier, vol. 161(C).
    28. Michela Piccarozzi & Cecilia Silvestri & Patrizio Morganti, 2021. "COVID-19 in Management Studies: A Systematic Literature Review," Sustainability, MDPI, vol. 13(7), pages 1-28, March.
    29. Marina Sheresheva & Marina Efremova & Lilia Valitova & Anna Polukhina & Georgy Laptev, 2021. "Russian Tourism Enterprises’ Marketing Innovations to Meet the COVID-19 Challenges," Sustainability, MDPI, vol. 13(7), pages 1-17, March.
    30. Borowiecki, Karol Jan & Pedersen, Maja U. & Mitchell, Sara Beth, 2023. "Using big data to measure cultural tourism in Europe with unprecedented precision," Discussion Papers on Economics 5/2023, University of Southern Denmark, Department of Economics.
    31. Su, Lujun & Tang, Binli & Nawijn, Jeroen, 2021. "How tourism activity shapes travel experience sharing: Tourist well-being and social context," Annals of Tourism Research, Elsevier, vol. 91(C).
    32. Yang, Yang & Zhang, Carol X. & Rickly, Jillian M., 2021. "A review of early COVID-19 research in tourism: Launching the Annals of Tourism Research's Curated Collection on coronavirus and tourism1," Annals of Tourism Research, Elsevier, vol. 91(C).
    33. Andreea Orîndaru & Maria-Floriana Popescu & Alina Petronela Alexoaei & Ștefan-Claudiu Căescu & Margareta Stela Florescu & Anca-Olguța Orzan, 2021. "Tourism in a Post-COVID-19 Era: Sustainable Strategies for Industry’s Recovery," Sustainability, MDPI, vol. 13(12), pages 1-22, June.
    34. Cecilia Pasquinelli & Mariapina Trunfio & Nicola Bellini & Simona Rossi, 2021. "Sustainability in Overtouristified Cities? A Social Media Insight into Italian Branding Responses to Covid-19 Crisis," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    35. Sarah Eichelberger & Manuela Heigl & Mike Peters & Birgit Pikkemaat, 2021. "Exploring the Role of Tourists: Responsible Behavior Triggered by the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(11), pages 1-14, May.
    36. Karl, Marion & Kock, Florian & Ritchie, Brent W. & Gauss, Jana, 2021. "Affective forecasting and travel decision-making: An investigation in times of a pandemic," Annals of Tourism Research, Elsevier, vol. 87(C).
    37. Zhang, Carol X. & Wang, Liang & Rickly, Jillian M., 2021. "Non-interaction and identity change in Covid-19 tourism," Annals of Tourism Research, Elsevier, vol. 89(C).
    38. Sławomir Kalinowski & Aleksandra Łuczak & Adam Koziolek, 2022. "The Social Dimension of Security: The Dichotomy of Respondents’ Perceptions during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(3), pages 1-20, January.
    39. Mayer, Marius & Bichler, Bernhard Fabian & Pikkemaat, Birgit & Peters, Mike, 2021. "Media discourses about a superspreader destination: How mismanagement of Covid-19 triggers debates about sustainability and geopolitics," Annals of Tourism Research, Elsevier, vol. 91(C).
    40. Li, Xun & Gong, Jian & Gao, Baojun & Yuan, Peiwen, 2021. "Impacts of COVID-19 on tourists' destination preferences: Evidence from China," Annals of Tourism Research, Elsevier, vol. 90(C).
    41. Marko Perić & Vanja Vitezić, 2021. "Tourism Getting Back to Life after COVID-19: Can Artificial Intelligence Help?," Societies, MDPI, vol. 11(4), pages 1-13, September.
    42. Michael L Polemis & Panayiotis Tzeremes & Nickolaos G Tzeremes, 2023. "Hotels’ occupancy rates and convergence: Empirical evidence from the first pandemic wave," Tourism Economics, , vol. 29(2), pages 533-542, March.

  26. Tsionas, Mike G. & Mamatzakis, Emmanuel & Ongena, Steven, 2020. "Does risk aversion affect bank output loss? The case of the Eurozone," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1127-1145.

    Cited by:

    1. Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.
    2. Mamatzakis, Emmanuel C. & Ongena, Steven & Tsionas, Mike G., 2021. "Does alternative finance moderate bank fragility? Evidence from the euro area," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).

  27. Tsionas, Mike G., 2020. "Bounded rationality and thick frontiers in stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 284(2), pages 762-768.

    Cited by:

    1. Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.

  28. Tsionas, Mike G. & Andrikopoulos, Athanasios, 2020. "On a High-Dimensional Model Representation method based on Copulas," European Journal of Operational Research, Elsevier, vol. 284(3), pages 967-979.

    Cited by:

    1. Doumpos, Michalis & Zopounidis, Constantin & Gounopoulos, Dimitrios & Platanakis, Emmanouil & Zhang, Wenke, 2023. "Operational research and artificial intelligence methods in banking," European Journal of Operational Research, Elsevier, vol. 306(1), pages 1-16.
    2. Tsionas, Mike G., 2023. "Combining data envelopment analysis and stochastic frontiers via a LASSO prior," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1158-1166.
    3. Kenichiro Shiraya & Tomohisa Yamakami, 2023. "Constructing Copulas Using Corrected Hermite Polynomial Expansion for Estimating Cross Foreign Exchange Volatility," Papers 2301.10044, arXiv.org.
    4. Michael L. Polemis & Mike G. Tsionas, 2022. "Endogenous productivity: a new Bayesian perspective," Annals of Operations Research, Springer, vol. 318(1), pages 425-451, November.

  29. Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2020. "Endogenous dynamic efficiency in the intertemporal optimization models of firm behavior," European Journal of Operational Research, Elsevier, vol. 284(1), pages 313-324.
    See citations under working paper version above.
  30. Tsionas, Mike G. & Assaf, A. George & Andrikopoulos, Athanasios, 2020. "Quantile stochastic frontier models with endogeneity," Economics Letters, Elsevier, vol. 188(C).

    Cited by:

    1. Bernstein, David H. & Parmeter, Christopher F. & Tsionas, Mike G., 2023. "On the performance of the United States nuclear power sector: A Bayesian approach," Energy Economics, Elsevier, vol. 125(C).
    2. Juan Cabas Monje & Bouali Guesmi & Amer Ait Sidhoum & José María Gil, 2023. "Measuring technical efficiency of Spanish pig farming: Quantile stochastic frontier approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 688-703, October.
    3. M.V. Leonov, 2021. "Review of Modern Approaches for Assessing the Effectiveness of Banking," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(2), pages 294-326.
    4. Michael L. Polemis & Mike G. Tsionas, 2023. "The environmental consequences of blockchain technology: A Bayesian quantile cointegration analysis for Bitcoin," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1602-1621, April.
    5. Alecos Papadopoulos, 2023. "The noise error component in stochastic frontier analysis," Empirical Economics, Springer, vol. 64(6), pages 2795-2829, June.
    6. Zhao, Shirong, 2021. "Quantile estimation of stochastic frontier models with the normal–half normal specification: A cumulative distribution function approach," Economics Letters, Elsevier, vol. 206(C).
    7. E. Fusco & R. Benedetti & F. Vidoli, 2023. "Stochastic frontier estimation through parametric modelling of quantile regression coefficients," Empirical Economics, Springer, vol. 64(2), pages 869-896, February.
    8. Jradi, Samah & Parmeter, Christopher F. & Ruggiero, John, 2021. "Quantile estimation of stochastic frontiers with the normal-exponential specification," European Journal of Operational Research, Elsevier, vol. 295(2), pages 475-483.
    9. Stead, Alexander D. & Wheat, Phill & Greene, William H., 2023. "Robust maximum likelihood estimation of stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 309(1), pages 188-201.
    10. Alecos Papadopoulos, 2024. "Some notes on the asymmetry of the regression error," Journal of Productivity Analysis, Springer, vol. 61(1), pages 37-42, February.
    11. Monje, Juan Cabas & Sidhoum, Amer Ait & Gil, Jose M., 2021. "Investigating Technical Efficiency of Spanish Pig Farming: A Quantile Regression Approach," 2021 Conference, August 17-31, 2021, Virtual 315196, International Association of Agricultural Economists.

  31. Ashok K Mishra & Anthony N Rezitis & Mike G Tsionas, 2020. "Production under input endogeneity and farm-specific risk aversion: evidence from contract farming and Bayesian method [Land tenure differences and investment in land improvement measures: theoreti," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(2), pages 591-618.

    Cited by:

    1. Rezitis, Anthony & Mishra, Ashok & Kumar, Shalander, . "Indians Demanding More Plant-Based Protein but Farmers' Profits Drop: Empirical Evidence to Understand the Dilemma," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 49(1).
    2. S. C. West & A. W. Mugera & R. S. Kingwell, 2022. "The choice of efficiency benchmarking metric in evaluating firm productivity and viability," Journal of Productivity Analysis, Springer, vol. 57(2), pages 193-211, April.
    3. Gouranga Das & Ranajoy Bhattacharyya & Sugata Marjit, 2023. "Contract Farming and Food Insecurity in an Open Competitive Economy: Growth, Distribution, and Government Policy," JRFM, MDPI, vol. 16(4), pages 1-26, April.

  32. Stephen G. Hall & Heather D. Gibson & G. S. Tavlas & Mike G. Tsionas, 2020. "A Monte Carlo Study of Time Varying Coefficient (TVC) Estimation," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 115-130, June.

    Cited by:

    1. Cristian Mardones & Darling Silva, 2023. "Evaluation of Non-survey Methods for the Construction of Regional Input–Output Matrices When There is Partial Historical Information," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 1173-1205, March.

  33. Tsionas, Mike G., 2020. "Quantile Stochastic Frontiers," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1177-1184.

    Cited by:

    1. Tsionas, Mike G. & Assaf, A. George & Andrikopoulos, Athanasios, 2020. "Quantile stochastic frontier models with endogeneity," Economics Letters, Elsevier, vol. 188(C).
    2. M.V. Leonov, 2021. "Review of Modern Approaches for Assessing the Effectiveness of Banking," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(2), pages 294-326.
    3. Michael L. Polemis & Mike G. Tsionas, 2023. "The environmental consequences of blockchain technology: A Bayesian quantile cointegration analysis for Bitcoin," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1602-1621, April.
    4. Alecos Papadopoulos, 2023. "The noise error component in stochastic frontier analysis," Empirical Economics, Springer, vol. 64(6), pages 2795-2829, June.
    5. Zhao, Shirong, 2021. "Quantile estimation of stochastic frontier models with the normal–half normal specification: A cumulative distribution function approach," Economics Letters, Elsevier, vol. 206(C).
    6. E. Fusco & R. Benedetti & F. Vidoli, 2023. "Stochastic frontier estimation through parametric modelling of quantile regression coefficients," Empirical Economics, Springer, vol. 64(2), pages 869-896, February.
    7. Jradi, Samah & Parmeter, Christopher F. & Ruggiero, John, 2021. "Quantile estimation of stochastic frontiers with the normal-exponential specification," European Journal of Operational Research, Elsevier, vol. 295(2), pages 475-483.
    8. Stead, Alexander D. & Wheat, Phill & Greene, William H., 2023. "Robust maximum likelihood estimation of stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 309(1), pages 188-201.
    9. Monje, Juan Cabas & Sidhoum, Amer Ait & Gil, Jose M., 2021. "Investigating Technical Efficiency of Spanish Pig Farming: A Quantile Regression Approach," 2021 Conference, August 17-31, 2021, Virtual 315196, International Association of Agricultural Economists.

  34. Wanke, Peter & Tsionas, Mike G. & Chen, Zhongfei & Moreira Antunes, Jorge Junio, 2020. "Dynamic network DEA and SFA models for accounting and financial indicators with an analysis of super-efficiency in stochastic frontiers: An efficiency comparison in OECD banking," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 456-468.

    Cited by:

    1. Sungmin Park & Pansoo Kim, 2021. "Operational Performance Evaluation of Korean Ship Parts Manufacturing Industry Using Dynamic Network SBM Model," Sustainability, MDPI, vol. 13(23), pages 1-20, November.
    2. Wen‐Min Lu & Qian Long Kweh & Irene Wei Kiong Ting & Chunya Ren, 2023. "How does stakeholder engagement through environmental, social, and governance affect eco‐efficiency and profitability efficiency? Zooming into Apple Inc.'s counterparts," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 587-601, January.
    3. Zhao, Pengjun & Zeng, Liangen & Li, Peilin & Lu, Haiyan & Hu, Haoyu & Li, Chengming & Zheng, Mengyuan & Li, Haitao & Yu, Zhao & Yuan, Dandan & Xie, Jinxin & Huang, Qi & Qi, Yuting, 2022. "China's transportation sector carbon dioxide emissions efficiency and its influencing factors based on the EBM DEA model with undesirable outputs and spatial Durbin model," Energy, Elsevier, vol. 238(PC).
    4. Jorge Antunes & Peter Wanke & Thiago Fonseca & Yong Tan, 2023. "Do ESG Risk Scores Influence Financial Distress? Evidence from a Dynamic NDEA Approach," Sustainability, MDPI, vol. 15(9), pages 1-32, May.
    5. Bin Liao & Lin Li, 2023. "Urban green innovation efficiency and its influential factors: the Chinese evidence," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6551-6573, July.
    6. Fang, Tao & Fang, Debin & Yu, Bolin, 2022. "Carbon emission efficiency of thermal power generation in China: Empirical evidence from the micro-perspective of power plants," Energy Policy, Elsevier, vol. 165(C).
    7. Qu, Jingjing & Wang, Baohui & Liu, Xiaohong, 2022. "A modified super-efficiency network data envelopment analysis: Assessing regional sustainability performance in China," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    8. Zhiwei Pan & Decai Tang & Haojia Kong & Junxia He, 2022. "An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model," IJERPH, MDPI, vol. 19(2), pages 1-15, January.
    9. Pooja Bansal & Aparna Mehra & Sunil Kumar, 2022. "Dynamic Metafrontier Malmquist–Luenberger Productivity Index in Network DEA: An Application to Banking Data," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 297-324, January.
    10. Ather Hassan Dar & Somesh Kumar Mathur & Sila Mishra, 2021. "The Efficiency of Indian Banks: A DEA, Malmquist and SFA Analysis with Bad Output," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 653-701, December.
    11. Yujing Liu & Dongxiao Niu, 2021. "Coupling and Coordination Analysis of Thermal Power Carbon Emission Efficiency under the Background of Clean Energy Substitution," Sustainability, MDPI, vol. 13(23), pages 1-17, November.

  35. Tsionas, Mike G., 2020. "A coherent approach to Bayesian Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 281(2), pages 439-448.

    Cited by:

    1. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    2. Doumpos, Michalis & Zopounidis, Constantin & Gounopoulos, Dimitrios & Platanakis, Emmanouil & Zhang, Wenke, 2023. "Operational research and artificial intelligence methods in banking," European Journal of Operational Research, Elsevier, vol. 306(1), pages 1-16.
    3. Tsionas, Mike G. & Andrikopoulos, Athanasios, 2020. "On a High-Dimensional Model Representation method based on Copulas," European Journal of Operational Research, Elsevier, vol. 284(3), pages 967-979.
    4. Tsionas, Mike G., 2021. "Optimal combinations of stochastic frontier and data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 294(2), pages 790-800.

  36. Spyros Makridakis & Andreas Merikas & Anna Merika & Mike G. Tsionas & Marwan Izzeldin, 2020. "A novel forecasting model for the Baltic dry index utilizing optimal squeezing," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 56-68, January.

    Cited by:

    1. Yilmazkuday, Hakan, 2022. "Coronavirus disease 2019 and the global economy," Transport Policy, Elsevier, vol. 120(C), pages 40-46.
    2. Md. Bokhtiar Hasan & Masnun Mahi & Tapan Sarker & Md. Ruhul Amin, 2021. "Spillovers of the COVID-19 Pandemic: Impact on Global Economic Activity, the Stock Market, and the Energy Sector," JRFM, MDPI, vol. 14(5), pages 1-18, May.
    3. Elie Bouri & Rangan Gupta & Luca Rossini, 2022. "The Role of the Monthly ENSO in Forecasting the Daily Baltic Dry Index," Working Papers 202229, University of Pretoria, Department of Economics.
    4. Hakan Yilmazkuday, 2021. "COVID-19 Effects on the S&P 500 Index," Working Papers 2117, Florida International University, Department of Economics.
    5. Ahundjanov, Behzod B. & Akhundjanov, Sherzod B. & Okhunjanov, Botir B., 2021. "Risk perception and oil and gasoline markets under COVID-19," Journal of Economics and Business, Elsevier, vol. 115(C).

  37. Kumbhakar, Subal C. & Tsionas, Mike G., 2020. "On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations," European Journal of Operational Research, Elsevier, vol. 287(2), pages 762-775.

    Cited by:

    1. Mike Tsionas & Mikael A. Martins & Almas Heshmati, 2023. "Effects of the vaccination and public support on covid-19 cases and number of deaths in Sweden," Operational Research, Springer, vol. 23(3), pages 1-28, September.
    2. Tsionas, Mike G. & Kumbhakar, Subal C., 2021. "Stochastic frontier models with time-varying conditional variances," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1115-1132.
    3. Liu, Tung, 2021. "Measuring cost inefficiency: A dual approach," Economic Modelling, Elsevier, vol. 99(C).
    4. Tsionas, Mike G., 2023. "Minimax regret priors for efficiency estimation," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1279-1285.
    5. Tsionas, Mike G., 2023. "Combining data envelopment analysis and stochastic frontiers via a LASSO prior," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1158-1166.
    6. Salem Gheit, 2022. "A Stochastic Frontier Analysis of the Human Capital Effects on the Manufacturing Industries’ Technical Efficiency in the United States," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 8(3), pages 215-238, July.
    7. Kumbhakar, Subal C. & Tsionas, Mike G., 2021. "Dissections of input and output efficiency: A generalized stochastic frontier model," International Journal of Production Economics, Elsevier, vol. 232(C).

  38. Ashok K. Mishra & Mike G. Tsionas, 2020. "A Minimax Regret Approach to Decision Making Under Uncertainty," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 698-718, September.

    Cited by:

    1. Rössert, Sebastian & Gosling, Elizabeth & Gandorfer, Markus & Knoke, Thomas, 2022. "Woodchips or potato chips? How enhancing soil carbon and reducing chemical inputs influence the allocation of cropland," Agricultural Systems, Elsevier, vol. 198(C).

  39. Topaloglou, Nikolas & Tsionas, Mike G., 2020. "Stochastic dominance tests," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).

    Cited by:

    1. Zhou, Zhongbao & Gao, Meng & Xiao, Helu & Wang, Rui & Liu, Wenbin, 2021. "Big data and portfolio optimization: A novel approach integrating DEA with multiple data sources," Omega, Elsevier, vol. 104(C).

  40. Panos Xidonas & Mike Tsionas & Constantin Zopounidis, 2020. "On mutual funds-of-ETFs asset allocation with rebalancing: sample covariance versus EWMA and GARCH," Annals of Operations Research, Springer, vol. 284(1), pages 469-482, January.
    See citations under working paper version above.
  41. Assaf, A. George & Bu, Ruijun & Tsionas, Mike G., 2020. "A Bayesian approach to continuous type principal-agent problems," European Journal of Operational Research, Elsevier, vol. 280(3), pages 1188-1192.

    Cited by:

    1. Kutlu, Levent & Mamatzakis, Emmanuel & Tsionas, Mike G., 2022. "A principal–agent approach for estimating firm efficiency: Revealing bank managerial behavior," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).

  42. Levent Kutlu & Kien C. Tran & Mike G. Tsionas, 2020. "Unknown latent structure and inefficiency in panel stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 54(1), pages 75-86, August.

    Cited by:

    1. Kutlu, Levent & Nair-Reichert, Usha, 2022. "Executive compensation and the potential for additional efficiency gains: Evidence from the Indian manufacturing sector," Economic Modelling, Elsevier, vol. 114(C).
    2. Levent Kutlu & Ran Wang, 2021. "Greenhouse Gas Emission Inefficiency Spillover Effects in European Countries," IJERPH, MDPI, vol. 18(9), pages 1-14, April.
    3. Levent Kutlu, 2020. "Greenhouse Gas Emission Efficiencies of World Countries," IJERPH, MDPI, vol. 17(23), pages 1-11, November.
    4. Marta Arbelo-Pérez & Yaiza Armas-Cruz & Antonio Arbelo, 2022. "Environmental strategy and firm performance: A new methodological proposal," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(8), pages 283-292.
    5. Alexander D. Stead & Phill Wheat & William H. Greene, 2023. "On hypothesis testing in latent class and finite mixture stochastic frontier models, with application to a contaminated normal-half normal model," Journal of Productivity Analysis, Springer, vol. 60(1), pages 37-48, August.

  43. Tziogkidis, Panagiotis & Philippas, Dionisis & Tsionas, Mike G., 2020. "Multidirectional conditional convergence in European banking," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 88-106.

    Cited by:

    1. Coccorese, Paolo & Girardone, Claudia & Shaffer, Sherrill, 2021. "What affects bank market power in the euro area? A country-level structural model approach," Journal of International Money and Finance, Elsevier, vol. 117(C).
    2. Ioanna Avgeri & Yiannis Dendramis & Helen Louri, 2020. "The Single Supervisory Mechanism and its implications for the profitability of European Banks," Working Papers 284, Bank of Greece.
    3. Merikas, Andreas & Merika, Anna & Penikas, Henry I. & Surkov, Mikhail A., 2020. "The Basel II internal ratings based (IRB) model and the transition impact on the listed Greek banks," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    4. J. David Cummins & María Rubio-Misas, 2022. "Integration and convergence in efficiency and technology gap of European life insurance markets," Annals of Operations Research, Springer, vol. 315(1), pages 93-119, August.
    5. David Cummins, J. & Rubio-Misas, María, 2021. "Country factor behavior for integration improvement of European life insurance markets," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 186-202.
    6. Mamatzakis, Emmanuel C. & Ongena, Steven & Tsionas, Mike G., 2021. "Does alternative finance moderate bank fragility? Evidence from the euro area," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    7. Yiru Jiang & Xinjun Wang, 2024. "Evaluation, Driving Mechanism and Spatial Correlation Analysis of Atmospheric Environmental Efficiency in the “2+26” Cities Based on the Nonradial MEA Model," Sustainability, MDPI, vol. 16(2), pages 1-23, January.

  44. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2020. "A spatial stochastic frontier model with endogenous frontier and environmental variables," European Journal of Operational Research, Elsevier, vol. 286(1), pages 389-399.

    Cited by:

    1. Levent Kutlu, 2022. "Spatial stochastic frontier model with endogenous weighting matrix," Empirical Economics, Springer, vol. 63(4), pages 1947-1968, October.
    2. Sadick Mohammed & Awudu Abdulai, 2022. "Do Egocentric information networks influence technical efficiency of farmers? Empirical evidence from Ghana," Journal of Productivity Analysis, Springer, vol. 58(2), pages 109-128, December.
    3. Hou, Zhezhi & Zhao, Shunan & Kumbhakar, Subal C., 2023. "The GMM estimation of semiparametric spatial stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1450-1464.
    4. Anthony J. Glass & Karligash Kenjegalieva, 2023. "Dynamic returns to scale and geography in U.S. banking," Papers in Regional Science, Wiley Blackwell, vol. 102(1), pages 53-85, February.
    5. Tran, Kien C. & Tsionas, Mike G. & Prokhorov, Artem B., 2023. "Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1189-1199.
    6. Mustafa U. Karakaplan & Levent Kutlu & Mike G. Tsionas, 2020. "A solution to log of dependent variables with negative observations," Journal of Productivity Analysis, Springer, vol. 54(2), pages 107-119, December.
    7. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
    8. Kutlu, Levent, 2023. "Calculating efficiency for spatial autoregressive stochastic frontier model," Economics Letters, Elsevier, vol. 225(C).
    9. Li, Mingyang & Jin, Man & Kumbhakar, Subal C., 2022. "Do subsidies increase firm productivity? Evidence from Chinese manufacturing enterprises," European Journal of Operational Research, Elsevier, vol. 303(1), pages 388-400.
    10. Vidoli, Francesco & Auteri, Monica & Marinuzzi, Giorgia & Tortorella, Walter, 2023. "Spatial interdependence in cost efficiency and local government optimal size: The case of Italian municipalities," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    11. D’Inverno, Giovanna & Vidoli, Francesco & De Witte, Kristof, 2023. "Sustainable budgeting and financial balance: Which lever will you pull?," European Journal of Operational Research, Elsevier, vol. 309(2), pages 857-871.
    12. Kerui Du & Luis Orea & Inmaculada C. Alvarez, 2023. "Fitting spatial stochastic frontier models in Stata," Efficiency Series Papers 2023/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    13. Kien C. Tran & Mike G. Tsionas, 2023. "Semiparametric estimation of a spatial autoregressive nonparametric stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-28, December.
    14. M.V. Leonov, 2021. "Review of Modern Approaches for Assessing the Effectiveness of Banking," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(2), pages 294-326.
    15. Lamees Al-Durgham & Mohammad Adeinat, 2020. "Efficiency of Listed Manufacturing Firms in Jordan: A Stochastic Frontier Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 5-9.
    16. Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.
    17. Hung-pin Lai & Kien C. Tran, 2022. "Persistent and transient inefficiency in a spatial autoregressive panel stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 58(1), pages 1-13, August.
    18. E. Fusco & R. Benedetti & F. Vidoli, 2023. "Stochastic frontier estimation through parametric modelling of quantile regression coefficients," Empirical Economics, Springer, vol. 64(2), pages 869-896, February.
    19. Carmelo Algeri & Luc Anselin & Antonio Fabio Forgione & Carlo Migliardo, 2022. "Spatial dependence in the technical efficiency of local banks," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 685-716, June.
    20. Emir Malikov & Jingfang Zhang & Shunan Zhao & Subal C. Kumbhakar, 2023. "Accounting for Cross-Location Technological Heterogeneity in the Measurement of Operations Efficiency and Productivity," Papers 2302.13430, arXiv.org.

  45. Delis, Manthos D. & Iosifidi, Maria & Tsionas, Mike, 2020. "Management estimation in banking," European Journal of Operational Research, Elsevier, vol. 284(1), pages 355-372.

    Cited by:

    1. Delis, Manthos D. & Kazakis, Pantelis & Zopounidis, Constantin, 2023. "Management and takeover decisions," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1256-1268.
    2. Manthos D. Delis & Pantelis Kazakis & Constantin Zopounidis, 2021. "Management Practices and Takeover Decisions," Working Papers 2021_10, Business School - Economics, University of Glasgow.
    3. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
    4. Korangi, Kamesh & Mues, Christophe & Bravo, Cristián, 2023. "A transformer-based model for default prediction in mid-cap corporate markets," European Journal of Operational Research, Elsevier, vol. 308(1), pages 306-320.
    5. Cristian Barra & Nazzareno Ruggiero, 2022. "Firm innovation and local bank efficiency in Italy: Does the type of bank matter?," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(4), pages 1083-1128, December.
    6. Delis, Manthos D. & Iosifidi, Maria & Kazakis, Pantelis & Ongena, Steven & Tsionas, Mike G., 2022. "Management practices and M&A success," Journal of Banking & Finance, Elsevier, vol. 134(C).
    7. Satyam Kumar & Yelleti Vivek & Vadlamani Ravi & Indranil Bose, 2023. "Causal Inference for Banking Finance and Insurance A Survey," Papers 2307.16427, arXiv.org.

  46. Mike G. Tsionas, 2020. "Remarks on Bank Competition and Convergence Dynamics," JRFM, MDPI, vol. 13(5), pages 1-5, May.

    Cited by:

    1. Maria Karadima & Helen Louri, 2020. "Reply to “Remarks on Bank Competition and Convergence Dynamics”," JRFM, MDPI, vol. 13(6), pages 1-6, June.

  47. Kien C. Tran & Mike G. Tsionas & Emmanuel Mamatzakis, 2020. "Why fully efficient banks matter? A nonparametric stochastic frontier approach in the presence of fully efficient banks," Empirical Economics, Springer, vol. 58(6), pages 2733-2760, June.

    Cited by:

    1. Kutlu, Levent & Mamatzakis, Emmanuel & Tsionas, Mike G., 2022. "A principal–agent approach for estimating firm efficiency: Revealing bank managerial behavior," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    2. Jéfferson Colombo & Peter Wanke & Jorge Antunes & Abul Kalam Azad, 2022. "Unveiling endogeneity between competition and efficiency in European banks: a robust econometric-neural network approach," SN Business & Economics, Springer, vol. 2(3), pages 1-46, March.

  48. Efthymios G. Tsionas & Kien C. Tran & Panayotis G. Michaelides, 2019. "Bayesian inference in threshold stochastic frontier models," Empirical Economics, Springer, vol. 56(2), pages 399-422, February.
    See citations under working paper version above.
  49. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2019. "A time-varying true individual effects model with endogenous regressors," Journal of Econometrics, Elsevier, vol. 211(2), pages 539-559.

    Cited by:

    1. Parmeter, Christopher F. & Simar, Léopold & Van Keilegom, Ingrid & Zelenyuk, Valentin, 2021. "Inference in the Nonparametric Stochastic Frontier Model," LIDAM Discussion Papers ISBA 2021029, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. Levent Kutlu, 2022. "Spatial stochastic frontier model with endogenous weighting matrix," Empirical Economics, Springer, vol. 63(4), pages 1947-1968, October.
    3. Guarini, Giulio & Laureti, Tiziana & Garofalo, Giuseppe, 2020. "Socio-institutional determinants of educational resource efficiency according to the capability approach: An endogenous stochastic frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    4. Kassouri, Yacouba & Altıntaş, Halil, 2021. "Cyclical drivers of fiscal policy in sub-Saharan Africa: New insights from the time-varying heterogeneity approach," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 51-67.
    5. Bernini, Cristina & Galli, Federica, 2023. "Innovation, productivity and spillover effects in the Italian accommodation industry," Economic Modelling, Elsevier, vol. 119(C).
    6. Chen, Bowen & Dennis, Elliott J. & Featherstone, Allen, 2022. "Weather Impacts the Agricultural Production Efficiency of Wheat: The Emerging Role of Precipitation Shocks," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(3), September.
    7. Tran, Kien C. & Tsionas, Mike G. & Prokhorov, Artem B., 2023. "Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1189-1199.
    8. Mustafa U. Karakaplan & Levent Kutlu & Mike G. Tsionas, 2020. "A solution to log of dependent variables with negative observations," Journal of Productivity Analysis, Springer, vol. 54(2), pages 107-119, December.
    9. Levent Kutlu & Robin C. Sickles & Mike G. Tsionas & Emmanuel Mamatzakis, 2022. "Heterogeneous decision-making and market power: an application to Eurozone banks," Empirical Economics, Springer, vol. 63(6), pages 3061-3092, December.
    10. Levent Kutlu, 2020. "Greenhouse Gas Emission Efficiencies of World Countries," IJERPH, MDPI, vol. 17(23), pages 1-11, November.
    11. Enrique J. Buch‐Gómez & Roberto Cabaleiro‐Casal, 2020. "Turnout, political strength, and cost efficiency in Spanish municipalities of the autonomous region of Galicia: Evidence from an alternative stochastic frontier approach," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 533-553, June.
    12. Bernhard Dalheimer & Christoph Kubitza & Bernhard Brümmer, 2022. "Technical efficiency and farmland expansion: Evidence from oil palm smallholders in Indonesia," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1364-1387, August.
    13. Kutlu, Levent, 2023. "Calculating efficiency for spatial autoregressive stochastic frontier model," Economics Letters, Elsevier, vol. 225(C).
    14. Silvio Daidone & Francisco Pereira Fontes, 2023. "The role of social protection in mitigating the effects of rainfall shocks. Evidence from Ethiopia," Journal of Productivity Analysis, Springer, vol. 60(3), pages 315-332, December.
    15. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2020. "A spatial stochastic frontier model with endogenous frontier and environmental variables," European Journal of Operational Research, Elsevier, vol. 286(1), pages 389-399.
    16. Lin, Winston T. & Chen, Yueh H. & Chou, Chia-Ching, 2021. "Assessing the business values of e-commerce and information technology separately and jointly and their impacts upon US firms' performance as measured by productive efficiency," International Journal of Production Economics, Elsevier, vol. 241(C).
    17. Martin Bugaj & Pavol Durana & Roman Blazek & Jakub Horak, 2023. "Industry 4.0: Marvels in Profitability in the Transport Sector," Mathematics, MDPI, vol. 11(17), pages 1-23, August.
    18. Centorrino, Samuele & Pérez-Urdiales, María & Bravo-Ureta, Boris & Wall, Alan, 2022. "Binary endogenous treatment in stochastic frontier models with an application to soil conservation in El Salvador," Efficiency Series Papers 2022/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    19. Kien C. Tran & Mike G. Tsionas, 2023. "Semiparametric estimation of a spatial autoregressive nonparametric stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-28, December.
    20. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
    21. Richard Adjei Dwumfour & Eric Fosu Oteng-Abayie & Emmanuel Kwasi Mensah, 2022. "Bank efficiency and the bank lending channel: new evidence," Empirical Economics, Springer, vol. 63(3), pages 1489-1542, September.
    22. Levent Kutlu & Kien C. Tran & Mike G. Tsionas, 2020. "Unknown latent structure and inefficiency in panel stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 54(1), pages 75-86, August.
    23. Levent Kutlu, 2023. "An econometric modeling of price support: The Bitcoin case," Economics Bulletin, AccessEcon, vol. 43(4), pages 1548-1554.

  50. Tsionas, Mike G. & Mallick, Sushanta K., 2019. "A Bayesian semiparametric approach to stochastic frontiers and productivity," European Journal of Operational Research, Elsevier, vol. 274(1), pages 391-402.

    Cited by:

    1. Matthews, Kent & Xiao, Zhiguo, 2020. "Rational cost inefficiency and convergence in Chinese banks," Economic Modelling, Elsevier, vol. 91(C), pages 696-704.
    2. Jingfang Zhang & Emir Malikov, 2023. "Detecting Learning by Exporting and from Exporters," Papers 2302.13427, arXiv.org.
    3. Ben Lahouel, Béchir & Taleb, Lotfi & Ben Zaied, Younes & Managi, Shunsuke, 2022. "Does primary stakeholder management improve competitiveness? A dynamic network non-parametric frontier approach," Economic Modelling, Elsevier, vol. 116(C).
    4. Hou, Zhezhi & Jin, Man & Kumbhakar, Subal C., 2020. "Productivity spillovers and human capital: A semiparametric varying coefficient approach," European Journal of Operational Research, Elsevier, vol. 287(1), pages 317-330.
    5. Liu, Tung, 2021. "Measuring cost inefficiency: A dual approach," Economic Modelling, Elsevier, vol. 99(C).
    6. Bernini, Cristina & Galli, Federica, 2023. "Innovation, productivity and spillover effects in the Italian accommodation industry," Economic Modelling, Elsevier, vol. 119(C).
    7. Rawat, Pankaj S. & Sharma, Seema, 2021. "TFP growth, technical efficiency and catch-up dynamics: Evidence from Indian manufacturing," Economic Modelling, Elsevier, vol. 103(C).
    8. Li, Mingyang & Jin, Man & Kumbhakar, Subal C., 2022. "Do subsidies increase firm productivity? Evidence from Chinese manufacturing enterprises," European Journal of Operational Research, Elsevier, vol. 303(1), pages 388-400.
    9. Zhang, Cheng & Yao, Yangyang & Zhou, Han, 2023. "External technology dependence and manufacturing TFP: Evidence from China," Research in International Business and Finance, Elsevier, vol. 64(C).
    10. Bojaj, Martin M. & Muhadinovic, Milica & Bracanovic, Andrej & Mihailovic, Andrej & Radulovic, Mladen & Jolicic, Ivan & Milosevic, Igor & Milacic, Veselin, 2022. "Forecasting macroeconomic effects of stablecoin adoption: A Bayesian approach," Economic Modelling, Elsevier, vol. 109(C).
    11. Tsionas, Mike G. & Andrikopoulos, Athanasios, 2020. "On a High-Dimensional Model Representation method based on Copulas," European Journal of Operational Research, Elsevier, vol. 284(3), pages 967-979.
    12. Peng, Jiaying & Xie, Rui & Ma, Chunbo & Fu, Yang, 2021. "Market-based environmental regulation and total factor productivity: Evidence from Chinese enterprises," Economic Modelling, Elsevier, vol. 95(C), pages 394-407.
    13. Li, Huijuan & Cai, Weihong & Li, Wenxiu, 2021. "Does global value chains participation improve skill premium? Mediating role of skill-biased technological change," Economic Modelling, Elsevier, vol. 99(C).
    14. Nikolaos Englezos & Xanthi Kartala & Phoebe Koundouri & Mike Tsionas & Angelos Alamanos, 2021. "A Novel Hydro - Economic - Econometric Approach for Integrated Transboundary Water Management under Uncertainty," DEOS Working Papers 2101, Athens University of Economics and Business.
    15. Michael L. Polemis & Mike G. Tsionas, 2022. "Endogenous productivity: a new Bayesian perspective," Annals of Operations Research, Springer, vol. 318(1), pages 425-451, November.
    16. Glass, Anthony J. & Kenjegalieva, Karligash & Douch, Mustapha, 2020. "Uncovering spatial productivity centers using asymmetric bidirectional spillovers," European Journal of Operational Research, Elsevier, vol. 285(2), pages 767-788.
    17. Guangming Rao & Bin Su & Jinlian Li & Yong Wang & Yanhua Zhou & Zhaolin Wang, 2019. "Carbon Sequestration Total Factor Productivity Growth and Decomposition: A Case of the Yangtze River Economic Belt of China," Sustainability, MDPI, vol. 11(23), pages 1-28, November.
    18. Kumbhakar, Subal C. & Li, Mingyang & Lien, Gudbrand, 2023. "Do subsidies matter in productivity and profitability changes?," Economic Modelling, Elsevier, vol. 123(C).

  51. Marwan Izzeldin & M. Kabir Hassan & Vasileios Pappas & Mike Tsionas, 2019. "Forecasting realised volatility using ARFIMA and HAR models," Quantitative Finance, Taylor & Francis Journals, vol. 19(10), pages 1627-1638, October.

    Cited by:

    1. Alessio Brini & Giacomo Toscano, 2024. "SpotV2Net: Multivariate Intraday Spot Volatility Forecasting via Vol-of-Vol-Informed Graph Attention Networks," Papers 2401.06249, arXiv.org.
    2. Chao Zhang & Yihuang Zhang & Mihai Cucuringu & Zhongmin Qian, 2022. "Volatility forecasting with machine learning and intraday commonality," Papers 2202.08962, arXiv.org, revised Feb 2023.
    3. Verena Monschang & Bernd Wilfling, 2022. "A procedure for upgrading linear-convex combination forecasts with an application to volatility prediction," CQE Working Papers 9722, Center for Quantitative Economics (CQE), University of Muenster.
    4. Reschenhofer, Erhard & Mangat, Manveer Kaur & Stark, Thomas, 2020. "Volatility forecasts, proxies and loss functions," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 133-153.
    5. Damian Kisiel & Denise Gorse, 2021. "A Meta-Method for Portfolio Management Using Machine Learning for Adaptive Strategy Selection," Papers 2111.05935, arXiv.org.

  52. Dimitrios Anastasiou & Helen Louri & Mike Tsionas, 2019. "Nonperforming loans in the euro area: Are core–periphery banking markets fragmented?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 97-112, January.
    See citations under working paper version above.
  53. Ashok K. Mishra & Anthony N. Rezitis & Mike G. Tsionas, 2019. "Estimating Technical Efficiency and Production Risk under Contract Farming: A Bayesian Estimation and Stochastic Dominance Methodology," Journal of Agricultural Economics, Wiley Blackwell, vol. 70(2), pages 353-371, June.

    Cited by:

    1. Rabia Mazhar & Bi Xuehao & Thomas Dogot & Rytis Skominas & Vjekoslav Tanaskovik & Hossein Azadi & Zou Wei, 2022. "Contract Farming and Technical Efficiency: A Case of Export-Oriented Organic Rice Farmers in Pakistan," Land, MDPI, vol. 11(11), pages 1-16, November.
    2. Zhanwen Shi & Erbao Cao, 2020. "Contract farming problems and games under yield uncertainty," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1210-1238, October.
    3. Muhamad Zahid Muhamad & Mad Nasir Shamsudin & Nitty Hirawaty Kamarulzaman & Nolila Mohd Nawi & Jamaliah Laham, 2022. "Investigating Yield Variability and Technical Efficiency of Smallholders Pineapple Production in Johor," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    4. Zhanwen Shi & Erbao Cao, 2021. "Risk pooling cooperative games in contract farming," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(1), pages 117-139, March.
    5. S. C. West & A. W. Mugera & R. S. Kingwell, 2022. "The choice of efficiency benchmarking metric in evaluating firm productivity and viability," Journal of Productivity Analysis, Springer, vol. 57(2), pages 193-211, April.
    6. Lien, Gudbrand & Kumbhakar, Subal C. & Mishra, Ashok K. & Hardaker, J. Brian, 2022. "Does risk management affect productivity of organic rice farmers in India? Evidence from a semiparametric production model," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1392-1402.

  54. Tsionas, Mike G., 2019. "Multi-objective optimization using statistical models," European Journal of Operational Research, Elsevier, vol. 276(1), pages 364-378.

    Cited by:

    1. Duro, João A. & Ozturk, Umud Esat & Oara, Daniel C. & Salomon, Shaul & Lygoe, Robert J. & Burke, Richard & Purshouse, Robin C., 2023. "Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem," European Journal of Operational Research, Elsevier, vol. 307(1), pages 421-446.
    2. Hocine, Amin & Zhuang, Zheng-Yun & Kouaissah, Noureddine & Li, Der-Chiang, 2020. "Weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) for supporting renewable energy site selection decisions," European Journal of Operational Research, Elsevier, vol. 285(2), pages 642-654.
    3. Sadeghi, Mohammad & Yaghoubi, Saeed, 2024. "Optimization models for cloud seeding network design and operations," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1146-1167.
    4. Lijun Song & Jing Shi & Anda Pan & Jie Yang & Jun Xie, 2020. "A Dynamic Multi-Swarm Particle Swarm Optimizer for Multi-Objective Optimization of Machining Operations Considering Efficiency and Energy Consumption," Energies, MDPI, vol. 13(10), pages 1-18, May.
    5. Peter Shobayo & Edwin van Hassel & Thierry Vanelslander, 2023. "Logistical Assessment of Deep-Sea Polymetallic Nodules Transport from an Offshore to an Onshore Location Using a Multiobjective Optimization Approach," Sustainability, MDPI, vol. 15(14), pages 1-23, July.
    6. Ma, Xuemin & Yang, Jingming & Sun, Hao & Hu, Ziyu & Wei, Lixin, 2021. "Feature information prediction algorithm for dynamic multi-objective optimization problems," European Journal of Operational Research, Elsevier, vol. 295(3), pages 965-981.
    7. Mila Bravo & Dylan Jones & David Pla-Santamaria & Francisco Salas-Molina, 2022. "Encompassing statistically unquantifiable randomness in goal programming: an application to portfolio selection," Operational Research, Springer, vol. 22(5), pages 5685-5706, November.

  55. Dimitrakopoulos, Stefanos & Tsionas, Mike, 2019. "Ordinal-response GARCH models for transaction data: A forecasting exercise," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1273-1287.

    Cited by:

    1. Dimitrakopoulos, Stefanos & Tsionas, Mike G. & Aknouche, Abdelhakim, 2020. "Ordinal-response models for irregularly spaced transactions: A forecasting exercise," MPRA Paper 103250, University Library of Munich, Germany, revised 01 Oct 2020.

  56. Dellaportas, Petros & Tsionas, Mike G., 2019. "Importance sampling from posterior distributions using copula-like approximations," Journal of Econometrics, Elsevier, vol. 210(1), pages 45-57.

    Cited by:

    1. Tsionas, Mike G. & Andrikopoulos, Athanasios, 2020. "On a High-Dimensional Model Representation method based on Copulas," European Journal of Operational Research, Elsevier, vol. 284(3), pages 967-979.

  57. Anna Merika & Andreas Merikas & Mike Tsionas & Andreas Andrikopoulos, 2019. "Exploring vessel-price dynamics: the case of the dry bulk market," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(3), pages 309-329, April.

    Cited by:

    1. Fan, Lixian & Gu, Bingmei & Yin, Jingbo, 2021. "Investment incentive analysis for second-hand vessels," Transport Policy, Elsevier, vol. 106(C), pages 215-225.
    2. Theodore Syriopoulos & Michael Tsatsaronis & Ioannis Karamanos, 2021. "Support Vector Machine Algorithms: An Application to Ship Price Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 55-87, January.
    3. Li, Zhi-Chun & Wang, Mei-Ru & Fu, Xiaowen, 2021. "Strategic planning of inland river ports under different market structures: Coordinated vs. independent operating regime," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    4. Angelopoulos, Jason & Sahoo, Satya & Visvikis, Ilias D., 2020. "Commodity and transportation economic market interactions revisited: New evidence from a dynamic factor model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    5. Jeroen F. J. Pruyn, 2020. "Benchmarking bulkers delivered between 2010 and 2016, identifying the effect of the EEDI introduction," Journal of Shipping and Trade, Springer, vol. 5(1), pages 1-18, December.

  58. Konstantakopoulou, Ioanna & Tsionas, Mike G., 2019. "Measuring comparative advantages in the Euro Area," Economic Modelling, Elsevier, vol. 76(C), pages 260-269.

    Cited by:

    1. Thiago Christiano Silva & Benjamin Miranda Tabak, 2019. "Growth and Activity Diversification: the impact of financing non-traditional local activities," Working Papers Series 498, Central Bank of Brazil, Research Department.
    2. Ioanna Konstantakopoulou & Mike Tsionas, 2024. "Identifying Export Opportunities: Empirical Evidence from the Southern Euro Area Countries," Open Economies Review, Springer, vol. 35(1), pages 41-70, February.

  59. Michael L. Polemis & Mike G. Tsionas, 2019. "Bayesian nonlinear panel cointegration: an empirical application to the EKC hypothesis," Letters in Spatial and Resource Sciences, Springer, vol. 12(2), pages 113-120, August.

    Cited by:

    1. Agiropoulos, Charalampos & Karkalakos, Sotiris & Polemis, Michael, 2019. "Revisiting the finance-growth nexus: A socioeconomic approach," MPRA Paper 95209, University Library of Munich, Germany.

  60. Assaf, A. George & Berger, Allen N. & Roman, Raluca A. & Tsionas, Mike G., 2019. "Does efficiency help banks survive and thrive during financial crises?," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 445-470.

    Cited by:

    1. Berger,Allen N.,Demirguc-Kunt,Asli, 2021. "Banking Research in the Time of COVID-19," Policy Research Working Paper Series 9782, The World Bank.
    2. Abedifar, Pejman & Bouslah, Kais & Qamhieh Hashem, Shatha & Song, Liang, 2020. "How informative are stock prices of Islamic Banks?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 66(C).
    3. Igan, Deniz & Mirzaei, Ali & Moore, Tomoe, 2023. "Does macroprudential policy alleviate the adverse impact of COVID-19 on the resilience of banks?," Journal of Banking & Finance, Elsevier, vol. 147(C).
    4. Phung, Quang Thanh & Van Vu, Huong & Tran, Huy Phuoc, 2022. "Do non-performing loans impact bank efficiency?," Finance Research Letters, Elsevier, vol. 46(PB).
    5. Mohamed Albaity & Ray Saadaoui Mallek & Hasan Mustafa, 2022. "Bank Stock Return Reactions to the COVID-19 Pandemic: The Role of Investor Sentiment in MENA Countries," Risks, MDPI, vol. 10(2), pages 1-15, February.
    6. Sabri Boubaker & Duc Trung Do & Helmi Hammami & Kim Cuong Ly, 2022. "The role of bank affiliation in bank efficiency: a fuzzy multi-objective data envelopment analysis approach," Post-Print hal-03699984, HAL.
    7. Francis Osei-Tutu, 2022. "High Corruption, Less Bank Efficiency?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 64(3), pages 540-561, September.
    8. Anagnostopoulos, Yiannis & Husa, Kjetil A. & Noikokyris, Emmanouil, 2022. "A three-phase comparative efficiency analysis of US and EU banks," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 113-127.
    9. Jin, Yi & Gao, Xin & Li, Donghui, 2022. "The effect of individualism on bank risk and bank Performance: An international study," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    10. Koresh Galil & Margalit Samuel & Offer Moshe Shapir & Wolf Wagner, 2023. "Bailouts and the modeling of bank distress," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(1), pages 7-30, February.
    11. Zhiyong Li & Chen Feng & Ying Tang, 2022. "Bank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis," Annals of Operations Research, Springer, vol. 315(1), pages 279-315, August.
    12. Matabaro Borauzima, Luc & Niyondiko, Dominique & Muller, Aline, 2021. "Does cross-border banking enhance competition and cost efficiency? Evidence from Africa," Journal of Multinational Financial Management, Elsevier, vol. 62(C).
    13. Bekirova, Olga & Zubarev, Andrey, 2022. "Факторы Риска, Прибыльности И Вероятности Дефолта В Российском Банковском Секторе [Determinants of risk, profitability and probability of default for Russian banking sector]," MPRA Paper 115164, University Library of Munich, Germany.
    14. Osei-Tutu, Francis & Weill, Laurent, 2022. "Bank efficiency and access to credit: International evidence," Economic Systems, Elsevier, vol. 46(3).
    15. Badunenko, Oleg & Kumbhakar, Subal C. & Lozano‐Vivas, Ana, 2021. "Achieving a sustainable cost-efficient business model in banking: The case of European commercial banks," European Journal of Operational Research, Elsevier, vol. 293(2), pages 773-785.
    16. Malliaris, Steven & Malliaris, A.G., 2021. "Delegated asset management and performance when some investors are unsophisticated," Journal of Banking & Finance, Elsevier, vol. 133(C).
    17. El Moussawi, Chawki & Mansour, Rana, 2022. "Competition, cost efficiency and stability of banks in the MENA region," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 143-170.
    18. Le, Huong Nguyen Quynh & Nguyen, Thai Vu Hong & Schinckus, Christophe, 2022. "The role of strategic interactions in risk-taking behavior: A study from asset growth perspective," International Review of Financial Analysis, Elsevier, vol. 82(C).
    19. Mamatzakis, Emmanuel C. & Ongena, Steven & Tsionas, Mike G., 2021. "Does alternative finance moderate bank fragility? Evidence from the euro area," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    20. Ozili, Peterson K, 2023. "Why strong banks fail," MPRA Paper 116984, University Library of Munich, Germany.
    21. Duan, Yuejiao & Fan, Xiaoyun & Li, Xinming & Rong, Yuhao & Shi, Benye, 2021. "Do efficient banks create more liquidity: international evidence," Finance Research Letters, Elsevier, vol. 42(C).
    22. Matabaro Borauzima, Luc & Muller, Aline, 2023. "Bank risk-taking and competition in developing banking markets: Does efficiency level matter? Evidence from Africa," Emerging Markets Review, Elsevier, vol. 55(C).
    23. Y. Sree Rama Murthy & Saeed Al-Muharrami, 2020. "Credit Rating Strategies: A Study of GCC Banks," SAGE Open, , vol. 10(4), pages 21582440209, December.
    24. Malliaris, Steven & Malliaris, A.G., 2022. "Reprint of: Delegated asset management and performance when some investors are unsophisticated," Journal of Banking & Finance, Elsevier, vol. 140(C).
    25. Brianzoni, Serena & Campisi, Giovanni & Colasante, Annarita, 2022. "Nonlinear banking duopoly model with capital regulation: The case of Italy," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    26. Chen, Minghua & Kang, Qiaoling & Wu, Ji & Jeon, Bang Nam, 2022. "Do macroprudential policies affect bank efficiency? Evidence from emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    27. Bekirova, Olga & Zubarev, Andrey, 2023. "Determinants of risk, profitability and default probability of Russian banks," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 71, pages 20-38.

  61. Tsionas, Mike G. & Polemis, Michael L., 2019. "On the estimation of total factor productivity: A novel Bayesian non-parametric approach," European Journal of Operational Research, Elsevier, vol. 277(3), pages 886-902.

    Cited by:

    1. Michael L. Polemis, 2020. "A note on the estimation of competition-productivity nexus: a panel quantile approach," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 663-676, December.
    2. Hou, Zhezhi & Jin, Man & Kumbhakar, Subal C., 2020. "Productivity spillovers and human capital: A semiparametric varying coefficient approach," European Journal of Operational Research, Elsevier, vol. 287(1), pages 317-330.
    3. Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
    4. Li, Mingyang & Jin, Man & Kumbhakar, Subal C., 2022. "Do subsidies increase firm productivity? Evidence from Chinese manufacturing enterprises," European Journal of Operational Research, Elsevier, vol. 303(1), pages 388-400.
    5. Michael L. Polemis & Mike G. Tsionas, 2022. "Endogenous productivity: a new Bayesian perspective," Annals of Operations Research, Springer, vol. 318(1), pages 425-451, November.

  62. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.

    Cited by:

    1. Assaf, A. George & Tsionas, Mike & Kock, Florian & Josiassen, Alexander, 2021. "A Bayesian non-parametric stochastic frontier model," Annals of Tourism Research, Elsevier, vol. 87(C).
    2. Wu, Yueh-Cheng & Lin, Sheng-Wei, 2022. "Efficiency evaluation of Asia's cultural tourism using a dynamic DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    3. Liudan Wu & Lili Hao & Lingzhi Wu & Ruize Gao & Ji Chen, 2023. "Assessing the Inbound Tourism Efficiency of European Countries in China: 2006-2019," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(63), pages 625-625, April.
    4. Francisca J. Sánchez-Sánchez & Ana M. Sánchez-Sánchez, 2024. "Evaluating the efficiency and determinants of mass tourism in Spain: a tourist area perspective," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(1), pages 111-145, January.
    5. Corne, Aurélie & Peypoch, Nicolas, 2020. "On the determinants of tourism performance," Annals of Tourism Research, Elsevier, vol. 85(C).
    6. Antonio Arbelo & Marta Arbelo-Pérez & Pilar Pérez-Gómez, 2022. "Are SMEs less efficient? A Bayesian approach to addressing heterogeneity across firms," Small Business Economics, Springer, vol. 58(4), pages 1915-1929, April.

  63. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N. & Xidonas, Panos, 2019. "The impact of market competition on CEO salary in the US energy sector1," Energy Policy, Elsevier, vol. 132(C), pages 32-37.

    Cited by:

    1. Riaqa Mubeen & Dongping Han & Jaffar Abbas & Iftikhar Hussain, 2020. "The Effects of Market Competition, Capital Structure, and CEO Duality on Firm Performance: A Mediation Analysis by Incorporating the GMM Model Technique," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    2. Halkos, George, 2020. "Examining the level of competition in the energy sector," MPRA Paper 98343, University Library of Munich, Germany.
    3. Yu-Ling Hsiao, Cody & Wei, Xinyang & Sheng, Ni & Shao, Chengwu, 2021. "A joint test of policy contagion with application to the solar sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).

  64. Marwan Izzeldin & Mike G. Tsionas & Panayotis G. Michaelides, 2019. "Multivariate stochastic volatility with large and moderate shocks," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(3), pages 887-917, June.

    Cited by:

    1. Xianfei Hui & Baiqing Sun & Hui Jiang & Yan Zhou, 2022. "Modeling dynamic volatility under uncertain environment with fuzziness and randomness," Papers 2204.12657, arXiv.org, revised Oct 2022.

  65. Rezitis, Anthony N. & Tsionas, Mike, 2019. "Modeling asymmetric price transmission in the European food market," Economic Modelling, Elsevier, vol. 76(C), pages 216-230.

    Cited by:

    1. Ahmad Ridha & Raja Masbar & Aliasuddin Aliasuddin & Vivi Silvia, 2022. "Asymmetric Price Transmission in the Cocoa Supply Chain in Indonesia," Economia agro-alimentare, FrancoAngeli Editore, vol. 24(1), pages 1-21.
    2. Jin Guo & Tetsuji Tanaka, 2020. "Dynamic Transmissions and Volatility Spillovers between Global Price and U.S. Producer Price in Agricultural Markets," JRFM, MDPI, vol. 13(4), pages 1-20, April.
    3. Roel Jongeneel & Ana Gonzalez-Martinez, 2022. "EU Dairy after the Quota Abolition: Inelastic Asymmetric Price Responsiveness and Adverse Milk Supply during Crisis Time," Agriculture, MDPI, vol. 12(12), pages 1-16, November.
    4. Marwa Ben Abdallah & Maria Fekete Farkas & Zoltan Lakner, 2020. "Analysis of Dairy Product Price Transmission in Hungary: A Nonlinear ARDL Model," Agriculture, MDPI, vol. 10(6), pages 1-14, June.
    5. Arida, Agustina & Masbar, Raja & Majid, M. Shabri Abd. & Indra, I., 2023. "Does vertical asymmetric price transmission exist in the rice markets?," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(1), March.
    6. Panagiotou, Dimitrios, 2021. "Asymmetric price responses of the US pork retail prices to farm and wholesale price shocks: A nonlinear ARDL approach," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
    7. Ridha, Ahmad & Masbar, Raja & Aliasuddin & Silvia, Vivi, 2022. "Asymmetric Price Transmission in the Cocoa Supply Chain in Indonesia," Economia agro-alimentare / Food Economy, Italian Society of Agri-food Economics/Società Italiana di Economia Agro-Alimentare (SIEA), vol. 24(1), May.
    8. Szőke, Tamás & Hortay, Olivér & Balogh, Eszter, 2019. "Asymmetric price transmission in the Hungarian retail electricity market," Energy Policy, Elsevier, vol. 133(C).
    9. Omid Zamani & Thomas Bittmann & Jens‐Peter Loy, 2022. "The role of temperature for seasonal market integration: a case study of poultry in Iran," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(1), pages 187-215, January.
    10. Luca Cattivelli & Federico Antonioli, 2023. "When cointegration is interrupted: Price transmission analysis in the Italian dairy‐feed industry," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 744-761, July.

  66. Assaf, A. George & Tsionas, Mike G., 2019. "Forecasting occupancy rate with Bayesian compression methods," Annals of Tourism Research, Elsevier, vol. 75(C), pages 439-449.

    Cited by:

    1. Tianxiang Zheng & Shaopeng Liu & Zini Chen & Yuhan Qiao & Rob Law, 2020. "Forecasting Daily Room Rates on the Basis of an LSTM Model in Difficult Times of Hong Kong: Evidence from Online Distribution Channels on the Hotel Industry," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
    2. Fatemeh Binesh & Amanda Belarmino & Carola Raab, 2021. "A meta-analysis of hotel revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(5), pages 546-558, October.
    3. Zheng, Weimin & Huang, Liyao & Lin, Zhibin, 2021. "Multi-attraction, hourly tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 90(C).
    4. Tsionas, Mike G. & Assaf, A. George, 2021. "Compression in stochastic frontier models," Annals of Tourism Research, Elsevier, vol. 88(C).
    5. Lingyu, Tang & Jun, Wang & Chunyu, Zhao, 2021. "Mode decomposition method integrating mode reconstruction, feature extraction, and ELM for tourist arrival forecasting," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).

  67. Tsionas, Mike G. & Mamatzakis, Emmanuel, 2019. "Further results on estimating inefficiency effects in stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1157-1164.

    Cited by:

    1. Caroline Khan & Mike G. Tsionas, 2021. "Constraints in models of production and cost via slack-based measures," Empirical Economics, Springer, vol. 61(6), pages 3347-3374, December.
    2. Kumbhakar, Subal C. & Tsionas, Mike G., 2020. "On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations," European Journal of Operational Research, Elsevier, vol. 287(2), pages 762-775.
    3. Valentin Zelenyuk & Valentyn Panchenko, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP022023, School of Economics, University of Queensland, Australia.
    4. Mamatzakis, Emmanuel & Bagntasarian, Anna, 2019. "The nexus between underlying dynamics of bank capital buffer and performance," MPRA Paper 92961, University Library of Munich, Germany.
    5. Tsionas, Mike G., 2023. "Combining data envelopment analysis and stochastic frontiers via a LASSO prior," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1158-1166.
    6. Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.
    7. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021. "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP082021, School of Economics, University of Queensland, Australia.
    8. Nikolaos Englezos & Xanthi Kartala & Phoebe Koundouri & Mike Tsionas & Angelos Alamanos, 2021. "A Novel Hydro - Economic - Econometric Approach for Integrated Transboundary Water Management under Uncertainty," DEOS Working Papers 2101, Athens University of Economics and Business.
    9. Tsionas, Mike G., 2024. "A generalized inefficiency model with input and output dependence," European Journal of Operational Research, Elsevier, vol. 312(1), pages 315-323.
    10. Mamatzakis, Emmanuel & matousek, roman & vu, anh, 2019. "The interplay between problem loans and Japanese bank productivity," MPRA Paper 92960, University Library of Munich, Germany.
    11. Tsionas, Mike G. & Patel, Pankaj C., 2023. "Accounting for intra-industry technological heterogeneity in the measurement of operations efficiency," International Journal of Production Economics, Elsevier, vol. 260(C).

  68. Tsionas, Mike G., 2018. "Bayesian local influence analysis: With an application to stochastic frontiers," Economics Letters, Elsevier, vol. 165(C), pages 54-57.

    Cited by:

    1. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.

  69. Nicholas Baltas & Mike G. Tsionas & Konstantinos Baltas, 2018. "Foreign direct investment in OECD countries: a special focus in the case of Greece," Applied Economics, Taylor & Francis Journals, vol. 50(52), pages 5579-5591, November.

    Cited by:

    1. Zhang, Hongxia & Kim, Heeho, 2022. "Institutional quality and FDI location: A threshold model," Economic Modelling, Elsevier, vol. 114(C).

  70. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "A novel model of costly technical efficiency," European Journal of Operational Research, Elsevier, vol. 268(2), pages 653-664.

    Cited by:

    1. Matthews, Kent & Xiao, Zhiguo, 2020. "Rational cost inefficiency and convergence in Chinese banks," Economic Modelling, Elsevier, vol. 91(C), pages 696-704.
    2. Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2019. "Endogenous Dynamic Efficiency in the Intertemporal Optimization Models of Firm Behavior," MPRA Paper 97780, University Library of Munich, Germany.
    3. Tsionas, Mike G. & Andrikopoulos, Athanasios, 2020. "On a High-Dimensional Model Representation method based on Copulas," European Journal of Operational Research, Elsevier, vol. 284(3), pages 967-979.
    4. Tsionas, Mike G. & Polemis, Michael L., 2019. "On the estimation of total factor productivity: A novel Bayesian non-parametric approach," European Journal of Operational Research, Elsevier, vol. 277(3), pages 886-902.

  71. Delis, Manthos D. & Tsionas, Mike G., 2018. "Measuring management practices," International Journal of Production Economics, Elsevier, vol. 199(C), pages 65-77.

    Cited by:

    1. Iosifidi, Maria & Panopoulou, Ekaterini & Tsoumas, Chris, 2021. "Mortgage loan demand and banks’ operational efficiency," Journal of Financial Stability, Elsevier, vol. 53(C).
    2. Delis, Manthos D. & Kazakis, Pantelis & Zopounidis, Constantin, 2023. "Management and takeover decisions," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1256-1268.
    3. Manthos D. Delis & Pantelis Kazakis & Constantin Zopounidis, 2021. "Management Practices and Takeover Decisions," Working Papers 2021_10, Business School - Economics, University of Glasgow.
    4. Daraio, Cinzia & Simar, Leopold & Wilson, Paul, 2019. "Quality and its impact on efficiency," LIDAM Discussion Papers ISBA 2019004, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    5. Alecos Papadopoulos, 2021. "Measuring the effect of management on production: a two-tier stochastic frontier approach," Empirical Economics, Springer, vol. 60(6), pages 3011-3041, June.
    6. Delis, Manthos D. & Iosifidi, Maria & Kazakis, Pantelis & Ongena, Steven & Tsionas, Mike G., 2022. "Management practices and M&A success," Journal of Banking & Finance, Elsevier, vol. 134(C).
    7. Machado, Mariana Paim & Abreu, Jaqueline Lilge & Morandi, Maria Isabel Motta & Piran, Fabio Sartori & Lacerda, Daniel Pacheco, 2023. "Exploratory decision robustness analysis of the theory of constraints focusing process using system dynamics modeling," International Journal of Production Economics, Elsevier, vol. 260(C).

  72. Scott E. Atkinson & Mike G. Tsionas, 2018. "Shadow directional distance functions with bads: GMM estimation of optimal directions and efficiencies," Empirical Economics, Springer, vol. 54(1), pages 207-230, February.

    Cited by:

    1. Ma, Chunbo & Hailu, Atakelty & You, Chaoying, 2019. "A critical review of distance function based economic research on China’s marginal abatement cost of carbon dioxide emissions," Energy Economics, Elsevier, vol. 84(C).
    2. Vardanyan, Michael & Valdmanis, Vivian G. & Leleu, Hervé & Ferrier, Gary D., 2022. "Estimating technology characteristics of the U.S. hospital industry using directional distance functions with optimal directions," Omega, Elsevier, vol. 113(C).
    3. Du, Limin & Lu, Yunguo & Ma, Chunbo, 2022. "Carbon efficiency and abatement cost of China's coal-fired power plants," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. Christian Stetter & Johannes Sauer, 2022. "Greenhouse Gas Emissions and Eco-Performance at Farm Level: A Parametric Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 617-647, March.
    5. Moriah Bostian & Rolf Färe & Shawna Grosskopf & Tommy Lundgren, 2022. "Prevention or cure? Optimal abatement mix," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(4), pages 503-531, October.

  73. Kyriakos Drivas & Claire Economidou & Efthymios G. Tsionas, 2018. "Production of output and ideas: efficiency and growth patterns in the United States," Regional Studies, Taylor & Francis Journals, vol. 52(1), pages 105-118, January.

    Cited by:

    1. Zainab Asif & Radhika Lahiri, 2021. "Dimensions of human capital and technological diffusion," Empirical Economics, Springer, vol. 60(2), pages 941-967, February.
    2. Zwane, Talent & Biyase, Mduduzi & Binda, Thandolwethu, 2021. "Institutions and Technical Efficiency: A Stochastic Frontier Approach," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 74(4), pages 415-438.
    3. Nicky Rogge, 2019. "Regional productivity growth in the EU since 2000: something is better than nothing," Empirical Economics, Springer, vol. 56(2), pages 423-444, February.
    4. Zwane, Talent & Biyase, Mduduzi & Maleka, Mokgadi & Maluleka, Abelwe, 2020. "Technical Efficiency and Economic Growth in the SADC Region," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 73(2), pages 307-324.

  74. Assaf, A. George & Tsionas, Mike, 2018. "The estimation and decomposition of tourism productivity," Tourism Management, Elsevier, vol. 65(C), pages 131-142.

    Cited by:

    1. Arpan Kumar Kar & Shweta Kumari Choudhary & P. Vigneswara Ilavarasan, 2023. "How can we improve tourism service experiences: insights from multi-stakeholders’ interaction," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 50(1), pages 73-89, March.
    2. Songsong Zhao & Tai Huang & Jianchao Xi, 2022. "Understanding the Evolution of Regional Tourism Efficiency: Through the Lens of Evolutionary Economic Geography," Sustainability, MDPI, vol. 14(17), pages 1-16, September.
    3. Abdul Rehman & Hengyun Ma & Muhammad Irfan & Munir Ahmad & Ousmane Traore, 2020. "Investigating the Influence of International Tourism in Pakistan and Its Linkage to Economic Growth: Evidence From ARDL Approach," SAGE Open, , vol. 10(2), pages 21582440209, June.
    4. Tiantian Guo & Jidong Wang & Chen Li, 2022. "Spatial–Temporal Evolution and Influencing Mechanism of Tourism Ecological Efficiency in China," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    5. Aurélie Corne & Olga Goncalves & Nicolas Peypoch, 2020. "Evaluating the performance drivers of French ski resorts: A hierarchical approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 389-405, April.
    6. Federico Inchausti-Sintes & Ubay Pérez-Granja & José Juan Morales-Mohamed, 2021. "Analysing labour productivity and its economic consequences in the two Spanish tourist archipelagos," Tourism Economics, , vol. 27(5), pages 1039-1059, August.
    7. Hai Dong & Nicolas Peypoch & Linjia Zhang, 2019. "Do contextual factors matter? Evidence from Chinese hotel productivity with heterogeneity," Post-Print hal-02449129, HAL.
    8. Kristiaan KERSTENS & Jafar SADEGHI & Ignace VAN DE WOESTYNE & Linjia ZHANG, 2020. "Malmquist Productivity Indices and Plant Capacity Utilisation: New Proposals and Empirical Application," Working Papers 2020-EQM-06, IESEG School of Management.
    9. Arpan Kumar Kar & Sunil Kumar & P. Vigneswara Ilavarasan, 2021. "Modelling the Service Experience Encounters Using User-Generated Content: A Text Mining Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(4), pages 267-288, December.
    10. Larry Dwyer, 2022. "Productivity, Destination Performance, and Stakeholder Well-Being," Tourism and Hospitality, MDPI, vol. 3(3), pages 1-16, July.
    11. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    12. Chien-Chiang Lee & Mei-Ping Chen, 2022. "The impact of COVID-19 on the travel and leisure industry returns: Some international evidence," Tourism Economics, , vol. 28(2), pages 451-472, March.
    13. Walheer, Barnabé & Zhang, Linjia & Luo, Yingchan, 2020. "Bidirectional technological spillover in the Chinese star-rated hotel sector: An empirical investigation," Economic Modelling, Elsevier, vol. 86(C), pages 210-226.
    14. Liu, Anyu & Wu, Doris Chenguang, 2019. "Tourism productivity and economic growth," Annals of Tourism Research, Elsevier, vol. 76(C), pages 253-265.
    15. Zhen Su & Joshua R. Aaron & William C. McDowell & Dan Dan Lu, 2019. "Sustainable Synergies between the Cultural and Tourism Industries: An Efficiency Evaluation Perspective," Sustainability, MDPI, vol. 11(23), pages 1-20, November.
    16. Obaid Ur Rehman & Xiaoxing Liu & Abdul Rauf & Mayada Ben Slama & Waqas Amin, 2020. "Internet tradition and tourism development: A causality analysis on BRI listed economies," Tourism Economics, , vol. 26(6), pages 926-957, September.
    17. Michael L Polemis & Panayiotis Tzeremes & Nickolaos G Tzeremes, 2023. "Hotels’ occupancy rates and convergence: Empirical evidence from the first pandemic wave," Tourism Economics, , vol. 29(2), pages 533-542, March.
    18. Nickolaos G Tzeremes, 2019. "Hotel productivity: A robust Luenberger productivity indicator," Tourism Economics, , vol. 25(6), pages 987-996, September.

  75. Mamatzakis, E. & Tsionas, M., 2018. "Revisiting the returns of public infrastructure in Mexico: A limited information local likelihood estimation," Economic Modelling, Elsevier, vol. 75(C), pages 132-141.
    See citations under working paper version above.
  76. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2018. "Debt dynamics in Europe: A Network General Equilibrium GVAR approach," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 175-202.
    See citations under working paper version above.
  77. Tsionas, Efthymios G. & Malikov, Emir & Kumbhakar, Subal C., 2018. "An internally consistent approach to the estimation of market power and cost efficiency with an application to U.S. banking," European Journal of Operational Research, Elsevier, vol. 270(2), pages 747-760.
    See citations under working paper version above.
  78. Chen, Zhongfei & Wanke, Peter & Tsionas, Mike G., 2018. "Assessing the strategic fit of potential M&As in Chinese banking: A novel Bayesian stochastic frontier approach," Economic Modelling, Elsevier, vol. 73(C), pages 254-263.

    Cited by:

    1. Alves, André Bernardo & Wanke, Peter & Antunes, Jorge & Chen, Zhongfei, 2020. "Endogenous network efficiency, macroeconomy, and competition: Evidence from the Portuguese banking industry," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    2. Wanke, Peter & Tsionas, Mike G. & Chen, Zhongfei & Moreira Antunes, Jorge Junio, 2020. "Dynamic network DEA and SFA models for accounting and financial indicators with an analysis of super-efficiency in stochastic frontiers: An efficiency comparison in OECD banking," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 456-468.

  79. Tryphon Kollintzas & Dimitris Papageorgiou & Efthymios Tsionas & Vanghelis Vassilatos, 2018. "Market and political power interactions in Greece: an empirical investigation," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-43, December.
    See citations under working paper version above.
  80. Tsionas, Mike G., 2018. "A Bayesian approach to find Pareto optima in multiobjective programming problems using Sequential Monte Carlo algorithms," Omega, Elsevier, vol. 77(C), pages 73-79.

    Cited by:

    1. Tsionas, Mike G., 2019. "Multi-objective optimization using statistical models," European Journal of Operational Research, Elsevier, vol. 276(1), pages 364-378.
    2. Mohammadali S. Monfared & Sayyed Ehsan Monabbati & Mahsa Mahdipour Azar, 2020. "Bi-objective optimization problems with two decision makers: refining Pareto-optimal front for equilibrium solution," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(2), pages 567-584, June.

  81. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "Smooth approximations to monotone concave functions in production analysis: An alternative to nonparametric concave least squares," European Journal of Operational Research, Elsevier, vol. 271(3), pages 797-807.

    Cited by:

    1. Tsionas, Mike G., 2020. "Bounded rationality and thick frontiers in stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 284(2), pages 762-768.
    2. Tsionas, Mike G., 2023. "Combining data envelopment analysis and stochastic frontiers via a LASSO prior," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1158-1166.
    3. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    4. Ya Chen & Mike Tsionas & Valentin Zelenyuk, 2020. "LASSO DEA for small and big data," CEPA Working Papers Series WP092020, School of Economics, University of Queensland, Australia.
    5. Tsionas, Mike G., 2023. "Performance estimation when the distribution of inefficiency is unknown," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1212-1222.
    6. Tsionas, Mike G., 2021. "Optimal combinations of stochastic frontier and data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 294(2), pages 790-800.
    7. Chen, Ya & Tsionas, Mike G. & Zelenyuk, Valentin, 2021. "LASSO+DEA for small and big wide data," Omega, Elsevier, vol. 102(C).
    8. Toraubally, Waseem A., 2019. "Arbitrage equilibria in large games with many commodities," Economics Letters, Elsevier, vol. 179(C), pages 24-28.

  82. Mike G. Tsionas & Marwan Izzeldin, 2018. "Bayesian CV@R/super-quantile regression," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(16), pages 2943-2957, December.

    Cited by:

    1. Daniel Velásquez-Gaviria & Andrés Mora-Valencia & Javier Perote, 2020. "A Comparison of the Risk Quantification in Traditional and Renewable Energy Markets," Energies, MDPI, vol. 13(11), pages 1-42, June.

  83. Assaf, A. George & Tsionas, Mike & Oh, Haemoon, 2018. "The time has come: Toward Bayesian SEM estimation in tourism research," Tourism Management, Elsevier, vol. 64(C), pages 98-109.

    Cited by:

    1. Huimin Song & Jamie M Chen & Yibin Chen, 2021. "Mediating and moderating effects in golf tourism: Evidence from Hainan Island," Tourism Economics, , vol. 27(3), pages 510-526, May.
    2. Loredana Manasia & Diana Popa & Gratiela Ianos, 2022. "Anatomy of Research Performance from a Bottom-Up Approach: Examination of Researchers’ Perspective," Sustainability, MDPI, vol. 14(4), pages 1-31, February.

  84. Panayotis G. Michaelides & Efthymios G. Tsionas & Angelos T. Vouldis & Konstantinos N. Konstantakis & Panagiotis Patrinos, 2018. "A Semi-Parametric Non-linear Neural Network Filter: Theory and Empirical Evidence," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 637-675, March.

    Cited by:

    1. Amirhosein Torabi & Sayyed Ali Kiaian Mousavy & Vahideh Dashti & Mohammadhossein Saeedi & Nasser Yousefi, 2019. "A New Prediction Model Based on Cascade NN for Wind Power Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1219-1243, March.
    2. Christos Alexakis & Michael Dowling & Konstantinos Eleftheriou & Michael Polemis, 2021. "Textual Machine Learning: An Application to Computational Economics Research," Post-Print hal-03182910, HAL.
    3. Hiroshi Yamada & Ruoyi Bao, 2022. "$$\ell _{1}$$ ℓ 1 Common Trend Filtering," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1005-1025, March.

  85. Atkinson, Scott E. & Primont, Daniel & Tsionas, Mike G., 2018. "Statistical inference in efficient production with bad inputs and outputs using latent prices and optimal directions," Journal of Econometrics, Elsevier, vol. 204(2), pages 131-146.

    Cited by:

    1. Atkinson, Scott E. & Tsionas, Mike G., 2021. "Generalized estimation of productivity with multiple bad outputs: The importance of materials balance constraints," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1165-1186.
    2. De Silva, Dakshina G. & Hubbard, Timothy P. & Schiller, Anita R. & Tsionas, Mike G., 2023. "Estimating outcomes in the presence of endogeneity and measurement error with an application to R&D," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 278-294.
    3. Assaf, A. George & Tsionas, Mike & Kock, Florian & Josiassen, Alexander, 2021. "A Bayesian non-parametric stochastic frontier model," Annals of Tourism Research, Elsevier, vol. 87(C).
    4. Vardanyan, Michael & Valdmanis, Vivian G. & Leleu, Hervé & Ferrier, Gary D., 2022. "Estimating technology characteristics of the U.S. hospital industry using directional distance functions with optimal directions," Omega, Elsevier, vol. 113(C).
    5. Du, Limin & Lu, Yunguo & Ma, Chunbo, 2022. "Carbon efficiency and abatement cost of China's coal-fired power plants," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    6. Tsionas, Mike G., 2020. "On a model of environmental performance and technology gaps," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1141-1152.
    7. Tsionas, Mike G., 2024. "A generalized inefficiency model with input and output dependence," European Journal of Operational Research, Elsevier, vol. 312(1), pages 315-323.

  86. Junrong Liu & Robin C. Sickles & E. G. Tsionas, 2017. "Bayesian Treatments for Panel Data Stochastic Frontier Models with Time Varying Heterogeneity," Econometrics, MDPI, vol. 5(3), pages 1-21, July.

    Cited by:

    1. Shasha Liu & Robin Sickles, 2021. "The agency problem revisited: a structural analysis of managerial productivity and CEO compensation in large US commercial banks," Empirical Economics, Springer, vol. 60(1), pages 391-418, January.
    2. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    3. Badi Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: A Bayesian Semiparametric Model with Random Coefficients for a Panel of OECD Countries," Center for Policy Research Working Papers 229, Center for Policy Research, Maxwell School, Syracuse University.
    4. Meena Badade & T. V. Ramanathan, 2020. "Probabilistic frontier regression model for multinomial ordinal type output data," Journal of Productivity Analysis, Springer, vol. 53(3), pages 339-354, June.
    5. Preciado Arreola, José Luis & Johnson, Andrew L. & Chen, Xun C. & Morita, Hiroshi, 2020. "Estimating stochastic production frontiers: A one-stage multivariate semiparametric Bayesian concave regression method," European Journal of Operational Research, Elsevier, vol. 287(2), pages 699-711.
    6. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP092021, School of Economics, University of Queensland, Australia.

  87. Tsionas, Mike & Mamatzakis, Emmanuel C., 2017. "Corrigendum to ‘Adjustment costs in the technical efficiency: An application to global banking’ [European Journal of Operational Research 256 (2017) 640–649]," European Journal of Operational Research, Elsevier, vol. 257(2), pages 704-704.

    Cited by:

    1. Baños-Pino, José F. & Boto-García, David & Zapico, Emma, 2021. "Persistence and dynamics in the efficiency of toll motorways: The Spanish case," Efficiency Series Papers 2021/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    2. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "A novel model of costly technical efficiency," European Journal of Operational Research, Elsevier, vol. 268(2), pages 653-664.
    3. Mamatzakis, Emmanuel & Bagntasarian, Anna, 2019. "The nexus between underlying dynamics of bank capital buffer and performance," MPRA Paper 92961, University Library of Munich, Germany.
    4. Kevork, Ilias S. & Pange, Jenny & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2017. "Estimating Malmquist productivity indexes using probabilistic directional distances: An application to the European banking sector," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1125-1140.
    5. Mohamed Dia & Amirmohsen Golmohammadi & Pawoumodom M. Takouda, 2020. "Relative Efficiency of Canadian Banks: A Three-Stage Network Bootstrap DEA," JRFM, MDPI, vol. 13(4), pages 1-25, April.
    6. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "Smooth approximations to monotone concave functions in production analysis: An alternative to nonparametric concave least squares," European Journal of Operational Research, Elsevier, vol. 271(3), pages 797-807.
    7. Tsionas, Mike G. & Polemis, Michael L., 2019. "On the estimation of total factor productivity: A novel Bayesian non-parametric approach," European Journal of Operational Research, Elsevier, vol. 277(3), pages 886-902.
    8. Vincent Bouvatier & Laetitia Lepetit & Pierre-Nicolas Rehault & Frank Strobel, 2018. "Bank insolvency risk and Z-score measures: caveats and best practice," Working Papers hal-01937929, HAL.
    9. Mamatzakis, Emmanuel & matousek, roman & vu, anh, 2019. "The interplay between problem loans and Japanese bank productivity," MPRA Paper 92960, University Library of Munich, Germany.

  88. Fotini Economou & Christis Hassapis & Nikolaos Philippas & Mike Tsionas, 2017. "Foreign Direct Investment Determinants in OECD and Developing Countries," Review of Development Economics, Wiley Blackwell, vol. 21(3), pages 527-542, August.

    Cited by:

    1. Balázs Égert, 2021. "Investment in OECD Countries: a Primer," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 63(2), pages 200-223, June.
    2. Mariam Camarero & Laura Montolio & Cecilio Tamarit, 2018. "Determinants of FDI for Spanish regions: Evidence using stock data," Working Papers 1809, Department of Applied Economics II, Universidad de Valencia.
    3. Shahid Iqbal & Abdul Qayyum Khan & Muhammad Yar Khan & Lamya Al-Aali, 2021. "The Dynamics of Financial Development, Government Quality, and Economic Growth in Different Groups of Economies," Sustainability, MDPI, vol. 13(14), pages 1-14, July.
    4. Mehmet Pinar & Thanasis Stengos, 2021. "Democracy in the neighborhood and foreign direct investment," Review of Development Economics, Wiley Blackwell, vol. 25(1), pages 449-477, February.
    5. Mian Sajid Nazir & Qaisar Hafeez & Salah U‐Din, 2022. "Did reduction in corporate tax rate attract FDI in Pakistan?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2256-2267, April.
    6. Duong, Huu Nhan & Goyal, Abhinav & Kallinterakis, Vasileios & Veeraraghavan, Madhu, 2022. "Democracy and the pricing of initial public offerings around the world," Journal of Financial Economics, Elsevier, vol. 145(1), pages 322-341.
    7. Economou, Fotini, 2019. "Economic freedom and asymmetric crisis effects on FDI inflows: The case of four South European economies," Research in International Business and Finance, Elsevier, vol. 49(C), pages 114-126.
    8. Thomas Neise & Franziska Sohns & Moritz Breul & Javier Revilla Diez, 2022. "The effect of natural disasters on FDI attraction: a sector-based analysis over time and space," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(2), pages 999-1023, January.
    9. Zhang, Hongxia & Kim, Heeho, 2022. "Institutional quality and FDI location: A threshold model," Economic Modelling, Elsevier, vol. 114(C).
    10. A. Baronchelli & T.E. Uberti, 2018. "Exports and FDI: comparing networks in the new millennium," Working Paper CRENoS 201813, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    11. Bahar Bayraktar-Sağlam & Selin Sayek Böke, 2017. "Labor Costs and Foreign Direct Investment: A Panel VAR Approach," Economies, MDPI, vol. 5(4), pages 1-23, September.
    12. Tag, Mehmet Nasih & Degirmen, Suleyman, 2022. "Economic freedom and foreign direct investment: Are they related?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 737-752.
    13. Sahiti Arben & Ahmeti Ard & Sahiti Arbana, 2020. "FDI Trends and Characteristics in Kosovo," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 8(1), pages 12-21, January.

  89. Tsionas, Mike G., 2017. "Microfoundations for stochastic frontiers," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1165-1170.

    Cited by:

    1. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    2. Kutlu, Levent & Mamatzakis, Emmanuel & Tsionas, Mike G., 2022. "A principal–agent approach for estimating firm efficiency: Revealing bank managerial behavior," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    3. Alfaihani, Sara & Badunenko, Oleg & Jaffry, Shabbar, 2021. "Market size and market structure in banking," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    4. Tsionas, Mike G. & Mamatzakis, Emmanuel & Ongena, Steven, 2020. "Does risk aversion affect bank output loss? The case of the Eurozone," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1127-1145.
    5. Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.
    6. Kamil Makie{l}a & B{l}a.zej Mazur, 2020. "Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging," Papers 2003.07150, arXiv.org, revised Oct 2020.
    7. Pavlos Almanidis & Mustafa U. Karakaplan & Levent Kutlu, 2019. "A dynamic stochastic frontier model with threshold effects: U.S. bank size and efficiency," Journal of Productivity Analysis, Springer, vol. 52(1), pages 69-84, December.

  90. Tsionas, Mike G. & Michaelides, Panayotis G., 2017. "Neglected chaos in international stock markets: Bayesian analysis of the joint return–volatility dynamical system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 95-107.
    See citations under working paper version above.
  91. Michael L. Polemis & Mike G. Tsionas, 2017. "Asymmetric Price Adjustment in the US Gasoline Industry: Evidence from Bayesian Threshold Dynamic Panel Data Models," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 24(1), pages 91-128, January.

    Cited by:

    1. Dagoumas, Athanasios S. & Polemis, Michael L., 2020. "Carbon pass-through in the electricity sector: An econometric analysis," Energy Economics, Elsevier, vol. 86(C).
    2. Dagoumas, Athanasios & Polemis, Michael, 2018. "Analysing Carbon Pass-Through Rate Mechanism in the Electricity Sector: Evidence from Greece," MPRA Paper 91067, University Library of Munich, Germany.
    3. Chen, Chaoyi & Polemis, Michael & Stengos, Thanasis, 2019. "Can exchange rate pass-through explain the asymmetric gasoline puzzle? Evidence from a pooled panel threshold analysis of the EU," Energy Economics, Elsevier, vol. 81(C), pages 1-12.
    4. Zhang, Xiao-Bing & Fei, Yinxin & Zheng, Ying & Zhang, Lei, 2020. "Price ceilings as focal points to reach price uniformity: Evidence from a Chinese gasoline market," Energy Economics, Elsevier, vol. 92(C).
    5. Sofronis Clerides & Sotiria Charalambous, 2020. "Fuel price pass-through in Cyprus," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 14(1), pages 27-40, June.
    6. Oladosu, Gbadebo, 2022. "Bubbles in US gasoline prices: Assessing the role of hurricanes and anti–price gouging laws," Journal of Commodity Markets, Elsevier, vol. 27(C).
    7. Chen, Chaoyi & Polemis, Michael & Stengos, Thanasis, 2018. "On the Examination of Competition in the Petroleum Industry: A Pooled Panel Threshold Analysis," MPRA Paper 89671, University Library of Munich, Germany.
    8. Jonathan E. Ogbuabor & Anthony Orji & Gladys C. Aneke & Manasseh O. Charles, 2019. "Did the global financial crisis alter the oil–gasoline price relationship?," Empirical Economics, Springer, vol. 57(4), pages 1171-1200, October.
    9. Deltas, George & Polemis, Michael, 2018. "Estimating retail gasoline price dynamics: The effects of sample characteristics and research design," MPRA Paper 89570, University Library of Munich, Germany.
    10. Jonathan E. Ogbuabor & God'stime O. Eigbiremolen & Charles O. Manasseh & Ifeoma C. Mba, 2018. "Asymmetric Price Transmission and Rent‐seeking in Road Fuel Markets: A Comparative Study of South Africa and Selected Eurozone Countries," African Development Review, African Development Bank, vol. 30(3), pages 278-290, September.
    11. Wang, Hao-ran & Feng, Tian-tian & Zhong, Cheng, 2023. "Effectiveness of CO2 cost pass-through to electricity prices under “electricity-carbon” market coupling in China," Energy, Elsevier, vol. 266(C).

  92. George Assaf, A. & Josiassen, Alexander & Woo, Linda & Agbola, Frank W. & Tsionas, Mike, 2017. "Destination characteristics that drive hotel performance: A state-of-the-art global analysis," Tourism Management, Elsevier, vol. 60(C), pages 270-279.

    Cited by:

    1. Baggio, Rodolfo, 2020. "Tourism destinations: A universality conjecture based on network science," Annals of Tourism Research, Elsevier, vol. 82(C).
    2. Hai Dong & Nicolas Peypoch & Linjia Zhang, 2019. "Do contextual factors matter? Evidence from Chinese hotel productivity with heterogeneity," Post-Print hal-02449129, HAL.
    3. Simona Franzoni & Cristian Pelizzari, 2021. "Rainfall option impact on profits of the hospitality industry through scenario correlation and copulas," Annals of Operations Research, Springer, vol. 299(1), pages 939-962, April.
    4. Calvo, Elena & Tapia, Javier & Albisu, Pablo, 2022. "Estrategia de fijación de precios en la industria hotelera. El caso del hotel Tryp Atocha Madrid [Pricing strategy in the hotel industry. The case of the hotel Tryp Atocha Madrid]," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 34(1), pages 263-280, December.
    5. Lucie Severová & Karel Šrédl & Marie Prášilová & Roman Svoboda & Alexandr Soukup & Marek Dvořák & Jitka Prachařová, 2021. "Change in the Structure of the Accommodation Capacity of the Czech Hotel Industry under Conditions of Economic Globalization," Sustainability, MDPI, vol. 13(16), pages 1-24, August.
    6. Ante Mandić & Elza Jurun, 2018. "The Determinants of Small and Family Owned Hotel Room Rates," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 11(2), pages 17-22, September.
    7. Pilar Alberca & Laura Parte, 2020. "Efficiency in the Holiday and Other Short-Stay Accommodation Industry," Sustainability, MDPI, vol. 12(22), pages 1-22, November.
    8. Michael L Polemis & Panayiotis Tzeremes & Nickolaos G Tzeremes, 2023. "Hotels’ occupancy rates and convergence: Empirical evidence from the first pandemic wave," Tourism Economics, , vol. 29(2), pages 533-542, March.

  93. Delis, Manthos & Iosifidi, Maria & Tsionas, Mike G, 2017. "Endogenous bank risk and efficiency," European Journal of Operational Research, Elsevier, vol. 260(1), pages 376-387.

    Cited by:

    1. Kutlu, Levent & Mamatzakis, Emmanuel & Tsionas, Mike G., 2022. "A principal–agent approach for estimating firm efficiency: Revealing bank managerial behavior," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    2. Delis, Manthos D. & Iosifidi, Maria & Tsionas, Mike, 2020. "Management estimation in banking," European Journal of Operational Research, Elsevier, vol. 284(1), pages 355-372.
    3. Lartey, Theophilus & James, Gregory A. & Danso, Albert, 2021. "Interbank funding, bank risk exposure and performance in the UK: A three-stage network DEA approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
    4. Jeon, Bang Nam & Wu, Ji & Chen, Limei & Chen, Minghua, 2020. "Diversification, efficiency and risk of banks: New consolidating evidence from emerging economies," School of Economics Working Paper Series 2020-10, LeBow College of Business, Drexel University.
    5. Phan, Hien Thu & Anwar, Sajid & Alexander, W. Robert J. & Phan, Hanh Thi My, 2019. "Competition, efficiency and stability: An empirical study of East Asian commercial banks," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    6. Partovi, Elmira & Matousek, Roman, 2019. "Bank efficiency and non-performing loans: Evidence from Turkey," Research in International Business and Finance, Elsevier, vol. 48(C), pages 287-309.
    7. Hela Kallel & Mohamed Triki, 2024. "Foreign ownership, bank efficiency and stability: Whether the institutional quality of countries is important?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 632-653, January.
    8. Tsionas, Mike G. & Mamatzakis, Emmanuel & Ongena, Steven, 2020. "Does risk aversion affect bank output loss? The case of the Eurozone," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1127-1145.
    9. Cristian Barra & Nazzareno Ruggiero, 2022. "Firm innovation and local bank efficiency in Italy: Does the type of bank matter?," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(4), pages 1083-1128, December.
    10. Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.
    11. Ulaş Ünlü & Neşe Yalçın & Nuri Avşarlıgil, 2022. "Analysis of Efficiency and Productivity of Commercial Banks in Turkey Pre- and during COVID-19 with an Integrated MCDM Approach," Mathematics, MDPI, vol. 10(13), pages 1-22, July.
    12. Kevork, Ilias S. & Pange, Jenny & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2017. "Estimating Malmquist productivity indexes using probabilistic directional distances: An application to the European banking sector," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1125-1140.
    13. Le, Huong Nguyen Quynh & Nguyen, Thai Vu Hong & Schinckus, Christophe, 2022. "The role of strategic interactions in risk-taking behavior: A study from asset growth perspective," International Review of Financial Analysis, Elsevier, vol. 82(C).
    14. Fukuyama, Hirofumi & Tsionas, Mike & Tan, Yong, 2023. "Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: Application to the Chinese banking industry," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1360-1373.
    15. Pavlos Almanidis & Mustafa U. Karakaplan & Levent Kutlu, 2019. "A dynamic stochastic frontier model with threshold effects: U.S. bank size and efficiency," Journal of Productivity Analysis, Springer, vol. 52(1), pages 69-84, December.
    16. Francesca Pampurini & Anna Grazia Quaranta, 2018. "Sustainability and Efficiency of the European Banking Market after the Global Crisis: The Impact of Some Strategic Choices," Sustainability, MDPI, vol. 10(7), pages 1-16, June.
    17. Bhattacharya, Mita & Inekwe, John Nkwoma & Valenzuela, Maria Rebecca, 2020. "Credit risk and financial integration: An application of network analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
    18. Carmelo Algeri & Luc Anselin & Antonio Fabio Forgione & Carlo Migliardo, 2022. "Spatial dependence in the technical efficiency of local banks," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 685-716, June.
    19. Chen, Minghua & Kang, Qiaoling & Wu, Ji & Jeon, Bang Nam, 2022. "Do macroprudential policies affect bank efficiency? Evidence from emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    20. Zhu, Ning & Wu, Yanrui & Wang, Bing & Yu, Zhiqian, 2019. "Risk preference and efficiency in Chinese banking," China Economic Review, Elsevier, vol. 53(C), pages 324-341.
    21. Louhichi, Awatef & Boujelbene, Younes, 2020. "Credit risk pricing and the rationality of lending decision-making within dual banking systems: A parametric approach," Economic Systems, Elsevier, vol. 44(1).

  94. Grazzini, Jakob & Richiardi, Matteo G. & Tsionas, Mike, 2017. "Bayesian estimation of agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 26-47.
    See citations under working paper version above.
  95. Baltas, Konstantinos N. & Kapetanios, George & Tsionas, Efthymios & Izzeldin, Marwan, 2017. "Liquidity creation through efficient M&As: A viable solution for vulnerable banking systems? Evidence from a stress test under a panel VAR methodology," Journal of Banking & Finance, Elsevier, vol. 83(C), pages 36-56.

    Cited by:

    1. Guo‐Hua Cao & Jing Zhang, 2022. "The entrepreneurial ecosystem of inclusive finance and entrepreneurship: A theoretical and empirical test in China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1547-1568, January.
    2. Duan, Ying & Niu, Jijun, 2020. "Liquidity creation and bank profitability," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    3. Osoro, Jared & Josea, Kiplangat, 2022. "Banking system adjustment to shock: The Kenyan case of liquidity-profitability trade-offs," KBA Centre for Research on Financial Markets and Policy Working Paper Series 56, Kenya Bankers Association (KBA).
    4. Mike G. Tsionas & Konstantinos N. Baltas, 2022. "On identifying risk-adjusted efficiency gains or losses of prospective mergers and acquisitions," Annals of Operations Research, Springer, vol. 318(1), pages 619-683, November.
    5. Guo, Pin & Zhang, Cheng, 2023. "The impact of bank FinTech on liquidity creation: Evidence from China," Research in International Business and Finance, Elsevier, vol. 64(C).
    6. Budny Katarzyna & Krasodomska Joanna & Świetla Katarzyna, 2019. "Performance Changes Around Banks Mergers and Acquisitions: Evidence from Poland," Financial Sciences. Nauki o Finansach, Sciendo, vol. 24(2), pages 28-45, June.
    7. Guo-Hua Cao & Jing Zhang, 2021. "Is a sustainable loop of economy and entrepreneurial ecosystem possible? a structural perspective," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7002-7040, May.
    8. Sleibi, Yacoub & Casalin, Fabrizio & Fazio, Giorgio, 2020. "Bank-specific shocks and aggregate leverage: Empirical evidence from a panel of developed countries," Journal of Financial Stability, Elsevier, vol. 49(C).
    9. Muhammad Farhan Basheer & Waeibrorheem Waemustafa & Mohamad Helmi Bin Hidthiir & Saira Ghulam Hassan, 2021. "Explaining the endogeneity between the credit risk, liquidity risk, and off-balance sheet activities in commercial banks: a case of South Asian economies," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 14(2), pages 166-187.
    10. Chiaramonte, Laura & Dreassi, Alberto & Piserà, Stefano & Khan, Ashraf, 2023. "Mergers and acquisitions in the financial industry: A bibliometric review and future research directions," Research in International Business and Finance, Elsevier, vol. 64(C).

  96. Tsionas, Mike G., 2017. "The profit function system with output- and input-specific technical efficiency," Economics Letters, Elsevier, vol. 151(C), pages 111-114.

    Cited by:

    1. Yu, Yang & Fan, Linlin, 2021. "How Does Supplemental Nutrition Assistance Program Affect Household Food Waste?," 2021 Annual Meeting, August 1-3, Austin, Texas 313984, Agricultural and Applied Economics Association.

  97. Tsionas, Mike G., 2017. "A non-iterative (trivial) method for posterior inference in stochastic volatility models," Statistics & Probability Letters, Elsevier, vol. 126(C), pages 83-87.

    Cited by:

    1. Ang Shan & Fengkai Yang, 2021. "Bayesian Inference for Finite Mixture Regression Model Based on Non-Iterative Algorithm," Mathematics, MDPI, vol. 9(6), pages 1-13, March.

  98. Tsionas, Efthymios & Assaf, A. George & Gillen, David & Mattila, Anna S., 2017. "Modeling technical and service efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 113-125.

    Cited by:

    1. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    2. Zhang, Chunqin & Liu, Yong & Lu, Weite & Xiao, Guangnian, 2019. "Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 149-164.

  99. Mike G. Tsionas, 2017. "“When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 948-965, July.

    Cited by:

    1. Mike Tsionas & Mikael A. Martins & Almas Heshmati, 2023. "Effects of the vaccination and public support on covid-19 cases and number of deaths in Sweden," Operational Research, Springer, vol. 23(3), pages 1-28, September.
    2. Sakouvogui Kekoura & Guilavogui Mama Genevieve, 2022. "How are the United States Banks faring during the COVID-19 Pandemic? Evidence of Economic Efficiency Measures," Open Economics, De Gruyter, vol. 5(1), pages 11-29, January.
    3. Tsionas, Mike G., 2020. "Bounded rationality and thick frontiers in stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 284(2), pages 762-768.
    4. Christopher F. Parmeter & Alan T. K. Wan & Xinyu Zhang, 2019. "Model averaging estimators for the stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 51(2), pages 91-103, June.
    5. Jun Cai & William C. Horrace & Christopher F. Parmeter, 2021. "Density deconvolution with Laplace errors and unknown variance," Journal of Productivity Analysis, Springer, vol. 56(2), pages 103-113, December.
    6. Zeebari, Zangin & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2021. "Regularized Conditional Estimators of Unit Inefficiency in Stochastic Frontier Analysis, with Application to Electricity Distribution Market," Ratio Working Papers 345, The Ratio Institute.
    7. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "Smooth approximations to monotone concave functions in production analysis: An alternative to nonparametric concave least squares," European Journal of Operational Research, Elsevier, vol. 271(3), pages 797-807.
    8. Nikolaos Englezos & Xanthi Kartala & Phoebe Koundouri & Mike Tsionas & Angelos Alamanos, 2021. "A Novel Hydro - Economic - Econometric Approach for Integrated Transboundary Water Management under Uncertainty," DEOS Working Papers 2101, Athens University of Economics and Business.
    9. Lai, Hung-pin & Kumbhakar, Subal C., 2019. "Technical and allocative efficiency in a panel stochastic production frontier system model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 255-265.
    10. Sakouvogui Kekoura & Shaik Saleem & Doetkott Curt & Magel Rhonda, 2021. "Sensitivity analysis of stochastic frontier analysis models," Monte Carlo Methods and Applications, De Gruyter, vol. 27(1), pages 71-90, March.
    11. Boscan, Luis & Söderberg, Magnus, 2021. "A theoretical and empirical analysis of district heating cost in Denmark," Energy Economics, Elsevier, vol. 99(C).

  100. Bertsatos, Georgios & Sakellaris, Plutarchos & Tsionas, Mike G., 2017. "Did the financial crisis affect the market valuation of large systemic U.S. banks?," Journal of Financial Stability, Elsevier, vol. 32(C), pages 115-123.

    Cited by:

    1. Georgios Bertsatos & Plutarchos Sakellaris & Mike G. Tsionas, 2022. "Extensions of the Pesaran, Shin and Smith (2001) bounds testing procedure," Empirical Economics, Springer, vol. 62(2), pages 605-634, February.
    2. Iftekhar Hasan & Gabriel G. Ramírez & Gaiyan Zhang, 2019. "Lock‐In Effects in Relationship Lending: Evidence from DIP Loans," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(4), pages 1021-1043, June.
    3. Ouyang, Fang-Yan & Zheng, Bo & Jiang, Xiong-Fei, 2019. "Dynamic fluctuations of cross-correlations in multi-time scale," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 515-521.
    4. Saunders, Anthony & Schmid, Markus & Walter, Ingo, 2020. "Strategic scope and bank performance," Journal of Financial Stability, Elsevier, vol. 46(C).
    5. Antonio J. Dayag & Fernando Trinidad, 2019. "A Critical Assessment on Bank Valuation in Existing Literature in the Last Decade," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(4), pages 44-58, July.
    6. Francis, Bill B. & Hasan, Iftekhar & Küllü, A. Melih & Zhou, Mingming, 2018. "Should banks diversify or focus? Know thyself: The role of abilities," Economic Systems, Elsevier, vol. 42(1), pages 106-118.
    7. Carbó-Valverde, Santiago & Cuadros-Solas, Pedro J. & Rodríguez-Fernández, Francisco, 2020. "Do bank bailouts have an impact on the underwriting business?," Journal of Financial Stability, Elsevier, vol. 49(C).
    8. Nguyen, James & Parsons, Richard & Argyle, Bronson, 2021. "An examination of diversification on bank profitability and insolvency risk in 28 financially liberalized markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).

  101. Tsionas, Euthimios G. & Mamatzakis, Emmanuel C., 2017. "Adjustment costs in the technical efficiency: An application to global banking," European Journal of Operational Research, Elsevier, vol. 256(2), pages 640-649.

    Cited by:

    1. Iosifidi, Maria & Panopoulou, Ekaterini & Tsoumas, Chris, 2021. "Mortgage loan demand and banks’ operational efficiency," Journal of Financial Stability, Elsevier, vol. 53(C).
    2. Baños-Pino, José F. & Boto-García, David & Zapico, Emma, 2021. "Persistence and dynamics in the efficiency of toll motorways: The Spanish case," Efficiency Series Papers 2021/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    3. Le, Thi Ngoc Lan & Nasir, Muhammad Ali & Huynh, Toan Luu Duc, 2023. "Capital requirements and banks performance under Basel-III: A comparative analysis of Australian and British banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 146-157.
    4. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "A novel model of costly technical efficiency," European Journal of Operational Research, Elsevier, vol. 268(2), pages 653-664.
    5. Mamatzakis, Emmanuel & Bagntasarian, Anna, 2019. "The nexus between underlying dynamics of bank capital buffer and performance," MPRA Paper 92961, University Library of Munich, Germany.
    6. Michael L. Polemis & Thanasis Stengos & Nickolaos G. Tzeremes, 2020. "Modeling the effect of competition on US manufacturing sectors’ efficiency: an order-m frontier analysis," Journal of Productivity Analysis, Springer, vol. 54(1), pages 27-41, August.
    7. Mohammad Abdul Matin Chowdhury & Razali Haron, 2021. "The efficiency of Islamic Banks in the Southeast Asia (SEA) Region," Future Business Journal, Springer, vol. 7(1), pages 1-16, December.
    8. Leire San-Jose & Jose Luis Retolaza & Eric Lamarque, 2018. "The Social Efficiency for Sustainability: European Cooperative Banking Analysis," Post-Print hal-02536203, HAL.
    9. Kevork, Ilias S. & Pange, Jenny & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2017. "Estimating Malmquist productivity indexes using probabilistic directional distances: An application to the European banking sector," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1125-1140.
    10. Chen, Zhongfei & Matousek, Roman & Wanke, Peter, 2018. "Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 71-86.
    11. Mohamed Dia & Amirmohsen Golmohammadi & Pawoumodom M. Takouda, 2020. "Relative Efficiency of Canadian Banks: A Three-Stage Network Bootstrap DEA," JRFM, MDPI, vol. 13(4), pages 1-25, April.
    12. Mohamed Dia & Pawoumodom M. Takouda & Amirmohsen Golmohammadi, 2022. "Assessing the performance of Canadian credit unions using a three-stage network bootstrap DEA," Annals of Operations Research, Springer, vol. 311(2), pages 641-673, April.
    13. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "Smooth approximations to monotone concave functions in production analysis: An alternative to nonparametric concave least squares," European Journal of Operational Research, Elsevier, vol. 271(3), pages 797-807.
    14. Baños-Pino, José F. & Boto-García, David & Zapico, Emma, 2022. "Persistence and dynamics in the efficiency of toll motorways: The Spanish case," Economics of Transportation, Elsevier, vol. 31(C).
    15. Hafeez, Bilal & Li, Xiping & Kabir, M. Humayun & Tripe, David, 2022. "Measuring bank risk: Forward-looking z-score," International Review of Financial Analysis, Elsevier, vol. 80(C).
    16. Bouvatier, Vincent & Lepetit, Laetitia & Rehault, Pierre-Nicolas & Strobel, Frank, 2023. "Time-varying Z-score measures for bank insolvency risk: Best practice," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 170-179.
    17. Tsionas, Mike G. & Polemis, Michael L., 2019. "On the estimation of total factor productivity: A novel Bayesian non-parametric approach," European Journal of Operational Research, Elsevier, vol. 277(3), pages 886-902.
    18. Vincent Bouvatier & Laetitia Lepetit & Pierre-Nicolas Rehault & Frank Strobel, 2018. "Bank insolvency risk and Z-score measures: caveats and best practice," Working Papers hal-01937929, HAL.
    19. Mamatzakis, Emmanuel & matousek, roman & vu, anh, 2019. "The interplay between problem loans and Japanese bank productivity," MPRA Paper 92960, University Library of Munich, Germany.

  102. Pagratis, Spyros & Topaloglou, Nikolas & Tsionas, Mike, 2017. "System stress testing of bank liquidity risk," Journal of International Money and Finance, Elsevier, vol. 73(PA), pages 22-40.

    Cited by:

    1. Florian NEAGU & Irina MIHAI, 2022. "Macroprudential Liquidity Stress Test : How To Cope With Liquidity Drains," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 96-111, December.
    2. Zhiyong Li & Chen Feng & Ying Tang, 2022. "Bank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis," Annals of Operations Research, Springer, vol. 315(1), pages 279-315, August.
    3. Sadeghzadeh Yazdi , Ali & Abounoori , Esmaiel & Erfani , Alireza, 2018. "Modeling the Liquidity Gap in a Private Bank," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(2), pages 153-176, April.

  103. Tsionas, Mike G. & Chen, Zhongfei & Wanke, Peter, 2017. "A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 1-10.

    Cited by:

    1. Lin, Boqiang & Xu, Bin, 2018. "How to promote the growth of new energy industry at different stages?," Energy Policy, Elsevier, vol. 118(C), pages 390-403.
    2. Huang, Fei & Zhou, Dequn & Hu, Jin-Li & Wang, Qunwei, 2020. "Integrated airline productivity performance evaluation with CO2 emissions and flight delays," Journal of Air Transport Management, Elsevier, vol. 84(C).
    3. Chen, Zhongfei & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2018. "Convergence in the Chinese airline industry: A Malmquist productivity analysis," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 77-86.
    4. Yu, Hang & Zhang, Yahua & Zhang, Anming & Wang, Kun & Cui, Qiang, 2019. "A comparative study of airline efficiency in China and India: A dynamic network DEA approach," Research in Transportation Economics, Elsevier, vol. 76(C).
    5. Tan, Xinlong & Jia, Rongwen & Yan, Jia & Wang, Kun & Bian, Lei, 2021. "An Exploratory analysis of flight delay propagation in China," Journal of Air Transport Management, Elsevier, vol. 92(C).
    6. Yu, Bin & Guo, Zhen & Asian, Sobhan & Wang, Huaizhu & Chen, Gang, 2019. "Flight delay prediction for commercial air transport: A deep learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 203-221.
    7. Lin, Pei-Chun, 2023. "The propagation of European airports’ on-time performance and on-time flights via air connectivity prior to the Covid-19 pandemic," Journal of Air Transport Management, Elsevier, vol. 109(C).
    8. Wanke, Peter & Chen, Zhongfei & Dong, Qichen & Antunes, Jorge, 2021. "Transportation Sustainability, Macroeconomics, and Endogeneity in China: A Hybrid Neural-Markowitz-Variable Reduction Approach," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    9. Yakath Ali, Nurul Syuhadah & Yu, Chunyan & See, Kok Fong, 2021. "Four decades of airline productivity and efficiency studies: A review and bibliometric analysis," Journal of Air Transport Management, Elsevier, vol. 96(C).
    10. Chen, Zhongfei & Wanke, Peter & Antunes, Jorge Junio Moreira & Zhang, Ning, 2017. "Chinese airline efficiency under CO2 emissions and flight delays: A stochastic network DEA model," Energy Economics, Elsevier, vol. 68(C), pages 89-108.

  104. Ioanna Konstantakopoulou & Mike G. Tsionas, 2017. "The long-run causal relationship between exports and economic growth in the euro area," Applied Economics Letters, Taylor & Francis Journals, vol. 24(8), pages 536-539, May.

    Cited by:

    1. Konstantakopoulou, Ioanna, 2022. "Does health quality affect tourism? Evidence from system GMM estimates," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 425-440.
    2. Konstantakopoulou, Ioanna & Tsionas, Mike G., 2019. "Measuring comparative advantages in the Euro Area," Economic Modelling, Elsevier, vol. 76(C), pages 260-269.
    3. Abdul Rehman & Hengyun Ma & Sufyan Ullah Khan & Muntasir Murshed & Muhammad Kamran Khan & Fayyaz Ahmad & Muhammad Zubair Chishti, 2023. "Do Exports of Communication Technology, Food, Manufacturing, and Foreign Investments Foster Economic Growth in Pakistan? an Exploration From Asymmetric Technique," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 4238-4255, December.

  105. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2016. "Non-linearities in financial bubbles: Theory and Bayesian evidence from S&P500," Journal of Financial Stability, Elsevier, vol. 24(C), pages 61-70.

    Cited by:

    1. Christis Katsouris, 2023. "Estimation and Inference in Threshold Predictive Regression Models with Locally Explosive Regressors," Papers 2305.00860, arXiv.org, revised May 2023.
    2. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

  106. Efthymios G. Tsionas & Kien C. Tran, 2016. "On the Joint Estimation of Heterogeneous Technologies, Technical, and Allocative Inefficiency," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 871-893, May.

    Cited by:

    1. Christine Amsler & Artem Prokhorov & Peter Schmidt, 2021. "A new family of copulas, with application to estimation of a production frontier system," Journal of Productivity Analysis, Springer, vol. 55(1), pages 1-14, February.

  107. Tran, Kien C. & Tsionas, Mike G., 2016. "On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors," Economics Letters, Elsevier, vol. 147(C), pages 19-22.

    Cited by:

    1. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    2. Levent Kutlu & Ran Wang, 2018. "Estimation of cost efficiency without cost data," Journal of Productivity Analysis, Springer, vol. 49(2), pages 137-151, June.

  108. Tran, Kien C. & Tsionas, Mike G., 2016. "Zero-inefficiency stochastic frontier models with varying mixing proportion: A semiparametric approach," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1113-1123.

    Cited by:

    1. Tsionas, Mike G. & Mallick, Sushanta K., 2019. "A Bayesian semiparametric approach to stochastic frontiers and productivity," European Journal of Operational Research, Elsevier, vol. 274(1), pages 391-402.
    2. Hou, Zhezhi & Zhao, Shunan & Kumbhakar, Subal C., 2023. "The GMM estimation of semiparametric spatial stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1450-1464.
    3. Tsionas, Euthimios G. & Mamatzakis, Emmanuel C., 2017. "Adjustment costs in the technical efficiency: An application to global banking," European Journal of Operational Research, Elsevier, vol. 256(2), pages 640-649.
    4. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    5. Jianxu Liu & Sanzidur Rahman & Songsak Sriboonchitta & Aree Wiboonpongse, 2017. "Enhancing Productivity and Resource Conservation by Eliminating Inefficiency of Thai Rice Farmers: A Zero Inefficiency Stochastic Frontier Approach," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
    6. Yao, Feng & Wang, Taining & Tian, Jinjing & Kumbhakar, Subal C., 2018. "Estimation of a smooth coefficient zero-inefficiency panel stochastic frontier model: A semiparametric approach," Economics Letters, Elsevier, vol. 166(C), pages 25-30.
    7. Kevork, Ilias S. & Pange, Jenny & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2017. "Estimating Malmquist productivity indexes using probabilistic directional distances: An application to the European banking sector," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1125-1140.
    8. Tsionas, Mike G., 2024. "A generalized inefficiency model with input and output dependence," European Journal of Operational Research, Elsevier, vol. 312(1), pages 315-323.
    9. Preciado Arreola, José Luis & Johnson, Andrew L. & Chen, Xun C. & Morita, Hiroshi, 2020. "Estimating stochastic production frontiers: A one-stage multivariate semiparametric Bayesian concave regression method," European Journal of Operational Research, Elsevier, vol. 287(2), pages 699-711.

  109. Tsionas, Mike G., 2016. "Parameters measuring bank risk and their estimation," European Journal of Operational Research, Elsevier, vol. 250(1), pages 291-304.

    Cited by:

    1. Mare, Davide Salvatore & Moreira, Fernando & Rossi, Roberto, 2015. "Nonstationary Z-score measures," MPRA Paper 67840, University Library of Munich, Germany.
    2. Nakamura, Hiroshi & Wakutsu, Naohiko, 2020. "Reducing Reimbursement Drug Price Risk to Enhance R&D Incentives without Raising Drug Prices/Expenditures: Implications of Simulations Based on Questionnaire Survey of Pharmaceutical Companies in Japa," Health Policy, Elsevier, vol. 124(7), pages 714-720.
    3. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
    4. Tsionas, Mike G. & Mamatzakis, Emmanuel & Ongena, Steven, 2020. "Does risk aversion affect bank output loss? The case of the Eurozone," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1127-1145.
    5. Prakash Singh & Sukriti Kumar, 2018. "Risks in banks and its impact on volatility of market returns: an empirical approach," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 17(2), pages 125-138.

  110. Tsionas, Mike G., 2016. "Bayesian analysis of multivariate stable distributions using one-dimensional projections," Journal of Multivariate Analysis, Elsevier, vol. 143(C), pages 185-193.

    Cited by:

    1. Mike G. Tsionas & Nicholas Apergis, 2023. "Another look at contagion across United States and European financial markets: Evidence from the credit default swaps markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 1137-1155, January.
    2. Karling, Maicon J. & Lopes, Sílvia R.C. & de Souza, Roberto M., 2023. "Multivariate α-stable distributions: VAR(1) processes, measures of dependence and their estimations," Journal of Multivariate Analysis, Elsevier, vol. 195(C).

  111. Tsionas, Mike G., 2016. "Notes on technical efficiency estimation with multiple inputs and outputs," European Journal of Operational Research, Elsevier, vol. 249(2), pages 784-788.

    Cited by:

    1. Tsionas, Euthimios G. & Mamatzakis, Emmanuel C., 2017. "Adjustment costs in the technical efficiency: An application to global banking," European Journal of Operational Research, Elsevier, vol. 256(2), pages 640-649.

  112. Drivas, Kyriakos & Economidou, Claire & Karkalakos, Sotiris & Tsionas, Efthymios G., 2016. "Mobility of knowledge and local innovation activity," European Economic Review, Elsevier, vol. 85(C), pages 39-61.
    See citations under working paper version above.
  113. Tsionas, Efthymios G. & Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2016. "Bayesian GVAR with k-endogenous dominants & input–output weights: Financial and trade channels in crisis transmission for BRICs," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 1-26.

    Cited by:

    1. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2018. "Debt Crisis in Europe (2001-2015): A Network General Equilibrium GVAR approach," MPRA Paper 89998, University Library of Munich, Germany.
    2. Konstantinos N. Konstantakis & Panayotis G. Michaelides & Livia Chatzieleftheriou & Arsenios‐Georgios N. Prelorentzos, 2022. "Crisis and the Chinese miracle: A network—GVAR model," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 900-921, July.
    3. Kim, Joseph H.T. & Li, Johnny S.H., 2017. "Risk-neutral valuation of the non-recourse protection in reverse mortgages: A case study for Korea," Emerging Markets Review, Elsevier, vol. 30(C), pages 133-154.
    4. Sailan Hu & Rongrong Li, 2021. "Investigating the Effects of the United States’ Economic Slowdown Related to the COVID-19 Pandemic on Energy Consumption in Other Countries—A Global Vector Autoregressive Model," Energies, MDPI, vol. 14(11), pages 1-25, May.
    5. Bouri, Elie & Gupta, Rangan & Hosseini, Seyedmehdi & Lau, Chi Keung Marco, 2018. "Does global fear predict fear in BRICS stock markets? Evidence from a Bayesian Graphical Structural VAR model," Emerging Markets Review, Elsevier, vol. 34(C), pages 124-142.
    6. Konstantakis, Konstantinos N. & Soklis, George & Michaelides, Panayotis G., 2017. "Tourism expenditures and crisis transmission: a general equilibrium GVAR analysis with network theory," LSE Research Online Documents on Economics 83531, London School of Economics and Political Science, LSE Library.
    7. Faryna, Oleksandr & Simola, Heli, 2021. "The transmission of international shocks to CIS economies: A global VAR approach," Economic Systems, Elsevier, vol. 45(2).
    8. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2018. "Debt dynamics in Europe: A Network General Equilibrium GVAR approach," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 175-202.
    9. Kyriakos Drivas & Claire Economidou & Konstantinos N. Konstantakis & Panayotis G. Michaelides, 2022. "Technological Leaders, Laggards and Spillovers: A Network GVAR Analysis," Open Economies Review, Springer, vol. 33(2), pages 231-269, April.
    10. Elie Bouri & Rangan Gupta & Seyedmehdi Hosseini & Chi Keung Marco Lau, 2017. "Does Global Fear Predict Fear in BRICS Stock Markets? Evidence from a Bayesian Graphical VAR Model," Working Papers 201704, University of Pretoria, Department of Economics.
    11. Samargandi, Nahla & Kutan, Ali M., 2016. "Private credit spillovers and economic growth: Evidence from BRICS countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 56-84.

  114. Dimitrios, Anastasiou & Helen, Louri & Mike, Tsionas, 2016. "Determinants of non-performing loans: Evidence from Euro-area countries," Finance Research Letters, Elsevier, vol. 18(C), pages 116-119.

    Cited by:

    1. Evangelos Charalambakis & Yiannis Dendramis & Elias Tzavalis, 2017. "On the determinants of NPLS: lessons from Greece," Working Papers 220, Bank of Greece.
    2. Claußen, Catharina & Platte, Daniel, 2023. "Evaluating the validity of regulatory interest rate risk measures – a simulation approach," Journal of Banking & Finance, Elsevier, vol. 154(C).
    3. Richard Reichel, 2024. "Determinants of Asset Value Adjustments: The Case of Germany’s Cooperative Banks," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 14(2), pages 1-7.
    4. Cândida Ferreira, 2022. "Determinants of Non-performing Loans: A Panel Data Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 28(3), pages 133-153, November.
    5. Suarez, Javier & Sánchez Serrano, Antonio, 2018. "Approaching non-performing loans from a macroprudential angle," Report of the Advisory Scientific Committee 7, European Systemic Risk Board.
    6. Liu, Suyi & Jin, Justin & Nainar, Khalid, 2023. "Does ESG performance reduce banks’ nonperforming loans?," Finance Research Letters, Elsevier, vol. 55(PA).
    7. Nicholas Garvin & Samuel Kurian & Mike Major & David Norman, 2022. "Macrofinancial Stress Testing on Australian Banks," RBA Research Discussion Papers rdp2022-03, Reserve Bank of Australia.
    8. Matteo Foglia, 2022. "Non-Performing Loans and Macroeconomics Factors: The Italian Case," Risks, MDPI, vol. 10(1), pages 1-13, January.
    9. Andreas Zervas & Apostolos Fasianos & Konstantinos Loizos, 2023. "The impact of home protection schemes on non-performing loans in Greece," Economics and Business Letters, Oviedo University Press, vol. 12(3), pages 186-202.
    10. Bogdan Florin FILIP, 2017. "Lessons From The Impact Of Internal And Macroeconomic Determinants Of Bad Loans In Cee Banks," EURINT, Centre for European Studies, Alexandru Ioan Cuza University, vol. 4, pages 198-212.
    11. Barra, Cristian & Ruggiero, Nazzareno, 2021. "Do microeconomic and macroeconomic factors influence Italian bank credit risk in different local markets? Evidence from cooperative and non-cooperative banks," Journal of Economics and Business, Elsevier, vol. 114(C).
    12. Hasna Chaibi, 2016. "Determinants of Problem Loans: Non-performing Loans vs. Loan Quality Deterioration," International Business Research, Canadian Center of Science and Education, vol. 9(10), pages 86-93, October.
    13. Dimitrios Anastasiou & Helen Louri & Mike Tsionas, 2019. "Nonperforming loans in the euro area: Are core–periphery banking markets fragmented?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 97-112, January.
    14. Onkar Shivraj Swami & B. Nethaji & Jyoti Prakash Sharma, 2022. "Determining Risk Factors that Diminish Asset Quality of Indian Commercial Banks," Global Business Review, International Management Institute, vol. 23(2), pages 372-384, April.
    15. S Zhou & D.D Tewari, 2018. "Political Institutions and Macroeconomic Factors as Determinants of Credit Risk in South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 10(6), pages 211-221.
    16. Maria Karadima & Helen Louri, 2021. "Determinants of Non-Performing Loans in Greece: the intricate role of fiscal expansion," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 160, Hellenic Observatory, LSE.
    17. Andreea Maura Bobiceanu & Ioana Georgiana Fä‚Rcaè˜, 2022. "Covid Crisis Effects On Non-Performing Loans In The Romanian Banking Market," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 30, pages 25-37, December.
    18. Anastasiou, Dimitrios, 2017. "Is ex-post credit risk affected by the cycles? The case of Italian banks," Research in International Business and Finance, Elsevier, vol. 42(C), pages 242-248.
    19. Mariagrazia Fallanca & Antonio Fabio Forgione & Edoardo Otranto, 2021. "Do the Determinants of Non-Performing Loans Have a Different Effect over Time? A Conditional Correlation Approach," JRFM, MDPI, vol. 14(1), pages 1-15, January.
    20. Albulena Shala & Valentin Toçi & Arben Mustafa, 2022. "Macroeconomic, Structural, and Bank-specific Determinants of Non-performing Loans in Central and Eastern Europe," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 70(5), pages 411-429, May.
    21. Konstantinos Drakos & Ioannis Malandrakis, 2021. "Global Versus Non-Global Banks: A Capital Ratios-Based Analysis," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 10(2), pages 5-22.
    22. Nurfilzah Arham & Mohd Shamlie Salisi & Rozita Uji Mohammed & Jasman Tuyon, 2020. "Impact of macroeconomic cyclical indicators and country governance on bank non-performing loans in Emerging Asia," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(4), pages 707-726, December.
    23. Pop, Ionuț Daniel & Cepoi, Cosmin Octavian & Anghel, Dan Gabriel, 2018. "Liquidity-threshold effect in non-performing loans," Finance Research Letters, Elsevier, vol. 27(C), pages 124-128.
    24. Nor, Amirudin Mohd & Masih, Mansur, 2017. "Do Islamic banks lead or lag conventional banks? Evidence from Malaysia," MPRA Paper 79425, University Library of Munich, Germany.
    25. Dimitrios Anastasiou & Zacharias Bragoudakis & Ioannis Malandrakis, 2019. "Non-performing loans, governance indicators and systemic liquidity risk: evidence from Greece," Working Papers 260, Bank of Greece.
    26. Tomasz Korol, 2021. "Evaluation of the Macro- and Micro-Economic Factors Affecting the Financial Energy of Households," Energies, MDPI, vol. 14(12), pages 1-14, June.
    27. Benjamin Hippert & André Uhde & Sascha Tobias Wengerek, 2019. "Determinants of CDS trading on major banks," Working Papers Dissertations 51, Paderborn University, Faculty of Business Administration and Economics.
    28. Zhang, Ailian & Wang, Shuyao & Lien, Donald & Yu, Chia-Feng (Jeffrey), 2023. "Are banks rewarded for financial consumer protection? Evidence from a quasi-natural experiment," Finance Research Letters, Elsevier, vol. 52(C).
    29. Faten Ben Bouheni & Hassan Obeid & Elena Margarint, 2022. "Nonperforming loan of European Islamic banks over the economic cycle," Annals of Operations Research, Springer, vol. 313(2), pages 773-808, June.
    30. Nina Vujanović & Nikola Fabris, 2021. "Does market competition affect all banks equally? Empirical evidence on Montenegro," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 10(2), pages 87-107.
    31. Özen Ercan & Hodžić Sabina & Yildirim Ahmet Eren, 2022. "The Linkage Between Fiscal Policy and Non-Performing Household Loans in Turkey," South East European Journal of Economics and Business, Sciendo, vol. 17(2), pages 113-124, December.
    32. Al-Khazali, Osamah M. & Mirzaei, Ali, 2017. "The impact of oil price movements on bank non-performing loans: Global evidence from oil-exporting countries," Emerging Markets Review, Elsevier, vol. 31(C), pages 193-208.
    33. Matěj Maivald & Petr Teplý, 2020. "The impact of low interest rates on banks' non-performing loans," FFA Working Papers 2.002, Prague University of Economics and Business, revised 25 Feb 2020.
    34. Laxmi Koju & Ram Koju & Shouyang Wang, 2018. "Does Banking Management Affect Credit Risk? Evidence from the Indian Banking System," IJFS, MDPI, vol. 6(3), pages 1-11, July.
    35. Peter Nderitu GITHAIGA, 2019. "Income Diversification, Market Power and Performance," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 3(2), pages 1-21.
    36. Luqman Hakim & Martono Martono, 2019. "Fundamental Role of Macro and Microeconomics to Profitability and the Implications on Stock Return: Evidence from Banking Companies on the Indonesia Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 9(6), pages 84-93.
    37. Changjun Zheng & Probir Kumar Bhowmik & Niluthpaul Sarker, 2019. "Industry-Specific and Macroeconomic Determinants of Non-Performing Loans: A Comparative Analysis of ARDL and VECM," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    38. Shakeel Ahmed & M. Ejaz Majeed & Eleftherios Thalassinos & Yannis Thalassinos, 2021. "The Impact of Bank Specific and Macro-Economic Factors on Non-Performing Loans in the Banking Sector: Evidence from an Emerging Economy," JRFM, MDPI, vol. 14(5), pages 1-14, May.
    39. Seyed Alireza Athari & Chafic Saliba & Danielle Khalife & Madonna Salameh-Ayanian, 2023. "The Role of Country Governance in Achieving the Banking Sector’s Sustainability in Vulnerable Environments: New Insight from Emerging Economies," Sustainability, MDPI, vol. 15(13), pages 1-15, July.
    40. Najihah Muhammad & Sharifah Faigah Syed Alwi & Nabihah Muhammad, 2020. "Credit Management in Full-Fledged Islamic Bank and Islamic Banking Window: Towards Achieving Maqasid Al-Shariah," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(3), pages 92-99, June.
    41. Schlam, Carina & Woyand, Corinna, 2023. "The rollout of internal credit risk models: Implications for the novel partial-use philosophy," Discussion Papers 07/2023, Deutsche Bundesbank.
    42. Maria Karadima & Helen Louri, 2022. "Government debt accumulation and non-performing loans: An ARDL bounds testing approach," Economics and Business Letters, Oviedo University Press, vol. 11(4), pages 150-160.
    43. Ciukaj Radosław & Kil Krzysztof, 2020. "Determinants of the non-performing loan ratio in the European Union banking sectors with a high level of impaired loans," Economics and Business Review, Sciendo, vol. 6(1), pages 22-45, March.
    44. Karadima, Maria & Louri, Helen, 2020. "Non-performing loans in the euro area: Does bank market power matter?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    45. Dimitris ANASTASIOU, 2022. "Management and Resolution Methods of Non-performing Loans: A Review of the Literature," Springer Books, in: Hachmi BEN AMEUR & Zied FTITI & Wael LOUHICHI & Jean-Luc PRIGENT (ed.), Crises and Uncertainty in the Economy, chapter 0, pages 187-201, Springer.
    46. Taghizadeh-Hesary, Farhad & Yoshino, Naoyuki & Fukuda, Lisa & Rasoulinezhad, Ehsan, 2021. "A model for calculating optimal credit guarantee fee for small and medium-sized enterprises," Economic Modelling, Elsevier, vol. 95(C), pages 361-373.
    47. Maria Karadima & Helen Louri, 2019. "Non-performing loans in the euro area: does market power matter?," Working Papers 271, Bank of Greece.
    48. Habib Ur Rahman & Adam Arian & John Sands, 2023. "Does Fiscal Consolidation Affect Non-Performing Loans? Global Evidence from Heavily Indebted Countries (HICs)," JRFM, MDPI, vol. 16(9), pages 1-15, September.
    49. Candida Ferreira, 2023. "The Influence of Bank Performance, Market Condition and Economic Growth on Non-Performing Loansa," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 9(1), pages 77-98, June.
    50. Ozili, Peterson K, 2017. "Non-performing loans and Financial Development: New Evidence," MPRA Paper 75964, University Library of Munich, Germany.
    51. Ardit Gjeçi & Matej Marinč & Vasja Rant, 2023. "Non-performing loans and bank lending behaviour," Risk Management, Palgrave Macmillan, vol. 25(1), pages 1-26, March.
    52. Cucinelli, Doriana & Battista, Maria Luisa Di & Marchese, Malvina & Nieri, Laura, 2018. "Credit risk in European banks: The bright side of the internal ratings based approach," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 213-229.
    53. Ozili, Peterson K & Salman, Asma & Ali, Qaisar, 2020. "The impact of foreign direct investment inflows on nonperforming loans: the case of UAE," MPRA Paper 115825, University Library of Munich, Germany.
    54. Tsaubin Chen & Chiang Ku Fan, 2019. "Non-performing Loans and Housing Prices in Taiwan," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(6), pages 1-4.
    55. Molnár, György & Berlinger, Edina & Dobránszky-Bartus, Katalin, 2021. "Lejárt tartozások fogságában [Overdue debt as a poverty trap]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 709-735.
    56. Alexandra Horobet & Magdalena Radulescu & Lucian Belascu & Sandra Maria Dita, 2021. "Determinants of Bank Profitability in CEE Countries: Evidence from GMM Panel Data Estimates," JRFM, MDPI, vol. 14(7), pages 1-23, July.
    57. Vidal-Tomás, David & Tedeschi, Gabriele & Ripollés, Jordi, 2020. "The desertion of rich countries and the mutual support of the poor ones: Preferential lending agreements among the PIGS," Finance Research Letters, Elsevier, vol. 34(C).
    58. Cutura, Jannic Alexander, 2018. "Debt holder monitoring and implicit guarantees: Did the BRRD improve market discipline?," SAFE Working Paper Series 232, Leibniz Institute for Financial Research SAFE.
    59. Segun Thompson Bolarinwa & Anthony Enisan Akinlo, 2022. "Determinants of nonperforming loans after recapitalization in the Nigerian banking industry: Does competition matter?," African Development Review, African Development Bank, vol. 34(3), pages 309-323, September.
    60. Anastasiou, Dimitrios, 2017. "The Interplay between Ex-post Credit Risk and the Cycles: Evidence from the Italian banks," MPRA Paper 79470, University Library of Munich, Germany.
    61. Kandela Ramesh, 2019. "Bad Loans of Public Sector Banks in India: A Panel Data Study," Emerging Economy Studies, International Management Institute, vol. 5(1), pages 22-30, May.
    62. Ghosh, Saibal, 2019. "Loan delinquency in banking systems: How effective are credit reporting systems?," Research in International Business and Finance, Elsevier, vol. 47(C), pages 220-236.
    63. Sascha Tobias Wengerek & Benjamin Hippert & André Uhde, 2019. "Risk allocation through securitization - Evidence from non-performing loans," Working Papers Dissertations 58, Paderborn University, Faculty of Business Administration and Economics.
    64. Teodor Hada & Nicoleta Bărbuță-Mișu & Iulia Cristina Iuga & Dorin Wainberg, 2020. "Macroeconomic Determinants of Nonperforming Loans of Romanian Banks," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    65. Ali, Mirzaei & Iness, Aguir, 2020. "Capital inflows and bank stability around the financial crisis: The mitigating role of macro-prudential policies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 69(C).
    66. Albaity, Mohamed & Mallek, Ray Saadaoui & Noman, Abu Hanifa Md., 2019. "Competition and bank stability in the MENA region: The moderating effect of Islamic versus conventional banks," Emerging Markets Review, Elsevier, vol. 38(C), pages 310-325.
    67. Ayrton Psaila & Jonathan Spiteri & Simon Grima, 2019. "The Impact of Non-Performing Loans on the Profitability of Listed Euro-Mediterranean Commercial Banks," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 166-196.
    68. Santiago Gamba-Santamaria & Luis Fernando Melo-Velandia & Camilo Orozco-Vanegas, 2021. "What can credit vintages tell us about non-performing loans?," Borradores de Economia 1154, Banco de la Republica de Colombia.
    69. Pop Ionuț-Daniel & Chicu Nicoleta & Răduțu Andrei, 2018. "Non-performing loans decision making in the Romanian banking system," Management & Marketing, Sciendo, vol. 13(1), pages 761-776, March.
    70. Aneta Kosztowniak, 2022. "Credit Policy of Commercial Banks in EU and the Asset Quality of Non-Financial Corporate Loan Portfolio in 2009-2021," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 563-582.
    71. Florian Manz, 2019. "Determinants of non-performing loans: What do we know? A systematic review and avenues for future research," Management Review Quarterly, Springer, vol. 69(4), pages 351-389, November.
    72. Mohammad Motasem ALrfai & Danilah Binti Salleh & Waeibrorheem Waemustafa, 2022. "Empirical Examination of Credit Risk Determinant of Commercial Banks in Jordan," Risks, MDPI, vol. 10(4), pages 1-11, April.
    73. Yaman Hajja, 2022. "Impact of bank capital on non‐performing loans: New evidence of concave capital from dynamic panel‐data and time series analysis in Malaysia," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 2921-2948, July.
    74. Lyazat TALIMOVA & Gauhar KALKABAYEVA, 2017. "Bank Lending under Macroeconomic Instability Analysis of the Situation in Kazakhstan," Journal of Advanced Research in Law and Economics, ASERS Publishing, vol. 8(4(26)), pages 1345-1349.
    75. Ijaz Hussain, 2017. "Corporate Financial Leverage, Asset Utilization and Nonperforming Loans in Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 22(1), pages 37-70, Jan-June.

  115. Emir Malikov & Subal C. Kumbhakar & Mike G. Tsionas, 2016. "A Cost System Approach to the Stochastic Directional Technology Distance Function with Undesirable Outputs: The Case of us Banks in 2001–2010," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1407-1429, November.
    See citations under working paper version above.
  116. Papageorgiou, Theofanis & Michaelides, Panayotis G. & Tsionas, Efthymios G., 2016. "Business cycle determinants and fiscal policy: A Panel ARDL approach for EMU," The Journal of Economic Asymmetries, Elsevier, vol. 13(C), pages 57-68.

    Cited by:

    1. Brown, Leanora & McFarlane, Adian & Campbell, Kaycea & Das, Anupam, 2020. "Remittances and CO2 emissions in Jamaica: An asymmetric modified environmental kuznets curve," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    2. Canh Phuc NGUYEN & Christophe SCHINCKUS, 2020. "The Spending Behavior of Government through the Lenses of Global Uncertainty and Economic Integration," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 35-57, July.
    3. Mawejje, Joseph & Odhiambo, Nicholas M, 2022. "Macroeconomic determinants of fiscal policy in east Africa: a panel causality analysis," Working Papers 29842, University of South Africa, Department of Economics.
    4. LAWAL Adedoyin Isola & AMOGU Ezinne Olufadesola & ADEOTI Johnson Olabode & IJAIYA Muftau Adeniyi, 2017. "Fraud And Business Cycle: Empirical Evidence From Fraudsters And Fraud Managers In Nigeria," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 12(1), pages 110-128, April.
    5. Marques, António Cardoso & Fuinhas, José Alberto & Pereira, Diogo Santos, 2019. "The dynamics of the short and long-run effects of public policies supporting renewable energy: A comparative study of installed capacity and electricity generation," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 188-206.
    6. Georgios A. Savvakis & Dimitris Kenourgios & Theofanis Papageorgiou, 2021. "To EMU or not to EMU: Can TFP “provoke” the capital structure puzzle of SMEs?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2595-2611, April.
    7. Pereira, Diogo Santos & Marques, António Cardoso & Fuinhas, José Alberto, 2019. "Are renewables affecting income distribution and increasing the risk of household poverty?," Energy, Elsevier, vol. 170(C), pages 791-803.
    8. Patrícia Hipólito Leal & António Cardoso Marques & Muhammad Shahbaz, 2021. "The role of globalisation, de jure and de facto, on environmental performance: evidence from developing and developed countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7412-7431, May.
    9. Marques, António Cardoso & Fuinhas, José Alberto & Pereira, Diogo André, 2018. "Have fossil fuels been substituted by renewables? An empirical assessment for 10 European countries," Energy Policy, Elsevier, vol. 116(C), pages 257-265.

  117. Polemis, Michael L. & Tsionas, Mike G., 2016. "An alternative semiparametric approach to the modelling of asymmetric gasoline price adjustment," Energy Economics, Elsevier, vol. 56(C), pages 384-388.

    Cited by:

    1. Carabalí , Jaime & Meneses , Luis & Perez, Alex & Rodriguez, Manuel, 2022. "Retail Prices of Gasoline and Asymmetric Adjustment to Wholesale Prices in Colombia," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 47(3), pages 73-105, September.
    2. Apergis, Nicholas & Vouzavalis, Grigorios, 2018. "Asymmetric pass through of oil prices to gasoline prices: Evidence from a new country sample," Energy Policy, Elsevier, vol. 114(C), pages 519-528.
    3. Dagoumas, Athanasios S. & Polemis, Michael L., 2020. "Carbon pass-through in the electricity sector: An econometric analysis," Energy Economics, Elsevier, vol. 86(C).
    4. Stavros Malkidis & Stilianos Fountas, 2020. "Liquid fuel price adjustment in Greece:a two-stage, threshold cointegration approach," Discussion Paper Series 2020_04, Department of Economics, University of Macedonia, revised May 2020.
    5. Dagoumas, Athanasios & Polemis, Michael, 2018. "Analysing Carbon Pass-Through Rate Mechanism in the Electricity Sector: Evidence from Greece," MPRA Paper 91067, University Library of Munich, Germany.
    6. Chen, Chaoyi & Polemis, Michael & Stengos, Thanasis, 2019. "Can exchange rate pass-through explain the asymmetric gasoline puzzle? Evidence from a pooled panel threshold analysis of the EU," Energy Economics, Elsevier, vol. 81(C), pages 1-12.
    7. Palazzi, Rafael Baptista & Meira, Erick & Klotzle, Marcelo Cabus, 2022. "The sugar-ethanol-oil nexus in Brazil: Exploring the pass-through of international commodity prices to national fuel prices," Journal of Commodity Markets, Elsevier, vol. 28(C).
    8. Hamid Baghestani & Jorg Bley, 2020. "Do directional predictions of US gasoline prices reveal asymmetries?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(2), pages 348-360, April.
    9. Bakhat, Mohcine & Rosselló, Jaume & Sansó, Andreu, 2022. "Price transmission between oil and gasoline and diesel: A new measure for evaluating time asymmetries," Energy Economics, Elsevier, vol. 106(C).
    10. Cook, Steven & Fosten, Jack, 2019. "Replicating rockets and feathers," Energy Economics, Elsevier, vol. 82(C), pages 139-151.
    11. Claudiu Tiberiu Albulescu & Mihai Ioan Mutascu, 2021. "Fuel price co-movements among France, Germany and Italy: A time-frequency investigation," Post-Print hal-03529585, HAL.
    12. Chen, Chaoyi & Polemis, Michael & Stengos, Thanasis, 2018. "On the Examination of Competition in the Petroleum Industry: A Pooled Panel Threshold Analysis," MPRA Paper 89671, University Library of Munich, Germany.
    13. Chuxiong Deng & Zhujun Jiang & Chuanwang Sun, 2018. "Estimating the Efficiency and Impacts of Petroleum Product Pricing Reforms in China," Sustainability, MDPI, vol. 10(4), pages 1-17, April.
    14. Jonathan E. Ogbuabor & Anthony Orji & Gladys C. Aneke & Manasseh O. Charles, 2019. "Did the global financial crisis alter the oil–gasoline price relationship?," Empirical Economics, Springer, vol. 57(4), pages 1171-1200, October.
    15. Lin, Winston T. & Chen, Yueh H. & Hung, TingShu, 2019. "A partial adjustment valuation approach with stochastic and dynamic speeds of partial adjustment to measuring and evaluating the business value of information technology," European Journal of Operational Research, Elsevier, vol. 272(2), pages 766-779.
    16. Ogbuabor, Jonathan E. & Ukwueze, Ezebuilo R. & Mba, Ifeoma C. & Ojonta, Obed I. & Orji, Anthony, 2023. "The asymmetric impact of economic policy uncertainty on global retail energy markets: Are the markets responding to the fear of the unknown?," Applied Energy, Elsevier, vol. 334(C).
    17. Shioji, Etsuro, 2021. "Pass-through of oil supply shocks to domestic gasoline prices: evidence from daily data," Energy Economics, Elsevier, vol. 98(C).
    18. Polemis, Michael L. & Tzeremes, Nickolaos G., 2019. "Competitive conditions and sectors’ productive efficiency: A conditional non-parametric frontier analysis," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1104-1118.
    19. Jonathan E. Ogbuabor & God'stime O. Eigbiremolen & Charles O. Manasseh & Ifeoma C. Mba, 2018. "Asymmetric Price Transmission and Rent‐seeking in Road Fuel Markets: A Comparative Study of South Africa and Selected Eurozone Countries," African Development Review, African Development Bank, vol. 30(3), pages 278-290, September.

  118. Efthymios G. Tsionas & Panayotis G. Michaelides, 2016. "A Spatial Stochastic Frontier Model with Spillovers: Evidence for Italian Regions," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(3), pages 243-257, July.

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    1. Cristina Polo & Julián Ramajo & Alejandro Ricci‐Risquete, 2021. "A stochastic semi‐non‐parametric analysis of regional efficiency in the European Union," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 7-24, February.
    2. Alejandro Puerta & Andr'es Ram'irez-Hassan, 2020. "Inferring hidden potentials in analytical regions: uncovering crime suspect communities in Medell\'in," Papers 2009.05360, arXiv.org.
    3. Skevas, Ioannis & Skevas, Theodoros, 2021. "A generalized true random-effects model with spatially autocorrelated persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1131-1142.
    4. Sadick Mohammed & Awudu Abdulai, 2022. "Do Egocentric information networks influence technical efficiency of farmers? Empirical evidence from Ghana," Journal of Productivity Analysis, Springer, vol. 58(2), pages 109-128, December.
    5. Hou, Zhezhi & Zhao, Shunan & Kumbhakar, Subal C., 2023. "The GMM estimation of semiparametric spatial stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1450-1464.
    6. Anthony J. Glass & Karligash Kenjegalieva, 2023. "Dynamic returns to scale and geography in U.S. banking," Papers in Regional Science, Wiley Blackwell, vol. 102(1), pages 53-85, February.
    7. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    8. Jacopo Canello & Francesco Vidoli, 2020. "Investigating space‐time patterns of regional industrial resilience through a micro‐level approach: An application to the Italian wine industry," Journal of Regional Science, Wiley Blackwell, vol. 60(4), pages 653-676, September.
    9. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    10. Fei Jin & Lung-fei Lee, 2020. "Asymptotic properties of a spatial autoregressive stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-40, December.
    11. Fusco, Elisa & Allegrini, Veronica, 2020. "The role of spatial interdependence in local government cost efficiency: An application to waste Italian sector," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    12. Theodoros Skevas & Jasper Grashuis, 2020. "Technical efficiency and spatial spillovers: Evidence from grain marketing cooperatives in the US Midwest," Agribusiness, John Wiley & Sons, Ltd., vol. 36(1), pages 111-126, January.
    13. Zenaida M Sumalde & Donald B. Villanueva & Valerien O Pede & Yolanda T Garcia & U-Primo E Rodriguez, 2017. "Assessment of Neighborhood and Spillover Effects on Technical Efficiency of Irrigated Rice Farmers," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 14(2), pages 103-125, December.
    14. Musau, Andrew & Kumbhakar, Subal C. & Mydland, Ørjan & Lien, Gudbrand, 2021. "Determinants of allocative and technical inefficiency in stochastic frontier models: An analysis of Norwegian electricity distribution firms," European Journal of Operational Research, Elsevier, vol. 288(3), pages 983-991.
    15. Klein, Nadja & Herwartz, Helmut & Kneib, Thomas, 2020. "Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales," Journal of Econometrics, Elsevier, vol. 214(2), pages 513-539.
    16. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    17. Thomas Graaff, 2020. "On the estimation of spatial stochastic frontier models: an alternative skew-normal approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 267-285, April.
    18. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
    19. Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.
    20. Bao Hoang Nguyen & Zhichao Wang & Valentin Zelenyuk, 2023. "Efficiency of Queensland Public Hospitals via Spatial Panel Stochastic Frontier Models," CEPA Working Papers Series WP102023, School of Economics, University of Queensland, Australia.
    21. Kutlu, Levent, 2018. "Estimating efficiency in a spatial autoregressive stochastic frontier model," Economics Letters, Elsevier, vol. 163(C), pages 155-157.
    22. Adjin, K. Christophe & Henning, Christian H. C. A., 2020. "Climate variability and farm inefficiency: A spatial stochastic frontier analysis of Senegalese agriculture," Working Papers of Agricultural Policy WP2020-09, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
    23. Skevas, Ioannis, 2020. "Inference in the spatial autoregressive efficiency model with an application to Dutch dairy farms," European Journal of Operational Research, Elsevier, vol. 283(1), pages 356-364.
    24. Glass, Anthony J. & Kenjegalieva, Karligash & Douch, Mustapha, 2020. "Uncovering spatial productivity centers using asymmetric bidirectional spillovers," European Journal of Operational Research, Elsevier, vol. 285(2), pages 767-788.
    25. E. Fusco & R. Benedetti & F. Vidoli, 2023. "Stochastic frontier estimation through parametric modelling of quantile regression coefficients," Empirical Economics, Springer, vol. 64(2), pages 869-896, February.
    26. Kevin Schneider & Ioannis Skevas & Alfons Oude Lansink, 2021. "Spatial Spillovers on Input‐specific Inefficiency of Dutch Arable Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 224-243, February.
    27. Jhorland Ayala‐García & Sandy Dall'erba, 2021. "The natural resource curse: Evidence from the Colombian municipalities," Papers in Regional Science, Wiley Blackwell, vol. 100(2), pages 581-602, April.
    28. Vidoli, Francesco & Cardillo, Concetta & Fusco, Elisa & Canello, Jacopo, 2016. "Spatial nonstationarity in the stochastic frontier model: An application to the Italian wine industry," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 153-164.
    29. Glass, Anthony J. & Kenjegalieva, Karligash, 2019. "A spatial productivity index in the presence of efficiency spillovers: Evidence for U.S. banks, 1992–2015," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1165-1179.

  119. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2016. "The good, the bad and the technology: Endogeneity in environmental production models," Journal of Econometrics, Elsevier, vol. 190(2), pages 315-327.

    Cited by:

    1. Kumbhakar, Subal C. & Badunenko, Oleg & Willox, Michael, 2022. "Do carbon taxes affect economic and environmental efficiency? The case of British Columbia’s manufacturing plants," MPRA Paper 118907, University Library of Munich, Germany.
    2. Lai, Hung-pin & Kumbhakar, Subal C., 2021. "A panel frontier system model with good and bad outputs and endogenous treatment decision," Economics Letters, Elsevier, vol. 198(C).
    3. Sushama Murty & R. Robert Russell, "undated". "Bad Outputs," Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi Discussion Papers 17-06, Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi, India.
    4. Tateishi, Henrique Ryosuke & Bragagnolo, Cassiano & de Faria, Rosane Nunes, 2020. "Economic and environmental efficiencies of greenhouse gases’ emissions under institutional influence," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    5. Sushama Murty & R. Robert Russell, 2016. "Modeling Emission-Generating Technologies: Reconciliation of Axiomatic and By-Production Approaches," Discussion Papers 1603, University of Exeter, Department of Economics.
    6. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "A novel model of costly technical efficiency," European Journal of Operational Research, Elsevier, vol. 268(2), pages 653-664.
    7. Finn R. Førsund, 2018. "Multi-equation modelling of desirable and undesirable outputs satisfying the materials balance," Empirical Economics, Springer, vol. 54(1), pages 67-99, February.
    8. Magambo, Isaiah & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Environmental and Technical Efficiency in Large Gold Mines in Developing Countries," MPRA Paper 108068, University Library of Munich, Germany.
    9. Magambo, Isaiah Hubert & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Dynamic Technical and Environmental Efficiency Performance of Large Gold Mines in Developing Countries," EconStor Preprints 235859, ZBW - Leibniz Information Centre for Economics.
    10. Tsionas, Mike G. & Andrikopoulos, Athanasios, 2020. "On a High-Dimensional Model Representation method based on Copulas," European Journal of Operational Research, Elsevier, vol. 284(3), pages 967-979.
    11. Stefan Seifert, 2016. "Semi-Parametric Measures of Scale Characteristics of German Natural Gas-Fired Electricity Generation," Discussion Papers of DIW Berlin 1571, DIW Berlin, German Institute for Economic Research.
    12. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    13. Emir Malikov & Gudbrand Lien, 2021. "Proxy Variable Estimation of Multiproduct Production Functions," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1878-1902, October.
    14. Deng, Zhongqi & Qin, Ming & Song, Shunfeng, 2020. "Re-study on Chinese city size and policy formation," China Economic Review, Elsevier, vol. 60(C).
    15. Mamatzakis, Emmanuel & matousek, roman & vu, anh, 2019. "The interplay between problem loans and Japanese bank productivity," MPRA Paper 92960, University Library of Munich, Germany.

  120. Atkinson, Scott E. & Tsionas, Mike G., 2016. "Directional distance functions: Optimal endogenous directions," Journal of Econometrics, Elsevier, vol. 190(2), pages 301-314.

    Cited by:

    1. Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    2. Chen, Zhenling & Zhang, Xiaoling & Ni, Guohua, 2020. "Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions," Energy Policy, Elsevier, vol. 139(C).
    3. Atkinson, Scott E. & Tsionas, Mike G., 2021. "Generalized estimation of productivity with multiple bad outputs: The importance of materials balance constraints," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1165-1186.
    4. Kuosmanen, Timo & Johnson, Andrew, 2017. "Modeling joint production of multiple outputs in StoNED: Directional distance function approach," European Journal of Operational Research, Elsevier, vol. 262(2), pages 792-801.
    5. Layer, Kevin & Johnson, Andrew L. & Sickles, Robin C. & Ferrier, Gary D., 2020. "Direction selection in stochastic directional distance functions," European Journal of Operational Research, Elsevier, vol. 280(1), pages 351-364.
    6. Ma, Chunbo & Hailu, Atakelty & You, Chaoying, 2019. "A critical review of distance function based economic research on China’s marginal abatement cost of carbon dioxide emissions," Energy Economics, Elsevier, vol. 84(C).
    7. Tsionas, Mike G., 2020. "Directional technology distance functions through duality," Economics Letters, Elsevier, vol. 190(C).
    8. Shuguang Lin & Paul Rouse & Ying-Ming Wang & Lin Lin & Zhen-Quan Zheng, 2023. "Performance measurement of nonhomogeneous Hong Kong hospitals using directional distance functions," Health Care Management Science, Springer, vol. 26(2), pages 330-343, June.
    9. Arabmaldar, A. & Sahoo, B.K. & Ghiyasi, M., 2023. "A generalized robust data envelopment analysis model based on directional distance function," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138962, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Song, Malin & Wang, Jianlin, 2018. "Environmental efficiency evaluation of thermal power generation in China based on a slack-based endogenous directional distance function model," Energy, Elsevier, vol. 161(C), pages 325-336.
    11. De Silva, Dakshina G. & Hubbard, Timothy P. & Schiller, Anita R. & Tsionas, Mike G., 2023. "Estimating outcomes in the presence of endogeneity and measurement error with an application to R&D," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 278-294.
    12. Assaf, A. George & Tsionas, Mike & Kock, Florian & Josiassen, Alexander, 2021. "A Bayesian non-parametric stochastic frontier model," Annals of Tourism Research, Elsevier, vol. 87(C).
    13. David Fang & Ming‐Ching Hsueh & Ching‐Ren Chiu, 2020. "An investigation of international hotel productivity considering quasifixed inputs and negative outputs," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 380-388, April.
    14. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "A novel model of costly technical efficiency," European Journal of Operational Research, Elsevier, vol. 268(2), pages 653-664.
    15. Zhongqi Deng & Qianyu Zhao & Helen X. H. Bao, 2020. "The Impact of Urbanization on Farmland Productivity: Implications for China’s Requisition–Compensation Balance of Farmland Policy," Land, MDPI, vol. 9(9), pages 1-24, September.
    16. Färe, Rolf & Pasurka, Carl & Vardanyan, Michael, 2017. "On endogenizing direction vectors in parametric directional distance function-based models," European Journal of Operational Research, Elsevier, vol. 262(1), pages 361-369.
    17. Vardanyan, Michael & Valdmanis, Vivian G. & Leleu, Hervé & Ferrier, Gary D., 2022. "Estimating technology characteristics of the U.S. hospital industry using directional distance functions with optimal directions," Omega, Elsevier, vol. 113(C).
    18. Deng, Zhongqi & Jiang, Nan & Pang, Ruizhi, 2021. "Factor-analysis-based directional distance function: The case of New Zealand hospitals," Omega, Elsevier, vol. 98(C).
    19. Yaryna Kolomiytseva, 2018. "Revisiting Transformation and Directional Technology Distance Functions," Papers 1812.10108, arXiv.org.
    20. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    21. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
    22. Du, Limin & Lu, Yunguo & Ma, Chunbo, 2022. "Carbon efficiency and abatement cost of China's coal-fired power plants," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    23. Emir Malikov & Gudbrand Lien, 2021. "Proxy Variable Estimation of Multiproduct Production Functions," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1878-1902, October.
    24. Tsionas, Mike G., 2023. "Joint production in stochastic non-parametric envelopment of data with firm-specific directions," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1336-1347.
    25. Scott E. Atkinson & Mike G. Tsionas, 2018. "Shadow directional distance functions with bads: GMM estimation of optimal directions and efficiencies," Empirical Economics, Springer, vol. 54(1), pages 207-230, February.
    26. Tsionas, Mike G., 2020. "On a model of environmental performance and technology gaps," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1141-1152.
    27. Walter Briec & Audrey Dumas & Kristiaan Kerstens & Agathe Stenger, 2021. "Generalised Commensurability Properties of Efficiency Measures: Implications for Productivity Indicators," Working Papers 2021-EQM-01, IESEG School of Management.
    28. Kumbhakar, Subal C. & Tsionas, Mike G., 2021. "Dissections of input and output efficiency: A generalized stochastic frontier model," International Journal of Production Economics, Elsevier, vol. 232(C).
    29. Tziogkidis, Panagiotis & Philippas, Dionisis & Tsionas, Mike G., 2020. "Multidirectional conditional convergence in European banking," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 88-106.
    30. Barnabé Walheer, 2019. "Dynamic directional nonparametric profit efficiency analysis for a single decision-making unit: an aggregation approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(4), pages 1123-1149, December.
    31. Atkinson, Scott E. & Primont, Daniel & Tsionas, Mike G., 2018. "Statistical inference in efficient production with bad inputs and outputs using latent prices and optimal directions," Journal of Econometrics, Elsevier, vol. 204(2), pages 131-146.
    32. Deng, Zhongqi & Song, Shunfeng & Jiang, Nan & Pang, Ruizhi, 2023. "Sustainable development in China? A nonparametric decomposition of economic growth," China Economic Review, Elsevier, vol. 81(C).

  121. Tsionas, Efthymios G. & Assaf, A. George & Matousek, Roman, 2015. "Dynamic technical and allocative efficiencies in European banking," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 130-139.

    Cited by:

    1. Degl’Innocenti, Marta & Matousek, Roman & Sevic, Zeljko & Tzeremes, Nickolaos G., 2017. "Bank efficiency and financial centres: Does geographical location matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 188-198.
    2. Maria Elisabete Neves & Catarina Proença & António Dias, 2020. "Bank Profitability and Efficiency in Portugal and Spain: A Non-Linearity Approach," JRFM, MDPI, vol. 13(11), pages 1-19, November.
    3. Corbet, Shaen & Cumming, Douglas J. & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2022. "Have crisis-induced banking supports influenced European bank performance, resilience and price discovery?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    4. Maria Elisabete Duarte Neves & Maria Do Castelo Gouveia & Catarina Alexandra Neves Proença, 2020. "European Bank’s Performance and Efficiency," JRFM, MDPI, vol. 13(4), pages 1-17, April.
    5. Gulati, Rachita, 2022. "Global and local banking crises and risk-adjusted efficiency of Indian banks: Are the impacts really perspective-dependent?," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 23-39.
    6. Aggelopoulos, Eleftherios & Georgopoulos, Antonios, 2017. "Bank branch efficiency under environmental change: A bootstrap DEA on monthly profit and loss accounting statements of Greek retail branches," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1170-1188.
    7. Le, Minh & Hoang, Vincent & Wilson, Clevo & Managi, Shunsuke, 2019. "Net stable funding ratio and profit efficiency of commercial banks in the US," MPRA Paper 107179, University Library of Munich, Germany, revised 16 May 2020.
    8. Kevork, Ilias S. & Pange, Jenny & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2017. "Estimating Malmquist productivity indexes using probabilistic directional distances: An application to the European banking sector," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1125-1140.
    9. Mansour, Rana & El Moussawi, Chawki, 2020. "Efficiency, technical progress and productivity of Arab banks: A non-parametric approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 191-208.
    10. Degl'Innocenti, Marta & Grant, Kevin & Šević, Aleksandar & Tzeremes, Nickolaos G., 2018. "Financial stability, competitiveness and banks' innovation capacity: Evidence from the Global Financial Crisis," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 35-46.
    11. Hidemichi Fujii & Shunsuke Managi & Roman Matousek & Aarti Rughoo, 2018. "Bank efficiency, productivity, and convergence in EU countries: a weighted Russell directional distance model," The European Journal of Finance, Taylor & Francis Journals, vol. 24(2), pages 135-156, January.
    12. Ilias S. Kevork & Christos Kollias & Panayiotis Tzeremes & Nickolaos G. Tzeremes, 2018. "European financial crisis and bank productivity: evidence from Eastern European Countries," Applied Economics Letters, Taylor & Francis Journals, vol. 25(4), pages 283-289, February.
    13. Dincer, Hasan & Hacioglu, Umit & Tatoglu, Ekrem & Delen, Dursun, 2019. "Developing a hybrid analytics approach to measure the efficiency of deposit banks," Journal of Business Research, Elsevier, vol. 104(C), pages 131-145.
    14. Belasri, Sanaa & Gomes, Mathieu & Pijourlet, Guillaume, 2020. "Corporate social responsibility and bank efficiency," Journal of Multinational Financial Management, Elsevier, vol. 54(C).
    15. Francesca Pampurini & Anna Grazia Quaranta, 2018. "Sustainability and Efficiency of the European Banking Market after the Global Crisis: The Impact of Some Strategic Choices," Sustainability, MDPI, vol. 10(7), pages 1-16, June.
    16. Tomáš Heryán & Iveta Palečková & Nemanja Radić, 2015. "Comparison of monetary policy effects on lending channel in EMU and non-EMU countries: Evidence from period 1999-2012," Working Papers 0003, Silesian University, School of Business Administration.
    17. Pérez-Cárceles, María Concepción & Gómez-García, Juan & Gómez Gallego, Juan Cándido, 2019. "Goodness of governance effect on European banking efficiency," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 29-40.

  122. Assaf, A. George & Tsionas, Efthymios G., 2015. "Incorporating destination quality into the measurement of tourism performance: A Bayesian approach," Tourism Management, Elsevier, vol. 49(C), pages 58-71.

    Cited by:

    1. Tomáš Dania & Kateřina Mlejnková & Ida Rašovská, 2019. "Quality Destination Management," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(4), pages 1027-1037.
    2. Erda Wang & Jianhua Wei & Jiawei Zhu, 2017. "The effects of improving coastal park attributes on the recreation demand—A case study in Dalian China," Tourism Economics, , vol. 23(1), pages 133-149, February.
    3. Skare, Marinko & Gavurova, Beata & Polishchuk, Volodymyr & Nawazish, Mirza, 2023. "A fuzzy model for evaluating the level of satisfaction of tourists regarding accommodation establishments according to social class on the example of V4 countries," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    4. Jack Daly & Gary Gereffi, 2017. "Tourism global value chains and Africa," WIDER Working Paper Series wp-2017-17, World Institute for Development Economic Research (UNU-WIDER).
    5. Della Corte, Valentina & Aria, Massimo, 2016. "Coopetition and sustainable competitive advantage. The case of tourist destinations," Tourism Management, Elsevier, vol. 54(C), pages 524-540.
    6. Tiziana Cuccia & Calogero Guccio & Ilde Rizzo, 2017. "UNESCO sites and performance trend of Italian regional tourism destinations," Tourism Economics, , vol. 23(2), pages 316-342, March.
    7. Oscar Claveria, 2017. "“What really matters is the economic performance: Positioning tourist destinations by means of perceptual maps," IREA Working Papers 201713, University of Barcelona, Research Institute of Applied Economics, revised Jun 2017.
    8. Laurent Botti & Sylvain Petit & Linjia Zhang, 2020. "Strategic decision concerning tourist origins portfolio: A decision process based on the ELECTRE method and applied to French Polynesia," Post-Print hal-02401461, HAL.
    9. Calogero Guccio & Domenico Lisi & Marco Martorana & Anna Mignosa, 2017. "On the role of cultural participation in tourism destination performance: an assessment using robust conditional efficiency approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(2), pages 129-154, May.
    10. Yasuo Ohe & Nicolas Peypoch, 2016. "Efficiency analysis of Japanese Ryokans," Tourism Economics, , vol. 22(6), pages 1261-1273, December.
    11. Martina Kosikova & Petra Vasanicova & Eva Litavcova, 2019. "Analysis of aspects of the tourism development in Slovakia in the Context of the European Space," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 15(2), pages 127-137.
    12. Assaf, A. George & Tsionas, Mike, 2018. "The estimation and decomposition of tourism productivity," Tourism Management, Elsevier, vol. 65(C), pages 131-142.
    13. Guccio, Calogero & Mazza, Isidoro & Mignosa, Anna & Rizzo, Ilde, 2018. "A round trip on decentralization in the tourism sector," Annals of Tourism Research, Elsevier, vol. 72(C), pages 140-155.
    14. Yasuo Ohe, 2022. "Investigating farmer’s identity and efficiency of tourism-oriented farm diversification," Tourism Economics, , vol. 28(2), pages 535-558, March.
    15. Peng, Hongsong & Zhang, Jinhe & Lu, Lin & Tang, Guorong & Yan, Bingjin & Xiao, Xiao & Han, Ya, 2017. "Eco-efficiency and its determinants at a tourism destination: A case study of Huangshan National Park, China," Tourism Management, Elsevier, vol. 60(C), pages 201-211.

  123. Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Tsionas, Efthymios G. & Minou, Chrysanthi, 2015. "System estimation of GVAR with two dominants and network theory: Evidence for BRICs," Economic Modelling, Elsevier, vol. 51(C), pages 604-616.

    Cited by:

    1. Konstantinos N. Konstantakis & Panayotis G. Michaelides & Livia Chatzieleftheriou & Arsenios‐Georgios N. Prelorentzos, 2022. "Crisis and the Chinese miracle: A network—GVAR model," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 900-921, July.
    2. Sailan Hu & Rongrong Li, 2021. "Investigating the Effects of the United States’ Economic Slowdown Related to the COVID-19 Pandemic on Energy Consumption in Other Countries—A Global Vector Autoregressive Model," Energies, MDPI, vol. 14(11), pages 1-25, May.
    3. Hübler, Michael, 2016. "A new trade network theory: What economists can learn from engineers," Economic Modelling, Elsevier, vol. 55(C), pages 115-126.
    4. Considine, Jennifer & Galkin, Phillip & Hatipoglu, Emre & Aldayel, Abdullah, 2023. "The effects of a shock to critical minerals prices on the world oil price and inflation," Energy Economics, Elsevier, vol. 127(PB).
    5. Konstantakis, Konstantinos N. & Soklis, George & Michaelides, Panayotis G., 2017. "Tourism expenditures and crisis transmission: a general equilibrium GVAR analysis with network theory," LSE Research Online Documents on Economics 83531, London School of Economics and Political Science, LSE Library.
    6. Özge BARIŞ-TÜZEMEN & Samet TÜZEMEN, 2019. "The Relationship between Unemployment and Growth: Evidence from Turkish Manufacturing Industry," Sosyoekonomi Journal, Sosyoekonomi Society.
    7. Qingru Sun & Xiangyun Gao & Shaobo Wen & Sida Feng & Ze Wang, 2019. "Modeling the impulse response complex network for studying the fluctuation transmission of price indices," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 835-858, December.

  124. Tran, Kien C. & Tsionas, Efthymios G., 2015. "Endogeneity in stochastic frontier models: Copula approach without external instruments," Economics Letters, Elsevier, vol. 133(C), pages 85-88.

    Cited by:

    1. Christine Amsler & Peter Schmidt & Wen-Jen Tsay, 2019. "Evaluating the CDF of the distribution of the stochastic frontier composed error," Journal of Productivity Analysis, Springer, vol. 52(1), pages 29-35, December.
    2. Centorrino, Samuele & Pérez-Urdiales, María, 2023. "Maximum likelihood estimation of stochastic frontier models with endogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 82-105.
    3. Graziella Bonanno & Domenico De Giovanni & Filippo Domma, 2015. "The “Wrong Skewness” Problem: A Re-Specification Of Stochastic Frontiers," Working Papers 201502, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    4. Levent Kutlu, 2022. "Spatial stochastic frontier model with endogenous weighting matrix," Empirical Economics, Springer, vol. 63(4), pages 1947-1968, October.
    5. Ma, Wanglin & Renwick, Alan & Bicknell, Kathryn, 2018. "Feed Use Intensification and Technical Efficiency of Dairy Farms in New Zealand," 2018 Annual Meeting, August 5-7, Washington, D.C. 274394, Agricultural and Applied Economics Association.
    6. Kutlu, Levent & Nair-Reichert, Usha, 2022. "Executive compensation and the potential for additional efficiency gains: Evidence from the Indian manufacturing sector," Economic Modelling, Elsevier, vol. 114(C).
    7. Xu, Mengmeng & Tan, Ruipeng & He, Xinju, 2022. "How does economic agglomeration affect energy efficiency in China?: Evidence from endogenous stochastic frontier approach," Energy Economics, Elsevier, vol. 108(C).
    8. Malikov, Emir, 2016. "Estimating Multi-Product Production Functions and Productivity using Control Functions," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235108, Agricultural and Applied Economics Association.
    9. Guarini, Giulio & Laureti, Tiziana & Garofalo, Giuseppe, 2020. "Socio-institutional determinants of educational resource efficiency according to the capability approach: An endogenous stochastic frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    10. Yang Yu & Edward C. Jaenicke, 2020. "Estimating Food Waste as Household Production Inefficiency," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 525-547, March.
    11. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    12. Mustafa U. Karakaplan & Levent Kutlu, 2019. "School district consolidation policies: endogenous cost inefficiency and saving reversals," Empirical Economics, Springer, vol. 56(5), pages 1729-1768, May.
    13. Artem Prokhorov & Kien C. Tran & Mike G. Tsionas, 2021. "Estimation of semi- and nonparametric stochastic frontier models with endogenous regressors," Empirical Economics, Springer, vol. 60(6), pages 3043-3068, June.
    14. Christine Amsler & Artem Prokhorov & Peter Schmidt, 2021. "A new family of copulas, with application to estimation of a production frontier system," Journal of Productivity Analysis, Springer, vol. 55(1), pages 1-14, February.
    15. Bernhard Dalheimer & Christoph Kubitza & Bernhard Brümmer, 2022. "Technical efficiency and farmland expansion: Evidence from oil palm smallholders in Indonesia," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1364-1387, August.
    16. Hian Teck Hoon & Margarita Katsimi & Gylfi Zoega, 2023. "Investment and the long swings of unemployment," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(3), pages 611-632, July.
    17. Dolšak, Janez & Hrovatin, Nevenka & Zorić, Jelena, 2022. "Estimating the efficiency in overall energy consumption: Evidence from Slovenian household-level data," Energy Economics, Elsevier, vol. 114(C).
    18. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2017. "Endogenous Environmental Variables In Stochastic Frontier Models," Working Papers 2017-02, University of Sydney Business School, Discipline of Business Analytics.
    19. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2020. "A spatial stochastic frontier model with endogenous frontier and environmental variables," European Journal of Operational Research, Elsevier, vol. 286(1), pages 389-399.
    20. Mustafa U. Karakaplan & Levent Kutlu, 2019. "Estimating market power using a composed error model," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(4), pages 489-510, September.
    21. Arisara Romyen & Chonrada Nunti & Paramin Neranon, 2023. "Trade efficiency under FTA for Thailand’s agricultural exports: copula-based gravity stochastic frontier model," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 12(1), pages 1-17, December.
    22. Rouven E. Haschka & Helmut Herwartz, 2022. "Endogeneity in pharmaceutical knowledge generation: An instrument‐free copula approach for Poisson frontier models," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 942-960, November.
    23. Haschka, Rouven E. & Herwartz, Helmut, 2020. "Innovation efficiency in European high-tech industries: Evidence from a Bayesian stochastic frontier approach," Research Policy, Elsevier, vol. 49(8).
    24. Wondmagegn Tirkaso & Atakelty Hailu, 2022. "Does neighborhood matter? Spatial proximity and farmers’ technical efficiency," Agricultural Economics, International Association of Agricultural Economists, vol. 53(3), pages 374-386, May.
    25. William C. Horrace & Hyunseok Jung, 2018. "Stochastic frontier models with network selectivity," Journal of Productivity Analysis, Springer, vol. 50(3), pages 101-116, December.
    26. Emir Malikov & Gudbrand Lien, 2021. "Proxy Variable Estimation of Multiproduct Production Functions," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1878-1902, October.
    27. Alecos Papadopoulos, 2021. "Measuring the effect of management on production: a two-tier stochastic frontier approach," Empirical Economics, Springer, vol. 60(6), pages 3011-3041, June.
    28. David Zimmer, 2018. "Using copulas to estimate the coefficient of a binary endogenous regressor in a Poisson regression: Application to the effect of insurance on doctor visits," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 545-556, March.
    29. Kim, Namil & Kim, Wonjoon, 2018. "Do your social media lead you to make social deal purchases? Consumer-generated social referrals for sales via social commerce," International Journal of Information Management, Elsevier, vol. 39(C), pages 38-48.
    30. Sylvia Beatriz Guillermo Peon & Israel Vargas Casimiro, 2017. "Recaudacion potencial, eficiencia recaudatoria y transferencias federales: Un analisis para las entidades federativas en Mexico utilizando el modelo de frontera estocastica," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 14(1), pages 35-71, Enero-Jun.
    31. Alecos Papadopoulos & Christopher F. Parmeter & Subal C. Kumbhakar, 2021. "Modeling dependence in two-tier stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 56(2), pages 85-101, December.
    32. Levent Kutlu & Ran Wang, 2018. "Estimation of cost efficiency without cost data," Journal of Productivity Analysis, Springer, vol. 49(2), pages 137-151, June.
    33. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2019. "A time-varying true individual effects model with endogenous regressors," Journal of Econometrics, Elsevier, vol. 211(2), pages 539-559.
    34. Lai, Hung-pin & Kumbhakar, Subal C., 2019. "Technical and allocative efficiency in a panel stochastic production frontier system model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 255-265.
    35. Mustafa U. Karakaplan & Levent Kutlu, 2017. "Handling Endogeneity in Stochastic Frontier Analysis," Economics Bulletin, AccessEcon, vol. 37(2), pages 889-901.
    36. Mamonov Mikhail E. & Parmeter Christopher F. & Prokhorov Artem B., 2022. "Dependence modeling in stochastic frontier analysis," Dependence Modeling, De Gruyter, vol. 10(1), pages 123-144, January.
    37. Haschka, Rouven E. & Herwartz, Helmut & Struthmann, Philipp & Tran, Viet Tuan & Walle, Yabibal M., 2022. "The joint effects of financial development and the business environment on firm growth: Evidence from Vietnam," Journal of Comparative Economics, Elsevier, vol. 50(2), pages 486-506.
    38. Tran, Kien C. & Tsionas, Mike G., 2016. "On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors," Economics Letters, Elsevier, vol. 147(C), pages 19-22.
    39. Giampiero Marra & Rosalba Radice & David M. Zimmer, 2020. "Estimating the binary endogenous effect of insurance on doctor visits by copula‐based regression additive models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 953-971, August.
    40. Lungelo P. Cele & Thia Hennessy & Fiona Thorne, 2023. "Regional technical efficiency rankings and their determinants in the Irish dairy industry: A stochastic meta‐frontier analysis," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 727-743, July.
    41. Alecos Papadopoulos, 2021. "Stochastic frontier models using the Generalized Exponential distribution," Journal of Productivity Analysis, Springer, vol. 55(1), pages 15-29, February.
    42. Zhai Jian & James Robert & Prokhorov Artem, 2022. "Technical and allocative inefficiency in production systems: a vine copula approach," Dependence Modeling, De Gruyter, vol. 10(1), pages 145-158, January.
    43. Arabinda Das, 2021. "Copula-based Stochastic Cost Frontier with Correlated Technical and Allocative Inefficiency," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(2), pages 207-222, June.

  125. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Vouldis, Angelos T. & Konstantakis, Konstantinos N., 2015. "Global approximation to arbitrary cost functions: A Bayesian approach with application to US banking," European Journal of Operational Research, Elsevier, vol. 241(1), pages 148-160.

    Cited by:

    1. Tsionas, Mike G., 2020. "Bounded rationality and thick frontiers in stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 284(2), pages 762-768.
    2. Doumpos, Michalis & Zopounidis, Constantin & Gounopoulos, Dimitrios & Platanakis, Emmanouil & Zhang, Wenke, 2023. "Operational research and artificial intelligence methods in banking," European Journal of Operational Research, Elsevier, vol. 306(1), pages 1-16.
    3. Tsionas, Mike G. & Andrikopoulos, Athanasios, 2020. "On a High-Dimensional Model Representation method based on Copulas," European Journal of Operational Research, Elsevier, vol. 284(3), pages 967-979.
    4. Tsionas, Mike G. & Michaelides, Panayotis G., 2017. "Neglected chaos in international stock markets: Bayesian analysis of the joint return–volatility dynamical system," LSE Research Online Documents on Economics 80749, London School of Economics and Political Science, LSE Library.
    5. Tsionas, Mike G. & Michaelides, Panayotis G., 2017. "Bayesian analysis of chaos: The joint return-volatility dynamical system," MPRA Paper 80632, University Library of Munich, Germany.
    6. Anthony J. Glass & Amangeldi Kenjegaliev & Karligash Kenjegalieva, 2022. "Comparisons of deposit types and implications of the financial crisis: Evidence for U.S. banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 641-664, January.
    7. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "Smooth approximations to monotone concave functions in production analysis: An alternative to nonparametric concave least squares," European Journal of Operational Research, Elsevier, vol. 271(3), pages 797-807.
    8. Preciado Arreola, José Luis & Johnson, Andrew L. & Chen, Xun C. & Morita, Hiroshi, 2020. "Estimating stochastic production frontiers: A one-stage multivariate semiparametric Bayesian concave regression method," European Journal of Operational Research, Elsevier, vol. 287(2), pages 699-711.
    9. Konstantinos N. Konstantakis & Panagiotis T. Cheilas & Ioannis G. Melissaropoulos & Panos Xidonas & Panayotis G. Michaelides, 2023. "Supply chains and fake news: a novel input–output neural network approach for the US food sector," Annals of Operations Research, Springer, vol. 327(2), pages 779-794, August.

  126. Mamatzakis, Emmanuel & Tsionas, Mike G. & Kumbhakar, Subal C. & Koutsomanoli-Filippaki, Anastasia, 2015. "Does labour regulation affect technical and allocative efficiency? Evidence from the banking industry," Journal of Banking & Finance, Elsevier, vol. 61(S1), pages 84-98.

    Cited by:

    1. Kutlu, Levent & Sickles, Robin & Tsionas, Mike G., 2019. "Heterogeneous Decision-Making and Market Power," Working Papers 19-008, Rice University, Department of Economics.
    2. Emmanuel C. Mamatzakis & Mike G. Tsionas, 2021. "A Bayesian panel stochastic volatility measure of financial stability," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5363-5384, October.
    3. Albalate, Daniel & Rosell, Jordi, 2019. "On the efficiency of toll motorway companies in Spain," Research in Transportation Economics, Elsevier, vol. 76(C).
    4. Tsionas, Euthimios G. & Mamatzakis, Emmanuel C., 2017. "Adjustment costs in the technical efficiency: An application to global banking," European Journal of Operational Research, Elsevier, vol. 256(2), pages 640-649.
    5. Maria Elisabete Neves & Catarina Proença & António Dias, 2020. "Bank Profitability and Efficiency in Portugal and Spain: A Non-Linearity Approach," JRFM, MDPI, vol. 13(11), pages 1-19, November.
    6. Emmanuel Mamatzakis & Christos Triantopoulos, 2022. "Allocative and technical efficiency of social banks vis a vis conventional banks," Economics Bulletin, AccessEcon, vol. 42(4), pages 1817-1825.
    7. Levent Kutlu & Robin C. Sickles & Mike G. Tsionas & Emmanuel Mamatzakis, 2022. "Heterogeneous decision-making and market power: an application to Eurozone banks," Empirical Economics, Springer, vol. 63(6), pages 3061-3092, December.
    8. Mamatzakis, Emmanuel & Bagntasarian, Anna, 2019. "The nexus between underlying dynamics of bank capital buffer and performance," MPRA Paper 92961, University Library of Munich, Germany.
    9. James B. ANG & Per G. Fredriksson, 2016. "Statehood Experience, Legal Traditions and Climate Change Policies," Economic Growth Centre Working Paper Series 1610, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    10. Tsionas, Mike G. & Mamatzakis, Emmanuel & Ongena, Steven, 2020. "Does risk aversion affect bank output loss? The case of the Eurozone," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1127-1145.
    11. Daniel Albalate & Jordi Rosell, 2016. "Persistent and transient efficiency on the stochastic production and cost frontiers – an application to the motorway sector," Working Papers XREAP2016-04, Xarxa de Referència en Economia Aplicada (XREAP), revised Oct 2016.
    12. Carolina Ortega Londono, 2018. "Transmission of Monetary Policy and Bank Heterogeneity in Colombia," Documentos de Trabajo de Valor Público 16792, Universidad EAFIT.
    13. Carolina Ortega Londono & Diego Restrepo, 2018. "Transmission of Monetary Policy and Bank Heterogeneity in Colombia," Documentos de Trabajo de Valor Público 16987, Universidad EAFIT.
    14. Christos Agiakloglou & Michael Polemis, 2018. "The Impact of Structural Reforms on Telecommunications Performance," Journal of Industry, Competition and Trade, Springer, vol. 18(2), pages 209-222, June.
    15. Mamatzakis, Emmanuel & matousek, roman & vu, anh, 2019. "The interplay between problem loans and Japanese bank productivity," MPRA Paper 92960, University Library of Munich, Germany.
    16. Emmanuel Mamatzakis & Panagiotis Pegkas & Christos Staikouras, 2023. "Labour market regulations and efficiency in tourism industry," Tourism Economics, , vol. 29(4), pages 1032-1054, June.

  127. Mamatzakis, Emmanuel & Tsionas, Mike G., 2015. "How are market preferences shaped? The case of sovereign debt of stressed euro-area countries," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 106-116.

    Cited by:

    1. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    2. Mamatzakis, Emmanuel & Bagntasarian, Anna, 2019. "The nexus between underlying dynamics of bank capital buffer and performance," MPRA Paper 92961, University Library of Munich, Germany.
    3. Panagiotis Pegkas, 2018. "The Effect of Government Debt and Other Determinants on Economic Growth: The Greek Experience," Economies, MDPI, vol. 6(1), pages 1-19, February.
    4. Mamatzakis, Emmanuel & matousek, roman & vu, anh, 2019. "The interplay between problem loans and Japanese bank productivity," MPRA Paper 92960, University Library of Munich, Germany.

  128. Emir Malikov & Subal C. Kumbhakar & Efthymios G. Tsionas, 2015. "Bayesian Approach to Disentangling Technical and Environmental Productivity," Econometrics, MDPI, vol. 3(2), pages 1-23, June.
    See citations under working paper version above.
  129. Konstantinos Konstantakis & Theofanis Papageorgiou & Panayotis Michaelides & Efthymios Tsionas, 2015. "Economic Fluctuations and Fiscal Policy in Europe: A Political Business Cycles Approach Using Panel Data and Clustering (1996–2013)," Open Economies Review, Springer, vol. 26(5), pages 971-998, November.

    Cited by:

    1. Zhang, Weike & Zhang, Xueyuan & Tian, Xiaoli & Sun, Fengwei, 2021. "Economic policy uncertainty nexus with corporate risk-taking: The role of state ownership and corruption expenditure," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).

  130. Efthymios G. Tsionas & Subal C. Kumbhakar & Emir Malikov, 2015. "Estimation of Input Distance Functions: A System Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(5), pages 1478-1493.
    See citations under working paper version above.
  131. Manthos Delis & Maria Iosifidi & Efthymios G. Tsionas, 2014. "On the Estimation of Marginal Cost," Operations Research, INFORMS, vol. 62(3), pages 543-556, June.
    See citations under working paper version above.
  132. Tsionas, Efthymios G. & George Assaf, A., 2014. "Short-run and long-run performance of international tourism: Evidence from Bayesian dynamic models," Tourism Management, Elsevier, vol. 42(C), pages 22-36.

    Cited by:

    1. Assaf, A. George & Tsionas, Efthymios G., 2015. "Incorporating destination quality into the measurement of tourism performance: A Bayesian approach," Tourism Management, Elsevier, vol. 49(C), pages 58-71.
    2. Alberca-Oliver, Pilar & Rodríguez-Oromendía, Ainhoa & Parte-Esteban, Laura, 2015. "Measuring the efficiency of trade shows: A Spanish case study," Tourism Management, Elsevier, vol. 47(C), pages 127-137.
    3. Huang, Chin-wei, 2018. "Assessing the performance of tourism supply chains by using the hybrid network data envelopment analysis model," Tourism Management, Elsevier, vol. 65(C), pages 303-316.
    4. Tiziana Cuccia & Calogero Guccio & Ilde Rizzo, 2017. "UNESCO sites and performance trend of Italian regional tourism destinations," Tourism Economics, , vol. 23(2), pages 316-342, March.
    5. Sainaghi, Ruggero & Phillips, Paul & Zavarrone, Emma, 2017. "Performance measurement in tourism firms: A content analytical meta-approach," Tourism Management, Elsevier, vol. 59(C), pages 36-56.
    6. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    7. Calogero Guccio & Domenico Lisi & Marco Martorana & Anna Mignosa, 2017. "On the role of cultural participation in tourism destination performance: an assessment using robust conditional efficiency approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(2), pages 129-154, May.
    8. Kao, Ta-Wei (Daniel) & Simpson, N.C. & Shao, Benjamin B.M. & Lin, Winston T., 2017. "Relating supply network structure to productive efficiency: A multi-stage empirical investigation," European Journal of Operational Research, Elsevier, vol. 259(2), pages 469-485.
    9. Corne, Aurélie & Peypoch, Nicolas, 2020. "On the determinants of tourism performance," Annals of Tourism Research, Elsevier, vol. 85(C).
    10. Yuan Zhao & Xinyang Wu, 2023. "The Spatiotemporal Relationship between Tourism Eco-Efficiency and Economic Resilience from Coupling Perspectives in China," Sustainability, MDPI, vol. 15(13), pages 1-17, June.
    11. Assaf, A. George & Tsionas, Mike, 2018. "The estimation and decomposition of tourism productivity," Tourism Management, Elsevier, vol. 65(C), pages 131-142.
    12. David Alaminos & Ana León-Gómez & José Ramón Sánchez-Serrano, 2020. "A DSGE-VAR Analysis for Tourism Development and Sustainable Economic Growth," Sustainability, MDPI, vol. 12(9), pages 1-22, May.
    13. Guccio, Calogero & Mazza, Isidoro & Mignosa, Anna & Rizzo, Ilde, 2018. "A round trip on decentralization in the tourism sector," Annals of Tourism Research, Elsevier, vol. 72(C), pages 140-155.
    14. Bing Xia & Suocheng Dong & Duoxun Ba & Yu Li & Fujia Li & Haimeng Liu & Zehong Li & Minyan Zhao, 2018. "Research on the Spatial Differentiation and Driving Factors of Tourism Enterprises’ Efficiency: Chinese Scenic Spots, Travel Agencies, and Hotels," Sustainability, MDPI, vol. 10(4), pages 1-22, March.

  133. Drobetz, Wolfgang & Merikas, Andreas & Merika, Anna & Tsionas, Mike G., 2014. "Corporate social responsibility disclosure: The case of international shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 18-44.

    Cited by:

    1. Choi, Tsan-Ming & Feng, Lipan & Li, Rong, 2020. "Information disclosure structure in supply chains with rental service platforms in the blockchain technology era," International Journal of Production Economics, Elsevier, vol. 221(C).
    2. Dolores Gallardo-Vázquez & María J. Barroso-Méndez & María L. Pajuelo-Moreno & Julio Sánchez-Meca, 2019. "Corporate Social Responsibility Disclosure and Performance: A Meta-Analytic Approach," Sustainability, MDPI, vol. 11(4), pages 1-33, February.
    3. Broccardo, Laura & Truant, Elisa & Dana, Léo-Paul, 2023. "The interlink between digitalization, sustainability, and performance: An Italian context," Journal of Business Research, Elsevier, vol. 158(C).
    4. Henry Schwartz & Tomi Solakivi & Magnus Gustafsson, 2022. "Is There Business Potential for Sustainable Shipping? Price Premiums Needed to Cover Decarbonized Transportation," Sustainability, MDPI, vol. 14(10), pages 1-20, May.
    5. Yuen, Kum Fai & Thai, Vinh V. & Wong, Yiik Diew, 2017. "Corporate social responsibility and classical competitive strategies of maritime transport firms: A contingency-fit perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 1-13.
    6. Kumar, Patanjal & Baraiya, Rajendra & Das, Debashree & Jakhar, Suresh Kumar & Xu, Lei & Mangla, Sachin Kumar, 2021. "Social responsibility and cost-learning in dyadic supply chain coordination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    7. Daozhi Zhao & Tianyi Wang & Hongshuai Han, 2020. "Approach towards Sustainable and Smart Coal Port Development: The Case of Huanghua Port in China," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    8. Kuzey, Cemil & Fritz, Morgane M.C. & Uyar, Ali & Karaman, Abdullah S., 2022. "Board gender diversity, CSR strategy, and eco-friendly initiatives in the transportation and logistics sector," International Journal of Production Economics, Elsevier, vol. 247(C).
    9. Govindan, Kannan & Kilic, Merve & Uyar, Ali & Karaman, Abdullah S., 2021. "Drivers and value-relevance of CSR performance in the logistics sector: A cross-country firm-level investigation," International Journal of Production Economics, Elsevier, vol. 231(C).
    10. Yuen, Kum Fai & Li, Kevin X. & Xu, Gangyan & Wang, Xueqin & Wong, Yiik Diew, 2019. "A taxonomy of resources for sustainable shipping management: Their interrelationships and effects on business performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 316-332.
    11. Mingyuan Guo & Shuyu Shen, 2019. "Managerial Shareholding and CSR: Does Internal Control Quality Matter?—Evidence from China," Sustainability, MDPI, vol. 11(15), pages 1-21, August.
    12. Christian Danisch, 2021. "The Relationship of CSR Performance and Voluntary CSR Disclosure Extent in the German DAX Indices," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    13. Yuen, Kum Fai & Thai, Vinh V. & Wong, Yiik Diew & Wang, Xueqin, 2018. "Interaction impacts of corporate social responsibility and service quality on shipping firms’ performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 397-409.
    14. Schleper, Martin C. & Blome, Constantin & Stevenson, Mark & Thürer, Matthias & Tusell, Iu, 2022. "When it’s the slaves that pay: In search of a fair due diligence cost distribution in conflict mineral supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    15. Yuen, Kum Fai & Wang, Xueqin & Wong, Yiik Diew & Zhou, Qingji, 2018. "The effect of sustainable shipping practices on shippers’ loyalty: The mediating role of perceived value, trust and transaction cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 123-135.
    16. Natalia Wagner & Bogusz Wiśnicki, 2022. "The Importance of Emerging Technologies to the Increasing of Corporate Sustainability in Shipping Companies," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    17. Michael Stein & Michele Acciaro, 2020. "Value Creation through Corporate Sustainability in the Port Sector: A Structured Literature Analysis," Sustainability, MDPI, vol. 12(14), pages 1-17, July.
    18. Mei Feng & Chu Chen & Jia Liu & Wei Jia, 2022. "Does Central Environmental Protection Inspector Improve Corporate Social Responsibility? Evidence from Chinese Listed Companies," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    19. Yuen, Kum Fai & Wang, Xueqin & Wong, Yiik Diew & Ma, Fei, 2019. "A contingency view of the effects of sustainable shipping exploitation and exploration on business performance," Transport Policy, Elsevier, vol. 77(C), pages 90-103.
    20. Yuen, Kum Fai & Thai, Vinh V. & Wong, Yiik Diew, 2018. "An investigation of shippers’ satisfaction and behaviour towards corporate social responsibility in maritime transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 275-289.
    21. Yuen, Kum Fai & Thai, Vinh V. & Wong, Yiik Diew, 2016. "The effect of continuous improvement capacity on the relationship between of corporate social performance and business performance in maritime transport in Singapore," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 62-75.
    22. Valenza, Giuseppe & Damiano, Rodolfo, 2023. "Sustainability reporting and public value: Evidence from port authorities," Utilities Policy, Elsevier, vol. 81(C).

  134. Konstantakopoulou, Ioanna & Tsionas, Efthymios G., 2014. "Half a century of empirical evidence of business cycles in OECD countries," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 389-409.

    Cited by:

    1. George Koutsoumanis & Vítor Castro, 2023. "The duration of acceleration cycle downturns: duration dependence, international dynamics and synchronisation," Empirical Economics, Springer, vol. 64(4), pages 1667-1698, April.
    2. Elekdag, Selim & Muir, Dirk & Wu, Yiqun, 2015. "Trade linkages, balance sheets, and spillovers: The Germany-Central European Supply Chain," Journal of Policy Modeling, Elsevier, vol. 37(2), pages 374-387.

  135. Katsoulacos Yannis & Metsiou Eleni & Tsionas Efthymios & Konstantakopoulou Ioanna, 2014. "Quantitative Price Tests in Antitrust Market Definition with an Application to the Savory Snacks Markets," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 12(1), pages 1-33, January.

    Cited by:

    1. Ribeiro, Eduardo Pontual & Castor, Kamaiaji, 2019. "Inferring bank-to-bank competition from dynamic time series analysis of price correlations," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 56, pages 62-73.
    2. Fotis, Panagiotis & Polemis, Michael, 2018. "The impact of market deregulation on milk price: A dynamic panel data approach," MPRA Paper 86542, University Library of Munich, Germany.
    3. W. Attavanich, 2016. "Did the Thai rice-pledging programme improve the economic performance and viability of rice farming?," Applied Economics, Taylor & Francis Journals, vol. 48(24), pages 2253-2265, May.

  136. Perrakis, Konstantinos & Ntzoufras, Ioannis & Tsionas, Efthymios G., 2014. "On the use of marginal posteriors in marginal likelihood estimation via importance sampling," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 54-69.

    Cited by:

    1. Lütkepohl, Helmut & Woźniak, Tomasz, 2020. "Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    2. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.
    3. Tsionas, Mike G., 2020. "Bounded rationality and thick frontiers in stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 284(2), pages 762-768.
    4. Jean-Paul Fox & Joris Mulder & Sandip Sinharay, 2017. "Bayes Factor Covariance Testing in Item Response Models," Psychometrika, Springer;The Psychometric Society, vol. 82(4), pages 979-1006, December.
    5. Junrong Liu & Robin C. Sickles & E. G. Tsionas, 2017. "Bayesian Treatments for Panel Data Stochastic Frontier Models with Time Varying Heterogeneity," Econometrics, MDPI, vol. 5(3), pages 1-21, July.
    6. Patel, Pankaj C. & Tsionas, Mike & Oghazi, Pejvak & Izquierdo, Vanessa, 2022. "No entrepreneur steps in the same river twice: Limited learning advantage for serial entrepreneurs," Journal of Business Research, Elsevier, vol. 142(C), pages 1038-1052.
    7. Tsionas, Mike & Patel, Pankaj C. & Guedes, Maria João, 2022. "Endogenous efficiency of the dynamic profit maximization in the intertemporal production models of venture behavior," International Journal of Production Economics, Elsevier, vol. 246(C).
    8. Tsionas, Mike G., 2021. "Bayesian analysis of static and dynamic Hurst parameters under stochastic volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    9. Michael L. Polemis & Mike G. Tsionas, 2023. "The environmental consequences of blockchain technology: A Bayesian quantile cointegration analysis for Bitcoin," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1602-1621, April.
    10. Konrad Klotzke & Jean-Paul Fox, 2019. "Modeling Dependence Structures for Response Times in a Bayesian Framework," Psychometrika, Springer;The Psychometric Society, vol. 84(3), pages 649-672, September.
    11. Atkinson, Scott E. & Primont, Daniel & Tsionas, Mike G., 2018. "Statistical inference in efficient production with bad inputs and outputs using latent prices and optimal directions," Journal of Econometrics, Elsevier, vol. 204(2), pages 131-146.
    12. Ashok K. Mishra & Mike G. Tsionas, 2020. "A Minimax Regret Approach to Decision Making Under Uncertainty," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 698-718, September.

  137. Delis, Manthos D. & Hasan, Iftekhar & Tsionas, Efthymios G., 2014. "The risk of financial intermediaries," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 1-12.

    Cited by:

    1. Mei Foong Wong, 2021. "Impact of corporate governance and financial stability on bank risk in Malaysia," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 14(4), pages 353-362.
    2. Iosifidi, Maria & Panopoulou, Ekaterini & Tsoumas, Chris, 2021. "Mortgage loan demand and banks’ operational efficiency," Journal of Financial Stability, Elsevier, vol. 53(C).
    3. Delis, Manthos D. & Karavias, Yiannis, 2015. "Optimal versus realized bank credit risk and monetary policy," Journal of Financial Stability, Elsevier, vol. 16(C), pages 13-30.
    4. Melchisedek Joslem Ngambou Djatche, 2018. "Re-Exploring the Nexus between Monetary Policy and Banks' Risk-Taking," GREDEG Working Papers 2018-12, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    5. Tongurai, Jittima & Vithessonthi, Chaiporn, 2020. "Bank regulations, bank competition and bank risk-taking: Evidence from Japan," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
    6. Laetitia Lepetit & Frank Strobel, 2015. "Bank Insolvency Risk and Z-Score Measures: A Refinement," Post-Print hal-01204881, HAL.
    7. Smaoui, Houcem & Mimouni, Karim & Miniaoui, Héla & Temimi, Akram, 2020. "Funding liquidity risk and banks' risk-taking: Evidence from Islamic and conventional banks," Pacific-Basin Finance Journal, Elsevier, vol. 64(C).
    8. Mike G. Tsionas & Konstantinos N. Baltas, 2022. "On identifying risk-adjusted efficiency gains or losses of prospective mergers and acquisitions," Annals of Operations Research, Springer, vol. 318(1), pages 619-683, November.
    9. Davide Salvatore Mare & Dieter Gramlich, 2021. "Risk exposures of European cooperative banks: a comparative analysis," Review of Quantitative Finance and Accounting, Springer, vol. 56(1), pages 1-23, January.
    10. Delis, Manthos D. & Iosifidi, Maria & Tsionas, Mike, 2020. "Management estimation in banking," European Journal of Operational Research, Elsevier, vol. 284(1), pages 355-372.
    11. Agus Widarjono & Diana Wijayanti & Suharto Suharto, 2022. "Funding liquidity risk and asset risk of Indonesian Islamic rural banks," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2059911-205, December.
    12. Lartey, Theophilus & James, Gregory A. & Danso, Albert, 2021. "Interbank funding, bank risk exposure and performance in the UK: A three-stage network DEA approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
    13. Pak, Olga, 2019. "The impact of state ownership and business models on bank stability: Empirical evidence from the Eurasian Economic Union," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 161-175.
    14. Do, Huu-Luat & Dang Thuy, Truong, 2022. "Productivity response and production risk: A study of mangrove forest effects in aquaculture in the Mekong River Delta," Ecological Economics, Elsevier, vol. 194(C).
    15. Chabot, Miia & Bertrand, Jean-Louis, 2021. "Complexity, interconnectedness and stability: New perspectives applied to the European banking system," Journal of Business Research, Elsevier, vol. 129(C), pages 784-800.
    16. Giuliana Birindelli & Paola Ferretti & Marco Savioli, 2016. "Basel 3: Does One Size Really Fit All Banks' Business Models?," Working Paper series 16-20, Rimini Centre for Economic Analysis.
    17. Le, Minh & Hoang, Vincent & Wilson, Clevo & Managi, Shunsuke, 2019. "Net stable funding ratio and profit efficiency of commercial banks in the US," MPRA Paper 107179, University Library of Munich, Germany, revised 16 May 2020.
    18. Mergaerts, Frederik & Vander Vennet, Rudi, 2016. "Business models and bank performance: A long-term perspective," Journal of Financial Stability, Elsevier, vol. 22(C), pages 57-75.
    19. Muhammad Saifuddin Khan, 2018. "The Role of Liquidity in Financial Intermediation," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2018.
    20. Bruno de Menna, 2021. "The Joint Impact of Bank Capital and Funding Liquidity on the Monetary Policy's Risk-Taking Channel," Working Papers hal-03138724, HAL.
    21. Khan, Muhammad Saifuddin & Scheule, Harald & Wu, Eliza, 2017. "Funding liquidity and bank risk taking," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 203-216.
    22. Gokben Cevikcan & Oktay Tas, 2022. "Risk-Oriented Efficiency Assessment within the Level of Capitalization for Financial Institutions: Evidence from Turkish Securities Firms," IJFS, MDPI, vol. 10(4), pages 1-30, November.
    23. Bruno de Menna, 2021. "Monetary Policy, Credit Risk, and Profitability: The Influence of Relationship Lending on Cooperative Banks' Performance," Working Papers hal-03138738, HAL.
    24. Dang, Van Dan & Huynh, Japan, 2022. "Monetary policy and bank performance: The role of business models," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    25. Santautė Venslavienė & Jelena Stankevičienė & Agnė Vaiciukevičiūtė, 2021. "Assessment of Successful Drivers of Crowdfunding Projects Based on Visual Analogue Scale Matrix for Criteria Weighting Method," Mathematics, MDPI, vol. 9(14), pages 1-18, July.
    26. Dang, Van Dan & Dang, Van Cuong, 2020. "The conditioning role of performance on the bank risk-taking channel of monetary policy: Evidence from a multiple-tool regime," Research in International Business and Finance, Elsevier, vol. 54(C).
    27. Libo Yin & Jing Nie & Liyan Han, 2020. "Intermediary asset pricing in commodity futures returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1711-1730, November.
    28. Simona Galletta & Sebastiano Mazzù, 2023. "ESG controversies and bank risk taking," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 274-288, January.
    29. Frederik Mergaerts & Rudi Vander Vennet, 2015. "Business Models And Their Impact On Bank Performance: A Long-Term Perspective," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/908, Ghent University, Faculty of Economics and Business Administration.
    30. Seza Danışoğlu & Z. Nuray Güner & Hande Ayaydın Hacıömeroğlu, 2018. "International Evidence on Risk Taking by Banks Around the Global Financial Crisis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(9), pages 1946-1962, July.
    31. Damiano Bruno Silipo & Giovanni Verga & Sviatlana Hlebik, 2017. "Confidence And Overconfidence In Banking," Working Papers 201703, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    32. Nguyen Tran Thai Ha & Phan Gia Quyen, 2018. "The Impact of Funding Liquidity on Risk-taking Behaviour of Vietnamese Banks: Approaching by Z-Score Measure," International Journal of Economics and Financial Issues, Econjournals, vol. 8(3), pages 29-35.
    33. Dang, Van Dan & Dang, Van Cuong, 2021. "Liquidity injection, bank lending, and security holdings: The asymmetric effects in Vietnam," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    34. Michael Doumpos & Chrysovalantis Gaganis & Fotios Pasiouras, 2016. "Bank Diversification and Overall Financial Strength: International Evidence," Working Papers 1602, University of Crete, Department of Economics.

  138. Assaf, A. George & Gillen, David & Tsionas, Efthymios G., 2014. "Understanding relative efficiency among airports: A general dynamic model for distinguishing technical and allocative efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 18-34.

    Cited by:

    1. Tsionas, Efthymios G. & Assaf, A. George & Matousek, Roman, 2015. "Dynamic technical and allocative efficiencies in European banking," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 130-139.
    2. Tsionas, Efthymios & Assaf, A. George & Gillen, David & Mattila, Anna S., 2017. "Modeling technical and service efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 113-125.
    3. Thanavutd Chutiphongdech & Rugphong Vongsaroj, 2022. "Critical Components of Airport Business Model Framework: Evidence from Thailand," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    4. Meryem Duygun & Levent Kutlu & Robin C. Sickles, 2016. "Measuring productivity and efficiency: a Kalman filter approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 155-167, December.
    5. Sun, Qinghe & Chen, Li & Meng, Qiang, 2022. "Evaluating port efficiency dynamics: A risk-based approach," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 333-347.
    6. Levent Kutlu, 2020. "Greenhouse Gas Emission Efficiencies of World Countries," IJERPH, MDPI, vol. 17(23), pages 1-11, November.
    7. Levent Kutlu & Shasha Liu & Robin C. Sickles, 2022. "Cost, Revenue, and Profit Function Estimates," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 16, pages 641-679, Springer.
    8. Thanh Ngo & Kan Wai Hong Tsui, 2022. "Estimating the confidence intervals for DEA efficiency scores of Asia-Pacific airlines," Operational Research, Springer, vol. 22(4), pages 3411-3434, September.
    9. Simon Peter Njoroge & X. N. Iraki, 2017. "Service Quality and Customer Satisfaction At Kenyan Airports," Proceedings Paper, in: Munyoki, Justus & Bode, Jürgen (ed.), Universities, Entrepreneurship and Enterprise Development in Africa - Conference Proceedings 2017, volume 6, pages 135-153, Universities Entrepreneurship and Enterprise Development in Africa International Conference.
    10. Jae Hee Park & Ji Hee Kim, 2021. "The Impact of Airport Managerial Type and Airline Market Share on Airport Efficiency," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    11. Niemeier, Hans-Martin, 2021. "Is economics good for aviation policy? Some problems in bridging the gap between theory and policy," Journal of Air Transport Management, Elsevier, vol. 96(C).
    12. Martini, Gianmaria & Scotti, Davide & Viola, Domenico & Vittadini, Giorgio, 2020. "Persistent and temporary inefficiency in airport cost function: An application to Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 999-1019.

  139. Efthymios G. Tsionas & Subal C. Kumbhakar, 2014. "FIRM HETEROGENEITY, PERSISTENT AND TRANSIENT TECHNICAL INEFFICIENCY: A GENERALIZED TRUE RANDOM‐EFFECTS model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 110-132, January.

    Cited by:

    1. Lukáš Čechura & Tinoush Jamali Jaghdani, 2021. "Market Imperfections within the European Wheat Value Chain: The Case of France and the United Kingdom," Agriculture, MDPI, vol. 11(9), pages 1-21, August.
    2. Kumbhakar, Subal C. & Badunenko, Oleg & Willox, Michael, 2022. "Do carbon taxes affect economic and environmental efficiency? The case of British Columbia’s manufacturing plants," MPRA Paper 118907, University Library of Munich, Germany.
    3. Karanki, Fecri & Lim, Siew Hoon, 2021. "Airport use agreements and cost efficiency of U.S. airports," Transport Policy, Elsevier, vol. 114(C), pages 68-77.
    4. Canavire Bacarreza, Gustavo J. & Puerta-Cuartas, Alejandro & Beverinotti, Javier, 2024. "Efficiency in Poverty Reduction: A State-Level Analysis for Bolivia," IZA Discussion Papers 16794, Institute of Labor Economics (IZA).
    5. Alejandro Puerta & Andr'es Ram'irez-Hassan, 2020. "Inferring hidden potentials in analytical regions: uncovering crime suspect communities in Medell\'in," Papers 2009.05360, arXiv.org.
    6. Lien, Gudbrand & Kumbhakar, Subal C. & Alem, Habtamu, 2018. "Endogeneity, heterogeneity, and determinants of inefficiency in Norwegian crop-producing farms," International Journal of Production Economics, Elsevier, vol. 201(C), pages 53-61.
    7. Skevas, Ioannis & Skevas, Theodoros, 2021. "A generalized true random-effects model with spatially autocorrelated persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1131-1142.
    8. Badunenko, Oleg & Kumbhakar, Subal C., 2016. "When, where and how to estimate persistent and transient efficiency in stochastic frontier panel data models," European Journal of Operational Research, Elsevier, vol. 255(1), pages 272-287.
    9. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Endogeneity in panel data stochastic frontier model with determinants of persistent and transient inefficiency," Economics Letters, Elsevier, vol. 162(C), pages 5-9.
    10. Zuzana FUNGACOVA & Paul-Olivier KLEIN & Laurent WEILL, 2018. "Persistent and Transient Inefficiency: Explaining the Low Efficiency of Chinese Big Banks," Working Papers of LaRGE Research Center 2018-07, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    11. Antony Andrews & Omphile Temoso & Sean Kimpton, 2021. "Persistent and Transient Inefficiency of Australian States and Territories in Providing Public Hospital Services: An Application of Bayesian Stochastic Finite Mixture Frontier Analysis," Economic Papers, The Economic Society of Australia, vol. 40(2), pages 104-115, June.
    12. Baños-Pino, José F. & Boto-García, David & Zapico, Emma, 2021. "Persistence and dynamics in the efficiency of toll motorways: The Spanish case," Efficiency Series Papers 2021/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    13. Roberto Colombi & Gianmaria Martini & Giorgio Vittadini, 2017. "Determinants of transient and persistent hospital efficiency: The case of Italy," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 5-22, September.
    14. He, Dongwei & Ho, Chun-Yu & Xu, Li, 2020. "Risk and return of online channel adoption in the banking industry," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
    15. Eric Njuki & Boris E Bravo-Ureta & Víctor E Cabrera, 2020. "Climatic effects and total factor productivity: econometric evidence for Wisconsin dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(3), pages 1276-1301.
    16. von Loessl, Victor & Wetzel, Heike, 2022. "Revenue decoupling, energy demand, and energy efficiency: Empirical evidence from the U.S. electricity sector," Utilities Policy, Elsevier, vol. 79(C).
    17. Das, Tirthatanmoy & Polachek, Solomon, 2017. "Estimating Labor Force Joiners and Leavers Using a Heterogeneity Augmented Two-Tier Stochastic Frontier," IZA Discussion Papers 10534, Institute of Labor Economics (IZA).
    18. Badunenko, Oleg & Kumbhakar, Subal C., 2017. "Economies of scale, technical change and persistent and time-varying cost efficiency in Indian banking: Do ownership, regulation and heterogeneity matter?," European Journal of Operational Research, Elsevier, vol. 260(2), pages 789-803.
    19. Tran, Kien C. & Tsionas, Mike G. & Prokhorov, Artem B., 2023. "Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1189-1199.
    20. Lukáš Čechura & Zdeňka Žáková Kroupová, 2021. "Technical Efficiency in the European Dairy Industry: Can We Observe Systematic Failures in the Efficiency of Input Use?," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    21. Julia Blasch & Nina Boogen & Nilkanth Kumar & Massimo Filippini, 2017. "The role of energy and investment literacy for residential electricity demand and end-use efficiency," CER-ETH Economics working paper series 17/269, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    22. Makieła, Kamil, 2016. "Bayesian inference in generalized true random-effects model and Gibbs sampling," MPRA Paper 69389, University Library of Munich, Germany.
    23. Boris E. Bravo‐Ureta & Víctor H. Moreira & Javier L. Troncoso & Alan Wall, 2020. "Plot‐level technical efficiency accounting for farm‐level effects: Evidence from Chilean wine grape producers," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 811-824, November.
    24. Concetta Castiglione & Davide Infante & Marta Zieba, 2022. "Public Support For Performing Arts. Efficiency And Productivity Gains In Eleven European Countries," Working Papers 202205, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    25. Xiao-Yan Liu & Li-Qiu Liu & Bai-Chen Xie & Michael G. Pollitt, 2018. "Does environmental heterogeneity affect the productive efficiency of grid utilities in China?," Working Papers EPRG 1820, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    26. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    27. Rawat, Pankaj S. & Sharma, Seema, 2021. "TFP growth, technical efficiency and catch-up dynamics: Evidence from Indian manufacturing," Economic Modelling, Elsevier, vol. 103(C).
    28. Jean Joseph Minviel & Timo Sipiläinen, 2021. "A dynamic stochastic frontier approach with persistent and transient inefficiency and unobserved heterogeneity," Agricultural Economics, International Association of Agricultural Economists, vol. 52(4), pages 575-589, July.
    29. Magambo, Isaiah & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Environmental and Technical Efficiency in Large Gold Mines in Developing Countries," MPRA Paper 108068, University Library of Munich, Germany.
    30. Kamil Makieła & Błażej Mazur & Jakub Głowacki, 2022. "The Impact of Renewable Energy Supply on Economic Growth and Productivity," Energies, MDPI, vol. 15(13), pages 1-13, June.
    31. Pontus Mattsson & Jonas Månsson & William H. Greene, 2020. "TFP change and its components for Swedish manufacturing firms during the 2008–2009 financial crisis," Journal of Productivity Analysis, Springer, vol. 53(1), pages 79-93, February.
    32. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    33. Thomas Geissmann & Massimo Filippini & William Greene, 2014. "Persistent and Transient Cost Efficiency – An Application to the Swiss Hydropower Sector," CER-ETH Economics working paper series 16/251, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    34. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    35. Zhang, Lin & Adom, Philip Kofi, 2018. "Energy Efficiency Transitions in China: How persistent are the movements to/from the frontier?," MPRA Paper 94797, University Library of Munich, Germany.
    36. Malikov, Emir & Kumbhakar, Subal C. & Tsionas, Efthymios G., 2015. "Bayesian Approach to Disentangling Technical and Environmental Productivity," MPRA Paper 64877, University Library of Munich, Germany.
    37. Kamil Makieła, 2017. "Bayesian Inference and Gibbs Sampling in Generalized True Random-Effects Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(1), pages 69-95, March.
    38. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    39. Griffiths, William E. & Hajargasht, Gholamreza, 2016. "Some models for stochastic frontiers with endogeneity," Journal of Econometrics, Elsevier, vol. 190(2), pages 341-348.
    40. Dorgyles C.M. Kouakou, 2022. "Separating innovation short-run and long-run technical efficiencies: Evidence from the Economic Community of West African States (ECOWAS)," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 19(1), pages 103-141, June.
    41. Pontus Mattsson & Jonas Mansson & William H. Greene, 2018. "TFP Change and its Components for Swedish Manufacturing Firms During the 2008-2009 Financial Crisis," Working Papers 18-27, New York University, Leonard N. Stern School of Business, Department of Economics.
    42. Massimo Filippini & Lester C. Hunt, 2013. "'Underlying Energy Efficiency' in the US," CER-ETH Economics working paper series 13/181, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    43. Bravo-Ureta, Boris E. & Njuki, Eric & Palacios, Ana Claudia & Salazar, Lina, 2022. "Agricultural Productivity in El Salvador: A Preliminary Analysis," IDB Publications (Working Papers) 11984, Inter-American Development Bank.
    44. Baležentis, Tomas & Sun, Kai, 2020. "Measurement of technical inefficiency and total factor productivity growth: A semiparametric stochastic input distance frontier approach and the case of Lithuanian dairy farms," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1174-1188.
    45. Badunenko, Oleg & Kumbhakar, Subal C. & Lozano‐Vivas, Ana, 2021. "Achieving a sustainable cost-efficient business model in banking: The case of European commercial banks," European Journal of Operational Research, Elsevier, vol. 293(2), pages 773-785.
    46. Lukáš Čechura & Zdeňka Žáková Kroupová & Irena Benešová, 2021. "Productivity and Efficiency in European Milk Production: Can We Observe the Effects of Abolishing Milk Quotas?," Agriculture, MDPI, vol. 11(9), pages 1-21, August.
    47. Lachaud, Michee & Bravo-Ureta, Boris & Ludena, Carlos, 2015. "Agricultural Productivity Growth in Latin America and the Caribbean (LAC): An analysis of Climatic Effects, Convergence, and Catch-up," 2015 Conference, August 9-14, 2015, Milan, Italy 211721, International Association of Agricultural Economists.
    48. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Panel data stochastic frontier model with determinants of persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 271(2), pages 746-755.
    49. García-Suarez, Federico, 2021. "Productivity and Efficiency in Uruguay: A Stochastic Approach," 2021 Conference, August 17-31, 2021, Virtual 315081, International Association of Agricultural Economists.
    50. Daniel Albalate & Jordi Rosell, 2016. "Persistent and transient efficiency on the stochastic production and cost frontiers – an application to the motorway sector," Working Papers XREAP2016-04, Xarxa de Referència en Economia Aplicada (XREAP), revised Oct 2016.
    51. Amjadi, Golnaz & Lundgren, Tommy, 2022. "Is industrial energy inefficiency transient or persistent? Evidence from Swedish manufacturing," Applied Energy, Elsevier, vol. 309(C).
    52. Kien C. Tran & Mike G. Tsionas, 2023. "Semiparametric estimation of a spatial autoregressive nonparametric stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-28, December.
    53. Émilie Caldeira & Ali Compaore & Alou Adessé Dama & Mario Mansour & Grégoire Rota-Graziosi, 2019. "Effort fiscal en Afrique subsaharienne : les résultats d’une nouvelle base de données," Revue d’économie du développement, De Boeck Université, vol. 27(4), pages 5-51.
    54. Emilie Caldeira & Alou Adessé Dama & Ali Compaoré & Mario Mansour & Grégoire Rota-Graziosi, 2020. "Tax effort in Sub-Saharan African countries : evidence from a new dataset," CERDI Working papers hal-02543162, HAL.
    55. Baños-Pino, José F. & Boto-García, David & Zapico, Emma, 2022. "Persistence and dynamics in the efficiency of toll motorways: The Spanish case," Economics of Transportation, Elsevier, vol. 31(C).
    56. Khalid Maman Waziri, 2017. "Generalized Glass Ceilings in the United States – A Stochastic Metafrontier Approach," Working Papers halshs-01569834, HAL.
    57. Just, Lisa & Wetzel, Heike, 2020. "Distributed Generation and Cost Efficiency of German Electricity Distribution Network Operators," EWI Working Papers 2020-9, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    58. Sanchez González, Jim & Restrepo-Tobón, Diego & Ramírez Hassan, Andrés, 2021. "Inefficiency and bank failure: A joint Bayesian estimation method of stochastic frontier and hazards models," Economic Modelling, Elsevier, vol. 95(C), pages 344-360.
    59. Chen, Hong & Wang, Xi & Singh, Baljeet, 2021. "Transient and persistent inefficiency traps in Chinese provinces," Economic Modelling, Elsevier, vol. 97(C), pages 335-347.
    60. Levent Kutlu & Kien C. Tran & Mike G. Tsionas, 2020. "Unknown latent structure and inefficiency in panel stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 54(1), pages 75-86, August.
    61. Berisso Oumer & Heshmati Almas, 2020. "Farm-heterogeneity and persistent and transient productive efficiencies in Ethiopia’s smallholder cereal farming," IZA Journal of Development and Migration, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 11(1), pages 1-23, January.
    62. Idaira Cabrera‐Suárez & Jorge V. Pérez‐Rodríguez, 2021. "Bank branch performance and cost efficiency: A stochastic frontier panel data approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5850-5863, October.
    63. Subal C. Kumbhakar & Gudbrand Lien, 2017. "Yardstick Regulation of Electricity Distribution Disentangling Short-run and Long-run Inefficiencies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    64. António Carvalho, 2018. "Energy efficiency in transition economies : A stochastic frontier approach," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(3), pages 553-578, July.
    65. Tsionas, Mike G., 2017. "Microfoundations for stochastic frontiers," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1165-1170.
    66. Hung-pin Lai & Kien C. Tran, 2022. "Persistent and transient inefficiency in a spatial autoregressive panel stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 58(1), pages 1-13, August.
    67. Ivan Huljak & Reiner Martin & Diego Moccero, 2022. "The productivity growth of euro area banks," Journal of Productivity Analysis, Springer, vol. 58(1), pages 15-33, August.
    68. Martini, Gianmaria & Scotti, Davide & Viola, Domenico & Vittadini, Giorgio, 2020. "Persistent and temporary inefficiency in airport cost function: An application to Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 999-1019.
    69. Huaping Sun & Bless Kofi Edziah & Xiaoqian Song & Anthony Kwaku Kporsu & Farhad Taghizadeh-Hesary, 2020. "Estimating Persistent and Transient Energy Efficiency in Belt and Road Countries: A Stochastic Frontier Analysis," Energies, MDPI, vol. 13(15), pages 1-19, July.
    70. Bansal, Pooja & Kumar, Sunil & Mehra, Aparna & Gulati, Rachita, 2022. "Developing two dynamic Malmquist-Luenberger productivity indices: An illustrated application for assessing productivity performance of Indian banks," Omega, Elsevier, vol. 107(C).
    71. Huljak, Ivan & Martin, Reiner & Moccero, Diego, 2019. "The cost-efficiency and productivity growth of euro area banks," Working Paper Series 2305, European Central Bank.
    72. Bernstein, David H., 2020. "An updated assessment of technical efficiency and returns to scale for U.S. electric power plants," Energy Policy, Elsevier, vol. 147(C).
    73. Marin, Giovanni & Palma, Alessandro, 2017. "Technology invention and adoption in residential energy consumption," Energy Economics, Elsevier, vol. 66(C), pages 85-98.
    74. Bravo-Ureta, Boris E. & Jara-Rojas, Roberto & Lachaud, Michee A. & Moreira L., Victor H. & Scheierling, Susanne M., 2015. "Water and Farm Efficiency: Insights from the Frontier Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206076, Agricultural and Applied Economics Association.
    75. Skevas, Ioannis & Emvalomatis, Grigorios & Brümmer, Bernhard, 2018. "Productivity growth measurement and decomposition under a dynamic inefficiency specification: The case of German dairy farms," European Journal of Operational Research, Elsevier, vol. 271(1), pages 250-261.
    76. Manuel Salas‐Velasco, 2020. "Assessing the performance of Spanish secondary education institutions: Distinguishing between transient and persistent inefficiency, separated from heterogeneity," Manchester School, University of Manchester, vol. 88(4), pages 531-555, July.
    77. Fungáčová, Zuzana & Klein, Paul-Olivier & Weill, Laurent, 2020. "Persistent and transient inefficiency: Explaining the low efficiency of Chinese big banks11We thank Ifthekar Hasan, Chun-Yu Ho, Iikka Korhonen, Jun Wu, Yanrui Wu, the participants of the Conference on," China Economic Review, Elsevier, vol. 59(C).
    78. Glass, Anthony J. & Kenjegalieva, Karligash, 2019. "A spatial productivity index in the presence of efficiency spillovers: Evidence for U.S. banks, 1992–2015," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1165-1179.

  140. Kumbhakar, Subal C. & Parmeter, Christopher F. & Tsionas, Efthymios G., 2013. "A zero inefficiency stochastic frontier model," Journal of Econometrics, Elsevier, vol. 172(1), pages 66-76.

    Cited by:

    1. Kristiaan Kerstens & Jafar Sadeghi & Mehdi Toloo & Ignace van de Woestyne, 2022. "Procedures for ranking technical and cost efficient units: With a focus on nonconvexity," Post-Print hal-03595989, HAL.
    2. Centorrino, Samuele & Pérez-Urdiales, María, 2023. "Maximum likelihood estimation of stochastic frontier models with endogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 82-105.
    3. William C. Horrace & Hyunseok Jung & Yi Yang, 2022. "The Conditional Mode in Parametric Frontier Models," Center for Policy Research Working Papers 249, Center for Policy Research, Maxwell School, Syracuse University.
    4. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    5. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    6. Segun Thompson Bolarinwa & Olawale Akinyele & Xuan Vinh Vo, 2021. "Determinants of nonperforming loans after recapitalization in the Nigerian banking industry: Does efficiency matter?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1509-1524, September.
    7. Tsionas, Mike G., 2020. "Bounded rationality and thick frontiers in stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 284(2), pages 762-768.
    8. Christopher F. Parmeter & Alan T. K. Wan & Xinyu Zhang, 2019. "Model averaging estimators for the stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 51(2), pages 91-103, June.
    9. Seunghwa Rho & Peter Schmidt, 2015. "Are all firms inefficient?," Journal of Productivity Analysis, Springer, vol. 43(3), pages 327-349, June.
    10. Argüelles, Pablo & Orea, Luis, 2020. "Managing power supply interruptions: a bottom-up spatial (frontier) model with an application to a Spanish electricity network," Efficiency Series Papers 2020/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    11. Liu, Tung, 2021. "Measuring cost inefficiency: A dual approach," Economic Modelling, Elsevier, vol. 99(C).
    12. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2016. "Efficiency and environmental factors in the US electricity transmission industry," Energy Economics, Elsevier, vol. 55(C), pages 234-246.
    13. Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
    14. Jun Cai & Qu Feng & William C. Horrace & Guiying Laura Wu, 2021. "Wrong skewness and finite sample correction in the normal-half normal stochastic frontier model," Empirical Economics, Springer, vol. 60(6), pages 2837-2866, June.
    15. William C. Horrace & Christopher F. Parmeter, 2018. "A Laplace stochastic frontier model," Econometric Reviews, Taylor & Francis Journals, vol. 37(3), pages 260-280, March.
    16. Orea, Luis & Steinbuks, Jevgenijs, 2012. "Estimating Market Power in Homogenous Product Markets Using a Composed Error Model: Application to the California Electricity Market," Efficiency Series Papers 2012/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    17. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    18. Fei Jin & Lung-fei Lee, 2020. "Asymptotic properties of a spatial autoregressive stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-40, December.
    19. William C. Horrace & Yulong Wang, 2022. "Nonparametric tests of tail behavior in stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 537-562, April.
    20. Orea, Luis & Jamasb, Tooraj, 2014. "Identifying efficient regulated firms with unobserved technological heterogeneity: A nested latent class approach to Norwegian electricity distribution networks," Efficiency Series Papers 2014/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    21. Wanke, Peter & Azad, Abul Kalam & Emrouznejad, Ali, 2018. "Efficiency in BRICS banking under data vagueness: A two-stage fuzzy approach," Global Finance Journal, Elsevier, vol. 35(C), pages 58-71.
    22. Drivas, Kyriakos & Economidou, Claire & Tsionas, Efthymios G., 2014. "A Poisson Stochastic Frontier Model with Finite Mixture Structure," MPRA Paper 57485, University Library of Munich, Germany.
    23. Jianxu Liu & Sanzidur Rahman & Songsak Sriboonchitta & Aree Wiboonpongse, 2017. "Enhancing Productivity and Resource Conservation by Eliminating Inefficiency of Thai Rice Farmers: A Zero Inefficiency Stochastic Frontier Approach," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
    24. Kutlu, Levent, 2017. "A constrained state space approach for estimating firm efficiency," Economics Letters, Elsevier, vol. 152(C), pages 54-56.
    25. Yao, Feng & Wang, Taining & Tian, Jinjing & Kumbhakar, Subal C., 2018. "Estimation of a smooth coefficient zero-inefficiency panel stochastic frontier model: A semiparametric approach," Economics Letters, Elsevier, vol. 166(C), pages 25-30.
    26. Cheol-Keun Cho & Peter Schmidt, 2020. "The wrong skew problem in stochastic frontier models when inefficiency depends on environmental variables," Empirical Economics, Springer, vol. 58(5), pages 2031-2047, May.
    27. William C. Horrace & Hyunseok Jung, 2018. "Stochastic frontier models with network selectivity," Journal of Productivity Analysis, Springer, vol. 50(3), pages 101-116, December.
    28. Henderson, Heath & Follett, Lendie, 2020. "A Bayesian framework for estimating human capabilities," World Development, Elsevier, vol. 129(C).
    29. Centorrino, Samuele & Pérez-Urdiales, María & Bravo-Ureta, Boris & Wall, Alan, 2022. "Binary endogenous treatment in stochastic frontier models with an application to soil conservation in El Salvador," Efficiency Series Papers 2022/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    30. Seog-Chan Oh & Jaemin Shin, 2021. "The Assessment of Car Making Plants with an Integrated Stochastic Frontier Analysis Model," Mathematics, MDPI, vol. 9(11), pages 1-21, June.
    31. Tran, Kien C. & Tsionas, Mike G., 2016. "On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors," Economics Letters, Elsevier, vol. 147(C), pages 19-22.
    32. Luis Orea & Tooraj Jamasb, 2017. "Regulating Heterogeneous Utilities: A New Latent Class Approach with Application to the Norwegian Electricity Distribution Networks," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    33. Tran, Kien C. & Tsionas, Mike G., 2016. "Zero-inefficiency stochastic frontier models with varying mixing proportion: A semiparametric approach," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1113-1123.
    34. Idaira Cabrera‐Suárez & Jorge V. Pérez‐Rodríguez, 2021. "Bank branch performance and cost efficiency: A stochastic frontier panel data approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5850-5863, October.
    35. Huang, Tai-Hsin & Chiang, Dien-Lin & Lin, Chung-I, 2017. "A new approach to estimating a profit frontier using the censored stochastic frontier model," The North American Journal of Economics and Finance, Elsevier, vol. 39(C), pages 68-77.
    36. Jun Cai & William C. Horrace & Christopher F. Parmeter, 2024. "Penalized sieve estimation of zero‐inefficiency stochastic frontiers," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 41-65, January.
    37. Emilio Gómez-Déniz & Barry C. Arnold & José M. Sarabia & Héctor W. Gómez, 2021. "Properties and Applications of a New Family of Skew Distributions," Mathematics, MDPI, vol. 9(1), pages 1-18, January.
    38. Alexander D. Stead & Phill Wheat & William H. Greene, 2023. "On hypothesis testing in latent class and finite mixture stochastic frontier models, with application to a contaminated normal-half normal model," Journal of Productivity Analysis, Springer, vol. 60(1), pages 37-48, August.
    39. Kien C. Tran & Mike G. Tsionas & Emmanuel Mamatzakis, 2020. "Why fully efficient banks matter? A nonparametric stochastic frontier approach in the presence of fully efficient banks," Empirical Economics, Springer, vol. 58(6), pages 2733-2760, June.

  141. George Assaf, A. & Matousek, Roman & Tsionas, Efthymios G., 2013. "Turkish bank efficiency: Bayesian estimation with undesirable outputs," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 506-517.

    Cited by:

    1. Nurhan Davutyan & Canan Yildirim, 2013. "Competitiveness in Turkish Banking: 2002-2011," Working Papers 774, Economic Research Forum, revised Sep 2013.
    2. Tsionas, Efthymios G. & Assaf, A. George & Matousek, Roman, 2015. "Dynamic technical and allocative efficiencies in European banking," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 130-139.
    3. Debdatta Pal & Subrata K. Mitra, 2018. "The efficiency of microfinance institutions with problem loans: A directional distance function approach," Computational and Mathematical Organization Theory, Springer, vol. 24(3), pages 285-307, September.
    4. Degl’Innocenti, Marta & Matousek, Roman & Sevic, Zeljko & Tzeremes, Nickolaos G., 2017. "Bank efficiency and financial centres: Does geographical location matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 188-198.
    5. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Yan, Ming-Zhe & Wang, Jian-Lin & Xie, Bai-Chen, 2019. "Which provincial administrative regions in China should reduce their coal consumption? An environmental energy input requirement function based analysis," Energy Policy, Elsevier, vol. 127(C), pages 51-63.
    6. Shiyi Chen & Wolfgang K. Härdle & Li Wang, 2020. "Estimation and determinants of Chinese banks’ total factor efficiency: a new vision based on unbalanced development of Chinese banks and their overall risk," Computational Statistics, Springer, vol. 35(2), pages 427-468, June.
    7. Malikov, Emir & Kumbhakar, Subal C. & Tsionas, Efthymios, 2015. "A Cost System Approach to the Stochastic Directional Technology Distance Function with Undesirable Outputs: The Case of U.S. Banks in 2001-2010," MPRA Paper 66490, University Library of Munich, Germany.
    8. Dimitrios Anastasiou & Helen Louri & Mike Tsionas, 2019. "Nonperforming loans in the euro area: Are core–periphery banking markets fragmented?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 97-112, January.
    9. Assaf, A. George & Tsionas, Mike & Kock, Florian & Josiassen, Alexander, 2021. "A Bayesian non-parametric stochastic frontier model," Annals of Tourism Research, Elsevier, vol. 87(C).
    10. Galán Camacho, Jorge Eduardo & Lopes Moreira Da Veiga, María Helena & Wiper, Michael Peter, 2013. "Bayesian analysis of dynamic effects in inefficiency : evidence from the Colombian banking sector," DES - Working Papers. Statistics and Econometrics. WS ws131918, Universidad Carlos III de Madrid. Departamento de Estadística.
    11. Safiullah, Md, 2020. "Bank governance and crisis-period efficiency: A multinational study on Islamic and conventional banks," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    12. Akinci, Dervis Ahmet & Matousek, Roman & Radić, Nemanja & Stewart, Chris, 2013. "Monetary policy and the banking sector in Turkey," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 269-285.
    13. Saleh, Ali Salman & Moradi-Motlagh, Amir & Zeitun, Rami, 2020. "What are the drivers of inefficiency in the Gulf Cooperation Council banking industry? A comparison between conventional and Islamic banks," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
    14. Sarmiento, Miguel & Galán, Jorge E., 2014. "Heterogeneous effects of risk-taking on bank efficiency : a stochastic frontier model with random coefficients," DES - Working Papers. Statistics and Econometrics. WS ws142013, Universidad Carlos III de Madrid. Departamento de Estadística.
    15. Kai Sun & Ruhul Salim, 2020. "A semiparametric stochastic input distance frontier model with application to the Indonesian banking industry," Journal of Productivity Analysis, Springer, vol. 54(2), pages 139-156, December.
    16. Gulati, Rachita, 2022. "Global and local banking crises and risk-adjusted efficiency of Indian banks: Are the impacts really perspective-dependent?," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 23-39.
    17. Partovi, Elmira & Matousek, Roman, 2019. "Bank efficiency and non-performing loans: Evidence from Turkey," Research in International Business and Finance, Elsevier, vol. 48(C), pages 287-309.
    18. Abreu, Emmanuel Sousa de & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2019. "What is going on with studies on banking efficiency?," Research in International Business and Finance, Elsevier, vol. 47(C), pages 195-219.
    19. Mamatzakis, Emmanuel & Matousek, Roman & Vu, Anh Nguyet, 2016. "What is the impact of bankrupt and restructured loans on Japanese bank efficiency?," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 187-202.
    20. Chiu, Ching-Ren & Chiu, Yung-Ho & Chen, Yu-Chuan & Fang, Chen-Ling, 2016. "Exploring the source of metafrontier inefficiency for various bank types in the two-stage network system with undesirable output," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 1-13.
    21. Emir Malikov & Raushan Bokusheva & Subal C. Kumbhakar, 2018. "A hedonic-output-index-based approach to modeling polluting technologies," Empirical Economics, Springer, vol. 54(1), pages 287-308, February.
    22. Demirbag, Mehmet & McGuinness, Martina & Akin, Ahmet & Bayyurt, Nizamettin & Basti, Eyup, 2016. "The professional service firm (PSF) in a globalised economy: A study of the efficiency of securities firms in an emerging market," International Business Review, Elsevier, vol. 25(5), pages 1089-1102.
    23. Almanza, Camilo & Mora Rodríguez, Jhon James, 2018. "Profit efficiency of banks in Colombia with undesirable output: A directional distance function approach," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-18.
    24. Chau Le & Aleksandar Šević & Panayiotis G. Tzeremes & Trong Ngo, 2022. "Bank efficiency in Vietnam: Do scale expansion strategies and non‐performing loans matter?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 822-843, January.
    25. Wanke, Peter & Barros, Carlos P. & Faria, João R., 2015. "Financial distress drivers in Brazilian banks: A dynamic slacks approach," European Journal of Operational Research, Elsevier, vol. 240(1), pages 258-268.
    26. Barros, C.P. & Emrouznejad, Ali, 2016. "Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping: A case of Mozambican banksAuthor-Name: Wanke, Peter," European Journal of Operational Research, Elsevier, vol. 249(1), pages 378-389.
    27. Nuri Altintas & Alessandra Ferrari & Claudia Girardone, 2022. "Do financial reforms always improve banks efficiency and competition? A long-term analysis of Turkey’s experience," Journal of Banking Regulation, Palgrave Macmillan, vol. 23(4), pages 458-469, December.
    28. Chen, Zhongfei & Matousek, Roman & Wanke, Peter, 2018. "Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 71-86.
    29. Moradi-Motlagh, Amir & Jubb, Christine, 2020. "Examining irresponsible lending using non-radial inefficiency measures: Evidence from Australian banks," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 96-108.
    30. Francisco Javier Sáez-Fernández & Andrés J. Picazo-Tadeo & Mercedes Beltrán-Esteve & Caroline Elliott, 2015. "Assessing the performance of the Latin American and Caribbean banking industry: Are domestic and foreign banks so different?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1006976-100, December.
    31. Xiang Chen & Xuping Zhang & Yujia Wang & Hairui Jia, 2022. "The risk‐adjusted profit productivity change in Chinese banks: A comparative analysis of the different type banks," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(2), pages 523-532, March.
    32. Vaclav Hausenblas & Jitka Lesanovska, 2018. "How Do Large Banking Groups Manage the Efficiency of Their Subsidiaries? Evidence from CEE," Working Papers 2018/13, Czech National Bank.
    33. Barros, Carlos Pestana & Wanke, Peter, 2014. "Banking efficiency in Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 54-65.
    34. Degl'Innocenti, Marta & Grant, Kevin & Šević, Aleksandar & Tzeremes, Nickolaos G., 2018. "Financial stability, competitiveness and banks' innovation capacity: Evidence from the Global Financial Crisis," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 35-46.
    35. Hidemichi Fujii & Shunsuke Managi & Roman Matousek & Aarti Rughoo, 2018. "Bank efficiency, productivity, and convergence in EU countries: a weighted Russell directional distance model," The European Journal of Finance, Taylor & Francis Journals, vol. 24(2), pages 135-156, January.
    36. Fukuyama, Hirofumi & Tsionas, Mike & Tan, Yong, 2023. "Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: Application to the Chinese banking industry," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1360-1373.
    37. Pooja Bansal & Aparna Mehra & Sunil Kumar, 2022. "Dynamic Metafrontier Malmquist–Luenberger Productivity Index in Network DEA: An Application to Banking Data," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 297-324, January.
    38. Hakan Güneş & Dilem Yıldırım, 2016. "Estimating Cost Efficiency of Turkish Commercial Banks under Unobserved Heterogeneity with Stochastic Frontier Models," ERC Working Papers 1603, ERC - Economic Research Center, Middle East Technical University, revised Mar 2016.
    39. Hirofumi Fukuyama & Yong Tan, 2022. "Deconstructing three‐stage overall efficiency into input, output and stability efficiency components with consideration of market power and loan loss provision: An application to Chinese banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 953-974, January.
    40. Cemil ÇİFTÇİ & Dilek DURUSU-ÇİFTÇİ, 2019. "Determinants of Bank Profitability after Transition to the Strong Economy Program in Turkey," Sosyoekonomi Journal, Sosyoekonomi Society.
    41. Tziogkidis, Panagiotis & Philippas, Dionisis & Tsionas, Mike G., 2020. "Multidirectional conditional convergence in European banking," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 88-106.
    42. Mamatzakis, Emmanuel & matousek, roman & vu, anh, 2019. "The interplay between problem loans and Japanese bank productivity," MPRA Paper 92960, University Library of Munich, Germany.
    43. Ather Hassan Dar & Somesh Kumar Mathur & Sila Mishra, 2021. "The Efficiency of Indian Banks: A DEA, Malmquist and SFA Analysis with Bad Output," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 653-701, December.
    44. Marjanović Ivana & Stanković Jelena J. & Popović Žarko, 2018. "Efficiency Estimation of Commercial Banks Based on Financial Performance: Input Oriented DEA CRS/VRS Models," Economic Themes, Sciendo, vol. 56(2), pages 239-252, June.
    45. Galán, Jorge E. & Veiga, Helena & Wiper, Michael P., 2015. "Dynamic effects in inefficiency: Evidence from the Colombian banking sector," European Journal of Operational Research, Elsevier, vol. 240(2), pages 562-571.
    46. Chaffai, Mohamed, 2021. "Discernible differences in the building façades, but not in the productivity numbers: A comparison between domestic and foreign banks in North Africa," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 344-357.
    47. Fujii, Hidemichi & Managi, Shunsuke & Matousek, Roman, 2014. "Indian bank efficiency and productivity changes with undesirable outputs: A disaggregated approach," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 41-50.
    48. Chen, Xiang & Wang, Yujia & Wu, Xin, 2022. "Exploring the source of the financial performance in Chinese banks: A risk-adjusted decomposition approach," International Review of Financial Analysis, Elsevier, vol. 80(C).
    49. Shirong Zhao, 2020. "Shadow Prices of Non-performing Loans for Chinese Banks in the Post-Crisis Era," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(6), pages 1-8.
    50. Luis Alberiko Gil-Alana & Carlos Barros & Dercio Mandlaze, 2017. "A performance assessment of Mozambique banks: a Bayesian stochastic frontier," Applied Economics, Taylor & Francis Journals, vol. 49(45), pages 4579-4587, September.
    51. Yanni Huang & Sumei Luo & Guohu Xu & Guanyou Zhou, 2018. "Quantitative Analysis and Evaluation of Enterprise Group Financial Company Efficiency in China," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    52. Bansal, Pooja & Kumar, Sunil & Mehra, Aparna & Gulati, Rachita, 2022. "Developing two dynamic Malmquist-Luenberger productivity indices: An illustrated application for assessing productivity performance of Indian banks," Omega, Elsevier, vol. 107(C).
    53. Matousek, Roman & Rughoo, Aarti & Sarantis, Nicholas & George Assaf, A., 2015. "Bank performance and convergence during the financial crisis: Evidence from the ‘old’ European Union and Eurozone," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 208-216.
    54. Fukuyama, Hirofumi & Matousek, Roman & Tzeremes, Nickolaos G., 2020. "A Nerlovian cost inefficiency two-stage DEA model for modeling banks’ production process: Evidence from the Turkish banking system," Omega, Elsevier, vol. 95(C).
    55. Shiyi Chen & Wolfgang K. Härdle & Li Wang, 2014. "Estimation and Determinants of Chinese Banks’ Total Factor Efficiency: A New Vision Based on Unbalanced Development of Chinese Banks and Their Overall Risk," SFB 649 Discussion Papers SFB649DP2014-068, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    56. Fukuyama, Hirofumi & Matousek, Roman, 2017. "Modelling bank performance: A network DEA approach," European Journal of Operational Research, Elsevier, vol. 259(2), pages 721-732.
    57. Louhichi, Awatef & Boujelbene, Younes, 2020. "Credit risk pricing and the rationality of lending decision-making within dual banking systems: A parametric approach," Economic Systems, Elsevier, vol. 44(1).

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    Cited by:

    1. Centorrino, Samuele & Pérez-Urdiales, María, 2023. "Maximum likelihood estimation of stochastic frontier models with endogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 82-105.
    2. Amsler, Christine & Artem, Prokhorov & Peter, Schmidt, 2015. "Endogeneity in Stochastic Frontier Models," Working Papers 2015-01, University of Sydney Business School, Discipline of Business Analytics.
    3. Levent Kutlu, 2022. "Spatial stochastic frontier model with endogenous weighting matrix," Empirical Economics, Springer, vol. 63(4), pages 1947-1968, October.
    4. Lien, Gudbrand & Kumbhakar, Subal C. & Alem, Habtamu, 2018. "Endogeneity, heterogeneity, and determinants of inefficiency in Norwegian crop-producing farms," International Journal of Production Economics, Elsevier, vol. 201(C), pages 53-61.
    5. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    6. Tsionas, Mike G. & Mallick, Sushanta K., 2019. "A Bayesian semiparametric approach to stochastic frontiers and productivity," European Journal of Operational Research, Elsevier, vol. 274(1), pages 391-402.
    7. Kutlu, Levent & Nair-Reichert, Usha, 2022. "Executive compensation and the potential for additional efficiency gains: Evidence from the Indian manufacturing sector," Economic Modelling, Elsevier, vol. 114(C).
    8. Malikov, Emir, 2016. "Estimating Multi-Product Production Functions and Productivity using Control Functions," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235108, Agricultural and Applied Economics Association.
    9. Mike G. Tsionas, 2017. "“When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 948-965, July.
    10. Guarini, Giulio & Laureti, Tiziana & Garofalo, Giuseppe, 2020. "Socio-institutional determinants of educational resource efficiency according to the capability approach: An endogenous stochastic frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    11. Bouali Guesmi & Teresa Serra & Amr Radwan & José María Gil, 2018. "Efficiency of Egyptian organic agriculture: A local maximum likelihood approach," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 441-455, March.
    12. Mustafa U. Karakaplan & Levent Kutlu, 2019. "School district consolidation policies: endogenous cost inefficiency and saving reversals," Empirical Economics, Springer, vol. 56(5), pages 1729-1768, May.
    13. Badunenko, Oleg & D’Inverno, Giovanna & De Witte, Kristof, 2023. "On distinguishing the direct causal effect of an intervention from its efficiency-enhancing effects," European Journal of Operational Research, Elsevier, vol. 310(1), pages 432-447.
    14. Jacopo Canello & Francesco Vidoli, 2020. "Investigating space‐time patterns of regional industrial resilience through a micro‐level approach: An application to the Italian wine industry," Journal of Regional Science, Wiley Blackwell, vol. 60(4), pages 653-676, September.
    15. Mustafa U. Karakaplan & Levent Kutlu, 2017. "Endogeneity in panel stochastic frontier models: an application to the Japanese cotton spinning industry," Applied Economics, Taylor & Francis Journals, vol. 49(59), pages 5935-5939, December.
    16. Artem Prokhorov & Kien C. Tran & Mike G. Tsionas, 2021. "Estimation of semi- and nonparametric stochastic frontier models with endogenous regressors," Empirical Economics, Springer, vol. 60(6), pages 3043-3068, June.
    17. Tran, Kien C. & Tsionas, Efthymios G., 2015. "Endogeneity in stochastic frontier models: Copula approach without external instruments," Economics Letters, Elsevier, vol. 133(C), pages 85-88.
    18. Eric Njuki & Boris E Bravo-Ureta & Christopher J O’Donnell, 2018. "A new look at the decomposition of agricultural productivity growth incorporating weather effects," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-21, February.
    19. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    20. Robert Germeshausen & Timo Panke & Heike Wetzel, 2020. "Firm characteristics and the ability to exercise market power: empirical evidence from the iron ore market," Empirical Economics, Springer, vol. 58(5), pages 2223-2247, May.
    21. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2017. "Endogenous Environmental Variables In Stochastic Frontier Models," Working Papers 2017-02, University of Sydney Business School, Discipline of Business Analytics.
    22. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2020. "A spatial stochastic frontier model with endogenous frontier and environmental variables," European Journal of Operational Research, Elsevier, vol. 286(1), pages 389-399.
    23. Maximilian Koppenberg & Stefan Hirsch, 2022. "Markup estimation: A comparison of contemporary methods at the example of European food retailers," Agribusiness, John Wiley & Sons, Ltd., vol. 38(1), pages 108-133, January.
    24. Mustafa U. Karakaplan & Levent Kutlu, 2019. "Estimating market power using a composed error model," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(4), pages 489-510, September.
    25. Kutlu, Levent, 2017. "A constrained state space approach for estimating firm efficiency," Economics Letters, Elsevier, vol. 152(C), pages 54-56.
    26. Njuki, Eric & Bravo-Ureta, Boris E., 2016. "Measuring agricultural water productivity using a partial factor productivity approach," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246948, African Association of Agricultural Economists (AAAE).
    27. Griffiths, William E. & Hajargasht, Gholamreza, 2016. "Some models for stochastic frontiers with endogeneity," Journal of Econometrics, Elsevier, vol. 190(2), pages 341-348.
    28. Tsionas, Mike G., 2016. "Notes on technical efficiency estimation with multiple inputs and outputs," European Journal of Operational Research, Elsevier, vol. 249(2), pages 784-788.
    29. Lin, Winston T. & Chen, Yueh H. & Chou, Chia-Ching, 2021. "Assessing the business values of e-commerce and information technology separately and jointly and their impacts upon US firms' performance as measured by productive efficiency," International Journal of Production Economics, Elsevier, vol. 241(C).
    30. Wondmagegn Tirkaso & Atakelty Hailu, 2022. "Does neighborhood matter? Spatial proximity and farmers’ technical efficiency," Agricultural Economics, International Association of Agricultural Economists, vol. 53(3), pages 374-386, May.
    31. Frick, Fabian & Sauer, Johannes, 2016. "Deregulation and Productivity – Empirical Evidence on Dairy Production," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236032, Agricultural and Applied Economics Association.
    32. Levent Kutlu & Shasha Liu & Robin C. Sickles, 2022. "Cost, Revenue, and Profit Function Estimates," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 16, pages 641-679, Springer.
    33. Jiang, Nan & Sharp, Basil, 2014. "Cost Efficiency of Dairy Farming in New Zealand: A Stochastic Frontier Analysis," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 43(3), pages 1-13, December.
    34. William C. Horrace & Hyunseok Jung, 2018. "Stochastic frontier models with network selectivity," Journal of Productivity Analysis, Springer, vol. 50(3), pages 101-116, December.
    35. Levent Kutlu & Ran Wang, 2018. "Estimation of cost efficiency without cost data," Journal of Productivity Analysis, Springer, vol. 49(2), pages 137-151, June.
    36. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2019. "A time-varying true individual effects model with endogenous regressors," Journal of Econometrics, Elsevier, vol. 211(2), pages 539-559.
    37. Duygun, Meryem & Kutlu, Levent & Sickles, Robin C., 2014. "Measuring Productivity and Efficiency: A Kalman," Working Papers 15-010, Rice University, Department of Economics.
    38. Niskanen, Olli & Heikkilä, Anna-Maija, 2015. "The Impact of Parcel Structure on the Efficiency of Finnish Dairy Farms," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(1), pages 1-13, April.
    39. Mustafa U. Karakaplan & Levent Kutlu, 2017. "Handling Endogeneity in Stochastic Frontier Analysis," Economics Bulletin, AccessEcon, vol. 37(2), pages 889-901.
    40. Michael L. Polemis & Mike G. Tsionas, 2022. "Endogenous productivity: a new Bayesian perspective," Annals of Operations Research, Springer, vol. 318(1), pages 425-451, November.
    41. Mamonov Mikhail E. & Parmeter Christopher F. & Prokhorov Artem B., 2022. "Dependence modeling in stochastic frontier analysis," Dependence Modeling, De Gruyter, vol. 10(1), pages 123-144, January.
    42. Adler, Nicole & Delhaye, Eef & Kivel, Adit & Proost, Stef, 2020. "Motivating air navigation service provider performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 1053-1069.
    43. Tran, Kien C. & Tsionas, Mike G., 2016. "On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors," Economics Letters, Elsevier, vol. 147(C), pages 19-22.
    44. Kutlu, Levent, 2018. "A distribution-free stochastic frontier model with endogenous regressors," Economics Letters, Elsevier, vol. 163(C), pages 152-154.
    45. Kumbhakar, Subal C. & Tsionas, Mike G., 2021. "Dissections of input and output efficiency: A generalized stochastic frontier model," International Journal of Production Economics, Elsevier, vol. 232(C).
    46. Levent Kutlu & Kien C. Tran & Mike G. Tsionas, 2020. "Unknown latent structure and inefficiency in panel stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 54(1), pages 75-86, August.
    47. Adom, Philip Kofi & Amuakwa-Mensah, Franklin & Akorli, Charity Dzifa, 2023. "Energy efficiency as a sustainability concern in Africa and financial development: How much bias is involved?," Energy Economics, Elsevier, vol. 120(C).
    48. Preciado Arreola, José Luis & Johnson, Andrew L. & Chen, Xun C. & Morita, Hiroshi, 2020. "Estimating stochastic production frontiers: A one-stage multivariate semiparametric Bayesian concave regression method," European Journal of Operational Research, Elsevier, vol. 287(2), pages 699-711.
    49. Mohammad I. Al Masud & Levent Kutlu, 2018. "US Bank Efficiency and FED Activity," Economics Bulletin, AccessEcon, vol. 38(4), pages 2047-2059.
    50. Gustavo Carvalho Moreira & Ana Lucia Kassouf & Marcelo Justus, 2018. "An estimate of the underreporting of violent crimes against property applying stochastic frontier analysis to the state of Minas Gerais, Brazil [Estimativa do subregistro de crimes violentos contra a ," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 28(3), pages 778-806, September.

  143. Kumbhakar, Subal C. & Parmeter, Christopher F. & Tsionas, Efthymios G., 2012. "Bayesian estimation approaches to first-price auctions," Journal of Econometrics, Elsevier, vol. 168(1), pages 47-59.

    Cited by:

    1. Sanchari Choudhury, 2021. "Regulation and Corruption: Evidence from the United States," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 897-934, August.
    2. Ferona, Angeliki & Tsionas, Efthymios G., 2012. "Measurement of excess bidding in auctions," Economics Letters, Elsevier, vol. 116(3), pages 377-380.
    3. Moriah B. Bostian & Cinzia Daraio & Rolf Fare & Shawna Grosskopf & Maria Grazia Izzo & Luca Leuzzi & Giancarlo Ruocco & William L. Weber, 2018. "Inference for Nonparametric Productivity Networks: A Pseudo-likelihood Approach," DIAG Technical Reports 2018-06, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    4. Kim, Dong-Hyuk & Ratan, Anmol, 2022. "Disentangling risk aversion and loss aversion in first-price auctions: An empirical approach," European Economic Review, Elsevier, vol. 150(C).
    5. Aryal, Gaurab & Grundl, Serafin & Kim, Dong-Hyuk & Zhu, Yu, 2018. "Empirical relevance of ambiguity in first-price auctions," Journal of Econometrics, Elsevier, vol. 204(2), pages 189-206.

  144. Delis, Manthos D. & Tran, Kien C. & Tsionas, Efthymios G., 2012. "Quantifying and explaining parameter heterogeneity in the capital regulation-bank risk nexus," Journal of Financial Stability, Elsevier, vol. 8(2), pages 57-68.
    See citations under working paper version above.
  145. Tsionas, Efthymios G., 2012. "Estimating multivariate heavy tails and principal directions easily, with an application to international exchange rates," Statistics & Probability Letters, Elsevier, vol. 82(11), pages 1986-1989.

    Cited by:

    1. Jensen DR, 2017. "Limits and Inferences for Alpha–Stable Variables," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 4(1), pages 15-18, December.

  146. Ferona, Angeliki & Tsionas, Efthymios G., 2012. "Measurement of excess bidding in auctions," Economics Letters, Elsevier, vol. 116(3), pages 377-380.

    Cited by:

    1. Sanchari Choudhury, 2021. "Regulation and Corruption: Evidence from the United States," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 897-934, August.
    2. Leslie J. Verteramo Chiu & Loren W. Tauer & Yrjo T. Gröhn, 2022. "Pricing efficiency in livestock auction markets: A two‐tier frontier approach," Agricultural Economics, International Association of Agricultural Economists, vol. 53(S1), pages 139-151, November.
    3. Christopher F. Parmeter, 2017. "Estimation of the Two-Tiered Stochastic Frontier Model with the Scaling Property," Working Papers 2017-06, University of Miami, Department of Economics.
    4. Alecos Papadopoulos, 2015. "The half-normal specification for the two-tier stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 43(2), pages 225-230, April.
    5. Alecos Papadopoulos & Christopher F. Parmeter & Subal C. Kumbhakar, 2021. "Modeling dependence in two-tier stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 56(2), pages 85-101, December.
    6. Song, Wenfei & Han, Xianfeng, 2022. "The bilateral effects of foreign direct investment on green innovation efficiency: Evidence from 30 Chinese provinces," Energy, Elsevier, vol. 261(PB).

  147. Tsionas, Mike G. & Merikas, Andreas G. & Merika, Anna A., 2012. "Concentrated ownership and corporate performance revisited: The case of shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 843-852.

    Cited by:

    1. Alexandridis, George & Kavussanos, Manolis G. & Kim, Chi Y. & Tsouknidis, Dimitris A. & Visvikis, Ilias D., 2018. "A survey of shipping finance research: Setting the future research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 164-212.
    2. Drobetz, Wolfgang & Ehlert, Sebastian & Schröder, Henning, 2021. "Institutional ownership and firm performance in the global shipping industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    3. Drobetz, Wolfgang & Merikas, Andreas & Merika, Anna & Tsionas, Mike G., 2014. "Corporate social responsibility disclosure: The case of international shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 18-44.
    4. Anna, Merika & Anna, Triantafyllou & George, Zombanakis, 2019. "Wage and tax competitiveness: The case of Hellenic shipping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 255-270.
    5. Li-Ting Yeh, 2021. "Integrating corporate image of corporate social responsibility, stock price crash risk and profitability into a dynamic corporate sustainability performance measurement," Annals of Operations Research, Springer, vol. 305(1), pages 325-345, October.
    6. Andrikopoulos, Andreas & Merika, Anna A. & Triantafyllou, Anna & Merikas, Andreas G., 2013. "Internet disclosure and corporate performance: A case study of the international shipping industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 141-152.
    7. Mudassar Mushtaq & Sajida Parveen & Muhammad Furqan Ashraf, 2019. "Impact of Corporate Governance on a Firms Financial Performance (The Case of Pakistan)," Global Economics Review, Humanity Only, vol. 4(1), pages 11-21, March.
    8. Pouliasis, Panos K. & Papapostolou, Nikos C. & Kyriakou, Ioannis & Visvikis, Ilias D., 2018. "Shipping equity risk behavior and portfolio management," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 178-200.
    9. Arthur J. Lin & Hai-Yen Chang & Brian Hung, 2022. "Identifying Key Financial, Environmental, Social, Governance (ESG), Bond, and COVID-19 Factors Affecting Global Shipping Companies—A Hybrid Multiple-Criteria Decision-Making Method," Sustainability, MDPI, vol. 14(9), pages 1-29, April.
    10. Kokosalakis, George & Merika, Anna & Triantafyllou, Anna, 2021. "Energy efficiency and emissions control: The response of the second-hand containerships sector," Energy Economics, Elsevier, vol. 100(C).
    11. Drobetz, Wolfgang & Gounopoulos, Dimitrios & Merikas, Andreas & Schröder, Henning, 2013. "Capital structure decisions of globally-listed shipping companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 52(C), pages 49-76.
    12. Andrikopoulos, Andreas & Merika, Anna & Merikas, Andreas & Sigalas, Christos, 2021. "Related party transactions and principal-principal conflicts in public companies: Evidence from the maritime shipping industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    13. Antonio Pedro Soares Pinto & Mario Gomes Augusto, 2014. "Are There Non-linear Effects of Banking Relationships and Ownership Concentration on Operational Performance? Empirical Evidence from Portuguese SMEs Using Cross-section Analysis and Panel Data," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(4), pages 67-84, October.
    14. Drobetz, Wolfgang & Janzen, Malte & Requejo, Ignacio, 2019. "Capital allocation and ownership concentration in the shipping industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 78-99.
    15. Dominik Boddin & Frank Stähler, 2018. "The Organization of International Trade," CESifo Working Paper Series 7378, CESifo.
    16. Ahrends, Meike & Drobetz, Wolfgang & Nomikos, Nikos K., 2018. "Corporate cash holdings in the shipping industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 107-124.
    17. Andreou, Panayiotis C. & Louca, Christodoulos & Panayides, Photis M., 2014. "Corporate governance, financial management decisions and firm performance: Evidence from the maritime industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 63(C), pages 59-78.
    18. Merika, Anna & Theodoropoulou, Sotiria & Triantafyllou, Anna & Laios, Alexandros, 2015. "The relationship between business cycles and capital structure choice: The case of the international shipping industry," The Journal of Economic Asymmetries, Elsevier, vol. 12(2), pages 92-99.
    19. Liu, Jiaguo & Wang, Xiaoye & Guo, Junyu, 2021. "Port efficiency and its influencing factors in the context of Pilot Free Trade Zones," Transport Policy, Elsevier, vol. 105(C), pages 67-79.

  148. Tsionas, Efthymios G., 2012. "Maximum likelihood estimation of stochastic frontier models by the Fourier transform," Journal of Econometrics, Elsevier, vol. 170(1), pages 234-248.

    Cited by:

    1. Miao, Chenglin & Fang, Debin & Sun, Liyan & Luo, Qiaoling, 2017. "Natural resources utilization efficiency under the influence of green technological innovation," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 153-161.
    2. Abootaleb Shirvani & Svetlozar T. Rachev & Frank J. Fabozzi, 2019. "Multiple Subordinated Modeling of Asset Returns," Papers 1907.12600, arXiv.org.
    3. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    4. Bernardo B. Andrade & Geraldo S. Souza, 2018. "Likelihood computation in the normal-gamma stochastic frontier model," Computational Statistics, Springer, vol. 33(2), pages 967-982, June.
    5. Gholamreza Hajargasht & William E. Griffiths, 2016. "Estimation and Testing of Stochastic Frontier Models using Variational Bayes," Department of Economics - Working Papers Series 2024, The University of Melbourne.
    6. Mike G. Tsionas & Nicholas Apergis, 2023. "Another look at contagion across United States and European financial markets: Evidence from the credit default swaps markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 1137-1155, January.
    7. Simos G. Meintanis & Christos K. Papadimitriou, 2022. "Goodness--of--fit tests for stochastic frontier models based on the characteristic function," Journal of Productivity Analysis, Springer, vol. 57(3), pages 285-296, June.
    8. Maximilian Koppenberg & Stefan Hirsch, 2022. "Markup estimation: A comparison of contemporary methods at the example of European food retailers," Agribusiness, John Wiley & Sons, Ltd., vol. 38(1), pages 108-133, January.
    9. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    10. Christopher F. Parmeter, 2017. "Estimation of the Two-Tiered Stochastic Frontier Model with the Scaling Property," Working Papers 2017-06, University of Miami, Department of Economics.
    11. Tsionas, Mike G., 2023. "Performance estimation when the distribution of inefficiency is unknown," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1212-1222.
    12. Alecos Papadopoulos, 2015. "The half-normal specification for the two-tier stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 43(2), pages 225-230, April.
    13. Seog-Chan Oh & Jaemin Shin, 2021. "The Assessment of Car Making Plants with an Integrated Stochastic Frontier Analysis Model," Mathematics, MDPI, vol. 9(11), pages 1-21, June.
    14. Aydede, Yigit & Dar, Atul A., 2022. "Native-born-immigrant wage gap revisited: The role of market imperfections in Canada," CLEF Working Paper Series 50, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    15. Quang Nguyen & Sean Pascoe & Louisa Coglan & Son Nghiem, 2021. "The sensitivity of efficiency scores to input and other choices in stochastic frontier analysis: an empirical investigation," Journal of Productivity Analysis, Springer, vol. 55(1), pages 31-40, February.
    16. Stojanović, Vladica S. & Popović, Biljana Č. & Milovanović, Gradimir V., 2016. "The Split-SV model," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 560-581.

  149. Subal C. Kumbhakar & Efthymios G. Tsionas, 2011. "Some Recent Developments in Efficiency Measurement in Stochastic Frontier Models," Journal of Probability and Statistics, Hindawi, vol. 2011, pages 1-25, December.

    Cited by:

    1. Rawat, Pankaj S. & Sharma, Seema, 2021. "TFP growth, technical efficiency and catch-up dynamics: Evidence from Indian manufacturing," Economic Modelling, Elsevier, vol. 103(C).
    2. Habtamu ALEM, 2018. "Effects of model specification, short-run, and long-run inefficiency: an empirical analysis of stochastic frontier models," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(11), pages 508-516.
    3. Mutarindwa, Samuel & Siraj, Ibrahim & Stephan, Andreas, 2021. "Ownership and bank efficiency in Africa: True fixed effects stochastic frontier analysis," Journal of Financial Stability, Elsevier, vol. 54(C).

  150. Subal C. Kumbhakar & Efthymios G. Tsionas, 2011. "Stochastic error specification in primal and dual production systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(2), pages 270-297, March.

    Cited by:

    1. Delis, Manthos D. & Hasan, Iftekhar & Tsionas, Efthymios G., 2015. "Firms' risk endogenous to strategic management choices," Bank of Finland Research Discussion Papers 16/2015, Bank of Finland.
    2. Badunenko, Oleg & Kumbhakar, Subal C., 2016. "When, where and how to estimate persistent and transient efficiency in stochastic frontier panel data models," European Journal of Operational Research, Elsevier, vol. 255(1), pages 272-287.
    3. Oleg Badunenko & Daniel J. Henderson & Subal C. Kumbhakar, 2011. "When, where and how to perform efficiency estimation," Cologne Graduate School Working Paper Series 02-06, Cologne Graduate School in Management, Economics and Social Sciences.
    4. Kumbhakar, Subal C., 2012. "Specification and estimation of primal production models," European Journal of Operational Research, Elsevier, vol. 217(3), pages 509-518.
    5. Gong, Binlei, 2020. "Agricultural productivity convergence in China," China Economic Review, Elsevier, vol. 60(C).
    6. Tian, Xu & Sun, Feifei & Zhou, Yingheng, 2015. "Technical Efficiency and Its Determinants in China's Hog Production," 2015 Conference, August 9-14, 2015, Milan, Italy 212718, International Association of Agricultural Economists.
    7. Ruochen Wu & Melvyn Weeks, 2020. "A Semi-Parametric Bayesian Generalized Least Squares Estimator," Papers 2011.10252, arXiv.org, revised Jan 2023.
    8. Xi Chen, 2011. "Increasing Returns to Scale in U.S. manufacturing industries: evidence from direct and reverse regression," Working Papers of BETA 2011-11, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    9. Delis, Manthos & Hasan, Iftekhar & Tsionas, Efthymios, 2015. "Banks’ Risk Endogenous to Strategic Management Choices," MPRA Paper 64907, University Library of Munich, Germany.
    10. Gong, Binlei, 2020. "Measuring and Achieving World Agricultural Convergence," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304347, Agricultural and Applied Economics Association.
    11. Bittencourt, Mauricio Vaz Lobo & Sampaio, Armando Vaz, 2011. "Are Dual and Primal Estimations Equivalent in the Presence of Stochastic Errors in Input Demand?," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(2), December.
    12. Delis, Manthos D. & Hasan, Iftekhar & Tsionas, Efthymios G., 2014. "The risk of financial intermediaries," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 1-12.
    13. Delis, Manthos D. & Hasan, Iftekhar & Tsionas, Efthymios G., 2014. "The risk of financial intermediaries," Bank of Finland Research Discussion Papers 18/2014, Bank of Finland.
    14. Subal Kumbhakar & Kai Sun, 2012. "Estimation of TFP growth: a semiparametric smooth coefficient approach," Empirical Economics, Springer, vol. 43(1), pages 1-24, August.
    15. Zhaohui Yan & Mingli Wang & Xujun Li & Hui Jiang, 2023. "Impact of African Swine Fever Epidemic on the Cost Intensity of Pork Production in China," Agriculture, MDPI, vol. 13(2), pages 1-18, February.
    16. Kumbhakar, Subal C. & Lai, Hung-pin, 2016. "Maximum likelihood estimation of the revenue function system with output-specific technical efficiency," Economics Letters, Elsevier, vol. 138(C), pages 42-45.

  151. Tsionas, Efthymios G. & Baltas, Nicholas C. & Chionis, Dionysios P., 2011. "Rail infrastructure charging in Hellenic railways," Journal of Policy Modeling, Elsevier, vol. 33(3), pages 370-380, May.

    Cited by:

    1. Tsionas, Efthymios G. & Assaf, A. George & Matousek, Roman, 2015. "Dynamic technical and allocative efficiencies in European banking," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 130-139.
    2. Bugarinovic, Mirjana & Boskovic, Branislav, 2015. "A systems approach to access charges in unbundling railways," European Journal of Operational Research, Elsevier, vol. 240(3), pages 848-860.

  152. Subal Kumbhakar & Efthymios Tsionas, 2010. "Estimation of production risk and risk preference function: a nonparametric approach," Annals of Operations Research, Springer, vol. 176(1), pages 369-378, April.

    Cited by:

    1. Theodoros Skevas & Teresa Serra, 2016. "The role of pest pressure in technical and environmental inefficiency analysis of Dutch arable farms: an event-specific data envelopment approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 139-153, December.
    2. Vollenweider, Xavier & Di Falco, Salvatore & O'Donoghue, Cathal, 2011. "Risk Preferences and Voluntary Agri-environmental Schemes: Does Risk Aversion Explain the Uptake of the Rural Environment Protection Scheme?," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115552, European Association of Agricultural Economists.
    3. Tsionas, Mike G., 2016. "Parameters measuring bank risk and their estimation," European Journal of Operational Research, Elsevier, vol. 250(1), pages 291-304.
    4. Tsionas, Euthimios G. & Mamatzakis, Emmanuel C., 2017. "Adjustment costs in the technical efficiency: An application to global banking," European Journal of Operational Research, Elsevier, vol. 256(2), pages 640-649.
    5. Frank Asche & Andreea L. Cojocaru & Ruth B. M. Pincinato & Kristin H. Roll, 2020. "Production Risk in the Norwegian Fisheries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(1), pages 137-149, January.
    6. Bao-Li Miao & Ying Liu & Yu-Bing Fan & Xue-Jiao Niu & Xiu-Yun Jiang & Zeng Tang, 2023. "Optimization of Agricultural Resource Allocation among Crops: A Portfolio Model Analysis," Land, MDPI, vol. 12(10), pages 1-18, October.
    7. Nakamura, Hiroshi & Wakutsu, Naohiko, 2020. "Reducing Reimbursement Drug Price Risk to Enhance R&D Incentives without Raising Drug Prices/Expenditures: Implications of Simulations Based on Questionnaire Survey of Pharmaceutical Companies in Japa," Health Policy, Elsevier, vol. 124(7), pages 714-720.
    8. Hardaker, J. Brian & Lien, Gudbrand, 2010. "Probabilities for decision analysis in agriculture and rural resource economics: The need for a paradigm change," Agricultural Systems, Elsevier, vol. 103(6), pages 345-350, July.
    9. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    10. Li, Zheng & Rejesus, Roderick M. & Zheng, Xiaoyong, 2018. "Nonparametric Estimation and Inference of Production Risk with Categorical Variables," 2018 Annual Meeting, August 5-7, Washington, D.C. 274400, Agricultural and Applied Economics Association.
    11. Elie Appelbaum & Aman Ullah, 1997. "Estimation Of Moments And Production Decisions Under Uncertainty," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 631-637, November.
    12. Luigi Biagini & Simone Severini, 2022. "How Does the Farmer Strike a Balance between Income and Risk across Inputs? An Application in Italian Field Crop Farms," Sustainability, MDPI, vol. 14(23), pages 1-15, December.
    13. Soumyatanu Mukherjee & Sidhartha S. Padhi, 2022. "Sourcing decision under interconnected risks: an application of mean–variance preferences approach," Annals of Operations Research, Springer, vol. 313(2), pages 1243-1268, June.
    14. Samira Shayanmehr & Shida Rastegari Henneberry & Mahmood Sabouhi Sabouni & Naser Shahnoushi Foroushani, 2020. "Drought, Climate Change, and Dryland Wheat Yield Response: An Econometric Approach," IJERPH, MDPI, vol. 17(14), pages 1-18, July.
    15. Tomasz Gerard Czekaj & Arne Henningsen, 2013. "Panel Data Nonparametric Estimation of Production Risk and Risk Preferences: An Application to Polish Dairy Farms," IFRO Working Paper 2013/6, University of Copenhagen, Department of Food and Resource Economics.
    16. Pi, Lulu & Li, Zheng & Zheng, Xiaoyong & Rejesus, Roderick M., 2023. "Modeling the Relationship between Planting Density and Yield and Yield Risk Using a Flexible Estimation Framework," 2023 Annual Meeting, July 23-25, Washington D.C. 335514, Agricultural and Applied Economics Association.
    17. Efthymios G. Tsionas, 2014. "On modeling banking risk," Working Papers 183, Bank of Greece.
    18. Zheng Li & Roderick M. Rejesus & Xiaoyong Zheng, 2021. "Nonparametric Estimation and Inference of Production Risk," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1857-1877, October.
    19. Khayyat, Nabaz T. & Heshmati, Almas, 2014. "Production Risk, Energy Use Efficiency and Productivity of Korean Industries," IZA Discussion Papers 8081, Institute of Labor Economics (IZA).
    20. Agnaza, Manawa & Agbodji, Akoété Ega, 2022. "Technical Efficiency and Production Risk of Rice Farmers in TOGO," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 25(2), December.
    21. Bontemps, Christophe & Couture, Stéphane, 2015. "The effects of extreme climatic events on dairy farmers' risk preferences : A nonparametric approach," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205701, Agricultural and Applied Economics Association.
    22. Ashok K. Mishra & Mike G. Tsionas, 2020. "A Minimax Regret Approach to Decision Making Under Uncertainty," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 698-718, September.

  153. Tsionas, Efthymios G. & Papadakis, Emmanuel N., 2010. "A Bayesian approach to statistical inference in stochastic DEA," Omega, Elsevier, vol. 38(5), pages 309-314, October.

    Cited by:

    1. Assaf, A. George & Barros, Carlos & Sellers-Rubio, Ricardo, 2011. "Efficiency determinants in retail stores: a Bayesian framework," Omega, Elsevier, vol. 39(3), pages 283-292, June.
    2. Imad Bou-Hamad & Abdel Latef Anouze & Ibrahim H. Osman, 2022. "A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information," Annals of Operations Research, Springer, vol. 308(1), pages 63-92, January.
    3. Mitropoulos, Panagiotis & Talias, Μichael A. & Mitropoulos, Ioannis, 2015. "Combining stochastic DEA with Bayesian analysis to obtain statistical properties of the efficiency scores: An application to Greek public hospitals," European Journal of Operational Research, Elsevier, vol. 243(1), pages 302-311.
    4. Nathaniel D. Bastian & Tahir Ekin & Hyojung Kang & Paul M. Griffin & Lawrence V. Fulton & Benjamin C. Grannan, 2017. "Stochastic multi-objective auto-optimization for resource allocation decision-making in fixed-input health systems," Health Care Management Science, Springer, vol. 20(2), pages 246-264, June.
    5. Zhiyong Li & Chen Feng & Ying Tang, 2022. "Bank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis," Annals of Operations Research, Springer, vol. 315(1), pages 279-315, August.
    6. Merkert, Rico & Hensher, David A., 2011. "The impact of strategic management and fleet planning on airline efficiency - A random effects Tobit model based on DEA efficiency scores," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(7), pages 686-695, August.
    7. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    8. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    9. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    10. Paradi, Joseph C. & Rouatt, Stephen & Zhu, Haiyan, 2011. "Two-stage evaluation of bank branch efficiency using data envelopment analysis," Omega, Elsevier, vol. 39(1), pages 99-109, January.
    11. Ali Ebrahimnejad & Madjid Tavana & Seyed Hadi Nasseri & Omid Gholami, 2019. "A New Method for Solving Dual DEA Problems with Fuzzy Stochastic Data," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 147-170, January.
    12. Moriah B. Bostian & Cinzia Daraio & Rolf Fare & Shawna Grosskopf & Maria Grazia Izzo & Luca Leuzzi & Giancarlo Ruocco & William L. Weber, 2018. "Inference for Nonparametric Productivity Networks: A Pseudo-likelihood Approach," DIAG Technical Reports 2018-06, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    13. Zervopoulos, Panagiotis & Emrouznejad, Ali & Sklavos, Sokratis, 2019. "A Bayesian approach for correcting bias of data envelopment analysis estimators," MPRA Paper 91886, University Library of Munich, Germany.
    14. H. Leleu, 2013. "Inner and outer approximations of technology: a shadow profit approach," Post-Print hal-00798547, HAL.
    15. Zaiwu Gong & Xiaoqing Chen, 2017. "Analysis of Interval Data Envelopment Efficiency Model Considering Different Distribution Characteristics—Based on Environmental Performance Evaluation of the Manufacturing Industry," Sustainability, MDPI, vol. 9(12), pages 1-25, November.
    16. Tsionas, Mike G., 2020. "A coherent approach to Bayesian Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 281(2), pages 439-448.
    17. Panagiotis Mitropoulos & Panagiotis D. Zervopoulos & Ioannis Mitropoulos, 2020. "Measuring performance in the presence of noisy data with targeted desirable levels: evidence from healthcare units," Annals of Operations Research, Springer, vol. 294(1), pages 537-566, November.
    18. Abdullah Üstün & Gülay Barbarosoğlu, 2015. "Performance evaluation of Turkish disaster relief management system in 1999 earthquakes using data envelopment analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 1977-1996, January.
    19. Leme, Rafael C. & Paiva, Anderson P. & Steele Santos, Paulo E. & Balestrassi, Pedro P. & Galvão, Leandro de Lima, 2014. "Design of experiments applied to environmental variables analysis in electricity utilities efficiency: The Brazilian case," Energy Economics, Elsevier, vol. 45(C), pages 111-119.
    20. Rashed Khanjani Shiraz & Adel Hatami-Marbini & Ali Emrouznejad & Hirofumi Fukuyama, 2020. "Chance-constrained cost efficiency in data envelopment analysis model with random inputs and outputs," Operational Research, Springer, vol. 20(3), pages 1863-1898, September.
    21. Friesner, Daniel & Mittelhammer, Ron & Rosenman, Robert, 2013. "Inferring the incidence of industry inefficiency from DEA estimates," European Journal of Operational Research, Elsevier, vol. 224(2), pages 414-424.

  154. Brissimis, Sophocles N. & Delis, Manthos D. & Tsionas, Efthymios G., 2010. "Technical and allocative efficiency in European banking," European Journal of Operational Research, Elsevier, vol. 204(1), pages 153-163, July.
    See citations under working paper version above.
  155. Kien Tran & Efthymios Tsionas, 2010. "Local GMM Estimation of Semiparametric Panel Data with Smooth Coefficient Models," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 39-61.

    Cited by:

    1. Ketteni, Elena & Kottaridi, Constantina, 2019. "The impact of regulations on the FDI-growth nexus within the institution-based view: A nonlinear specification with varying coefficients," International Business Review, Elsevier, vol. 28(3), pages 415-427.
    2. POLEMIS, MICHAEL & Stengos, Thanasis, 2020. "Threshold effects during the COVID-19 pandemic: Evidence from international tourist destinations," MPRA Paper 102845, University Library of Munich, Germany.
    3. Fafaliou, Irene & Giaka, Maria & Konstantios, Dimitrios & Polemis, Michael, 2022. "Firms’ ESG reputational risk and market longevity: A firm-level analysis for the United States," Journal of Business Research, Elsevier, vol. 149(C), pages 161-177.
    4. Tran, Kien C. & Tsionas, Mike G. & Prokhorov, Artem B., 2023. "Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1189-1199.
    5. Jun Cai & William C. Horrace & Christopher F. Parmeter, 2021. "Density deconvolution with Laplace errors and unknown variance," Journal of Productivity Analysis, Springer, vol. 56(2), pages 103-113, December.
    6. Agiropoulos, Charalampos & Karkalakos, Sotiris & Polemis, Michael, 2019. "Revisiting the finance-growth nexus: A socioeconomic approach," MPRA Paper 95209, University Library of Munich, Germany.
    7. Francesco Bravo, 2016. "Local Information Theoretic Methods for smooth Coefficients Dynamic Panel Data Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(5), pages 690-708, September.
    8. Su Liangjun & Tadao Hoshino, 2015. "Sieve Instrumental Variable Quantile Regression Estimation of Functional Coefficient Models," Working Papers 01-2015, Singapore Management University, School of Economics.
    9. Delis, Manthos D. & Tran, Kien C. & Tsionas, Efthymios G., 2012. "Quantifying and explaining parameter heterogeneity in the capital regulation-bank risk nexus," Journal of Financial Stability, Elsevier, vol. 8(2), pages 57-68.
    10. Halkos, George & Polemis, Michael, 2016. "The good, the bad and the ugly? Balancing environmental and economic impacts towards efficiency," MPRA Paper 72132, University Library of Munich, Germany.
    11. Tsionas, Mike G. & Polemis, Michael L., 2019. "On the estimation of total factor productivity: A novel Bayesian non-parametric approach," European Journal of Operational Research, Elsevier, vol. 277(3), pages 886-902.
    12. Polemis, Michael L. & Stengos, Thanasis, 2015. "Does market structure affect labour productivity and wages? Evidence from a smooth coefficient semiparametric panel model," Economics Letters, Elsevier, vol. 137(C), pages 182-186.
    13. McCloud Nadine & Delgado Michael S. & Kumbhakar Subal C., 2018. "Foreign Direct Investment and Growth Symbiosis: A Semiparametric System of Simultaneous Equations Analysis," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-31, January.
    14. Polemis, Michael L. & Tsionas, Mike G., 2016. "An alternative semiparametric approach to the modelling of asymmetric gasoline price adjustment," Energy Economics, Elsevier, vol. 56(C), pages 384-388.
    15. Polemis, Michael L. & Tzeremes, Nickolaos G., 2019. "Competitive conditions and sectors’ productive efficiency: A conditional non-parametric frontier analysis," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1104-1118.

  156. Meintanis, Simos G. & Tsionas, Efthimios, 2010. "Testing for the generalized normal-Laplace distribution with applications," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3174-3180, December.

    Cited by:

    1. Eduardo Gutiérrez González & José Villaseñor Alva & Olga Panteleeva & Humberto Vaquera Huerta, 2013. "On testing the log-gamma distribution hypothesis by bootstrap," Computational Statistics, Springer, vol. 28(6), pages 2761-2776, December.
    2. L. Baringhaus & B. Ebner & N. Henze, 2017. "The limit distribution of weighted $$L^2$$ L 2 -goodness-of-fit statistics under fixed alternatives, with applications," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 69(5), pages 969-995, October.

  157. Vouldis, Angelos T. & Michaelides, Panayotis G. & Tsionas, Efthymios G., 2010. "Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML," Economic Modelling, Elsevier, vol. 27(3), pages 697-704, May.

    Cited by:

    1. Caroline Khan & Mike G. Tsionas, 2021. "Constraints in models of production and cost via slack-based measures," Empirical Economics, Springer, vol. 61(6), pages 3347-3374, December.
    2. Liao, Jui-Jung & Shih, Ching-Hui & Chen, Tai-Feng & Hsu, Ming-Fu, 2014. "An ensemble-based model for two-class imbalanced financial problem," Economic Modelling, Elsevier, vol. 37(C), pages 175-183.
    3. Panayotis G. Michaelides & Angelos T. Vouldis & Efthymios G. Tsionas, 2011. "Returns to scale, productivity and efficiency in US banking (1989-2000): the neural distance function revisited," Working Papers 126, Bank of Greece.

  158. Michaelides, Panayotis G. & Vouldis, Angelos T. & Tsionas, Efthymios G., 2010. "Globally flexible functional forms: The neural distance function," European Journal of Operational Research, Elsevier, vol. 206(2), pages 456-469, October.

    Cited by:

    1. Tsionas, Mike G., 2020. "Bounded rationality and thick frontiers in stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 284(2), pages 762-768.
    2. Panayotis G. Michaelides & Efthymios G. Tsionas & Angelos T. Vouldis & Konstantinos N. Konstantakis & Panagiotis Patrinos, 2018. "A Semi-Parametric Non-linear Neural Network Filter: Theory and Empirical Evidence," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 637-675, March.
    3. Alireza Tamadonnejad & Aisyah Abdul-Rahman & Mariani Abdul-Majid & Mansor Jusoh, 2017. "The evaluation of East Asian banks by considering economic and political conditions as well as country risk," International Economics and Economic Policy, Springer, vol. 14(1), pages 27-41, January.
    4. Tsionas, Mike G., 2023. "Combining data envelopment analysis and stochastic frontiers via a LASSO prior," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1158-1166.
    5. Anwar Al-Gasaymeh, 2020. "Economic Freedom, Country Risk and Cost Efficiency in Jordan and the GCC Countries," Global Business Review, International Management Institute, vol. 21(1), pages 1-17, February.
    6. Tsionas, Mike G. & Andrikopoulos, Athanasios, 2020. "On a High-Dimensional Model Representation method based on Copulas," European Journal of Operational Research, Elsevier, vol. 284(3), pages 967-979.
    7. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "Smooth approximations to monotone concave functions in production analysis: An alternative to nonparametric concave least squares," European Journal of Operational Research, Elsevier, vol. 271(3), pages 797-807.
    8. Tomasz Gerard Czekaj & Arne Henningsen, 2012. "Comparing Parametric and Nonparametric Regression Methods for Panel Data: the Optimal Size of Polish Crop Farms," IFRO Working Paper 2012/12, University of Copenhagen, Department of Food and Resource Economics.

  159. Delis, Manthos D. & Tsionas, Efthymios G., 2009. "The joint estimation of bank-level market power and efficiency," Journal of Banking & Finance, Elsevier, vol. 33(10), pages 1842-1850, October.
    See citations under working paper version above.
  160. Ioanna Konstantakopoulou & Eftymios Tsionas & Tryphon Kollintzas, 2009. "Stylized Facts of Prices and Interest Rates over the Business Cycle," Economics Bulletin, AccessEcon, vol. 29(4), pages 2613-2627.

    Cited by:

    1. Joseph Haslag & William Brock, 2014. "On Understanding the Cyclical Behavior of the Price Level and Inflation," Working Papers 1404, Department of Economics, University of Missouri, revised 01 Jul 2014.
    2. Alexandra Ferreira-Lopes & Tiago Neves Sequeira, 2012. "Business Cycles Association in a Small Monetary Union: The Case of Switzerland," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 9-30, March.
    3. Antonakakis, Nikolaos & Gupta, Rangan & Tiwari, Aviral K., 2017. "The time-varying correlation between output and prices in the United States over the period 1800–2014," Economic Systems, Elsevier, vol. 41(1), pages 98-108.
    4. Brock, William A. & Haslag, Joseph H., 2016. "A tale of two correlations: Evidence and theory regarding the phase shift between the price level and output," Journal of Economic Dynamics and Control, Elsevier, vol. 67(C), pages 40-57.
    5. Guglielmo Maria Caporale & Gloria Claudio-Quiroga & Luis A. Gil-Alana, 2021. "The Relationship between Prices and Output in the UK and the US," CESifo Working Paper Series 8970, CESifo.

  161. Tran, Kien C. & Tsionas, Efthymios G., 2009. "Estimation of nonparametric inefficiency effects stochastic frontier models with an application to British manufacturing," Economic Modelling, Elsevier, vol. 26(5), pages 904-909, September.

    Cited by:

    1. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    2. Orea, Luis & Steinbuks, Jevgenijs, 2012. "Estimating Market Power in Homogenous Product Markets Using a Composed Error Model: Application to the California Electricity Market," Efficiency Series Papers 2012/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    3. Christopher F. Parmeter & Hung-Jen Wang & Subal C. Kumbhakar, 2017. "Nonparametric estimation of the determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 47(3), pages 205-221, June.
    4. Zhou, Jianhua & Parmeter, Christopher F. & Kumbhakar, Subal C., 2020. "Nonparametric estimation of the determinants of inefficiency in the presence of firm heterogeneity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1142-1152.
    5. Alessandro Bonanno & Francesco Bimbo & Marco Costanigro & Alfons Oude Lansink & Rosaria Viscecchia, 2019. "Credence attributes and the quest for a higher price – a hedonic stochastic frontier approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(2), pages 163-192.
    6. Tadesse Getacher Engida & Christopher F. Parmeter & Xudong Rao & Alfons G.J.M. Oude Lansink, 2022. "Investment Inefficiency and Corporate Social Responsibility," Journal of Productivity Analysis, Springer, vol. 58(1), pages 95-108, August.
    7. Stacy Eller & Peter Hartley & Kenneth Medlock, 2011. "Empirical evidence on the operational efficiency of National Oil Companies," Empirical Economics, Springer, vol. 40(3), pages 623-643, May.
    8. Christopher F. Parmeter, 2017. "Estimation of the Two-Tiered Stochastic Frontier Model with the Scaling Property," Working Papers 2017-06, University of Miami, Department of Economics.
    9. Zeebari, Zangin & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2021. "Regularized Conditional Estimators of Unit Inefficiency in Stochastic Frontier Analysis, with Application to Electricity Distribution Market," Ratio Working Papers 345, The Ratio Institute.
    10. Christopher F. Parmeter & Valentin Zelenyuk, 2016. "A Bridge Too Far? The State of the Art in Combining the Virtues of Stochastic Frontier Analysis and Data Envelopement Analysis," Working Papers 2016-10, University of Miami, Department of Economics.

  162. Subal Kumbhakar & Efthymios Tsionas & Timo Sipiläinen, 2009. "Joint estimation of technology choice and technical efficiency: an application to organic and conventional dairy farming," Journal of Productivity Analysis, Springer, vol. 31(3), pages 151-161, June.

    Cited by:

    1. Henderson, Stuart & Davidova, Sophia & Bailey, Alastair & Latruffe, Laure & Vedrine, Lionel & Desjeux, Yann, 2021. "Ecological Agriculture and Return to Skills: A Comparison between France and the UK," 2021 Conference, August 17-31, 2021, Virtual 315217, International Association of Agricultural Economists.
    2. Maria Raimondo & Francesco Caracciolo & Concetta Nazzaro & Giuseppe Marotta, 2021. "Organic Farming Increases the Technical Efficiency of Olive Farms in Italy," Agriculture, MDPI, vol. 11(3), pages 1-15, March.
    3. Essilfie, Felix Larry, 2018. "Varietal seed technology and household income of maize farmers: An application of the doubly robust model," Technology in Society, Elsevier, vol. 55(C), pages 85-91.
    4. Jean Joseph Minviel & Kristof De Witte, 2016. "The influence of public subsidies on farm technical efficiency: A robust conditional nonparametric approach," Working Papers SMART 16-10, INRAE UMR SMART.
    5. Bahta, S. & Temoso, O. & Mekonnen, D. & Malope, P. & Staal, S., 2018. "Technical efficiency of beef production in agricultural districts of Botswana: A Latent Class Stochastic Frontier Model Approach," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277207, International Association of Agricultural Economists.
    6. Md Nazirul Islam Sarker & Md Abdus Salam & R. B. Radin Firdaus, 2024. "Do female labor‐migrated households have lower productivity? Empirical evidence from rural rice farms in Bangladesh," Growth and Change, Wiley Blackwell, vol. 55(1), March.
    7. Lakner, Sebastian, 2010. "Efficiency Cluster in Organic Grassland Farming in Germany – Methodological and Practical Implications," 116th Seminar, October 27-30, 2010, Parma, Italy 95053, European Association of Agricultural Economists.
    8. Maria Vrachioli & Spiro E. Stefanou & Vangelis Tzouvelekas, 2021. "Impact Evaluation of Alternative Irrigation Technology in Crete: Correcting for Selectivity Bias," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 551-574, July.
    9. Breustedt, Gunnar & Latacz-Lohmann, Uwe & Tiedemann, Torben, 2011. "Organic or conventional? Optimal dairy farming technology under the EU milk quota system and organic subsidies," Food Policy, Elsevier, vol. 36(2), pages 223-229, April.
    10. Xiaoheng Zhang & Wanglin Ma & Puneet Vatsa & Shijie Jiang, 2023. "Short supply chain, technical efficiency, and technological change: Insights from cucumber production," Agribusiness, John Wiley & Sons, Ltd., vol. 39(2), pages 371-386, March.
    11. Sauer, J. & Morrison-Paul, C., 2011. "Technologies and Localized Technical Change," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 46, March.
    12. Latruffe, Laure & Nauges, Céline, 2010. "Technical efficiency and conversion to organic farming: the case of France," Working Papers 210393, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    13. Christian Grovermann & Sylvain Quiédeville & Adrian Muller & Florian Leiber & Matthias Stolze & Simon Moakes, 2021. "Does organic certification make economic sense for dairy farmers in Europe?–A latent class counterfactual analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 1001-1012, November.
    14. Carrer, Marcelo José & Filho, Hildo Meirelles de Souza & Vinholis, Marcela de Mello Brandão & Mozambani, Carlos Ivan, 2022. "Precision agriculture adoption and technical efficiency: An analysis of sugarcane farms in Brazil," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    15. Begin, Rosemarie & Tamini, Lota D. & Doyon, Maurice, 2014. "L'effet du travail hors-ferme sur l'efficacité technique des fermes laitières québécoises: un modèle intégrant les biais de sélection sur les observables et inobservables," Working Papers 187233, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    16. Hung-pin Lai, 2013. "Estimation of the threshold stochastic frontier model in the presence of an endogenous sample split variable," Journal of Productivity Analysis, Springer, vol. 40(2), pages 227-237, October.
    17. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    18. K Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2022. "Modeling heterogeneous technologies in the presence of sample selection: The case of dairy farms and the adoption of agri‐environmental schemes in France [Modélisation de technologies hétérogènes e," Post-Print hal-03516608, HAL.
    19. Kantelhardt, Jochen & Kirchweger, Stefan, 2015. "Matching Efficiency Results of Organic Farms," 2015 Conference, August 9-14, 2015, Milan, Italy 212024, International Association of Agricultural Economists.
    20. Basurto Hernandez, Saul & Maddison, David & Banerjee, Anindya, 2018. "The effect of PROCAMPO on farms’ technical efficiency: A Stochastic Frontier Analysis," 2018 Annual Meeting, August 5-7, Washington, D.C. 274376, Agricultural and Applied Economics Association.
    21. Mohammed, Sadick & Abdulai, Awudu, 2021. "Extension Participation and Improved Technology Adoption: Impact on Efficiency and Welfare of Farmers in Ghana," 2021 Conference, August 17-31, 2021, Virtual 315362, International Association of Agricultural Economists.
    22. Malabayabas, Maria Luz L. & Mishra, Ashok K. & Mayorga, Joaquin, 2023. "Spouses' Access to Financial Services: Estimating Technological and Managerial Gaps in Production," IZA Discussion Papers 16578, Institute of Labor Economics (IZA).
    23. Lawless, Martina & Martinez-Cillero, Maria & O'Toole, Conor, 2021. "SME investment determinants and financing constraints: A stochastic frontier approach," Papers WP699, Economic and Social Research Institute (ESRI).
    24. Pechrová, M. & Vlašicová, E., 2013. "Technical Efficiency of Organic and Biodynamic Farms in the Czech Republic," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(4), pages 1-10, December.
    25. Fissha Asmare & Jūratė Jaraitė & Andrius Kažukauskas, 2022. "Climate change adaptation and productive efficiency of subsistence farming: A bias‐corrected panel data stochastic frontier approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 739-760, September.
    26. Yitayew, Asresu & Abdulai, Awudu & Yigezu, Yigezu A., 2023. "The effects of advisory services and technology channeling on farm yields and technical efficiency of wheat farmers in Ethiopia," Food Policy, Elsevier, vol. 116(C).
    27. Caetano Luiz Beber & Sebastian Lakner & Ioannis Skevas, 2021. "Organizational forms and technical efficiency of the dairy processing industry in Southern Brazil," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-22, December.
    28. Lakner, Sebastian & Breustedt, Gunnar, 2015. "Efficiency analysis of organic farming systems- a review of methods, topics, results, and conclusions," 2015 Conference, August 9-14, 2015, Milan, Italy 212025, International Association of Agricultural Economists.
    29. Owusu, Eric S. & Bravo-Ureta, Boris E., 2022. "Reap when you sow? The productivity impacts of early sowing in Malawi," Agricultural Systems, Elsevier, vol. 199(C).
    30. Moritz Flubacher & George Sheldon & Adrian Müller, 2015. "Comparison of the Economic Performance between Organic and Conventional Dairy Farms in the Swiss Mountain Region Using Matching and Stochastic Frontier Analysis," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 7(1), pages 76-84.
    31. Shaibu Baanni Azumah & Samuel Arkoh Donkoh & Joseph Agebase Awuni, 2019. "Correcting for sample selection in stochastic frontier analysis: insights from rice farmers in Northern Ghana," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 7(1), pages 1-15, December.
    32. Bostian, AJ A. & Bostian, Moriah B. & Laukkanen, Marita & Simola, Antti, 2018. "Assessing the Productivity Consequences of Agri-Environmental Practices When Adoption Is Endogenous," Working Papers 112, VATT Institute for Economic Research.
    33. Letort, Elodie & Dupraz, P, 2023. "Animal feed as a lever to reduce methane emissions: a micro-econometric approach applied to French dairy farms," Working Papers 338908, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    34. Key, Nigel D. & McBride, William D., 2012. "Sub-therapeutic Antibiotics and the Efficiency of U.S. Hog Farms," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124725, Agricultural and Applied Economics Association.
    35. Simone Pieralli & Silke Hüttel & Martin Odening, 2013. "A model of firm exit under inefficiency and uncertainty," EcoMod2013 5236, EcoMod.
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    37. Laure Latruffe & Andreas Niedermayr & Yann Desjeux & K Herve Dakpo & Kassoum Ayouba & Lena Schaller & Jochen Kantelhardt & Yan Jin & Kevin Kilcline & Mary Ryan & Cathal O’Donoghue, 2023. "Identifying and assessing intensive and extensive technologies in European dairy farming," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(4), pages 1482-1519.
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    39. German Blanco, 2017. "Who benefits from job placement services? A two-sided analysis," Journal of Productivity Analysis, Springer, vol. 47(1), pages 33-47, February.
    40. Bernhard Dalheimer & Christoph Kubitza & Bernhard Brümmer, 2022. "Technical efficiency and farmland expansion: Evidence from oil palm smallholders in Indonesia," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1364-1387, August.
    41. Pechrova, M., 2014. "Determinants of the Farmers’ Conversion to Organic and Biodynamic Agriculture," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(4), pages 1-8, December.
    42. Pieralli, Simone & Hüttel, Silke & Odening, Martin, 2014. "Abandonment of milk production under uncertainty and inefficiency: The case of West German farms," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170236, Agricultural and Applied Economics Association.
    43. Boris Bravo-Ureta & William Greene & Daniel Solís, 2012. "Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project," Empirical Economics, Springer, vol. 43(1), pages 55-72, August.
    44. Abdessalem Abassi & Lota Dabio Tamini, 2016. "Trade performance and potential of North African countries: An application of a stochastic frontier gravity model," Cahiers de recherche CREATE 2016-4, CREATE.
    45. Marie PECHROVÁ, 2015. "Impact of the Rural Development Programme Subsidies on the farms' inefficiency and efficiency," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(5), pages 197-204.
    46. Abdul-Rahaman, Awal & Abdulai, Awudu, 2018. "Do farmer groups impact on farm yield and efficiency of smallholder farmers? Evidence from rice farmers in northern Ghana," Food Policy, Elsevier, vol. 81(C), pages 95-105.
    47. Narangerel Ganbold & Shah Fahad & Hua Li & Tumendemberel Gungaa, 2022. "An evaluation of subsidy policy impacts, transient and persistent technical efficiency: A case of Mongolia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9223-9242, July.
    48. Sauer, J. & Davidova, S. & Gorton, M., 2013. "Land Fragmentation and Market Integration- Heterogenous Technologies in Kosovo," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 48, March.
    49. Boris E. Bravo‐Ureta & Mario González‐Flores & William Greene & Daniel Solís, 2021. "Technology and Technical Efficiency Change: Evidence from a Difference in Differences Selectivity Corrected Stochastic Production Frontier Model," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 362-385, January.
    50. Hung-pin Lai, 2015. "Maximum likelihood estimation of the stochastic frontier model with endogenous switching or sample selection," Journal of Productivity Analysis, Springer, vol. 43(1), pages 105-117, February.
    51. William C. Horrace & Hyunseok Jung, 2018. "Stochastic frontier models with network selectivity," Journal of Productivity Analysis, Springer, vol. 50(3), pages 101-116, December.
    52. Djokoto, Justice G., 2015. "Technical efficiency of organic agriculture: a quantitative review," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 117(2), pages 1-11, August.
    53. Orea, Luis & Pérez, Jose A. & Roibás, David, 2013. "Evaluating the double effect of land fragmentation on technology choice and dairy farm productivity: A latent class model approach," Efficiency Series Papers 2013/08, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    54. Sipilainen, Timo & Kuosmanen, Timo & Kumbhakar, Subal C., 2008. "Measuring productivity differentials – An application to milk production in Nordic countries," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44277, European Association of Agricultural Economists.
    55. Breustedt, Gunnar & Latacz-Lohmann, Uwe & Tiedemann, Torben, 2010. "Organic Or Conventional? Optimal Dairy Farming Technology Under The Eu Milk Quota System And Organic Subsidies," 50th Annual Conference, Braunschweig, Germany, September 29-October 1, 2010 93934, German Association of Agricultural Economists (GEWISOLA).
    56. William Greene, 2010. "A stochastic frontier model with correction for sample selection," Journal of Productivity Analysis, Springer, vol. 34(1), pages 15-24, August.
    57. Centorrino, Samuele & Pérez-Urdiales, María & Bravo-Ureta, Boris & Wall, Alan, 2022. "Binary endogenous treatment in stochastic frontier models with an application to soil conservation in El Salvador," Efficiency Series Papers 2022/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    58. Roman Neyter & Oleg Nivievskyi, 2023. "Effect of subsidies on farms' exit decision," Agribusiness, John Wiley & Sons, Ltd., vol. 39(4), pages 941-959, October.
    59. Singh, S.P. & Sajwan, Priya & Sajwan, Komal, 2023. "Technical Efficiency in Organic and Conventional Wheat Farms: Evidence from a Primary Survey from Two Districts of Ganga River Basin, India," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334558, Agricultural Economics Society - AES.
    60. Lakner, Sebastian, 2009. "Technical efficiency of organic milk-farms in Germany - the role of subsidies and of regional factors," 2009 Conference, August 16-22, 2009, Beijing, China 51301, International Association of Agricultural Economists.
    61. Zdenka MALÁ & Michal MALÝ, 2013. "The determinants of adopting organic farming practices: a case study in the Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(1), pages 19-28.
    62. Elizabeth Ahikiriza & Jef Meensel & Xavier Gellynck & Ludwig Lauwers, 2021. "Heterogeneity in frontier analysis: does it matter for benchmarking farms?," Journal of Productivity Analysis, Springer, vol. 56(2), pages 69-84, December.
    63. Latruffe, Laure & Nauges, Celine, 2010. "Converting to organic farming in France: Is there a selection problem?," 120th Seminar, September 2-4, 2010, Chania, Crete 109386, European Association of Agricultural Economists.
    64. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Land Fragmentation, Market Integration and Farm Efficiency: Empirical Evidence from Kosovo," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123236, Agricultural and Applied Economics Association.
    65. Johannes Sauer, 2011. "The Empirical Identification of Heterogenous Technologies and Technical Change," Post-Print hal-00768585, HAL.
    66. Elodie Letort & Aude Ridier, 2022. "The economic performance of transitional and non-transitional organic dairy farms: A panel data econometric approach in Brittany [Les performances économiques des exploitations laitières en agricul," Working Papers hal-03635268, HAL.
    67. Letort, Elodie & Ridier, Aude, 2022. "The economic performance of transitional and non-transitional organic dairy farms: A panel data econometric approach in Brittany," Working Papers 320345, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    68. Won-Sik Hwang & Ho-Sung Kim, 2022. "Does the adoption of emerging technologies improve technical efficiency? Evidence from Korean manufacturing SMEs," Small Business Economics, Springer, vol. 59(2), pages 627-643, August.
    69. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Heterogeneous Technologies as an Answer to Market and Price Risk: The Case of Kosovo," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122509, European Association of Agricultural Economists.
    70. Anugu Amarender Reddy & Indrek Melts & Geetha Mohan & Ch Radhika Rani & Vaishnavi Pawar & Vikas Singh & Manesh Choubey & Trupti Vashishtha & A Suresh & Madhusudan Bhattarai, 2022. "Economic Impact of Organic Agriculture: Evidence from a Pan-India Survey," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    71. Dibyendu Maiti & Chiranjib Neogi, 2020. "Endogeneity Corrected Stochastic Frontier with Market Imperfections," Working papers 313, Centre for Development Economics, Delhi School of Economics.
    72. Ma, Wanglin & Renwick, Alan & Yuan, Peng & Ratna, Nazmun, 2018. "Agricultural cooperative membership and technical efficiency of apple farmers in China: An analysis accounting for selectivity bias," Food Policy, Elsevier, vol. 81(C), pages 122-132.
    73. Ayobami Adetoyinbo & Verena Otter, 2022. "Can producer groups improve technical efficiency among artisanal shrimpers in Nigeria? A study accounting for observed and unobserved selectivity," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-33, December.
    74. Froehlich, Anderson G. & Melo, Andrea S.S.A. & Sampaio, Breno, 2018. "Comparing the Profitability of Organic and Conventional Production in Family Farming: Empirical Evidence From Brazil," Ecological Economics, Elsevier, vol. 150(C), pages 307-314.
    75. Bravo-Ureta, Boris E. & Jara-Rojas, Roberto & Lachaud, Michee A. & Moreira L., Victor H. & Scheierling, Susanne M., 2015. "Water and Farm Efficiency: Insights from the Frontier Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206076, Agricultural and Applied Economics Association.
    76. Spiegel, Alisa & Coletta, Attilio & Severini, Simone, 2022. "The distortive effect of organic payments: An example of policy failure in the case of hazelnut plantation," Land Use Policy, Elsevier, vol. 119(C).
    77. Martinez-Cillero, Maria & Lawless, Martina & O'Toole, Conor, 2023. "Analysing SME investment, financing constraints and its determinants. A stochastic frontier approach," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 578-588.
    78. Tiedemann, Torben & Latacz-Lohmann, Uwe, 2011. "Empirische Analysen zur Produktivitätsentwicklung im ökologischen und konventionellen Landbau," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 60(02), pages 1-18, May.
    79. Boris E. Bravo-Ureta, 2014. "Stochastic frontiers, productivity effects and development projects," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 51-58.
    80. Vladimír Kostlivý & Zuzana Fuksová, 2019. "Technical efficiency and its determinants for Czech livestock farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(4), pages 175-184.
    81. Fertő, Imre & Baráth, Lajos, 2013. "Heterogenitás és technikai hatékonyság - a magyar specializált szántóföldi növénytermesztő üzemek esete [Heterogeneity and technical efficiency - the case of Hungarys specialized arable crop produc," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 650-669.

  163. Subal Kumbhakar & Efthymios Tsionas, 2008. "Scale and efficiency measurement using a semiparametric stochastic frontier model: evidence from the U.S. commercial banks," Empirical Economics, Springer, vol. 34(3), pages 585-602, June.

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    1. Delis, Manthos D & Iosifidi, Maria & Tsionas, Efthymios, 2012. "On the estimation of marginal cost," MPRA Paper 43514, University Library of Munich, Germany.
    2. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    3. Spierdijka, Laura & Zaourasa, Michalis, 2018. "Measuring banks’ market power in the presence of economies of scale: A scale-corrected Lerner index," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 40-48.
    4. Maruyama, Eduardo & Schollard, Phoebe, 2021. "Geographic prioritization of agricultural investments: Prioritization of agricultural and nutrition investments," 2021 Conference, August 17-31, 2021, Virtual 315292, International Association of Agricultural Economists.
    5. Michael Zschille, 2014. "Nonparametric measures of returns to scale: an application to German water supply," Empirical Economics, Springer, vol. 47(3), pages 1029-1053, November.
    6. Marijn Verschelde & Michel Dumont & Glenn Rayp & Bruno Merlevede, 2015. "Semiparametric stochastic metafrontier efficiency of European manufacturing firms," Post-Print hal-01563023, HAL.
    7. Xiao-Yan Liu & Li-Qiu Liu & Bai-Chen Xie & Michael G. Pollitt, 2018. "Does environmental heterogeneity affect the productive efficiency of grid utilities in China?," Working Papers EPRG 1820, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    8. Shaffer, Sherrill & Spierdijk, Laura, 2020. "Measuring multi-product banks’ market power using the Lerner index," Journal of Banking & Finance, Elsevier, vol. 117(C).
    9. Lopez Gomez, Daniel & Parmeter, Christopher F., 2020. "Smooth coefficient estimation of stochastic frontier models," Economics Letters, Elsevier, vol. 193(C).
    10. Christopher F. Parmeter & Valentin Zelenyuk, 2019. "Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis," Operations Research, INFORMS, vol. 67(6), pages 1628-1658, November.
    11. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    12. Teresa Serra & Barry Goodwin, 2009. "The efficiency of Spanish arable crop organic farms, a local maximum likelihood approach," Journal of Productivity Analysis, Springer, vol. 31(2), pages 113-124, April.
    13. Hadad, Muliaman D. & Hall, Maximilian J.B. & Santoso, Wimboh & Simper, Richard, 2013. "Economies of scale and a process for identifying hypothetical merger potential in Indonesian commercial banks," Journal of Asian Economics, Elsevier, vol. 26(C), pages 42-51.
    14. Maruyama, Eduardo & Torero, Maximo & Scollard, Phoebe & Elías, Maribel & Mulangu, Francis & Seck, Abdoulaye, 2018. "Frontier analysis and agricultural typologies," Discussion Papers 270849, University of Bonn, Center for Development Research (ZEF).
    15. Christopher F. Parmeter & Valentin Zelenyuk, 2016. "A Bridge Too Far? The State of the Art in Combining the Virtues of Stochastic Frontier Analysis and Data Envelopement Analysis," Working Papers 2016-10, University of Miami, Department of Economics.
    16. Delis, Manthos D & Tsionas, Efthymios, 2009. "The joint estimation of bank-level market power and efficiency," MPRA Paper 14040, University Library of Munich, Germany.
    17. Pavlos Almanidis, 2013. "Accounting for heterogeneous technologies in the banking industry: a time-varying stochastic frontier model with threshold effects," Journal of Productivity Analysis, Springer, vol. 39(2), pages 191-205, April.
    18. Behr, Andreas & Tente, Sebastian, 2008. "Stochastic frontier analysis by means of maximum likelihood and the method of moments," Discussion Paper Series 2: Banking and Financial Studies 2008,19, Deutsche Bundesbank.
    19. Hampf, Benjamin, 2015. "Estimating the materials balance condition: A stochastic frontier approach," Darmstadt Discussion Papers in Economics 226, Darmstadt University of Technology, Department of Law and Economics.
    20. Fadzlan Sufian, 2014. "Which Element Bank Total Factor Productivity Is More Representative: Technological Progress or Efficiency Change?," Vision, , vol. 18(1), pages 9-22, March.

  164. Subal C. Kumbhakar & Efthymios G. Tsionas, 2008. "Estimation of input‐oriented technical efficiency using a nonhomogeneous stochastic production frontier model," Agricultural Economics, International Association of Agricultural Economists, vol. 38(1), pages 99-108, January.

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    1. Alghalith, Moawia, 2010. "Preferences estimation without approximation," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1144-1146, December.
    2. Tsakiridis, Andreas & Mateo-Mantecón, Ingrid & O'Connor, Eamonn & Hynes, Stephen & O'Donoghue, Cathal, 2021. "Efficiency benchmarking of Irish and North Atlantic Spanish ports: Implications for blue growth," Utilities Policy, Elsevier, vol. 72(C).
    3. Moawia, Alghalith, 2009. "Preferences estimation without approximation," MPRA Paper 19309, University Library of Munich, Germany.
    4. Maria Martinez Cillero & Fiona Thorne & Michael Wallace & James Breen & Thia Hennessy, 2018. "The Effects of Direct Payments on Technical Efficiency of Irish Beef Farms: A Stochastic Frontier Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 669-687, September.
    5. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2022. "Efficiency Analysis with Stochastic Frontier Models Using Popular Statistical Softwares," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 129-171, Springer.
    6. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP092021, School of Economics, University of Queensland, Australia.
    7. Moawia Alghalith, 2006. "Joint production and price uncertainty: hypothesis tests," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 49(3), pages 265-274.
    8. Bokusheva, Raushan & Kumbhakar, Subal C., 2014. "A Distance Function Model with Good and Bad Outputs," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182765, European Association of Agricultural Economists.

  165. Caraveli, H. & Tsionas, E.G. & Darzentas, J., 2008. "EU Growth, Convergence and the Knowledge Economy: An Empirical Investigation," The Journal of Economic Asymmetries, Elsevier, vol. 5(2), pages 105-124.

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    1. Hadad Shahrazad, 2018. "The geographic distribution of Knowledge Economy (KE) within the European Union (EU)," Management & Marketing, Sciendo, vol. 13(3), pages 1089-1107, September.

  166. Konstantinos Angelopoulos & Apostolis Philippopoulos & Efthymios Tsionas, 2008. "Does public sector efficiency matter? Revisiting the relation between fiscal size and economic growth in a world sample," Public Choice, Springer, vol. 137(1), pages 245-278, October.
    See citations under working paper version above.
  167. Dimitris K. Christopoulos & Efthymios G. Tsionas, 2007. "Are Regional Incomes in the USA Converging? A Non-linear Perspective," Regional Studies, Taylor & Francis Journals, vol. 41(4), pages 525-530.

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    1. Tunali, Çiǧdem Börke & Yilanci, Veli, 2010. "Are per capita incomes of MENA countries converging or diverging?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4855-4862.
    2. Maria Jesus Herrerias & Vicente Orts, 2011. "The driving forces behind China’s growth," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 19(1), pages 79-124, January.
    3. Juan Carlos Cuestas & Carlyn Dobson, 2011. "Inflation persistence: Implication for a monetary union in the Caribbean," Working Papers 2011017, The University of Sheffield, Department of Economics.
    4. Nicky Rogge, 2019. "Regional productivity growth in the EU since 2000: something is better than nothing," Empirical Economics, Springer, vol. 56(2), pages 423-444, February.
    5. Alexiadis, Stilianos & Eleftheriou, Konstantinos, 2010. "The Morphology of Income Convergence in US States: New Evidence using an Error-Correction-Model," MPRA Paper 20096, University Library of Munich, Germany.
    6. Connaughton, John E. & Swartz, Caroline, 2015. "Changes in State PCPI Rankings," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 45(1).
    7. Juan Carlos Cuestas & Carlyn Ramlogan-Dobson, 2013. "Convergence of Inflationary Shocks: Evidence from the Caribbean," The World Economy, Wiley Blackwell, vol. 36(9), pages 1229-1243, September.
    8. John Ashton & Andros Gregoriou, 2012. "The Influence of Banking Centralisation on Depositors: Regional Heterogeneities in the Transmission of Monetary Policy," Working Papers 12005, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    9. Kris Ivanovski & Sefa Awaworyi Churchill & John Inekwe, 2020. "Convergence in Income Inequality Across Australian States and Territories," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 127-142, February.

  168. Subal Kumbhakar & Luis Orea & Ana Rodríguez-Álvarez & Efthymios Tsionas, 2007. "Do we estimate an input or an output distance function? An application of the mixture approach to European railways," Journal of Productivity Analysis, Springer, vol. 27(2), pages 87-100, April.

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    1. Daniel Solís & Boris E. Bravo‐Ureta & Ricardo E. Quiroga, 2009. "Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 202-219, February.
    2. Carolina Crispin-Fory & Ligia Alba Melo-Becerra & Diego Alexander Restrepo-Tobón & Diego Vásquez-Escobar, 2023. "Eficiencia y solidez financiera de las Instituciones prestadoras de Servicio de Salud (IPS) en Colombia," Borradores de Economia 1248, Banco de la Republica de Colombia.
    3. Haider Alzubaidi & Spiros Bougheas, 2012. "The Impact of the Global Financial Crisis on European Banking Efficiency," Discussion Papers 12/05, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    4. Marchetti, Dalmo & Wanke, Peter F., 2019. "Efficiency in rail transport: Evaluation of the main drivers through meta-analysis with resampling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 83-100.
    5. Sanzidur Rahman & Basanta Kumar Barmon, 2018. "Total Factor Energy Productivity and Efficiency Changes of the Gher (Prawn-Carp-Rice) Farming System in Bangladesh: A Stochastic Input Distance Function Approach," Energies, MDPI, vol. 11(12), pages 1-17, December.
    6. Latruffe, Laure & Bravo-Ureta, Boris E. & Moreira, Victor H. & Desjeux, Yann & Dupraz, Pierre, 2011. "Productivity and Subsidies in European Union Countries: An Analysis for Dairy Farms Using Input Distance Frontiers," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114396, European Association of Agricultural Economists.
    7. Asantewaa, Adwoa & Jamasb, Tooraj & Llorca, Manuel, 2020. "Electricity Sector Reform Performance in Sub-Saharan Africa: A Parametric Distance Function Approach," Working Papers 14-2020, Copenhagen Business School, Department of Economics.
    8. Mosheim, Roberto & Sickles, Robin C., 2020. "Spatial Effects of Nutrient Pollution on Drinking Water Production," Working Papers 20-002, Rice University, Department of Economics.
    9. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    10. Wang, Sun Ling & Newton, Doris J., 2015. "Productivity and Efficiency of U.S. Field Crop Farms: A Look at Farm Size and Operator’s Gender," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205344, Agricultural and Applied Economics Association.
    11. Régina D.C. Bonou-zin & Khalil Allali & Aziz Fadlaoui, 2019. "Environmental Efficiency of Organic and Conventional Cotton in Benin," Sustainability, MDPI, vol. 11(11), pages 1-17, May.
    12. Rahman, Sanzidur, 2008. "Whether crop diversification is a desired strategy for agricultural growth in Bangladesh," 82nd Annual Conference, March 31 - April 2, 2008, Royal Agricultural College, Cirencester, UK 36867, Agricultural Economics Society.
    13. Ogundari, Kolawole & Brümmer, Bernhard, 2010. "Estimating Technical Efficiency, Input substitution and complementary effects using Output Distance Function: A study of Cassava production in Nigeria," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 95773, African Association of Agricultural Economists (AAAE).
    14. Nguyen, Huy, 2015. "Crop diversification, economic performance and household behaviour Evidence from Vietnam," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204224, Agricultural Economics Society.
    15. Collier, Trevor & Johnson, Andrew L. & Ruggiero, John, 2011. "Technical efficiency estimation with multiple inputs and multiple outputs using regression analysis," European Journal of Operational Research, Elsevier, vol. 208(2), pages 153-160, January.
    16. Rahman, Sanzidur & Anik, Asif Reza, 2020. "Productivity and efficiency impact of climate change and agroecology on Bangladesh agriculture," Land Use Policy, Elsevier, vol. 94(C).
    17. Heike Wetzel, 2008. "Productivity Growth in European Railways: Technological Progress,Efficiency Change and Scale Effects," Working Paper Series in Economics 101, University of Lüneburg, Institute of Economics.
    18. Zdeňka Žáková Kroupová & Gabriela Trnková & Monika Roman, 2022. "Is Market Power or Efficiency behind Economic Performance? The Case of the Czech Food Processing Industry," Economies, MDPI, vol. 10(9), pages 1-22, September.
    19. Marchetti, Dalmo & Wanke, Peter, 2017. "Brazil's rail freight transport: Efficiency analysis using two-stage DEA and cluster-driven public policies," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 26-42.
    20. Rahman, Sanzidur & Kazal, Mohammad Mizanul Haque, 2015. "Whether crop diversification is energy efficient: An empirical analysis from Bangladesh," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 745-754.
    21. Inmaculada C. Álvarez & Luis Orea & Alan Wall, 2023. "Estimating the propagation of both reported and undocumented COVID-19 cases in Spain: a panel data frontier approximation of epidemiological models," Journal of Productivity Analysis, Springer, vol. 59(3), pages 259-279, June.
    22. Latruffe, Laure & Bravo-Ureta, Boris E. & Moreira, Victor H. & Desjeux, Yann & Dupraz, Pierre, 2012. "Productivity and Subsidies in the European Union: An Analysis for Dairy Farms Using Input Distance Frontiers," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126846, International Association of Agricultural Economists.
    23. Rahman, Sanzidur & Barmon, Basanta K., 2012. "Energy productivity and efficiency of the ‘gher’ (prawn-fish-rice) farming system in Bangladesh," Energy, Elsevier, vol. 43(1), pages 293-300.

  169. Kumbhakar, Subal C. & Park, Byeong U. & Simar, Leopold & Tsionas, Efthymios G., 2007. "Nonparametric stochastic frontiers: A local maximum likelihood approach," Journal of Econometrics, Elsevier, vol. 137(1), pages 1-27, March.

    Cited by:

    1. Keshvari, Abolfazl & Kuosmanen, Timo, 2013. "Stochastic non-convex envelopment of data: Applying isotonic regression to frontier estimation," European Journal of Operational Research, Elsevier, vol. 231(2), pages 481-491.
    2. Léopold Simar, 2007. "How to improve the performances of DEA/FDH estimators in the presence of noise?," Journal of Productivity Analysis, Springer, vol. 28(3), pages 183-201, December.
    3. Brissimis, Sophocles N. & Delis, Manthos D., 2011. "Bank-level estimates of market power," European Journal of Operational Research, Elsevier, vol. 212(3), pages 508-517, August.
    4. Abdelaati Daouia & Jean-Pierre Florens & Léopold Simar, 2020. "Robust frontier estimation from noisy data: a Tikhonov regularization approach," Post-Print hal-02573853, HAL.
    5. Eduardo Fé & Richard Hofler, 2013. "Count data stochastic frontier models, with an application to the patents–R&D relationship," Journal of Productivity Analysis, Springer, vol. 39(3), pages 271-284, June.
    6. Parmeter, Christopher F. & Simar, Léopold & Van Keilegom, Ingrid & Zelenyuk, Valentin, 2021. "Inference in the Nonparametric Stochastic Frontier Model," LIDAM Discussion Papers ISBA 2021029, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    7. Mark Andor & Frederik Hesse, 2014. "The StoNED age: the departure into a new era of efficiency analysis? A monte carlo comparison of StoNED and the “oldies” (SFA and DEA)," Journal of Productivity Analysis, Springer, vol. 41(1), pages 85-109, February.
    8. Delis, Manthos D & Iosifidi, Maria & Tsionas, Efthymios, 2012. "On the estimation of marginal cost," MPRA Paper 43514, University Library of Munich, Germany.
    9. Miao, Chenglin & Fang, Debin & Sun, Liyan & Luo, Qiaoling, 2017. "Natural resources utilization efficiency under the influence of green technological innovation," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 153-161.
    10. Latruffe, Laure & Nauges, Céline, 2010. "Technical efficiency and conversion to organic farming: the case of France," Working Papers 210393, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    11. Mark Andor & Frederik Hesse, "undated". "The StoNED age: The Departure Into a New Era of Efficiency Analysis? An MC study Comparing StoNED and the "Oldies" (SFA and DEA)," Working Papers 201285, Institute of Spatial and Housing Economics, Munster Universitary.
    12. Ferrara, Giancarlo & Bucci, Valeria & Campagna, Arianna, 2023. "Audit, presumptive taxation and efficiency: An integrated approach for tax compliance analysis," Economic Systems, Elsevier, vol. 47(3).
    13. Arne Henningsen & Matěj Bělín & Géraldine Henningsen, 2017. "New insights into the stochastic ray production frontier," IFRO Working Paper 2017/01, University of Copenhagen, Department of Food and Resource Economics.
    14. Hung-pin Lai, 2013. "Estimation of the threshold stochastic frontier model in the presence of an endogenous sample split variable," Journal of Productivity Analysis, Springer, vol. 40(2), pages 227-237, October.
    15. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    16. Yaguo Deng & Helena Veiga & Michael P. Wiper, 2019. "Efficiency evaluation of hotel chains: a Spanish case study," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 115-139, June.
    17. Caroline Khan & Mike G. Tsionas, 2021. "Constraints in models of production and cost via slack-based measures," Empirical Economics, Springer, vol. 61(6), pages 3347-3374, December.
    18. Léopold Simar & Valentin Zelenyuk, 2011. "Stochastic FDH/DEA estimators for frontier analysis," Journal of Productivity Analysis, Springer, vol. 36(1), pages 1-20, August.
    19. Kuosmanen, Timo & Johnson, Andrew, 2017. "Modeling joint production of multiple outputs in StoNED: Directional distance function approach," European Journal of Operational Research, Elsevier, vol. 262(2), pages 792-801.
    20. Deng, Yaguo & Lopes Moreira Da Veiga, María Helena & Wiper, Michael Peter, 2016. "Efficiency evaluation of Spanish hotel chains," DES - Working Papers. Statistics and Econometrics. WS 23897, Universidad Carlos III de Madrid. Departamento de Estadística.
    21. Xu Guo & Gao-Rong Li & Michael McAleer & Wing-Keung Wong, 2017. "Specification Testing of Production in a Stochastic Frontier Model," Tinbergen Institute Discussion Papers 17-097/III, Tinbergen Institute.
    22. Daniel J. Henderson, 2009. "A Non‐parametric Examination of Capital–Skill Complementarity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(4), pages 519-538, August.
    23. Fukuyama, Hirofumi & Matousek, Roman & Tzeremes, Nickolaos G., 2023. "Estimating the degree of firms’ input market power via data envelopment analysis: Evidence from the global biotechnology and pharmaceutical industry," European Journal of Operational Research, Elsevier, vol. 305(2), pages 946-960.
    24. Koetter, Michael & Poghosyan, Tigran, 2009. "The identification of technology regimes in banking: Implications for the market power-fragility nexus," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1413-1422, August.
    25. Girard, Stéphane & Guillou, Armelle & Stupfler, Gilles, 2013. "Frontier estimation with kernel regression on high order moments," Journal of Multivariate Analysis, Elsevier, vol. 116(C), pages 172-189.
    26. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2016. "Efficiency and environmental factors in the US electricity transmission industry," Energy Economics, Elsevier, vol. 55(C), pages 234-246.
    27. Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
    28. Subal Kumbhakar & Efthymios Tsionas, 2008. "Scale and efficiency measurement using a semiparametric stochastic frontier model: evidence from the U.S. commercial banks," Empirical Economics, Springer, vol. 34(3), pages 585-602, June.
    29. Kuosmanen, Timo, 2006. "Stochastic Nonparametric Envelopment of Data: Combining Virtues of SFA and DEA in a Unified Framework," Discussion Papers 11864, MTT Agrifood Research Finland.
    30. Christopher F. Parmeter & Hung-Jen Wang & Subal C. Kumbhakar, 2017. "Nonparametric estimation of the determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 47(3), pages 205-221, June.
    31. Tsionas, Euthimios G. & Mamatzakis, Emmanuel C., 2017. "Adjustment costs in the technical efficiency: An application to global banking," European Journal of Operational Research, Elsevier, vol. 256(2), pages 640-649.
    32. Assaf, A. George & Barros, Carlos & Sellers-Rubio, Ricardo, 2011. "Efficiency determinants in retail stores: a Bayesian framework," Omega, Elsevier, vol. 39(3), pages 283-292, June.
    33. Prakashan Veettil & Stijn Speelman & Guido Huylenbroeck, 2013. "Estimating the Impact of Water Pricing on Water Use Efficiency in Semi-arid Cropping System: An Application of Probabilistically Constrained Nonparametric Efficiency Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(1), pages 55-73, January.
    34. Vijesh Krishna & Prakashan Veettil, 2015. "Productivity and Efficiency Impacts of Zero Tillage Wheat in Northwest Indo-Gangetic Plains," Working Papers id:7716, eSocialSciences.
    35. Hazarika, Gautam & Khraiche, Maroula & Kutlu, Levent, 2023. "Gender Equity in Labor Market Opportunities and Aggregate Technical Efficiency: A Case of Equity Promoting Efficiency," IZA Discussion Papers 16096, Institute of Labor Economics (IZA).
    36. Ferrara, Giancarlo & Vidoli, Francesco & Canello, Jacopo & Campagna, Arianna, 2013. "Labour-use Efficiency in the Italian Machinery Industry: a Non-parametric Stochastic Frontier Perspective," MPRA Paper 94359, University Library of Munich, Germany.
    37. Martins-Filho, Carlos & Ziegelmann, Flávio Augusto & Torrent, Hudson da Silva, 2013. "Local Exponential Frontier Estimation," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 33(2), November.
    38. Tran, Kien C. & Tsionas, Mike G. & Prokhorov, Artem B., 2023. "Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1189-1199.
    39. Assaf, A. George & Tsionas, Mike & Kock, Florian & Josiassen, Alexander, 2021. "A Bayesian non-parametric stochastic frontier model," Annals of Tourism Research, Elsevier, vol. 87(C).
    40. Kelly D.T.Trinh & Valentin Zelenyuk, 2015. "Productivity Growth and Convergence: Revisiting Kumar and Russell (2002)," CEPA Working Papers Series WP112015, School of Economics, University of Queensland, Australia.
    41. Kneip, Alois & Simar, Léopold & Van Keilegom, Ingrid, 2015. "Frontier estimation in the presence of measurement error with unknown variance," Journal of Econometrics, Elsevier, vol. 184(2), pages 379-393.
    42. Byeong U. Park & Leopold Simar & Valentin Zelenyuk, 2008. "Local Likelihood Estimation of Truncated Regression and Its Partial Derivatives: Theory and Application," Discussion Papers 7, Kyiv School of Economics.
    43. Bellenger, Moriah J. & Herlihy, Alan T., 2010. "Performance-based environmental index weights: Are all metrics created equal?," Ecological Economics, Elsevier, vol. 69(5), pages 1043-1050, March.
    44. Schmidt, Rouven & Kneib, Thomas, 2023. "Multivariate distributional stochastic frontier models," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).
    45. Bouali Guesmi & Teresa Serra & Amr Radwan & José María Gil, 2018. "Efficiency of Egyptian organic agriculture: A local maximum likelihood approach," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 441-455, March.
    46. Valentin Zelenyuk & Valentyn Panchenko, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP022023, School of Economics, University of Queensland, Australia.
    47. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2020. "Exploring Hospital Efficiency within and between Italian Regions: New Empirical Evidence," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202024, University of Turin.
    48. Worthington, Andrew C. & Zelenyuk, Valentin, 2018. "Data envelopment analysis, truncated regression and double-bootstrap for panel data with application to Chinese bankingAuthor-Name: Du, Kai," European Journal of Operational Research, Elsevier, vol. 265(2), pages 748-764.
    49. Kortelainen, Mika, 2008. "Estimation of semiparametric stochastic frontiers under shape constraints with application to pollution generating technologies," MPRA Paper 9257, University Library of Munich, Germany.
    50. Marijn Verschelde & Michel Dumont & Glenn Rayp & Bruno Merlevede, 2015. "Semiparametric stochastic metafrontier efficiency of European manufacturing firms," Post-Print hal-01563023, HAL.
    51. Artem Prokhorov & Kien C. Tran & Mike G. Tsionas, 2021. "Estimation of semi- and nonparametric stochastic frontier models with endogenous regressors," Empirical Economics, Springer, vol. 60(6), pages 3043-3068, June.
    52. Zhou, Jianhua & Parmeter, Christopher F. & Kumbhakar, Subal C., 2020. "Nonparametric estimation of the determinants of inefficiency in the presence of firm heterogeneity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1142-1152.
    53. Valentin Zelenyuk & Zhichao Wang, 2023. "Random vs. Explained Inefficiency in Stochastic Frontier Analysis: The Case of Queensland Hospitals," CEPA Working Papers Series WP052023, School of Economics, University of Queensland, Australia.
    54. Kai Sun & Ruhul Salim, 2020. "A semiparametric stochastic input distance frontier model with application to the Indonesian banking industry," Journal of Productivity Analysis, Springer, vol. 54(2), pages 139-156, December.
    55. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    56. A. Hackethal & M. Koetter & O. Vins, 2012. "Do government owned banks trade market power for slack?," Applied Economics, Taylor & Francis Journals, vol. 44(33), pages 4275-4290, November.
    57. Leonie Selk & Charles Tillier & Orlando Marigliano, 2022. "Multivariate boundary regression models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(1), pages 400-426, March.
    58. Dong, Yingying & Lewbel, Arthur, 2011. "Nonparametric identification of a binary random factor in cross section data," Journal of Econometrics, Elsevier, vol. 163(2), pages 163-171, August.
    59. Hassouneh, Islam & Serra, Teresa & Goodwin, Barry K. & Gil, José M., 2012. "Non-parametric and parametric modeling of biodiesel, sunflower oil, and crude oil price relationships," Energy Economics, Elsevier, vol. 34(5), pages 1507-1513.
    60. William E. Griffiths & Gholamreza Hajargasht, 2015. "Welfare Consequences of Information Aggregation and Optimal Market Size," Department of Economics - Working Papers Series 1190, The University of Melbourne.
    61. Bouali Guesmi & Teresa Serra & Allen Featherstone, 2015. "Technical efficiency of Kansas arable crop farms: a local maximum likelihood approach," Agricultural Economics, International Association of Agricultural Economists, vol. 46(6), pages 703-713, November.
    62. George Halkos & Mike G. Tsionas, 2019. "Accounting for Heterogeneity in Environmental Performance Using Data Envelopment Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 1005-1025, October.
    63. Delnava, Haleh & Khosravi, Ali & El Haj Assad, Mamdouh, 2023. "Metafrontier frameworks for estimating solar power efficiency in the United States using stochastic nonparametric envelopment of data (StoNED)," Renewable Energy, Elsevier, vol. 213(C), pages 195-204.
    64. Mike Tsionas & Valentin Zelenyuk, 2021. "Goodness-of-fit in Optimizing Models of Production: A Generalization with a Bayesian Perspective," CEPA Working Papers Series WP182021, School of Economics, University of Queensland, Australia.
    65. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    66. Lopez Gomez, Daniel & Parmeter, Christopher F., 2020. "Smooth coefficient estimation of stochastic frontier models," Economics Letters, Elsevier, vol. 193(C).
    67. Christopher F. Parmeter & Valentin Zelenyuk, 2019. "Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis," Operations Research, INFORMS, vol. 67(6), pages 1628-1658, November.
    68. Giovanni Forchini & Raoul Theler, 2023. "Semi-parametric modelling of inefficiencies in stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 59(2), pages 135-152, April.
    69. Ahmed S & Sonia Pérez-F & Carlos Carleos A & Norberto C & Pablo Martínez C, 2018. "Inference in Stochastic Frontier Models Based on Asymmetry," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 4(4), pages 99-108, January.
    70. Yao, Feng & Wang, Taining & Tian, Jinjing & Kumbhakar, Subal C., 2018. "Estimation of a smooth coefficient zero-inefficiency panel stochastic frontier model: A semiparametric approach," Economics Letters, Elsevier, vol. 166(C), pages 25-30.
    71. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021. "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP082021, School of Economics, University of Queensland, Australia.
    72. Giancarlo Ferrara & Arianna Campagna & Vincenzo Atella, 2019. "Disentangling tax evasion from inefficiency in firms tax declaration: an integrated approach," CEIS Research Paper 468, Tor Vergata University, CEIS, revised 06 Sep 2019.
    73. Víctor Fernández-Blanco & Luis César Herrero & Juan Prieto-Rodríguez, 2013. "Performance of cultural heritage institutions," Chapters, in: Ilde Rizzo & Anna Mignosa (ed.), Handbook on the Economics of Cultural Heritage, chapter 24, pages i-i, Edward Elgar Publishing.
    74. Ray, Subhash C. & Das, Abhiman, 2010. "Distribution of cost and profit efficiency: Evidence from Indian banking," European Journal of Operational Research, Elsevier, vol. 201(1), pages 297-307, February.
    75. Kneip, A. & Simar, L. & Van Keilegom I., 2010. "Boundary estimation in the presence of measurement error with unknown variance," LIDAM Discussion Papers ISBA 2010046, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    76. Tran, Kien C. & Tsionas, Efthymios G., 2009. "Estimation of nonparametric inefficiency effects stochastic frontier models with an application to British manufacturing," Economic Modelling, Elsevier, vol. 26(5), pages 904-909, September.
    77. Baležentis, Tomas & Sun, Kai, 2020. "Measurement of technical inefficiency and total factor productivity growth: A semiparametric stochastic input distance frontier approach and the case of Lithuanian dairy farms," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1174-1188.
    78. Michel Dumont & Glenn Rayp & Marijn Verschelde & Bruno Merlevede, 2016. "The contribution of start-ups and young firms to industry-level efficiency growth," Post-Print hal-01562985, HAL.
    79. Delis, Manthos D. & Tran, Kien C. & Tsionas, Efthymios G., 2012. "Quantifying and explaining parameter heterogeneity in the capital regulation-bank risk nexus," Journal of Financial Stability, Elsevier, vol. 8(2), pages 57-68.
    80. Klein, Nadja & Herwartz, Helmut & Kneib, Thomas, 2020. "Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales," Journal of Econometrics, Elsevier, vol. 214(2), pages 513-539.
    81. Emmanuel Hagenimana & Song Lixin & Patrick Kandege, 2018. "Study of nonparametric estimation details of instant system availability average," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(2), pages 467-481, April.
    82. Tsionas, Mike, 2022. "Efficiency estimation using probabilistic regression trees with an application to Chilean manufacturing industries," International Journal of Production Economics, Elsevier, vol. 249(C).
    83. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "Smooth approximations to monotone concave functions in production analysis: An alternative to nonparametric concave least squares," European Journal of Operational Research, Elsevier, vol. 271(3), pages 797-807.
    84. Simar, Leopold & Wilson, Paul, 2015. "Statistical Approaches for Nonparametric Frontier Models: A Guided Tour," LIDAM Reprints ISBA 2015022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    85. Minegishi, Kota, 2013. "Explaining Production Heterogeneity By Contextual Environments: Two-Stage DEA Application to Technical Change Measurement," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150289, Agricultural and Applied Economics Association.
    86. Fan Zhang & Joshua Hall & Feng Yao, 2017. "Does Economic Freedom Affect The Production Frontier? A Semiparametric Approach With Panel Data," Working Papers 17-27, Department of Economics, West Virginia University.
    87. Song, Junmo & Oh, Dong-hyun & Kang, Jiwon, 2017. "Robust estimation in stochastic frontier models," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 243-267.
    88. Latruffe, Laure & Nauges, Celine, 2010. "Converting to organic farming in France: Is there a selection problem?," 120th Seminar, September 2-4, 2010, Chania, Crete 109386, European Association of Agricultural Economists.
    89. ferrara, giancarlo & campagna, arianna & bucci, valeria & atella, vincenzo, 2021. "Presumptive taxation and firms’ efficiency: an integrated approach for tax compliance analysis," MPRA Paper 111516, University Library of Munich, Germany.
    90. Christophe Chesneau & Salima El Kolei & Junke Kou & Fabien Navarro, 2019. "Nonparametric estimation in a regression model with additive and multiplicative noise," Papers 1906.07695, arXiv.org, revised Jun 2020.
    91. Tsionas, Mike G. & Polemis, Michael L., 2019. "On the estimation of total factor productivity: A novel Bayesian non-parametric approach," European Journal of Operational Research, Elsevier, vol. 277(3), pages 886-902.
    92. Valentin Zelenyuk, 2019. "Data Envelopment Analysis and Business Analytics: The Big Data Challenges and Some Solutions," CEPA Working Papers Series WP072019, School of Economics, University of Queensland, Australia.
    93. Xu Guo & Tao Wang & Lixing Zhu, 2016. "Model checking for parametric single-index models: a dimension reduction model-adaptive approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(5), pages 1013-1035, November.
    94. Preciado Arreola, José Luis & Johnson, Andrew L. & Chen, Xun C. & Morita, Hiroshi, 2020. "Estimating stochastic production frontiers: A one-stage multivariate semiparametric Bayesian concave regression method," European Journal of Operational Research, Elsevier, vol. 287(2), pages 699-711.
    95. Daouia, Abdelaati & Florens, Jean-Pierre & Simar, Léopold, 2018. "Robustified expected maximum production frontiers," TSE Working Papers 17-890, Toulouse School of Economics (TSE).
    96. Federico Belotti & Giancarlo Ferrara, 2019. "Imposing monotonicity in stochastic frontier models: an iterative nonlinear least squares procedure," CEIS Research Paper 462, Tor Vergata University, CEIS, revised 29 Jan 2021.
    97. Eduardo Fé, 2013. "Estimating production frontiers and efficiency when output is a discretely distributed economic bad," Journal of Productivity Analysis, Springer, vol. 39(3), pages 285-302, June.
    98. Sun, Kai & Kumbhakar, Subal C. & Tveterås, Ragnar, 2015. "Productivity and efficiency estimation: A semiparametric stochastic cost frontier approach," European Journal of Operational Research, Elsevier, vol. 245(1), pages 194-202.
    99. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2022. "Efficiency Analysis with Stochastic Frontier Models Using Popular Statistical Softwares," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 129-171, Springer.
    100. Tomasz Gerard Czekaj & Arne Henningsen, 2012. "Comparing Parametric and Nonparametric Regression Methods for Panel Data: the Optimal Size of Polish Crop Farms," IFRO Working Paper 2012/12, University of Copenhagen, Department of Food and Resource Economics.
    101. Anaya, Karim L. & Pollitt, Michael G., 2017. "Using stochastic frontier analysis to measure the impact of weather on the efficiency of electricity distribution businesses in developing economies," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1078-1094.
    102. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP092021, School of Economics, University of Queensland, Australia.
    103. Dongwei Su & Xingxing He, 2012. "Ownership structure, corporate governance and productive efficiency in China," Journal of Productivity Analysis, Springer, vol. 38(3), pages 303-318, December.
    104. Christopher F. Parmeter & Valentin Zelenyuk, 2016. "A Bridge Too Far? The State of the Art in Combining the Virtues of Stochastic Frontier Analysis and Data Envelopement Analysis," Working Papers 2016-10, University of Miami, Department of Economics.
    105. Guo, Xu & Li, Gao Rong & Wong, Wing Keung, 2014. "Specification Testing of Production Frontier Function in Stochastic Frontier Model," MPRA Paper 57999, University Library of Munich, Germany.
    106. Delis, Manthos D & Tsionas, Efthymios, 2009. "The joint estimation of bank-level market power and efficiency," MPRA Paper 14040, University Library of Munich, Germany.
    107. Pavlos Almanidis, 2013. "Accounting for heterogeneous technologies in the banking industry: a time-varying stochastic frontier model with threshold effects," Journal of Productivity Analysis, Springer, vol. 39(2), pages 191-205, April.
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    113. Guesmi, Bouali & Serra, Teresa & Radwan, Amr & Gil, José María, 2014. "Efficiency of Egyptian Organic Agriculture: a Local Maximum Likelihood Approach," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183023, European Association of Agricultural Economists.
    114. Bellio, Ruggero & Grassetti, Luca, 2011. "Semiparametric stochastic frontier models for clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 71-83, January.
    115. Timo Kuosmanen & Mika Kortelainen, 2012. "Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints," Journal of Productivity Analysis, Springer, vol. 38(1), pages 11-28, August.

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    Cited by:

    1. Graziella Bonanno & Domenico De Giovanni & Filippo Domma, 2015. "The “Wrong Skewness” Problem: A Re-Specification Of Stochastic Frontiers," Working Papers 201502, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    2. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    3. Gholamreza Hajargasht & William E. Griffiths, 2016. "Estimation and Testing of Stochastic Frontier Models using Variational Bayes," Department of Economics - Working Papers Series 2024, The University of Melbourne.
    4. William C. Horrace & Christopher F. Parmeter, 2018. "A Laplace stochastic frontier model," Econometric Reviews, Taylor & Francis Journals, vol. 37(3), pages 260-280, March.
    5. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    6. William C. Horrace & Yulong Wang, 2022. "Nonparametric tests of tail behavior in stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 537-562, April.
    7. Gholamreza Hajargasht, 2015. "Stochastic frontiers with a Rayleigh distribution," Journal of Productivity Analysis, Springer, vol. 44(2), pages 199-208, October.
    8. Shih-Tang Hwu & Tsu-Tan Fu & Wen-Jen Tsay, 2021. "Estimation and efficiency evaluation of stochastic frontier models with interval dependent variables," Journal of Productivity Analysis, Springer, vol. 56(1), pages 33-44, August.
    9. Carta, Alessandro & Steel, Mark F.J., 2012. "Modelling multi-output stochastic frontiers using copulas," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3757-3773.
    10. Sheriff, Glenn, 2009. "Implementing second-best environmental policy under adverse selection," Journal of Environmental Economics and Management, Elsevier, vol. 57(3), pages 253-268, May.
    11. Graziella Bonanno & Filippo Domma, 2022. "Analytical Derivations of New Specifications for Stochastic Frontiers with Applications," Mathematics, MDPI, vol. 10(20), pages 1-17, October.
    12. Meena Badade & T. V. Ramanathan, 2020. "Probabilistic frontier regression model for multinomial ordinal type output data," Journal of Productivity Analysis, Springer, vol. 53(3), pages 339-354, June.
    13. Yali Mu & Stephan von Cramon‐Taubadel, 2022. "Estimating dynamic market efficiency frontiers," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 633-653, September.
    14. Phill Wheat & Alexander D. Stead & William H. Greene, 2019. "Robust stochastic frontier analysis: a Student’s t-half normal model with application to highway maintenance costs in England," Journal of Productivity Analysis, Springer, vol. 51(1), pages 21-38, February.
    15. Kamil Makie{l}a & B{l}a.zej Mazur, 2020. "Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging," Papers 2003.07150, arXiv.org, revised Oct 2020.
    16. E. Fusco & R. Benedetti & F. Vidoli, 2023. "Stochastic frontier estimation through parametric modelling of quantile regression coefficients," Empirical Economics, Springer, vol. 64(2), pages 869-896, February.

  171. Efthymios Tsionas & Theodore Papadogonas, 2006. "Firm exit and technical inefficiency," Empirical Economics, Springer, vol. 31(2), pages 535-548, June.

    Cited by:

    1. Jim Sánchez González & Diego Restrepo Tobón & Andrés Ramírez Hassan, 2018. "Inefficiency and Bank Failures: A Joint Bayesian Estimationof a Stochastic Frontier Model and a Hazards Model," Documentos de Trabajo de Valor Público 16788, Universidad EAFIT.
    2. Dimara, Efthalia & Skuras, Dimitris & Tsekouras, Kostas & Tzelepis, Dimitris, 2008. "Productive efficiency and firm exit in the food sector," Food Policy, Elsevier, vol. 33(2), pages 185-196, April.
    3. Sauer, Johannes & Park, Timothy A. & Graversen, Jesper T., 2007. "Organic Farming In Denmark-Productivity, Technical Change And Market Exit," 47th Annual Conference, Weihenstephan, Germany, September 26-28, 2007 7618, German Association of Agricultural Economists (GEWISOLA).
    4. Sauer, Johannes & Graversen, Jesper T. & Park, Timothy A., 2006. "Breathtaking or Stagnating? - Productivity, Technical Change and Structural Dynamics in Danish Organic Farming," 2006 Annual meeting, July 23-26, Long Beach, CA 21481, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Sauer, Johannes & Park, Tim, 2009. "Organic farming in Scandinavia -- Productivity and market exit," Ecological Economics, Elsevier, vol. 68(8-9), pages 2243-2254, June.
    6. Pavlos Almanidis & Robin C. Sickles, 2016. "Banking Crises, Early Warning Models, and Efficiency," International Series in Operations Research & Management Science, in: Juan Aparicio & C. A. Knox Lovell & Jesus T. Pastor (ed.), Advances in Efficiency and Productivity, chapter 0, pages 331-364, Springer.
    7. Simone Pieralli & Silke Hüttel & Martin Odening, 2013. "A model of firm exit under inefficiency and uncertainty," EcoMod2013 5236, EcoMod.
    8. Pieralli, Simone & Hüttel, Silke & Odening, Martin, 2014. "Abandonment of milk production under uncertainty and inefficiency: The case of West German farms," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170236, Agricultural and Applied Economics Association.
    9. Kurt E. Schnier & Ronald G. Felthoven, 2013. "Production Efficiency and Exit in Rights-Based Fisheries," Land Economics, University of Wisconsin Press, vol. 89(3), pages 538-557.
    10. Roman Neyter & Oleg Nivievskyi, 2023. "Effect of subsidies on farms' exit decision," Agribusiness, John Wiley & Sons, Ltd., vol. 39(4), pages 941-959, October.
    11. Sanchez González, Jim & Restrepo-Tobón, Diego & Ramírez Hassan, Andrés, 2021. "Inefficiency and bank failure: A joint Bayesian estimation method of stochastic frontier and hazards models," Economic Modelling, Elsevier, vol. 95(C), pages 344-360.
    12. Juan Agar & William C. Horrace & Christopher F. Parmeter, 2022. "Overcapacity in Gulf of Mexico reef fish IFQ fisheries: 12 years after the adoption of IFQs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(2), pages 483-506, June.
    13. Subal Kumbhakar & Efthymios Tsionas & Timo Sipiläinen, 2009. "Joint estimation of technology choice and technical efficiency: an application to organic and conventional dairy farming," Journal of Productivity Analysis, Springer, vol. 31(3), pages 151-161, June.
    14. Kazukauskas, Andrius & Newman, Carol F. & Thorne, Fiona S., 2010. "Analysing the Effect of Decoupling on Agricultural Production: Evidence from Irish Dairy Farms using the Olley and Pakes Approach," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 59(03), pages 1-14, September.

  172. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676.

    Cited by:

    1. Feng, Guohua & Serletis, Apostolos, 2010. "Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 127-138, January.
    2. Belotti, Federico & Ilardi, Giuseppe, 2018. "Consistent inference in fixed-effects stochastic frontier models," Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.
    3. Lambarraa, Fatima & Stefanou, Spiro E. & Gil, Jose Maria, 2009. "The analysis of irreversibility, uncertainty and dynamic technical inefficiency on the investment decision in Spanish olive sector," 2009 Conference, August 16-22, 2009, Beijing, China 51397, International Association of Agricultural Economists.
    4. Iordanis Parikoglou & Grigorios Emvalomatis & Fiona Thorne, 2022. "Precision livestock agriculture and productive efficiency: The case of milk recording in Ireland," Agricultural Economics, International Association of Agricultural Economists, vol. 53(S1), pages 109-120, November.
    5. Tsionas, Mike G. & Kumbhakar, Subal C., 2021. "Stochastic frontier models with time-varying conditional variances," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1115-1132.
    6. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    7. Mike, Tsionas & Subal, Kumbhakar, 2011. "Firm-Heterogeneity, Persistent and Transient Technical Inefficiency," MPRA Paper 30737, University Library of Munich, Germany, revised 10 Apr 2011.
    8. Duygun, Meryem & Hao, Jiaqi & Isaksson, Anders & Sickles, Robin C., 2015. "World Productivity Growth: A Model Averaging Approach," Working Papers 15-011, Rice University, Department of Economics.
    9. Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2019. "Endogenous Dynamic Efficiency in the Intertemporal Optimization Models of Firm Behavior," MPRA Paper 97780, University Library of Munich, Germany.
    10. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    11. Lachaud, Michée A. & Bravo-Ureta, Boris E., 2022. "A Bayesian statistical analysis of return to agricultural R&D investment in Latin America: Implications for food security," Technology in Society, Elsevier, vol. 70(C).
    12. Mastromarco, Camilla & Simar, Léopold, 2021. "Latent heterogeneity to evaluate the effect of human capital on world technology frontier," LIDAM Reprints ISBA 2021009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    13. Karlaftis, Matthew G. & Tsamboulas, Dimitrios, 2012. "Efficiency measurement in public transport: Are findings specification sensitive?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 392-402.
    14. Deng, Yaguo & Lopes Moreira Da Veiga, María Helena & Wiper, Michael Peter, 2016. "Efficiency evaluation of Spanish hotel chains," DES - Working Papers. Statistics and Econometrics. WS 23897, Universidad Carlos III de Madrid. Departamento de Estadística.
    15. Assaf, A. George & Tsionas, Efthymios G., 2015. "Incorporating destination quality into the measurement of tourism performance: A Bayesian approach," Tourism Management, Elsevier, vol. 49(C), pages 58-71.
    16. Yan, Jia & Sun, Xinyu & Liu, John J., 2009. "Assessing container operator efficiency with heterogeneous and time-varying production frontiers," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 172-185, January.
    17. Ang, Frederic & Oude Lansink, Alfons, 2014. "Dynamic Profit Inefficiency: A DEA Application to Belgian Dairy Farms," Working Papers 165693, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    18. Baños-Pino, José F. & Boto-García, David & Zapico, Emma, 2021. "Persistence and dynamics in the efficiency of toll motorways: The Spanish case," Efficiency Series Papers 2021/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    19. Camilla Mastromarco & Léopold Simar, 2015. "Effect of FDI and Time on Catching Up: New Insights from a Conditional Nonparametric Frontier Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(5), pages 826-847, August.
    20. Tsionas, Efthymios & Assaf, A. George & Gillen, David & Mattila, Anna S., 2017. "Modeling technical and service efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 113-125.
    21. Junrong Liu & Robin C. Sickles & E. G. Tsionas, 2017. "Bayesian Treatments for Panel Data Stochastic Frontier Models with Time Varying Heterogeneity," Econometrics, MDPI, vol. 5(3), pages 1-21, July.
    22. A. George Assaf & Alexander Josiassen & Haemoon Oh, 2016. "Internationalization and hotel performance," Tourism Economics, , vol. 22(3), pages 572-592, June.
    23. Meryem Duygun & Levent Kutlu & Robin C. Sickles, 2016. "Measuring productivity and efficiency: a Kalman filter approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 155-167, December.
    24. Tsionas, Euthimios G. & Mamatzakis, Emmanuel C., 2017. "Adjustment costs in the technical efficiency: An application to global banking," European Journal of Operational Research, Elsevier, vol. 256(2), pages 640-649.
    25. Assaf, A. George & Barros, Carlos & Sellers-Rubio, Ricardo, 2011. "Efficiency determinants in retail stores: a Bayesian framework," Omega, Elsevier, vol. 39(3), pages 283-292, June.
    26. Liao, Hailin & Wang, Bin & Li, Baibing & Weyman-Jones, Tom, 2016. "ICT as a general-purpose technology: The productivity of ICT in the United States revisited," Information Economics and Policy, Elsevier, vol. 36(C), pages 10-25.
    27. Antony Andrews, 2021. "Persistence of Cost Inefficiency Among Schools: A Myth or Reality?," Economic Papers, The Economic Society of Australia, vol. 40(1), pages 73-77, March.
    28. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    29. Galán Camacho, Jorge Eduardo & Lopes Moreira Da Veiga, María Helena & Wiper, Michael Peter, 2013. "Bayesian analysis of dynamic effects in inefficiency : evidence from the Colombian banking sector," DES - Working Papers. Statistics and Econometrics. WS ws131918, Universidad Carlos III de Madrid. Departamento de Estadística.
    30. Tsionas, Efthymios G. & George Assaf, A., 2014. "Short-run and long-run performance of international tourism: Evidence from Bayesian dynamic models," Tourism Management, Elsevier, vol. 42(C), pages 22-36.
    31. Aivazian, Sergei & Afanasiev, Mikhail & Kudrov, Alexander, 2016. "Clustering methodology of the Russian Federation regions with account of sectoral structure of GRP," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 41, pages 24-46.
    32. Jorge E. Galán & Michael G. Pollitt, 2014. "Inefficiency persistence and heterogeneity in Colombian electricity distribution utilities," Working Papers EPRG 1403, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    33. Levent Kutlu, 2020. "Greenhouse Gas Emission Efficiencies of World Countries," IJERPH, MDPI, vol. 17(23), pages 1-11, November.
    34. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    35. Valentin Zelenyuk & Zhichao Wang, 2023. "Random vs. Explained Inefficiency in Stochastic Frontier Analysis: The Case of Queensland Hospitals," CEPA Working Papers Series WP052023, School of Economics, University of Queensland, Australia.
    36. William C. Horrace & Yulong Wang, 2022. "Nonparametric tests of tail behavior in stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 537-562, April.
    37. Jean Joseph Minviel & Timo Sipiläinen, 2021. "A dynamic stochastic frontier approach with persistent and transient inefficiency and unobserved heterogeneity," Agricultural Economics, International Association of Agricultural Economists, vol. 52(4), pages 575-589, July.
    38. Frederic Ang & Alfons Oude Lansink, 2018. "Decomposing dynamic profit inefficiency of Belgian dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 81-99.
    39. Tsionas, Mike G. & Chen, Zhongfei & Wanke, Peter, 2017. "A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 1-10.
    40. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2011. "TIs Globalization Driving Efficiency? A Threshold Stochastic Frontier Panel Data Modelling Approach," SERIES 0040, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Oct 2011.
    41. Kutlu, Levent, 2017. "A constrained state space approach for estimating firm efficiency," Economics Letters, Elsevier, vol. 152(C), pages 54-56.
    42. Arnab Bhattacharjee & Eduardo Castro & Chris Jensen-Butler, 2009. "Regional variation in productivity: a study of the Danish economy," Journal of Productivity Analysis, Springer, vol. 31(3), pages 195-212, June.
    43. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    44. Gardebroek, Cornelis & Oude Lansink, Alfons G.J.M., 2008. "Dynamic Microeconometric Approaches To Analysing Agricultural Policy," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6592, European Association of Agricultural Economists.
    45. Levent Kutlu & Shasha Liu & Robin C. Sickles, 2022. "Cost, Revenue, and Profit Function Estimates," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 16, pages 641-679, Springer.
    46. Jorge Galán & Helena Veiga & Michael Wiper, 2014. "Bayesian estimation of inefficiency heterogeneity in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 85-101, August.
    47. A. Peyrache & A. N. Rambaldi, 2017. "Incorporating temporal and country heterogeneity in growth accounting—an application to EU-KLEMS," Journal of Productivity Analysis, Springer, vol. 47(2), pages 143-166, April.
    48. Galán, Jorge E. & Pollitt, Michael G., 2014. "Inefficiency persistence and heterogeneity in Colombian electricity utilities," Energy Economics, Elsevier, vol. 46(C), pages 31-44.
    49. Assaf, A. George & Gillen, David & Barros, Carlos, 2012. "Performance assessment of UK airports: Evidence from a Bayesian dynamic frontier model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 603-615.
    50. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Estimation of Dynamic Stochastic Frontier Model using Likelihood-based Approaches," MPRA Paper 87830, University Library of Munich, Germany.
    51. Habtamu Alem, 2021. "The Role of Technical Efficiency Achieving Sustainable Development: A Dynamic Analysis of Norwegian Dairy Farms," Sustainability, MDPI, vol. 13(4), pages 1-11, February.
    52. Cardoso de Mendonça, Mário Jorge & Pereira, Amaro Olimpio & Medrano, Luis Alberto & Pessanha, José Francisco M., 2021. "Analysis of electric distribution utilities efficiency levels by stochastic frontier in Brazilian power sector," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    53. Tsionas, Mike G., 2021. "Optimal combinations of stochastic frontier and data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 294(2), pages 790-800.
    54. Duygun, Meryem & Kutlu, Levent & Sickles, Robin C., 2014. "Measuring Productivity and Efficiency: A Kalman," Working Papers 15-010, Rice University, Department of Economics.
    55. Vaclav Hausenblas & Jitka Lesanovska, 2018. "How Do Large Banking Groups Manage the Efficiency of Their Subsidiaries? Evidence from CEE," Working Papers 2018/13, Czech National Bank.
    56. Barros, Carlos Pestana & Wanke, Peter, 2014. "Banking efficiency in Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 54-65.
    57. Degl'Innocenti, Marta & Grant, Kevin & Šević, Aleksandar & Tzeremes, Nickolaos G., 2018. "Financial stability, competitiveness and banks' innovation capacity: Evidence from the Global Financial Crisis," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 35-46.
    58. Baños-Pino, José F. & Boto-García, David & Zapico, Emma, 2022. "Persistence and dynamics in the efficiency of toll motorways: The Spanish case," Economics of Transportation, Elsevier, vol. 31(C).
    59. Ioannis Skevas & Grigorios Emvalomatis & Bernhard Brümmer, 2018. "The effect of farm characteristics on the persistence of technical inefficiency: a case study in German dairy farming," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 3-25.
    60. Sheng-Kai Chang & Yi-Yi Chen & Hung-Jen Wang, 2012. "A Bayesian estimator for stochastic frontier models with errors in variables," Journal of Productivity Analysis, Springer, vol. 38(1), pages 1-9, August.
    61. Stefanou, Spiro E., 2009. "A Dynamic Characterization of Efficiency," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 10(1), pages 1-16.
    62. Jorge E. Galán & Yong Tan, 2024. "Green light for green credit? Evidence from its impact on bank efficiency," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 531-550, January.
    63. Jean Joseph Minviel & Timo Sipiläinen, 2018. "Dynamic stochastic analysis of the farm subsidy-efficiency link: evidence from France," Journal of Productivity Analysis, Springer, vol. 50(1), pages 41-54, October.
    64. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022. "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, vol. 62(3), pages 1345-1363, March.
    65. de Mendonça, Mário Jorge Cardoso & Pereira, Amaro Olimpio & Bellido, Marlon Max H. & Medrano, Luis Alberto & Pessanha, José Francisco Moreira, 2023. "Service quality performance indicators for electricity distribution in Brazil," Utilities Policy, Elsevier, vol. 80(C).
    66. Skevas, Ioannis, 2020. "Inference in the spatial autoregressive efficiency model with an application to Dutch dairy farms," European Journal of Operational Research, Elsevier, vol. 283(1), pages 356-364.
    67. Mastromarco Camilla & Laura Serlenga & Yongcheol Shin, 2013. "Globalisation and technological convergence in the EU," Journal of Productivity Analysis, Springer, vol. 40(1), pages 15-29, August.
    68. Assaf, A. George & Josiassen, Alexander & Ratchford, Brian T. & Barros, Carlos Pestana, 2012. "Internationalization and Performance of Retail Firms: A Bayesian Dynamic Model," Journal of Retailing, Elsevier, vol. 88(2), pages 191-205.
    69. Grigorios Emvalomatis, 2012. "Adjustment and unobserved heterogeneity in dynamic stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 37(1), pages 7-16, February.
    70. Galán, Jorge E. & Veiga, Helena & Wiper, Michael P., 2015. "Dynamic effects in inefficiency: Evidence from the Colombian banking sector," European Journal of Operational Research, Elsevier, vol. 240(2), pages 562-571.
    71. Guangjie Li, 2015. "A stochastic frontier model with structural breaks in efficiency and technology," Empirical Economics, Springer, vol. 49(1), pages 131-159, August.
    72. Huang, Yu-Fan & Luo, Sui & Wang, Hung-Jen, 2018. "Flexible panel stochastic frontier model with serially correlated errors," Economics Letters, Elsevier, vol. 163(C), pages 55-58.
    73. Kamil Makie{l}a & B{l}a.zej Mazur, 2020. "Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging," Papers 2003.07150, arXiv.org, revised Oct 2020.
    74. A. Peyrache & A. N. Rambaldi, 2012. "A State-Space Stochastic Frontier Panel Data Model," CEPA Working Papers Series WP012012, School of Economics, University of Queensland, Australia.
    75. Mike G. Tsionas & Subal C. Kumbhakar, 2023. "Productivity and Performance: A GMM approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 331-344, April.
    76. Lambarraa, Fatima, 2011. "Dynamic Efficiency Analysis of Spanish Outdoor and Greenhouse Horticulture Sector," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114408, European Association of Agricultural Economists.
    77. Matousek, Roman & Rughoo, Aarti & Sarantis, Nicholas & George Assaf, A., 2015. "Bank performance and convergence during the financial crisis: Evidence from the ‘old’ European Union and Eurozone," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 208-216.
    78. Lambarraa, Fatima, 2012. "The Spanish Horticulture Sector: A dynamic efficiency analysis of Outdoor and Greenhouse farms," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126797, International Association of Agricultural Economists.
    79. Galán, Jorge & Ramos, Sofía B. & Veiga, Helena, 2015. "An analysis of the dynamics of efficiency of mutual funds," DES - Working Papers. Statistics and Econometrics. WS ws1517, Universidad Carlos III de Madrid. Departamento de Estadística.
    80. Skevas, Ioannis & Emvalomatis, Grigorios & Brümmer, Bernhard, 2018. "Productivity growth measurement and decomposition under a dynamic inefficiency specification: The case of German dairy farms," European Journal of Operational Research, Elsevier, vol. 271(1), pages 250-261.

  173. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2006. "Estimation of stochastic frontier production functions with input-oriented technical efficiency," Journal of Econometrics, Elsevier, vol. 133(1), pages 71-96, July.

    Cited by:

    1. Boyd, Gale A. & Lee, Jonathan M., 2019. "Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis," Energy Economics, Elsevier, vol. 81(C), pages 159-174.
    2. Mike Tsionas & Mikael A. Martins & Almas Heshmati, 2023. "Effects of the vaccination and public support on covid-19 cases and number of deaths in Sweden," Operational Research, Springer, vol. 23(3), pages 1-28, September.
    3. Wisdom Akpalu & Richard Vogel & Xu Zhang, 2012. "The Rate Of Time Preference, Seat Location Choice And Student Performance In The Classroom," New York Economic Review, New York State Economics Association (NYSEA), vol. 43(1), pages 33-45.
    4. Michaelides, Panayotis G. & Vouldis, Angelos T. & Tsionas, Efthymios G., 2010. "Globally flexible functional forms: The neural distance function," European Journal of Operational Research, Elsevier, vol. 206(2), pages 456-469, October.
    5. Swain, B.B., 2016. "Does Technological Linkage in Contract Farming Increase Farm Productivity and Efficiency? The Case of Hybrid Paddy Seed Cultivation in Undivided Andhra Pradesh," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 29(2).
    6. Yang Yu & Edward C. Jaenicke, 2020. "Estimating Food Waste as Household Production Inefficiency," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 525-547, March.
    7. Assaf, A. George & Barros, Carlos & Sellers-Rubio, Ricardo, 2011. "Efficiency determinants in retail stores: a Bayesian framework," Omega, Elsevier, vol. 39(3), pages 283-292, June.
    8. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    9. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "A novel model of costly technical efficiency," European Journal of Operational Research, Elsevier, vol. 268(2), pages 653-664.
    10. Bhaumik, Sumon Kumar & Gangopadhyay, Shubhashis & Krishnan, Shagun, 2007. "Entry, reforms, complementarity and performance: A tale of two Indian manufacturing sectors," Economic Systems, Elsevier, vol. 31(4), pages 375-390, December.
    11. Vouldis, Angelos T. & Michaelides, Panayotis G. & Tsionas, Efthymios G., 2010. "Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML," Economic Modelling, Elsevier, vol. 27(3), pages 697-704, May.
    12. Thomas Graaff, 2020. "On the estimation of spatial stochastic frontier models: an alternative skew-normal approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 267-285, April.
    13. Tsionas, Efthymios G., 2012. "Maximum likelihood estimation of stochastic frontier models by the Fourier transform," Journal of Econometrics, Elsevier, vol. 170(1), pages 234-248.
    14. Singh, Dhiraj K., 2020. "Technical efficiency of dairy farmers in Bihar, India: status and determinants," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 33(1), June.
    15. Kumbhakar, Subal C. & Tsionas, Mike G., 2021. "Dissections of input and output efficiency: A generalized stochastic frontier model," International Journal of Production Economics, Elsevier, vol. 232(C).
    16. Tran, Carolyn D.T.T. & Battese, George E. & Villano, Renato A., 2020. "Administrative capacity assessment in higher education: The case of universities in Vietnam," International Journal of Educational Development, Elsevier, vol. 77(C).
    17. Bhaumik, Sumon K. & Kumbhakar, Subal C., 2008. "Impact of Reforms on Plant-Level Productivity and Technical Efficiency: Evidence from the Indian Manufacturing Sector," IZA Discussion Papers 3347, Institute of Labor Economics (IZA).
    18. Bhaumik, Sumon Kumar & Kumbhakar, Subal C., 2010. "Is the post-reform growth of the Indian manufacturing sector efficiency driven? Empirical evidence from plant-level data," Journal of Asian Economics, Elsevier, vol. 21(2), pages 219-232, April.
    19. Susan F. Lu & Gerard J. Wedig, 2013. "Clustering, Agency Costs and Operating Efficiency: Evidence from Nursing Home Chains," Management Science, INFORMS, vol. 59(3), pages 677-694, May.
    20. Ipatova, Irina & Peresetsky, Аnatoly, 2013. "Technical efficiency of Russian plastic and rubber production firms," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 32(4), pages 71-92.
    21. Travis A. Smith & Craig E. Landry, 2021. "Household Food Waste and Inefficiencies in Food Production," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 4-21, January.

  174. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2005. "Measuring technical and allocative inefficiency in the translog cost system: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 126(2), pages 355-384, June.

    Cited by:

    1. Oum, Tae H. & Yan, Jia & Yu, Chunyan, 2008. "Ownership forms matter for airport efficiency: A stochastic frontier investigation of worldwide airports," Journal of Urban Economics, Elsevier, vol. 64(2), pages 422-435, September.
    2. Amsler, Christine & Artem, Prokhorov & Peter, Schmidt, 2015. "Endogeneity in Stochastic Frontier Models," Working Papers 2015-01, University of Sydney Business School, Discipline of Business Analytics.
    3. Juan José Díaz-Hernández, "undated". "Exact Allocative and Technical Inefficiency Using the Normalized Quadratic Cost System," Studies on the Spanish Economy 210, FEDEA.
    4. Tsionas, Efthymios G. & Assaf, A. George & Matousek, Roman, 2015. "Dynamic technical and allocative efficiencies in European banking," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 130-139.
    5. Shabbir Ahmad & Sriram Shankar & John Steen & Martie-Louise Verreynne & Abid Aman Burki, 2018. "What Drives Smallholders' Productivity in Pakistan's Horticultural Sector?," Discussion Papers Series 597, School of Economics, University of Queensland, Australia.
    6. Martin, Juan Carlos & Voltes-Dorta, Augusto, 2007. "Marginal Cost Estimations In Airports. Multiproductive Cost Functions And Stochastic Frontiers: An International Airports Case Study," 48th Annual Transportation Research Forum, Boston, Massachusetts, March 15-17, 2007 207931, Transportation Research Forum.
    7. Pede, Valerien O. & McKinley, Justin & Singbo, Alphonse & Kajisa, Kei, 2015. "Spatial Dependency of Technical Efficiency in Rice Farming: The Case of Bohol, Philippines," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205456, Agricultural and Applied Economics Association.
    8. Sophocles N. Brissimis & Matthaios D. Delis & Efthymios G. Tsionas, 2006. "Technical and Allocative Efficiency in European Banking," Working Papers 46, Bank of Greece.
    9. Tsionas, Mike G., 2016. "Parameters measuring bank risk and their estimation," European Journal of Operational Research, Elsevier, vol. 250(1), pages 291-304.
    10. Patricia Tecles & Benjamin M. Tabak, 2010. "Determinants of Bank Efficiency: the Case of Brazil," Working Papers Series 210, Central Bank of Brazil, Research Department.
    11. Tung Liu, 2020. "Measuring Technical, Allocative inefficiency, and Cost Inefficiency by Applying Duality Theory," Working Papers 202001, Ball State University, Department of Economics, revised Jun 2020.
    12. Yan, Jia & Sun, Xinyu & Liu, John J., 2009. "Assessing container operator efficiency with heterogeneous and time-varying production frontiers," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 172-185, January.
    13. Tsionas, Mike G., 2017. "The profit function system with output- and input-specific technical efficiency," Economics Letters, Elsevier, vol. 151(C), pages 111-114.
    14. Kumbhakar, Subal C. & Parmeter, Christopher F. & Tsionas, Efthymios G., 2013. "A zero inefficiency stochastic frontier model," Journal of Econometrics, Elsevier, vol. 172(1), pages 66-76.
    15. Liu, Tung, 2021. "Measuring cost inefficiency: A dual approach," Economic Modelling, Elsevier, vol. 99(C).
    16. Efthymios G. Tsionas & Kien C. Tran, 2016. "On the Joint Estimation of Heterogeneous Technologies, Technical, and Allocative Inefficiency," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 871-893, May.
    17. Jean-Philippe Boussemart & Herv頌eleu & Vivian Valdmanis, 2015. "A two-stage translog marginal cost pricing approach for Floridian hospital outputs," Applied Economics, Taylor & Francis Journals, vol. 47(38), pages 4116-4127, August.
    18. Assaf, A. George & Tsionas, Mike & Kock, Florian & Josiassen, Alexander, 2021. "A Bayesian non-parametric stochastic frontier model," Annals of Tourism Research, Elsevier, vol. 87(C).
    19. Jun Cai & William C. Horrace & Christopher F. Parmeter, 2021. "Density deconvolution with Laplace errors and unknown variance," Journal of Productivity Analysis, Springer, vol. 56(2), pages 103-113, December.
    20. Fabrizio Erbetta & Carmelo Petraglia, 2011. "Drivers of Regional Efficiency Differentials in Italy: Technical Inefficiency or Allocative Distortions?," Growth and Change, Wiley Blackwell, vol. 42(3), pages 351-375, September.
    21. J. Griffin, 2011. "Bayesian clustering of distributions in stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 36(3), pages 275-283, December.
    22. Louri, Helen & Peppas, Costas & Tsionas, Efthymios, 2006. "Foreign presence, technical efficiency and firm survival in Greece: a simultaneous equation model with latent variables approach," MPRA Paper 29274, University Library of Munich, Germany.
    23. Ahmad, Shabbir & Shankar, Sriram & Steen, John & Verreynne, Martie-Louise & Burki, Abid Aman, 2021. "Using measures of efficiency for regionally-targeted smallholder policy intervention: The case of Pakistan’s horticulture sector," Land Use Policy, Elsevier, vol. 101(C).
    24. Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2006. "Allocative efficiency measurement revisited: do we really need input prices?," Freiberg Working Papers 2006/04, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
    25. Kumbhakar, Subal C. & Wang, Hung-Jen, 2006. "Estimation of technical and allocative inefficiency: A primal system approach," Journal of Econometrics, Elsevier, vol. 134(2), pages 419-440, October.
    26. José Luis Gallizo & Jordi Moreno & Manuel Salvador, 2015. "European banking integration: is foreign ownership affecting banking efficiency?," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(2), pages 340-368, April.
    27. Jim Griffin & Mark Steel, 2005. "Bayesian Stochastic Frontier Analysis Using WinBUGS," Econometrics 0509004, University Library of Munich, Germany.
    28. Marta Arbelo-Pérez & Pilar Pérez-Gómez & Antonio Arbelo, 2023. "Profit efficiency and its determinants in the agricultural sector: A Bayesian approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(11), pages 436-445.
    29. Jean-Philippe Boussemart & Hervé Leleu & Viviane Valdmanis, 2013. "Price of Medicaid and Uncompensated Care compared to Medicare and Private care: A translog shadow pricing approach for Floridian hospital outputs," Working Papers 2013-ECO-02, IESEG School of Management.
    30. Alexandra Schmidt & Ajax Moreira & Steven Helfand & Thais Fonseca, 2009. "Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 31(2), pages 101-112, April.
    31. Yongseung Han, 2012. "Modelling a stochastic profit system using gauge function," Applied Economics Letters, Taylor & Francis Journals, vol. 19(9), pages 823-827, June.
    32. Khiabani, Nasser & Hasani, Karim, 2010. "Technical and allocative inefficiencies and factor elasticities of substitution: An analysis of energy waste in Iran's manufacturing," Energy Economics, Elsevier, vol. 32(5), pages 1182-1190, September.
    33. Abdessalem Abassi & Lota Dabio Tamini, 2016. "Trade performance and potential of North African countries: An application of a stochastic frontier gravity model," Cahiers de recherche CREATE 2016-4, CREATE.
    34. Goto, Mika & Makhija, Anil K., 2007. "The Impact of Competition and Corporate Structure on Productive Efficiency: The Case of the U.S. Electric Utility Industry, 1990-2004," Working Paper Series 2007-10, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    35. Kutlu, Levent, 2013. "Misspecification in allocative inefficiency: A simulation study," Economics Letters, Elsevier, vol. 118(1), pages 151-154.
    36. Mamatzakis, Emmanuel & Tsionas, Mike G. & Kumbhakar, Subal C. & Koutsomanoli-Filippaki, Anastasia, 2015. "Does labour regulation affect technical and allocative efficiency? Evidence from the banking industry," Journal of Banking & Finance, Elsevier, vol. 61(S1), pages 84-98.
    37. Martín, Juan Carlos & Voltes-Dorta, Augusto, 2011. "The econometric estimation of airports' cost function," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 112-127, January.
    38. Delis, Manthos D & Koutsomanoli-Filippaki, Anastasia & Staikouras, Christos & Gerogiannaki, Katerina, 2008. "Evaluating cost and profit efficiency: a comparison of parametric and nonparametric methodologies," MPRA Paper 14039, University Library of Munich, Germany.
    39. Di­az-Hernández, Juan José & Marti­nez-Budri­a, Eduardo & Jara-Di­az, Sergio, 2008. "The effects of ignoring inefficiency in the analysis of production: The case of cargo handling in Spanish ports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 321-329, February.
    40. José L. Gallizo & Jordi Moreno & Manuel Salvador, 2016. "Banking Efficiency in the Enlarged European Union: Financial Crisis and Convergence," International Finance, Wiley Blackwell, vol. 19(1), pages 66-88, April.
    41. Vouldis, Angelos T. & Michaelides, Panayotis G. & Tsionas, Efthymios G., 2010. "Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML," Economic Modelling, Elsevier, vol. 27(3), pages 697-704, May.
    42. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    43. Yan, Jia & Oum, Tae Hoon, 2014. "The effect of government corruption on the efficiency of US commercial airports," Journal of Urban Economics, Elsevier, vol. 80(C), pages 119-132.
    44. Lachaud, Michee & Bravo-Ureta, Boris & Ludena, Carlos, 2015. "Agricultural Productivity Growth in Latin America and the Caribbean (LAC): An analysis of Climatic Effects, Convergence, and Catch-up," 2015 Conference, August 9-14, 2015, Milan, Italy 211721, International Association of Agricultural Economists.
    45. Huynh, Linh & Hoang, Hien, 2021. "Technical Efficiency and Total Factor Productivity Changes in Manufacturing Industries: Recent Advancements in Stochastic Frontier Model Approach," MPRA Paper 117621, University Library of Munich, Germany, revised 2022.
    46. Assaf, A. George & Gillen, David & Tsionas, Efthymios G., 2014. "Understanding relative efficiency among airports: A general dynamic model for distinguishing technical and allocative efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 18-34.
    47. Kamel Helali & Maha Kalai, 2015. "Technical Efficiency Determinants Of The Tunisian Manufacturing Industry: Stochastic Production Frontiers Estimates On Panel Data," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 40(2), pages 105-130, June.
    48. El Moussawi, Chawki & Mansour, Rana, 2022. "Competition, cost efficiency and stability of banks in the MENA region," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 143-170.
    49. Piacenza, Massimiliano & Turati, Gilberto & Vannoni, Davide, 2010. "Restructuring hospital industry to control public health care expenditure: The role of input substitutability," Economic Modelling, Elsevier, vol. 27(4), pages 881-890, July.
    50. Scott E. Atkinson & Mike G. Tsionas, 2018. "Shadow directional distance functions with bads: GMM estimation of optimal directions and efficiencies," Empirical Economics, Springer, vol. 54(1), pages 207-230, February.
    51. Meena Badade & T. V. Ramanathan, 2020. "Probabilistic frontier regression model for multinomial ordinal type output data," Journal of Productivity Analysis, Springer, vol. 53(3), pages 339-354, June.
    52. Tim Coelli & Gholamreza Hajargasht & C.A. Knox Lovell, 2008. "Econometric Estimation of an Input Distance Function in a System of Equations," CEPA Working Papers Series WP012008, School of Economics, University of Queensland, Australia.
    53. Lai, Hung-pin & Kumbhakar, Subal C., 2019. "Technical and allocative efficiency in a panel stochastic production frontier system model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 255-265.
    54. Martín, Juan Carlos & Rodríguez-Déniz, Héctor & Voltes-Dorta, Augusto, 2013. "Determinants of airport cost flexibility in a context of economic recession," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 57(C), pages 70-84.
    55. Lota D. Tamini & Bruno Larue & Gale West, 2012. "Technical and environmental efficiencies and best management practices in agriculture," Applied Economics, Taylor & Francis Journals, vol. 44(13), pages 1659-1672, May.
    56. Michael L. Polemis & Mike G. Tsionas, 2022. "Endogenous productivity: a new Bayesian perspective," Annals of Operations Research, Springer, vol. 318(1), pages 425-451, November.
    57. Sheng-Kai Chang & Yi-Yi Chen & Hung-Jen Wang, 2012. "A Bayesian estimator for stochastic frontier models with errors in variables," Journal of Productivity Analysis, Springer, vol. 38(1), pages 1-9, August.
    58. Tsionas, Efthymios G., 2012. "Maximum likelihood estimation of stochastic frontier models by the Fourier transform," Journal of Econometrics, Elsevier, vol. 170(1), pages 234-248.
    59. Voltes-Dorta, Augusto & Pagliari, Romano, 2012. "The impact of recession on airports' cost efficiency," Transport Policy, Elsevier, vol. 24(C), pages 211-222.
    60. Massimiliano Piacenza & Gilberto Turati & Davide Vannoni, 2007. "Hospital Industry Restructuring and Input Substitutability: Evidence from a Sample of Italian Hospitals," CERIS Working Paper 200703, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    61. Xiaoheng Zhang & Xiaohua Yu & Xu Tian & Xianhui Geng & Yingheng Zhou, 2019. "Farm size, inefficiency, and rice production cost in China," Journal of Productivity Analysis, Springer, vol. 52(1), pages 57-68, December.
    62. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2022. "Efficiency Analysis with Stochastic Frontier Models Using Popular Statistical Softwares," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 129-171, Springer.
    63. Shabbir Ahmad & Abid A. Burki, 2016. "Banking deregulation and allocative efficiency in Pakistan," Applied Economics, Taylor & Francis Journals, vol. 48(13), pages 1182-1196, March.
    64. Michael S. Rimler & Seongho Song & David T. Yi, 2010. "Estimating Production Efficiency in Men’s NCAA College Basketball: A Bayesian Approach," Journal of Sports Economics, , vol. 11(3), pages 287-315, June.
    65. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP092021, School of Economics, University of Queensland, Australia.
    66. Atkinson, Scott E. & Dorfman, Jeffrey H., 2006. "Chasing Absolute Cost and Profit Savings in a World of Relative Inefficiency," 2006 Annual meeting, July 23-26, Long Beach, CA 21058, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    67. Emmanuel Mamatzakis & Panagiotis Pegkas & Christos Staikouras, 2023. "Labour market regulations and efficiency in tourism industry," Tourism Economics, , vol. 29(4), pages 1032-1054, June.
    68. Antonio Arbelo & Marta Arbelo-Pérez & Pilar Pérez-Gómez, 2022. "Are SMEs less efficient? A Bayesian approach to addressing heterogeneity across firms," Small Business Economics, Springer, vol. 58(4), pages 1915-1929, April.
    69. Valerien O. Pede & Francisco J. Areal & Alphonse Singbo & Justin McKinley & Kei Kajisa, 2018. "Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 301-312, May.
    70. Kumbhakar, Subal C. & Parmeter, Christopher F. & Tsionas, Efthymios G., 2012. "Bayesian estimation approaches to first-price auctions," Journal of Econometrics, Elsevier, vol. 168(1), pages 47-59.

  175. Efthymios G. Tsionas, 2005. "Likelihood Evidence on the Asset Returns Puzzle," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 917-946.

    Cited by:

    1. Bakshi, Gurdip & Skoulakis, Georgios, 2010. "Do subjective expectations explain asset pricing puzzles?," Journal of Financial Economics, Elsevier, vol. 98(3), pages 462-477, December.
    2. Gurdip Bakshi, 2009. "Du subjectiv expectations explain asset pricing puzzles?," 2009 Meeting Papers 1234, Society for Economic Dynamics.
    3. Emi Nakamura & Jón Steinsson & Robert Barro & José Ursúa, 2013. "Crises and Recoveries in an Empirical Model of Consumption Disasters," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(3), pages 35-74, July.
    4. Assaf, A. George & Gillen, David & Tsionas, Efthymios G., 2014. "Understanding relative efficiency among airports: A general dynamic model for distinguishing technical and allocative efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 18-34.

  176. Dimitris K. Christopoulos & Efthymios G. Tsionas, 2005. "Productivity growth and inflation in Europe: Evidence from panel cointegration tests," Empirical Economics, Springer, vol. 30(1), pages 137-150, January.

    Cited by:

    1. Saten Kumar & Don J. Webber & Geoff Perry, 2009. "Real wages, inflation and labour productivity in Australia," Working Papers 0921, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    2. Chor Foon Tang, 2014. "The effect of real wages and inflation on labour productivity in Malaysia," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(3), pages 311-322, May.
    3. Grigorios Emvalomatis, 2017. "Is productivity diverging in the EU? Evidence from 11 Member States," Empirical Economics, Springer, vol. 53(3), pages 1171-1192, November.
    4. Nicolaas Groenewold & James E.H. Paterson, 2013. "Stock Prices and Exchange Rates in Australia: Are Commodity Prices the Missing Link?," Australian Economic Papers, Wiley Blackwell, vol. 52(3-4), pages 159-170, December.
    5. Ariyanto, Anto, 2017. "CRITICAL REVIEW : Inflasi dan Pertumbuhan Jangka Panjang : Sebuah Teori Baru Keynesian dan Bukti semiparametrik Lanjut," INA-Rxiv 5ydqg, Center for Open Science.
    6. Nagayasu, Jun, 2009. "Regional Inflation in China," MPRA Paper 24722, University Library of Munich, Germany.
    7. Chaido Dritsaki, 2016. "Real wages, inflation, and labor productivity: Evidences from Bulgaria and Romania," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 4(5), pages 24-36, October.

  177. Dimitris Christopoulos & John Loizides & Efthymios Tsionas, 2005. "The Abrams curve of government size and unemployment: evidence from panel data," Applied Economics, Taylor & Francis Journals, vol. 37(10), pages 1193-1199.

    Cited by:

    1. António Afonso & Huseyin Sen & Ayse Kaya, 2018. "Government Size, Unemployment, and Inflation Nexus in Eight Large Emerging Market Economies," Working Papers REM 2018/38, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    2. Westerlund, Joakim & Basher, Syed A., 2008. "Mixed signals among tests for panel cointegration," Economic Modelling, Elsevier, vol. 25(1), pages 128-136, January.
    3. Christoph A. Schaltegger & Benno Torgler, 2004. "Growth Effects of Public Expenditure on the State and Local Level: Evidence from a Sample of Rich Governments," CREMA Working Paper Series 2004-16, Center for Research in Economics, Management and the Arts (CREMA).
    4. Ahmet AYSU & Gökhan DÖKMEN, 2011. "An Investigation on the Relationship between Government Size and Unemployment Rate: Evidence from OECD Countries," Sosyoekonomi Journal, Sosyoekonomi Society, issue 16(16).
    5. Dear Mahnaz Rahmat & Khalil Saeidi, 2017. "The Effect of Government Development Expenditures on Unemployment Rate in the Provinces," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 71-77.
    6. Juan Cándido Gómez‐Gallego & María del Rocío Moreno‐Enguix & María Gómez‐Gallego, 2022. "The relation between the index of economic freedom and good governance with efficiency of the European Structural Funds," Papers in Regional Science, Wiley Blackwell, vol. 101(2), pages 327-349, April.
    7. Siyan Wang & Burton A. Abrams, 2011. "The Effect of Government Size on the Steady-State Unemployment Rate: A Dynamic Perspective," Working Papers 11-12, University of Delaware, Department of Economics.
    8. Horst Feldmann, 2010. "Government size and unemployment in developing countries," Applied Economics Letters, Taylor & Francis Journals, vol. 17(3), pages 289-292, February.
    9. Orkun ÇELIK & Elif ERER, 2021. "The Role of Gender in the Government Expenditure and Unemployment Nexus: An Investigation at Regional Level for Turkey," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 112-128, June.
    10. Siyan Wang & Burton A. Abrams, 2011. "Government Outlays, Economic Growth and Unemployment: A VAR Model," Working Papers 11-13, University of Delaware, Department of Economics.
    11. Burcu Yuruk & Hakan Acaroglu, 2021. "An Asymmetric Causality Analysis of the Relationship between Government Expenditure and Unemployment in Turkey," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 63(63), pages 93-110, June.
    12. Mahalia Jackman, 2014. "A Note on the Labor Market Effects of Remittances in Latin American and Caribbean Countries: Do Thresholds Exist?," The Developing Economies, Institute of Developing Economies, vol. 52(1), pages 52-67, March.

  178. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2005. "The Joint Measurement of Technical and Allocative Inefficiencies: An Application of Bayesian Inference in Nonlinear Random-Effects Models," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 736-747, September.

    Cited by:

    1. Alghalith, Moawia, 2008. "Recent applications of theory of the firm under uncertainty," European Journal of Operational Research, Elsevier, vol. 186(2), pages 443-450, April.
    2. Sophocles N. Brissimis & Matthaios D. Delis & Efthymios G. Tsionas, 2006. "Technical and Allocative Efficiency in European Banking," Working Papers 46, Bank of Greece.
    3. Michaelides, Panayotis G. & Vouldis, Angelos T. & Tsionas, Efthymios G., 2010. "Globally flexible functional forms: The neural distance function," European Journal of Operational Research, Elsevier, vol. 206(2), pages 456-469, October.
    4. Alghalith, Moawia, 2010. "Preferences estimation without approximation," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1144-1146, December.
    5. Tung Liu, 2020. "Measuring Technical, Allocative inefficiency, and Cost Inefficiency by Applying Duality Theory," Working Papers 202001, Ball State University, Department of Economics, revised Jun 2020.
    6. Liu, Tung, 2021. "Measuring cost inefficiency: A dual approach," Economic Modelling, Elsevier, vol. 99(C).
    7. Tsionas, Efthymios & Assaf, A. George & Gillen, David & Mattila, Anna S., 2017. "Modeling technical and service efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 113-125.
    8. Emmanuel Mamatzakis & Christos Triantopoulos, 2022. "Allocative and technical efficiency of social banks vis a vis conventional banks," Economics Bulletin, AccessEcon, vol. 42(4), pages 1817-1825.
    9. Scott E. Atkinson & Jeffrey H. Dorfman, 2009. "Feasible estimation of firm-specific allocative inefficiency through Bayesian numerical methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 675-697.
    10. Tsionas, Efthymios & Kumbhakar, Subal, 2006. "Estimation of Technical and Allocative Inefficiencies in a Cost System: An Exact Maximum Likelihood Approach," MPRA Paper 20173, University Library of Munich, Germany.
    11. Wang, Hung-Jen, 2006. "Stochastic frontier models," MPRA Paper 31079, University Library of Munich, Germany.
    12. Antonis Adam & Manthos Delis & Pantelis Kammas, 2011. "Public sector efficiency: leveling the playing field between OECD countries," Public Choice, Springer, vol. 146(1), pages 163-183, January.
    13. Mamatzakis, Emmanuel & Tsionas, Mike G. & Kumbhakar, Subal C. & Koutsomanoli-Filippaki, Anastasia, 2015. "Does labour regulation affect technical and allocative efficiency? Evidence from the banking industry," Journal of Banking & Finance, Elsevier, vol. 61(S1), pages 84-98.
    14. Moawia, Alghalith, 2009. "Preferences estimation without approximation," MPRA Paper 19309, University Library of Munich, Germany.
    15. Vouldis, Angelos T. & Michaelides, Panayotis G. & Tsionas, Efthymios G., 2010. "Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML," Economic Modelling, Elsevier, vol. 27(3), pages 697-704, May.
    16. Kris Knox & Eric Blankmeyer & J. Stutzman, 2007. "Technical efficiency in texas nursing facilities: A stochastic production frontier approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 31(1), pages 75-86, March.
    17. Lai, Hung-pin & Kumbhakar, Subal C., 2019. "Technical and allocative efficiency in a panel stochastic production frontier system model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 255-265.
    18. Michael L. Polemis & Mike G. Tsionas, 2022. "Endogenous productivity: a new Bayesian perspective," Annals of Operations Research, Springer, vol. 318(1), pages 425-451, November.
    19. Tsionas, Efthymios G., 2012. "Maximum likelihood estimation of stochastic frontier models by the Fourier transform," Journal of Econometrics, Elsevier, vol. 170(1), pages 234-248.
    20. Kumbhakar, Subal C. & Tsionas, Mike G., 2021. "Dissections of input and output efficiency: A generalized stochastic frontier model," International Journal of Production Economics, Elsevier, vol. 232(C).
    21. Atkinson, Scott E. & Dorfman, Jeffrey H., 2006. "Chasing Absolute Cost and Profit Savings in a World of Relative Inefficiency," 2006 Annual meeting, July 23-26, Long Beach, CA 21058, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    22. Moawia Alghalith, 2006. "Joint production and price uncertainty: hypothesis tests," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 49(3), pages 265-274.

  179. George C. Bitros & Efthymios G. Tsionas, 2004. "A Consistent Approach to Cost Efficiency Measurement," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(1), pages 49-69, February.
    See citations under working paper version above.
  180. Efthymios G. Tsionas & Dimitris K. Christopoulos, 2004. "Inflation, Shadow Prices and the EMU: Evidence From Greece," Bulletin of Economic Research, Wiley Blackwell, vol. 56(3), pages 251-269, July.

    Cited by:

    1. George Hondroyiannis & Sophia Lazaretou, 2004. "Inflation Persistence during Periods of Structural Change: An Assessment Using Greek Data," Working Papers 13, Bank of Greece.

  181. Dimitris K. Christopoulos & Efthymios G. Tsionas, 2004. "Convergence and regional productivity differences: Evidence from Greek prefectures," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 38(3), pages 387-396, September.

    Cited by:

    1. Annie Tubadji & Peter Nijkamp, 2015. "Cultural impact on regional development: application of a PLS-PM model to Greece," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 687-720, May.
    2. Tubadji, Annie & Nijkamp, Peter, 2016. "Impact of Intangible Cultural Capital on Regional Economic Development: A Study on Culture-Based Development in Greece," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 46(1).
    3. Prodromídis, Pródromos-Ioánnis K., 2017. "Analyzing local incomes in Greece by fitting space with an econometrics driven method," The Journal of Economic Asymmetries, Elsevier, vol. 15(C), pages 1-16.
    4. Sarantis Lolos, 2009. "The effect of EU structural funds on regional growth: assessing the evidence from Greece, 1990–2005," Economic Change and Restructuring, Springer, vol. 42(3), pages 211-228, August.
    5. Reinhold Kosfeld & Hans-Friedrich Eckey & Christian Dreger, 2006. "Regional productivity and income convergence in the unified Germany, 1992-2000," Regional Studies, Taylor & Francis Journals, vol. 40(7), pages 755-767.
    6. Michael Berlemann & Jan-Erik Wesselhöft, 2012. "Total Factor Productivity in German Regions," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 13(02), pages 58-65, July.
    7. George Petrakos & Panagiotis Artelaris, 2009. "European Regional Convergence Revisited: A Weighted Least Squares Approach," Growth and Change, Wiley Blackwell, vol. 40(2), pages 314-331, June.
    8. E D Balogun, 2010. "Alternative reconsideration of output growth differential for West African Monetary Zone," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the SARB/IFC seminar on "Economic and financial convergence en route to regional economic integration: experience, prospects and statis, volume 32, pages 106-120, Bank for International Settlements.
    9. Mertens, Matthias & Müller, Steffen, 2020. "The East-West German gap in revenue productivity: Just a tale of output prices?," IWH-CompNet Discussion Papers 2/2020, Halle Institute for Economic Research (IWH).
    10. Marie-Noelle Duquenne & Maria Tsiapa & Valantis Tsiakos, 2019. "Contribution of the Common Agricultural Policy to agricultural productivity of EU regions during 2004–2012 period," Review of Agricultural, Food and Environmental Studies, Springer, vol. 100(1), pages 47-68, December.
    11. Md. Qamruzzaman & Salma Karim, 2020. "ICT Investment Impact on Human Capital Development through the Channel of Financial Development in Bangladesh: An Investigation of Quantile ARDL and Toda-Yamamoto Test," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 9, September.
    12. Annie Tubadji & Vassilis Angelis & Peter Nijkamp, 2016. "Endogenous intangible resources and their place in the institutional hierarchy," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 36(1), pages 1-28, February.
    13. Angelos Liontakis & Christos T. Papadas & Irene Tzouramani, 2011. "Regional Economic Convergence in Greece: A Stochastic Dominance Approach," ERSA conference papers ersa10p1188, European Regional Science Association.
    14. Ryohei Nakamura, 2008. "Agglomeration Effects on Regional Economic Disparities: A Comparison between the UK and Japan," Urban Studies, Urban Studies Journal Limited, vol. 45(9), pages 1947-1971, August.
    15. Peng Wang & Cong Cen & Xiaoyan Lin, 2023. "Internet development and the spatial optimization of regional productivity: Evidence from China," Growth and Change, Wiley Blackwell, vol. 54(4), pages 912-939, December.
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    17. Panagiotis Liargovas & Georgios Fotopoulos, 2008. "Socioeconomic indicators for analyzing Convergence: the case of Greece: 1960-2004," Working Papers 0014, University of Peloponnese, Department of Economics.
    18. Bibhuti Sarker, 2023. "Foreign firms in the industry frontier and productivity convergence: Importance of proximity and firm attributes," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 906-925, March.
    19. Emiliano Giudici & André Mollick, 2008. "Convergence in the Eastern Caribbean States," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(4), pages 893-909, December.
    20. Benos, Nikos & Karagiannis, Stelios, 2016. "Do education quality and spillovers matter? Evidence on human capital and productivity in Greece," Economic Modelling, Elsevier, vol. 54(C), pages 563-573.
    21. Elias Giannakis & Theofanis P. Mamuneas, 2022. "Labour productivity and regional labour markets resilience in Europe," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(3), pages 691-712, June.
    22. Theodoros Arvanitopoulos & Vassilis Monastiriotis & Theodore Panagiotidis, 2021. "Drivers of convergence: The role of first- and second-nature geography," Urban Studies, Urban Studies Journal Limited, vol. 58(14), pages 2880-2900, November.
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    2. Bai, Xuejie & Jin, Zeng & Chiu, Yung-Ho, 2021. "Performance evaluation of China's railway passenger transportation sector," Research in Transportation Economics, Elsevier, vol. 90(C).
    3. Subal Kumbhakar & Luis Orea & Ana Rodríguez-Álvarez & Efthymios Tsionas, 2007. "Do we estimate an input or an output distance function? An application of the mixture approach to European railways," Journal of Productivity Analysis, Springer, vol. 27(2), pages 87-100, April.
    4. Heike Wetzel, 2008. "Productivity Growth in European Railways: Technological Progress,Efficiency Change and Scale Effects," Working Paper Series in Economics 101, University of Lüneburg, Institute of Economics.
    5. Tsionas, Efthymios G. & Baltas, Nicholas C. & Chionis, Dionysios P., 2011. "Rail infrastructure charging in Hellenic railways," Journal of Policy Modeling, Elsevier, vol. 33(3), pages 370-380, May.

  183. Christopoulos, Dimitris K. & Tsionas, Efthymios G., 2004. "Financial development and economic growth: evidence from panel unit root and cointegration tests," Journal of Development Economics, Elsevier, vol. 73(1), pages 55-74, February.

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    1. Ibrahim, Muazu & Alagidede, Paul, 2018. "Nonlinearities in financial development–economic growth nexus: Evidence from sub-Saharan Africa," Research in International Business and Finance, Elsevier, vol. 46(C), pages 95-104.
    2. Eric Alexander Sugandi, 2022. "Indonesia’s Financial Markets and Monetary Policy Dynamics Amid the COVID-19 Pandemic," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(3), pages 411-447, September.
    3. Cheng, Ka Ming & Durmaz, Nazif & Kim, Hyeongwoo & Stern, Michael L., 2012. "Hysteresis vs. natural rate of US unemployment," Economic Modelling, Elsevier, vol. 29(2), pages 428-434.
    4. Pradhan, Rudra P. & Arvin, Mak B. & Norman, Neville R., 2015. "Insurance development and the finance-growth nexus: Evidence from 34 OECD countries," Journal of Multinational Financial Management, Elsevier, vol. 31(C), pages 1-22.
    5. S. Nyasha & N. M. Odhiambo, 2016. "The Impact of Bank-Based and Market-Based Financial Development on Economic Growth: Time-Series Evidence From the United Kingdom," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 16(2), pages 389-410, June.
    6. Neil A. Wilmot & Ariuna Taivan, 2021. "Examining the Impact of Financial Development on Energy Production in Emerging Economies," JRFM, MDPI, vol. 14(2), pages 1-17, February.
    7. Norman Loayza & Amine Ouazad & Romain Ranciere, 2017. "Financial Development, Growth, and Crisis: Is There a Trade-Off?," Working Papers 114, Peruvian Economic Association.
    8. Kalantzis, Fotios & Niczyporuk, Hanna, 2021. "Can European businesses achieve productivity gains from investments in energy efficiency?," EIB Working Papers 2021/07, European Investment Bank (EIB).
    9. Muhammad Arshad Khan & Abdul Qayyum, 2006. "Trade Liberalisation, Financial Sector Reforms, and Growth," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 45(4), pages 711-731.
    10. Veronika Kajurová & Petr Rozmahel, 2016. "Stock Market Development and Economic Growth: Evidence from the European Union," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 64(6), pages 1927-1936.
    11. Ariuna Taivan, 2016. "The causality between financial development and economic growth: case of Asian economies," Economics Bulletin, AccessEcon, vol. 36(2), pages 1071-1082.
    12. Salvador Perez-Moreno, 2011. "Financial development and poverty in developing countries: a causal analysis," Empirical Economics, Springer, vol. 41(1), pages 57-80, August.
    13. Ayad Hicham, 2017. "Financial Development and Poverty Reduction Nexus: A Co-Integration and Causality Analysis in Selected Arabic Countries," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 3(2), pages 28-35, June.
    14. PINSHI, Christian P., 2020. "On the causal nature between financial development and economic growth in the Democratic Republic of the Congo: Is it supply leading or demand following?," MPRA Paper 101837, University Library of Munich, Germany, revised 14 Jul 2020.
    15. Ebru TOPCU Author- Workplace-Name: Nevsehir Haci Bektas Veli University, Department of Economics, Turkey, 2016. "Reexamining Finance-Growth Nexus: A New Literature Survey," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 5(Special I), pages 1-7, august.
    16. Lerohim, Siti Nor FarahEffera & Affandi, Salwani & W. Mahmood, Wan Mansor, 2014. "Financial Development and Economic Growth in ASEAN: Evidence from Panel Data," MPRA Paper 62224, University Library of Munich, Germany, revised 31 Dec 2014.
    17. Skikiewicz Robert & Garczarczyk Józef, 2018. "Cyclical Fluctuations in the Banking Services Market and the Changes in the Situation of Entities from the Financial Services Sector," Central European Economic Journal, Sciendo, vol. 5(52), pages 118-129, January.
    18. Nyasha, Sheilla & Odhiambo, Nicholas M., 2015. "Financial systems and economic growth: empirical evidence from Australia," Working Papers 18927, University of South Africa, Department of Economics.
    19. Christopher A. Hartwell, 2014. "Do (successful) stock exchanges support or hinder institutions in transition economies?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-18, December.
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    21. Halkos, George & Paizanos, Epameinondas, 2015. "Environmental Macroeconomics: A critical literature review and future empirical research directions," MPRA Paper 67432, University Library of Munich, Germany.
    22. Bangake, Chrysost & Eggoh, Jude C., 2011. "Further evidence on finance-growth causality: A panel data analysis," Economic Systems, Elsevier, vol. 35(2), pages 176-188, June.
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    43. Malebogo Bakwena & Philip Bodman & Sandy Suardi, "undated". "Making Abundant Natural Resources Work for Developing Economies: The Role of Financial Institutions," MRG Discussion Paper Series 2108, School of Economics, University of Queensland, Australia.
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    49. Islam, Md. Monirul & Irfan, Muhammad & Shahbaz, Muhammad & Vo, Xuan Vinh, 2022. "Renewable and non-renewable energy consumption in Bangladesh: The relative influencing profiles of economic factors, urbanization, physical infrastructure and institutional quality," Renewable Energy, Elsevier, vol. 184(C), pages 1130-1149.
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    51. Sadaf MAJEED* & Syed Faizan IFTIKHAR** & Zeeshan ATIQ***, 2019. "CREDIT ACTIVITY AND GROWTH PERFORMANCE: Evidence from Panel Data," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 29(1), pages 107-129.
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    354. Huaibing Yu, 2019. "Long-run Cointegration and Market Equilibrium in Large Cap Stocks," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 8(1), pages 1-2.
    355. Mehmet Zeki Ak & Mustafa Kirca & Mehmet Nurullah Altintaº, 2016. "The impacts of financial development on growth:A time-varying causality analysis for Turkey," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 34(2), pages 529-554.
    356. Chen, K.C. & Wu, Lifan & Wen, Jian, 2013. "The relationship between finance and growth in China," Global Finance Journal, Elsevier, vol. 24(1), pages 1-12.
    357. Polat, Ali & Shahbaz, Muhammad & Ur Rehman, Ijaz & Satti, Saqlain Latif, 2013. "Revisiting Linkages between Financial Development, Trade Openness and Economic Growth in South Africa: Fresh Evidence from Combined Cointegration Test," MPRA Paper 51724, University Library of Munich, Germany, revised 25 Nov 2013.
    358. Gnangnon, Sèna Kimm, 2019. "Financial Development and Tax Revenue in Developing Countries: Investigating the International Trade and Economic Growth Channels," EconStor Preprints 206628, ZBW - Leibniz Information Centre for Economics.
    359. Sinem Guler Kangalli Uyar & Umut Uyar, 2018. "Quantile Parameter Heterogeneity in the Finance-Growth Relation: The Case of OECD Countries," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(1), pages 92-112.

  184. G. Karagiannis & S. C. Kumbhakar & E. G. Tsionas, 2004. "A Distance Function Approach for Estimating Technical and Allocative Inefficiency," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 39(1), pages 19-30, January.

    Cited by:

    1. Tim Coelli & Gholamreza Hajargasht & C.A. Knox Lovell, 2008. "Econometric Estimation of an Input Distance Function in a System of Equations," CEPA Working Papers Series WP012008, School of Economics, University of Queensland, Australia.
    2. Li, Hongchang & Yu, Kemei & Wang, Kun & Zhang, Anming, 2019. "Market power and its determinants in the Chinese railway industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 261-276.

  185. Efthymios G. Tsionas & Subal C. Kumbhakar, 2004. "Markov switching stochastic frontier model," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 398-425, December.

    Cited by:

    1. Yélou, Clément & Larue, Bruno & Tran, Kien C., 2010. "Threshold effects in panel data stochastic frontier models of dairy production in Canada," Economic Modelling, Elsevier, vol. 27(3), pages 641-647, May.
    2. Iordanis Parikoglou & Grigorios Emvalomatis & Fiona Thorne, 2022. "Precision livestock agriculture and productive efficiency: The case of milk recording in Ireland," Agricultural Economics, International Association of Agricultural Economists, vol. 53(S1), pages 109-120, November.
    3. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    4. Hung-pin Lai, 2013. "Estimation of the threshold stochastic frontier model in the presence of an endogenous sample split variable," Journal of Productivity Analysis, Springer, vol. 40(2), pages 227-237, October.
    5. Xiangfei Xin & Yi Zhang & Jimin Wang & John Alexander Nuetah, 2016. "Effects of Farm Size on Technical Efficiency in China's Broiler Sector: A Stochastic Meta-Frontier Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(3), pages 493-516, September.
    6. Michaelides, Panayotis G. & Vouldis, Angelos T. & Tsionas, Efthymios G., 2010. "Globally flexible functional forms: The neural distance function," European Journal of Operational Research, Elsevier, vol. 206(2), pages 456-469, October.
    7. Mike G. Tsionas & Konstantinos N. Baltas, 2022. "On identifying risk-adjusted efficiency gains or losses of prospective mergers and acquisitions," Annals of Operations Research, Springer, vol. 318(1), pages 619-683, November.
    8. Drake, Leigh & Hall, Maximilian J.B. & Simper, Richard, 2009. "Bank modelling methodologies: A comparative non-parametric analysis of efficiency in the Japanese banking sector," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 1-15, February.
    9. Aivazian, Sergei & Afanasiev, Mikhail & Kudrov, Alexander, 2016. "Clustering methodology of the Russian Federation regions with account of sectoral structure of GRP," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 41, pages 24-46.
    10. Lu, Zeng-Hua, 2009. "Covariate selection in mixture models with the censored response variable," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2710-2723, May.
    11. Drivas, Kyriakos & Economidou, Claire & Tsionas, Efthymios G., 2014. "A Poisson Stochastic Frontier Model with Finite Mixture Structure," MPRA Paper 57485, University Library of Munich, Germany.
    12. Fabrice Murtin, 2007. "The Structural Change and the Endogeneity Bias of the College Premium in the United States 1968-2001"," Working Papers 2007-14, Center for Research in Economics and Statistics.
    13. Walheer, Barnabé, 2023. "Meta-frontier and technology switchers: A nonparametric approach," European Journal of Operational Research, Elsevier, vol. 305(1), pages 463-474.
    14. Vouldis, Angelos T. & Michaelides, Panayotis G. & Tsionas, Efthymios G., 2010. "Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML," Economic Modelling, Elsevier, vol. 27(3), pages 697-704, May.
    15. Bos, J.W.B. & Economidou, C. & Koetter, M., 2010. "Technology clubs, R&D and growth patterns: Evidence from EU manufacturing," European Economic Review, Elsevier, vol. 54(1), pages 60-79, January.
    16. Efthymios G. Tsionas & Kien C. Tran & Panayotis G. Michaelides, 2019. "Bayesian inference in threshold stochastic frontier models," Empirical Economics, Springer, vol. 56(2), pages 399-422, February.
    17. Guanchun Liu & Shichang Ma & Chien‐Chiang Lee & Ming Xu, 2020. "Growth decomposition bias when accounting for heterogeneous regimes: Evidence from China," Review of Development Economics, Wiley Blackwell, vol. 24(2), pages 691-711, May.
    18. Guangjie Li, 2015. "A stochastic frontier model with structural breaks in efficiency and technology," Empirical Economics, Springer, vol. 49(1), pages 131-159, August.
    19. Bos, J.W.B. & Economidou, C. & Koetter, M. & Kolari, J.W., 2010. "Do all countries grow alike?," Journal of Development Economics, Elsevier, vol. 91(1), pages 113-127, January.
    20. Pavlos Almanidis, 2013. "Accounting for heterogeneous technologies in the banking industry: a time-varying stochastic frontier model with threshold effects," Journal of Productivity Analysis, Springer, vol. 39(2), pages 191-205, April.

  186. Efthymios Tsionas & Dimitris Christopoulos, 2004. "International Evidence on Import Demand," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 31(1), pages 43-53, March.

    Cited by:

    1. Ranjini L. Thaver & E. M. Ekanayake, 2010. "The Impact Of Apartheid And International Sanctions On South Africa'S Import Demand Function: An Empirical Analysis," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 4(4), pages 11-22.
    2. Paul Mwebaze & Jim Monaghan & Nicola Spence & Alan MacLeod & Martin Hare & Brian Revell, 2010. "Modelling the Risks Associated with the Increased Importation of Fresh Produce from Emerging Supply Sources Outside the EU to the UK," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 97-121, February.
    3. Nomfundo Portia Vacu & Nicholas Odhiambo, 2019. "The determinants of aggregate and dis-aggregated import demand in Ghana," African Journal of Economic and Management Studies, Emerald Group Publishing Limited, vol. 10(3), pages 356-367, May.
    4. Ochnio Luiza & Rokicki Tomasz & Koszela Grzegorz & Klepacki Bogdan, 2019. "Diversification of Lamb Meat Imports in EU Countries and its Trends," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 23(4), pages 96-111, December.
    5. Thomas Reininger, 2008. "Factors Driving Import Demand in Selected Central, Eastern and Southeastern European Countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 100-125.

  187. Efthymios Tsionas, 2003. "Inflation and Productivity: Empirical Evidence from Europe," Review of International Economics, Wiley Blackwell, vol. 11(1), pages 114-129, February.

    Cited by:

    1. Saten Kumar & Don J. Webber & Geoff Perry, 2009. "Real wages, inflation and labour productivity in Australia," Working Papers 0921, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    2. Tim Bulman & John Simon, 2003. "Productivity and Inflation," RBA Research Discussion Papers rdp2003-10, Reserve Bank of Australia.
    3. Roosen, Jutta & Hennessy, David A., 2003. "The Deseasonalization Of Animal Production," 2003 Annual meeting, July 27-30, Montreal, Canada 22068, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

  188. Christopoulos, Dimitris K & Tsionas, Efthymios G, 2003. "Testing the Buchanan-Wagner Hypothesis: European Evidence from Panel Unit Root and Cointegration Tests," Public Choice, Springer, vol. 115(3-4), pages 439-453, June.

    Cited by:

    1. Pedro Henrique Martins Prado & Cleomar Gomes da Silva, 2020. "Wagner’s Law and Fiscal Illusion: An analysis of state government finances in Brazil," Review of Development Economics, Wiley Blackwell, vol. 24(2), pages 628-643, May.
    2. Elton Beqiraj & Silvia Fedeli & Francesco Forte, 2018. "Public budgetary rules and GDP growth: An empirical study on OECD and twelve european countries," Southern Economic Journal, John Wiley & Sons, vol. 85(1), pages 170-188, July.
    3. James Alm & Abel Embaye, 2011. "Explaining the Growth of Government Spending in South Africa," Working Papers 1105, Tulane University, Department of Economics.
    4. Francois Facchini, 2018. "What Are the Determinants of Public Spending? An Overview of the Literature," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 46(4), pages 419-439, December.
    5. Roberto Dell’Anno & Paulo Mourao, 2012. "Fiscal Illusion around the World," Public Finance Review, , vol. 40(2), pages 270-299, March.
    6. Rodríguez-Nava, Abigail & Venegas-Martínez, Francisco & López-Herrera, Francisco, 2014. "La necesidad de la reforma fiscal para PEMEX: viabilidad económica y financiera," Sección de Estudios de Posgrado e Investigación de la Escuela Superios de Economía del Instituto Politécnico Nacional, in: Universidad Autónoma del Estado de México (ed.), Efectos de las reformas estructurales en las fluctuaciones cíclicas y el crecimiento económico en México, volume 1, chapter 2, pages 43-70, Escuela Superior de Economía, Instituto Politécnico Nacional.
    7. Polemis, Michael L. & Fotis, Panagiotis N., 2013. "Do gasoline prices respond asymmetrically in the euro zone area? Evidence from cointegrated panel data analysis," Energy Policy, Elsevier, vol. 56(C), pages 425-433.
    8. Dimitris Christopoulos & John Loizides & Efthymios Tsionas, 2005. "The Abrams curve of government size and unemployment: evidence from panel data," Applied Economics, Taylor & Francis Journals, vol. 37(10), pages 1193-1199.
    9. Agata Szymańska, 2021. "Determinants of General Government Social Spending: Evidence from the Eurozone," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 4, pages 508-528.

  189. Tsionas, Efthymios G. & Christopoulos, Dimitris K., 2003. "Cointegration modeling of interrelated factor demands: With an application to labor-import substitution in the European Union," Journal of Macroeconomics, Elsevier, vol. 25(4), pages 509-526, December.

    Cited by:

    1. Sun, Changyou, 2017. "Competition of wood products with different fiber transformation and import sources," Forest Policy and Economics, Elsevier, vol. 74(C), pages 30-39.

  190. Dimitris Christopoulos & EFthymios Tsionas, 2003. "A Reassessment Of Balance Of Payments Constrained Growth: Results From Panel Unit Root And Panel Cointegration Tests," International Economic Journal, Taylor & Francis Journals, vol. 17(3), pages 39-54.

    Cited by:

    1. Polemis, Michael L. & Fotis, Panagiotis N., 2014. "The taxation effect on gasoline price asymmetry nexus: Evidence from both sides of the Atlantic," Energy Policy, Elsevier, vol. 73(C), pages 225-233.
    2. Panagiotis Nikolaos Fotis & Victoria Pekka, 2017. "The effect of renewable energy use and economic growth on pollution in the EUROZONE," Economics and Business Letters, Oviedo University Press, vol. 6(3), pages 88-99.
    3. Irene Fafaliou & Michael Polemis, 2013. "Competitiveness of the Euro Zone Manufacturing: A Panel Data Analysis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 19(1), pages 45-61, February.
    4. Bineau, Yannick, 2008. "Équilibre extérieur et taux de change réel : apport du modèle de croissance contrainte par la balance des paiements," L'Actualité Economique, Société Canadienne de Science Economique, vol. 84(3), pages 263-285, septembre.
    5. Anthony Philip Thirlwall, 2012. "Balance of Payments Constrained Growth Models: History and Overview," Palgrave Macmillan Books, in: Elias Soukiazis & Pedro A. Cerqueira (ed.), Models of Balance of Payments Constrained Growth, chapter 1, pages 11-49, Palgrave Macmillan.
    6. A. P. Thirlwall, 2013. "Economic Growth in an Open Developing Economy," Books, Edward Elgar Publishing, number 15208.
    7. Gouvea, Raphael Rocha & Lima, Gilberto Tadeu, 2011. "Balance-of-payments-constrained growth in a multisectoral framework: a panel data investigation," MPRA Paper 29816, University Library of Munich, Germany.
    8. Zhandos Ybrayev, 2022. "Balance-of-payments-constrained growth model: an application to the Kazakhstan’s economy," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(4), pages 745-767, December.
    9. Fotis, Panagiotis & Karkalakos, Sotiris & Asteriou, Dimitrios, 2017. "The relationship between energy demand and real GDP growth rate: The role of price asymmetries and spatial externalities within 34 countries across the globe," Energy Economics, Elsevier, vol. 66(C), pages 69-84.
    10. Yongkul Won & Frank S.T. Hsiao & Doo Yong Yang, 2008. "FDI Inflows, Exports and Economic Growth in First and Second Generation ANIEs : Panel Data Causality Analyses," Trade Working Papers 21939, East Asian Bureau of Economic Research.
    11. Panagiotis Fotis & Michael Polemis, 2018. "Sustainable development, environmental policy and renewable energy use: A dynamic panel data approach," Sustainable Development, John Wiley & Sons, Ltd., vol. 26(6), pages 726-740, November.
    12. Mohammed Al- Mahish, 2017. "Does Balance of Payments Constrained Growth Model Hold in Saudi Arabia?," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 2(1), pages 1-15, March.
    13. Mowshumi Sharmin & Mohammad Tareque, 2020. "Sustainable Growth-Environment Nexus in the Context of Four Developing Asian Economies: A Panel Analysis," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 18(3 (Fall)), pages 237-256.
    14. Maja Kadievska-Vojnovic & Danica Unevska, 2007. "Price and Income Elasticities of Export and Import and Economic Growth in the case of the Republic of Macedonia," Working Papers 2007-01, National Bank of the Republic of North Macedonia.
    15. Polemis, Michail & Fotis, Panagiotis, 2011. "The gasoline Industry in European Union and the USA," MPRA Paper 35097, University Library of Munich, Germany.
    16. Polemis, Michael L., 2016. "New evidence on the impact of structural reforms on electricity sector performance," Energy Policy, Elsevier, vol. 92(C), pages 420-431.
    17. Ricardo Azevedo Araujo & Gilberto Tadeu Lima, 2007. "A structural economic dynamics approach to balance-of-payments-constrained growth," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 31(5), pages 755-774, September.
    18. Polemis, Michael L. & Fotis, Panagiotis N., 2013. "Do gasoline prices respond asymmetrically in the euro zone area? Evidence from cointegrated panel data analysis," Energy Policy, Elsevier, vol. 56(C), pages 425-433.
    19. Hsiao, Frank S.T. & Hsiao, Mei-Chu W., 2006. "FDI, exports, and GDP in East and Southeast Asia--Panel data versus time-series causality analyses," Journal of Asian Economics, Elsevier, vol. 17(6), pages 1082-1106, December.
    20. Woocheol Lee, 2021. "Structural Change, Balance of Payments Constraint, and Economic Growth: Evidence from Vietnam," Review of Radical Political Economics, Union for Radical Political Economics, vol. 53(4), pages 631-653, December.
    21. Hsiao, Frank S. T. & Hsiao, Mei-Chu W., 2004. "The chaotic attractor of foreign direct investment--Why China?: A panel data analysis," Journal of Asian Economics, Elsevier, vol. 15(4), pages 641-670, August.
    22. Raphael Rocha Gouvea & Gilberto Tadeu Lima, 2010. "Structural change, balance-of-payments constraint, and economic growth: evidence from the multisectoral Thirlwall's law," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 33(1), pages 169-204, October.

  191. Tsionas, Efthymios G. & Christopoulos, Dimitris K., 2003. "Maastricht convergence and real convergence: European evidence from threshold and smooth transition regression models," Journal of Policy Modeling, Elsevier, vol. 25(1), pages 43-52, January.

    Cited by:

    1. Gerdesmeier, Dieter & Reimers, Hans-Eggert & Roffia, Barbara, 2023. "Investigating the inflation-output-nexus for the euro area: Old questions and new results," Wismar Discussion Papers 01/2023, Hochschule Wismar, Wismar Business School.
    2. Jesús Crespo Cuaresma & Maria Silgoner, 2014. "Economic Growth and Inflation in Europe: A Tale of Two Thresholds," Journal of Common Market Studies, Wiley Blackwell, vol. 52(4), pages 843-860, July.
    3. Dieter Nautz & Juliane Scharff, 2012. "Inflation and relative price variability in the euro area: evidence from a panel threshold model," Applied Economics, Taylor & Francis Journals, vol. 44(4), pages 449-460, February.
    4. Jesús Crespo Cuaresma & Maria Antoinette Silgoner, 2004. "Growth effects of inflation in Europe: How low is too low, how high is too high?," Vienna Economics Papers vie0411, University of Vienna, Department of Economics.
    5. M. Karagoz, 2016. "Comparative performances of EU-15 and Turkey: a PIN analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 23(1), pages 19-22, January.
    6. Santeramo, Fabio Gaetano & Cioffi, Antonio, 2012. "The entry price threshold in EU agriculture: deterrent or barrier?," MPRA Paper 36431, University Library of Munich, Germany.

  192. Tsionas, Efthymios G., 2003. "Exact solution of asset pricing models with arbitrary shock distributions," Journal of Economic Dynamics and Control, Elsevier, vol. 27(5), pages 843-851, March.

    Cited by:

    1. Yoon, Gawon, 2004. "On the existence of expected utility with CRRA under STUR," Economics Letters, Elsevier, vol. 83(2), pages 219-224, May.
    2. Yu Chen & Thomas Cosimano & Alex Himonas, 2008. "Solving an asset pricing model with hybrid internal and external habits, and autocorrelated Gaussian shocks," Annals of Finance, Springer, vol. 4(3), pages 305-344, July.
    3. Oliver de Groot, 2014. "Solving asset pricing models with stochastic volatility," Finance and Economics Discussion Series 2014-71, Board of Governors of the Federal Reserve System (U.S.).
    4. Walter Pohl & Karl Schmedders & Ole Wilms, 2018. "Higher Order Effects in Asset Pricing Models with Long‐Run Risks," Journal of Finance, American Finance Association, vol. 73(3), pages 1061-1111, June.
    5. Alexis Akira Toda, 2021. "Data-Based Automatic Discretization of Nonparametric Distributions," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1217-1235, April.
    6. Martin Andreasen, 2012. "On the Effects of Rare Disasters and Uncertainty Shocks for Risk Premia in Non-Linear DSGE Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(3), pages 295-316, July.
    7. Athanasoulis, Stefano G., 2005. "Asset pricing from primitives: closed form solutions to asset prices, consumption, and portfolio demands," Journal of Economic Dynamics and Control, Elsevier, vol. 29(3), pages 423-447, March.
    8. Toda, Alexis Akira, 2017. "Huggett economies with multiple stationary equilibria," Journal of Economic Dynamics and Control, Elsevier, vol. 84(C), pages 77-90.
    9. Collard, Fabrice & Feve, Patrick & Ghattassi, Imen, 2006. "Predictability and habit persistence," Journal of Economic Dynamics and Control, Elsevier, vol. 30(11), pages 2217-2260, November.
    10. Andreasen Martin M. & Zabczyk Pawel, 2015. "Efficient bond price approximations in non-linear equilibrium-based term structure models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(1), pages 1-33, February.
    11. Andreasen Martin M, 2010. "Sufficient Conditions for Finite Objective Functions in DSGE Models with Deterministic and Stochastic Trends," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-41, June.
    12. Collard, Fabrice & Fève, Patrick & Ghattassi, Imen, 2003. "Solving Asset Pricing Models with Habit Persistence," IDEI Working Papers 245, Institut d'Économie Industrielle (IDEI), Toulouse.

  193. Tsionas, Efthymios G., 2003. "Combining DEA and stochastic frontier models: An empirical Bayes approach," European Journal of Operational Research, Elsevier, vol. 147(3), pages 499-510, June.

    Cited by:

    1. Peter R. Hartley and Kenneth B. Medlock III, 2013. "Changes in the Operational Efficiency of National Oil Companies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    2. Anastassios Karaganis & Antonios Tassoulis, 2006. "Spatial Efficiency Analysis of Arable Crops in Greece," ERSA conference papers ersa06p616, European Regional Science Association.
    3. Gstach, Dieter, 2005. "Estimating output targets to evaluate output-specific efficiencies: A statistical framework," European Journal of Operational Research, Elsevier, vol. 161(2), pages 564-578, March.
    4. Hung-Tso Lin & Tsung-Yu Chou & Yen-Ting Chen & Yin-Chi Huang, 2014. "Profitability analysis using IDEA–DA framework," Annals of Operations Research, Springer, vol. 223(1), pages 291-308, December.
    5. Michaelides, Panayotis G. & Vouldis, Angelos T. & Tsionas, Efthymios G., 2010. "Globally flexible functional forms: The neural distance function," European Journal of Operational Research, Elsevier, vol. 206(2), pages 456-469, October.
    6. Randrianarisoa, Laingo M. & Bolduc, Denis & Choo, Yap Yin & Oum, Tae H. & Yan, Jia, 2015. "Effects of Corruption on Efficiency of the European Airports," Working Papers 198161, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    7. Tsionas, Mike G., 2023. "Minimax regret priors for efficiency estimation," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1279-1285.
    8. Zainab Bibi & Dilawar Khan & Ihtisham ul Haq, 2021. "Technical and environmental efficiency of agriculture sector in South Asia: a stochastic frontier analysis approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 9260-9279, June.
    9. Jianxu Liu & Sanzidur Rahman & Songsak Sriboonchitta & Aree Wiboonpongse, 2017. "Enhancing Productivity and Resource Conservation by Eliminating Inefficiency of Thai Rice Farmers: A Zero Inefficiency Stochastic Frontier Approach," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
    10. Tsionas, Mike G., 2023. "Combining data envelopment analysis and stochastic frontiers via a LASSO prior," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1158-1166.
    11. George Assaf, A., 2012. "Benchmarking the Asia Pacific tourism industry: A Bayesian combination of DEA and stochastic frontier," Tourism Management, Elsevier, vol. 33(5), pages 1122-1127.
    12. Stacy Eller & Peter Hartley & Kenneth Medlock, 2011. "Empirical evidence on the operational efficiency of National Oil Companies," Empirical Economics, Springer, vol. 40(3), pages 623-643, May.
    13. Tsionas, Mike G. & Andrikopoulos, Athanasios, 2020. "On a High-Dimensional Model Representation method based on Copulas," European Journal of Operational Research, Elsevier, vol. 284(3), pages 967-979.
    14. Dilawar Khan & Muhammad Nouman & Arif Ullah, 2023. "Assessing the impact of technological innovation on technically derived energy efficiency: a multivariate co-integration analysis of the agricultural sector in South Asia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3723-3745, April.
    15. Paradi, Joseph C. & Rouatt, Stephen & Zhu, Haiyan, 2011. "Two-stage evaluation of bank branch efficiency using data envelopment analysis," Omega, Elsevier, vol. 39(1), pages 99-109, January.
    16. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021. "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP082021, School of Economics, University of Queensland, Australia.
    17. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    18. Tsionas, Mike G., 2023. "Performance estimation when the distribution of inefficiency is unknown," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1212-1222.
    19. Tsionas, Mike G., 2021. "Optimal combinations of stochastic frontier and data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 294(2), pages 790-800.
    20. Georges Assaf, A. & Gillen, David, 2012. "Measuring the joint impact of governance form and economic regulation on airport efficiency," European Journal of Operational Research, Elsevier, vol. 220(1), pages 187-198.
    21. Zaiwu Gong & Xiaoqing Chen, 2017. "Analysis of Interval Data Envelopment Efficiency Model Considering Different Distribution Characteristics—Based on Environmental Performance Evaluation of the Manufacturing Industry," Sustainability, MDPI, vol. 9(12), pages 1-25, November.
    22. Tsionas, Mike G., 2020. "A coherent approach to Bayesian Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 281(2), pages 439-448.
    23. B. J. Gajewski & R. Lee & M. Bott & U. Piamjariyakul & R. L. Taunton, 2009. "On estimating the distribution of data envelopment analysis efficiency scores: an application to nursing homes' care planning process," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(9), pages 933-944.

  194. Tsionas, Efthymios G. & Lolos, Sarantis E. G. & Christopoulos, Dimitris K., 2003. "The performance of the Greek banking system in view of the EMU: results from a non-parametric approach," Economic Modelling, Elsevier, vol. 20(3), pages 571-592, May.

    Cited by:

    1. Athanasoglou, Panayiotis & Georgiou, Evangelia & Staikouras, Christos, 2008. "Assessing output and productivity growth in the banking industry," MPRA Paper 31996, University Library of Munich, Germany.
    2. Rangkakulnuwat, Poomthan & Wang, H. Holly, 2011. "Productivity growth decomposition with FE-IV approach: Rethinking Thai commercial banks after the financial crisis," Economic Modelling, Elsevier, vol. 28(6), pages 2579-2588.
    3. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    4. Meryem Duygun Fethi & Mohamed Shaban & Thomas Weyman-Jones, 2009. "Liberalisation, privatisation and the productivity of Egyptian banks: a non-parametric approach," The Service Industries Journal, Taylor & Francis Journals, vol. 31(7), pages 1143-1163, September.
    5. Siriopoulos, Costas & Tziogkidis, Panagiotis, 2010. "How do Greek banking institutions react after significant events?--A DEA approach," Omega, Elsevier, vol. 38(5), pages 294-308, October.
    6. Maradin, Dario & Prohaska, Zdenko & Suljic Nikolaj, Stella, 2019. "The Productivity Of European Banking Sector: A Review Of The Post-2000 Literature," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 10(2), pages 249-257.
    7. Tsionas, Efthymios G. & Papadakis, Emmanuel N., 2010. "A Bayesian approach to statistical inference in stochastic DEA," Omega, Elsevier, vol. 38(5), pages 309-314, October.
    8. Georgios D. Papagiannis, 2014. "Measurement of Efficiency in Greek Banking Industries in The Light of the Financial Crisis," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 19-38.
    9. Kounetas, Konstantinos & Mourtos, Ioannis & Tsekouras, Konstantinos, 2009. "Efficiency decompositions for heterogeneous technologies," European Journal of Operational Research, Elsevier, vol. 199(1), pages 209-218, November.
    10. Karligash Kenjegalieva & Richard Simper, 2010. "A Productivity analysis of Eastern European banking taking into account risk decomposition and environmental variables," Discussion Paper Series 2010_02, Department of Economics, Loughborough University, revised Jan 2010.
    11. Duygun, Meryem & Shaban, Mohamed & Sickles, Robin C. & Weyman-Jones, Thomas, 2015. "How Regulatory Capital Requirement Affect Banks' Productivity: An Application to Emerging Economies' Banks," Working Papers 15-012, Rice University, Department of Economics.
    12. A.I. Dimitras & K. Kosmidou & A.K. Apostolou, 2010. "Bank efficiency estimation and the change of the accounting standards: evidence from Greece," International Journal of Managerial and Financial Accounting, Inderscience Enterprises Ltd, vol. 2(1), pages 20-39.
    13. Cristian Barra & Sergio Destefanis & Giuseppe Lubrano Lavadera, 2013. "Regulation and the Crisis: The Efficiency of Italian Cooperative Banks," CSEF Working Papers 338, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    14. Adnan Kasman & Saadet Kasman & Duygu Ayhan & Erdost Torun, 2013. "Total factor productivity and convergence: evidence from old and new EU member countries' banking sectors," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 14(sup1), pages 13-35, June.
    15. Nikolaos Mylonidis & Ioanna Kelnikola, 2005. "Merging activity in the Greek Banking System: A Financial Accounting Perspective," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 3(1), pages 121-144.
    16. Alexandre Momparler & Carlos Lassala & Domingo Ribeiro, 2013. "Efficiency in banking services: a comparative analysis of Internet-primary and branching banks in the US," Service Business, Springer;Pan-Pacific Business Association, vol. 7(4), pages 641-663, December.
    17. Chih-Ching Yang, 2014. "An enhanced DEA model for decomposition of technical efficiency in banking," Annals of Operations Research, Springer, vol. 214(1), pages 167-185, March.
    18. George Emmanuel Iatridis & Anthony Dionysus Persakis, 2012. "Bank profitability determinants under IFRSs," International Journal of Economics and Accounting, Inderscience Enterprises Ltd, vol. 3(1), pages 77-99.
    19. Panagiotis Tziogkidis & Kent Matthews & Dionisis Philippas, 2018. "The effects of sector reforms on the productivity of Greek banks: a step-by-step analysis of the pre-Euro era," Annals of Operations Research, Springer, vol. 266(1), pages 531-549, July.
    20. Pasiouras, Fotios, 2008. "Estimating the technical and scale efficiency of Greek commercial banks: The impact of credit risk, off-balance sheet activities, and international operations," Research in International Business and Finance, Elsevier, vol. 22(3), pages 301-318, September.
    21. Sergiy Rakhmayil, 2010. "Did Financial Performance Of European Firms Improve And Converge After Introduction Of The Euro?," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 4(2), pages 27-41.
    22. Meryem Duygun & Mohamed Shaban & Robin Sickles & Thomas Weyman-Jones, 2015. "How a regulatory capital requirement affects banks’ productivity: an application to emerging economies," Journal of Productivity Analysis, Springer, vol. 44(3), pages 237-248, December.
    23. Giorgos Argitis & Stella Michopoulou, 2013. "Studies in Financial Systems No 4 Financialization and the Greek Financial System," FESSUD studies fstudy04, Financialisation, Economy, Society & Sustainable Development (FESSUD) Project.
    24. Halkos, George E. & Tzeremes, Nickolaos G., 2013. "Estimating the degree of operating efficiency gains from a potential bank merger and acquisition: A DEA bootstrapped approach," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1658-1668.
    25. Fadzlan Sufian, 2014. "Which Element Bank Total Factor Productivity Is More Representative: Technological Progress or Efficiency Change?," Vision, , vol. 18(1), pages 9-22, March.

  195. Efthymios Tsionas, 2003. "Inflation and Productivity in Europe: An Empirical Investigation," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 30(1), pages 39-62, March.

    Cited by:

    1. Saten Kumar & Don J. Webber & Geoff Perry, 2009. "Real wages, inflation and labour productivity in Australia," Working Papers 0921, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.

  196. Dimitris Christopoulos & Eftymios Tsionas, 2002. "Non-Sationarity in the Consumption-Income Ratio: Further Evidence from Panel and Assymetric Unit Root Tests," Economics Bulletin, AccessEcon, vol. 3(12), pages 1-5.

    Cited by:

    1. Sadiye Baykara & Erdinç Telatar, 2012. "The Stationarity Of Consumption-Income Ratios With Nonlinear And Asymmetric Unit Root Tests: Evidence From Fourteen Transition Economies," Hacettepe University Department of Economics Working Papers 20129, Hacettepe University, Department of Economics.
    2. Gomes, Fábio A. R. & Franchini, Douglas de S., 2008. "The Stationarity of Consumption–Income Ratios: Evidence from South American Countries," Insper Working Papers wpe_123, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    3. Sakiru Adebola SOLARIN, 2017. "The Stationarity of Consumption-Income Ratios: Nonlinear Evidence in ASEAN Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 109-123, June.
    4. Solarin, Sakiru Adebola & Shahbaz, Muhammad & Stewart, Chris, 2018. "Is the consumption-income ratio stationary in African countries? Evidence from new time series tests that allow for structural breaks," Economics Discussion Papers 2018-2, School of Economics, Kingston University London.
    5. Shu‐Yi Liao & Lan‐Hsun Wang & Mao‐Lung Huang, 2019. "Does More Consumption Promote Real GDP Growth?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(3), pages 384-403, July.

  197. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    See citations under working paper version above.
  198. Christopoulos, Dimitris K. & Lolos, Sarantis E. G. & Tsionas, Efthymios G., 2002. "Efficiency of the Greek banking system in view of the EMU: a heteroscedastic stochastic frontier approach," Journal of Policy Modeling, Elsevier, vol. 24(9), pages 813-829, December.

    Cited by:

    1. Eirini Stavropoulou & Konstantinos Spinthiropoulos & Alexandros Garefalakis & Konstantina Ragazou & Fragkiskos Gonidakis, 2023. "The Role of Social Banking in the Success and Sustainable Business Continuity of SSMEs," IJFS, MDPI, vol. 11(3), pages 1-15, June.
    2. Samir Srairi, 2010. "Cost and profit efficiency of conventional and Islamic banks in GCC countries," Journal of Productivity Analysis, Springer, vol. 34(1), pages 45-62, August.
    3. Daniel Stavarek, 2005. "Efficiency of Banks in Regions at Different Stage of European Integration Process," Finance 0502020, University Library of Munich, Germany.
    4. Ihsen Abid & Mohamed Goaied & Mouldi Ben Ammar, 2019. "Conventional and Islamic Banks’ Performance in the Gulf Cooperation Council Countries; Efficiency and Determinants," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(3), pages 623-665, September.
    5. Sabin Bikram Panta & Devi Prasad Bedari, Ph.D., 2015. "Cost Efficiency of Nepali Commercial Banks in the Context of Regulatory Changes," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 27(2), pages 75-90, October.
    6. Sensarma, Rudra, 2006. "Are foreign banks always the best? Comparison of state-owned, private and foreign banks in India," Economic Modelling, Elsevier, vol. 23(4), pages 717-735, July.
    7. Hondroyiannis, George & Lolos, Sarantis & Papapetrou, Evangelia, 2005. "Financial markets and economic growth in Greece, 1986-1999," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(2), pages 173-188, April.
    8. Lowry, Mark Newton & Getachew, Lullit, 2009. "Statistical benchmarking in utility regulation: Role, standards and methods," Energy Policy, Elsevier, vol. 37(4), pages 1323-1330, April.
    9. Siriopoulos, Costas & Tziogkidis, Panagiotis, 2010. "How do Greek banking institutions react after significant events?--A DEA approach," Omega, Elsevier, vol. 38(5), pages 294-308, October.
    10. Liao, Chang-Sheng, 2023. "Deregulation, bank efficiency and economic cooperation across China–Taiwan Strait," Journal of Policy Modeling, Elsevier, vol. 45(2), pages 430-444.
    11. George Hondroyiannis & Sarantis Lolos & Evangelia Papapetrou, 2004. "Financial Markets and Economic Growth in Greece," Working Papers 17, Bank of Greece.
    12. Otero, Luis & Razia, Alaa & Cunill, Onofre Martorell & Mulet-Forteza, Carles, 2020. "What determines efficiency in MENA banks?," Journal of Business Research, Elsevier, vol. 112(C), pages 331-341.
    13. Tsionas, Efthymios G. & Papadakis, Emmanuel N., 2010. "A Bayesian approach to statistical inference in stochastic DEA," Omega, Elsevier, vol. 38(5), pages 309-314, October.
    14. Khan, Habib Hussain & Ahmad, Rubi Binti & Chan, Sok Gee, 2018. "Market structure, bank conduct and bank performance: Evidence from ASEAN," Journal of Policy Modeling, Elsevier, vol. 40(5), pages 934-958.
    15. Sajida Sari & Shochrul Rohmatul Ajija & Wasiaturrahma Wasiaturrahma & Raja Adzrin Raja Ahmad, 2022. "The Efficiency of Indonesian Commercial Banks: Does the Banking Industry Competition Matter?," Sustainability, MDPI, vol. 14(17), pages 1-16, September.
    16. A.I. Dimitras & K. Kosmidou & A.K. Apostolou, 2010. "Bank efficiency estimation and the change of the accounting standards: evidence from Greece," International Journal of Managerial and Financial Accounting, Inderscience Enterprises Ltd, vol. 2(1), pages 20-39.
    17. Jaffry, Shabbar & Ghulam, Yaseen & Pascoe, Sean & Cox, Joe, 2007. "Regulatory changes and productivity of the banking sector in the Indian sub-continent," Journal of Asian Economics, Elsevier, vol. 18(3), pages 415-438, June.
    18. Giannis Karagiannis, 2005. "Explaining output growth with a heteroscedastic non-neutral production frontier: the case of sheep farms in Greece," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(1), pages 51-74, March.
    19. Nikolaos Mylonidis & Ioanna Kelnikola, 2005. "Merging activity in the Greek Banking System: A Financial Accounting Perspective," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 3(1), pages 121-144.
    20. Koutsomanoli-Filippaki, Anastasia & Mamatzakis, Emmanuel & Staikouras, Christos, 2009. "Structural reforms and banking efficiency in the new EU States," Journal of Policy Modeling, Elsevier, vol. 31(1), pages 17-21.
    21. Stavarek, Daniel & Šulganová, Jana, 2009. "Analýza efektívnosti slovenských bánk využitím Stochastic Frontier Approach [Analysis of Efficiency of Slovak Banks Using Stochastic Frontier Approach]," MPRA Paper 16020, University Library of Munich, Germany.
    22. Manlagñit, Maria Chelo V., 2011. "Cost efficiency, determinants, and risk preferences in banking: A case of stochastic frontier analysis in the Philippines," Journal of Asian Economics, Elsevier, vol. 22(1), pages 23-35, February.
    23. Panagiotis Tziogkidis & Kent Matthews & Dionisis Philippas, 2018. "The effects of sector reforms on the productivity of Greek banks: a step-by-step analysis of the pre-Euro era," Annals of Operations Research, Springer, vol. 266(1), pages 531-549, July.
    24. Manlagnit, Maria Chelo V., 2015. "Basel regulations and banks’ efficiency: The case of the Philippines," Journal of Asian Economics, Elsevier, vol. 39(C), pages 72-85.
    25. Pasiouras, Fotios, 2008. "Estimating the technical and scale efficiency of Greek commercial banks: The impact of credit risk, off-balance sheet activities, and international operations," Research in International Business and Finance, Elsevier, vol. 22(3), pages 301-318, September.
    26. Giorgos Argitis & Stella Michopoulou, 2013. "Studies in Financial Systems No 4 Financialization and the Greek Financial System," FESSUD studies fstudy04, Financialisation, Economy, Society & Sustainable Development (FESSUD) Project.
    27. Halkos, George E. & Tzeremes, Nickolaos G., 2013. "Estimating the degree of operating efficiency gains from a potential bank merger and acquisition: A DEA bootstrapped approach," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1658-1668.

  199. Efthymios Tsionas, 2002. "Another Look at Regional Convergence in Greece," Regional Studies, Taylor & Francis Journals, vol. 36(6), pages 603-609.

    Cited by:

    1. Tubadji, Annie & Nijkamp, Peter, 2016. "Impact of Intangible Cultural Capital on Regional Economic Development: A Study on Culture-Based Development in Greece," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 46(1).
    2. Prodromídis, Pródromos-Ioánnis K., 2017. "Analyzing local incomes in Greece by fitting space with an econometrics driven method," The Journal of Economic Asymmetries, Elsevier, vol. 15(C), pages 1-16.
    3. Zhongxun Zhang & Kaifang Shi & Zhiyong Zhu & Lu Tang & Kangchuan Su & Qingyuan Yang, 2022. "Spatiotemporal Evolution and Influencing Factors of the Rural Natural Capital Utilization Efficiency: A Case Study of Chongqing, China," Land, MDPI, vol. 11(5), pages 1-29, May.
    4. Angelos Liontakis & Christos T. Papadas & Irene Tzouramani, 2011. "Regional Economic Convergence in Greece: A Stochastic Dominance Approach," ERSA conference papers ersa10p1188, European Regional Science Association.
    5. Tadeusz Misiak & Tomasz Tokarski & Robert W. Włodarczyk, 2011. "Konwergencja czy dywergencja polskich rynków pracy?," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 7-8, pages 47-69.
    6. Juan David Barón Rivera, 2003. "¿Qué sucedió con las disparidades económicas regionales en Colombia entre 1980 y el 2000?," Documentos de Trabajo Sobre Economía Regional y Urbana 3828, Banco de la República, Economía Regional.
    7. Panagiotis Liargovas & Georgios Fotopoulos, 2008. "Socioeconomic indicators for analyzing Convergence: the case of Greece: 1960-2004," Working Papers 0014, University of Peloponnese, Department of Economics.
    8. Marta Kuc-Czarnecka & Samuele Lo Piano & Andrea Saltelli, 2020. "Quantitative Storytelling in the Making of a Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 775-802, June.
    9. Guangdong Li & Chuanglin Fang, 2014. "Analyzing the multi-mechanism of regional inequality in China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(1), pages 155-182, January.
    10. Halkos, George & Tzeremes, Nickolaos, 2011. "Population density and regional welfare efficiency," MPRA Paper 30097, University Library of Munich, Germany.
    11. Ilias Livanos, 2010. "The Wage-Local Unemployment Relationship in a Highly Regulated Labour Market: Greece," Regional Studies, Taylor & Francis Journals, vol. 44(4), pages 389-400.
    12. Theodoros Arvanitopoulos & Vassilis Monastiriotis & Theodore Panagiotidis, 2021. "Drivers of convergence: The role of first- and second-nature geography," Urban Studies, Urban Studies Journal Limited, vol. 58(14), pages 2880-2900, November.
    13. Santiago Rodriguez Feijoo & Alejandro Rodriguez Caro & Carlos Gonzalez Correa, 2004. "An Empirical Study of the Purchasing Power Parity in the European Union," ERSA conference papers ersa04p369, European Regional Science Association.
    14. Livanos, Ilias & Zangelidis, Alexandros, 2008. "Multiple-Job Holding Among Male Workers in Greece," MPRA Paper 17031, University Library of Munich, Germany.
    15. Prodromos-Ioannis Prodromidis, 2006. "Functional Economies Or Administrative Units in Greece: What Difference Does It Make for Policy?," ERSA conference papers ersa06p358, European Regional Science Association.

  200. Christopoulos, Dimitris K. & Tsionas, Efthymios G., 2002. "Allocative inefficiency and the capital-energy controversy," Energy Economics, Elsevier, vol. 24(4), pages 305-318, July.

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    1. Ouyang, Xiaoling & Sun, Chuanwang, 2015. "Energy savings potential in China's industrial sector: From the perspectives of factor price distortion and allocative inefficiency," Energy Economics, Elsevier, vol. 48(C), pages 117-126.
    2. Floros, Nikolaos & Vlachou, Andriana, 2005. "Energy demand and energy-related CO2 emissions in Greek manufacturing: Assessing the impact of a carbon tax," Energy Economics, Elsevier, vol. 27(3), pages 387-413, May.
    3. Al-Hadi, Azrina Abdullah & Bitzan, John & Peoples, James, 2019. "Input allocation efficiency in the United States railroad industry: Changing work rules and managerial flexibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 281-296.
    4. Lucas Bretschger, 2008. "Population growth and natural resource scarcity: long-run development under seemingly unfavourable conditions," CER-ETH Economics working paper series 08/87, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    5. Ma, Hengyun & Oxley, Les & Gibson, John & Kim, Bonggeun, 2008. "China's energy economy: Technical change, factor demand and interfactor/interfuel substitution," Energy Economics, Elsevier, vol. 30(5), pages 2167-2183, September.
    6. Obeng, K. & Sakano, R., 2020. "Effects of government regulations and input subsidies on cost efficiency: A decomposition approach," Transport Policy, Elsevier, vol. 91(C), pages 95-107.
    7. Zha, DongLan & Zhou, DeQun & Ding, Ning, 2012. "The determinants of aggregated electricity intensity in China," Applied Energy, Elsevier, vol. 97(C), pages 150-156.
    8. Bernstein, Ronald & Madlener, Reinhard, 2015. "Short- and long-run electricity demand elasticities at the subsectoral level: A cointegration analysis for German manufacturing industries," Energy Economics, Elsevier, vol. 48(C), pages 178-187.
    9. Lucas Bretschger, 2019. "Malthus in the Light of Climate Change," CER-ETH Economics working paper series 19/320, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    10. Khiabani, Nasser & Hasani, Karim, 2010. "Technical and allocative inefficiencies and factor elasticities of substitution: An analysis of energy waste in Iran's manufacturing," Energy Economics, Elsevier, vol. 32(5), pages 1182-1190, September.
    11. Hossein Mirshojaeian Hosseini & Shinji Kaneko, 2013. "Fuel Conservation Effect of Energy Subsidy Reform in Iran," Working Papers 3-1, Faculty of Economics,University of Tehran.Tehran,Iran.
    12. Koetse, Mark J. & de Groot, Henri L.F. & Florax, Raymond J.G.M., 2008. "Capital-energy substitution and shifts in factor demand: A meta-analysis," Energy Economics, Elsevier, vol. 30(5), pages 2236-2251, September.
    13. Hossein Mirshojaeian Hosseini & Shinji Kaneko, 2013. "Fuel Conservation Effect of Energy Subsidy Reform in Iran," Working Papers 3-1, Faculty of Economics,University of Tehran.Tehran,Iran.
    14. Tan, Ruipeng & Lin, Boqiang & Liu, Xiying, 2019. "Impacts of eliminating the factor distortions on energy efficiency—A focus on China's secondary industry," Energy, Elsevier, vol. 183(C), pages 693-701.
    15. Lotfali Agheli, 2015. "Estimating the Demand for Diesel in Agriculture Sector of Iran," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 660-667.
    16. Burki, Abid A. & Khan, Mahmood-ul-Hasan, 2004. "Effects of allocative inefficiency on resource allocation and energy substitution in Pakistan's manufacturing," Energy Economics, Elsevier, vol. 26(3), pages 371-388, May.
    17. Agnolucci, Paolo & De Lipsis, Vincenzo & Arvanitopoulos, Theodoros, 2017. "Modelling UK sub-sector industrial energy demand," Energy Economics, Elsevier, vol. 67(C), pages 366-374.
    18. Xu, Mengmeng & Lin, Boqiang, 2022. "Energy efficiency gains from distortion mitigation: A perspective on the metallurgical industry," Resources Policy, Elsevier, vol. 77(C).
    19. Bentzen, Jan, 2004. "Estimating the rebound effect in US manufacturing energy consumption," Energy Economics, Elsevier, vol. 26(1), pages 123-134, January.
    20. Ma, Hengyun & Oxley, Les & Gibson, John, 2009. "Substitution possibilities and determinants of energy intensity for China," Energy Policy, Elsevier, vol. 37(5), pages 1793-1804, May.
    21. Khalid, Waqar & Özdeşer, Hüseyin & Jalil, Abdul, 2021. "An empirical analysis of inter-factor and inter-fuel substitution in the energy sector of Pakistan," Renewable Energy, Elsevier, vol. 177(C), pages 953-966.
    22. Agnolucci, Paolo, 2009. "The effect of the German and British environmental taxation reforms: A simple assessment," Energy Policy, Elsevier, vol. 37(8), pages 3043-3051, August.
    23. Gao, Kang & Yuan, Yijun, 2022. "Does market-oriented reform make the industrial sector “Greener” in China? Fresh evidence from the perspective of capital-labor-energy market distortions," Energy, Elsevier, vol. 254(PA).
    24. Polemis, Michael. L., 2007. "Modeling industrial energy demand in Greece using cointegration techniques," Energy Policy, Elsevier, vol. 35(8), pages 4039-4050, August.
    25. Smyth, Russell & Narayan, Paresh Kumar & Shi, Hongliang, 2011. "Substitution between energy and classical factor inputs in the Chinese steel sector," Applied Energy, Elsevier, vol. 88(1), pages 361-367, January.
    26. Mirshojaeian Hosseini , Hossein & Majed , Vahid & Kaneko , Shinji, 2015. "The Effects of Energy Subsidy Reform on Fuel Demand in Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 10(2), pages 23-47, January.
    27. Wesseh, Presley K. & Lin, Boqiang & Appiah, Michael Owusu, 2013. "Delving into Liberia's energy economy: Technical change, inter-factor and inter-fuel substitution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 122-130.

  201. Loizides, John & Tsionas, Efthymios G., 2002. "Productivity growth in European railways: a new approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(7), pages 633-644, August.

    Cited by:

    1. Orea, Luis & Rodríguez-Álvarez, Ana & Kumbhakar, Subal, 2008. "Explaining Occupancy Rates in the European Railways: a Reduced-Form Approach," Efficiency Series Papers 2008/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    2. Jorge Antunes & Goodness C. Aye & Rangan Gupta & Peter Wanke & Yong Tan, 2020. "Endogenous Long-Term Productivity Performance in Advanced Countries: A Novel Two-Dimensional Fuzzy-Monte Carlo Approach," Working Papers 2020111, University of Pretoria, Department of Economics.
    3. Park, Sun-Young & Lee, Kyoung-Sil & Yoo, Seung-Hoon, 2016. "Economies of scale in the Korean district heating system: A variable cost function approach," Energy Policy, Elsevier, vol. 88(C), pages 197-203.
    4. Subal Kumbhakar & Luis Orea & Ana Rodríguez-Álvarez & Efthymios Tsionas, 2007. "Do we estimate an input or an output distance function? An application of the mixture approach to European railways," Journal of Productivity Analysis, Springer, vol. 27(2), pages 87-100, April.
    5. Heike Wetzel, 2008. "Productivity Growth in European Railways: Technological Progress,Efficiency Change and Scale Effects," Working Paper Series in Economics 101, University of Lüneburg, Institute of Economics.
    6. Tsionas, Efthymios G. & Baltas, Nicholas C. & Chionis, Dionysios P., 2011. "Rail infrastructure charging in Hellenic railways," Journal of Policy Modeling, Elsevier, vol. 33(3), pages 370-380, May.
    7. Woxenius, Johan, 2007. "Alternative transport network designs and their implications for intermodal transhipment technologies," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 35, pages 27-45.
    8. Farhadi, Minoo, 2015. "Transport infrastructure and long-run economic growth in OECD countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 73-90.
    9. Siew Hoon Lim & C.A. Knox Lovell, 2009. "Profit and productivity of US Class I railroads," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 423-442.
    10. Marchetti, Dalmo & Wanke, Peter, 2017. "Brazil's rail freight transport: Efficiency analysis using two-stage DEA and cluster-driven public policies," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 26-42.
    11. Yang, Gaoju & Huang, Xianhai & Huang, Jiahui & Chen, Hangyu, 2020. "Assessment of the effects of infrastructure investment under the belt and road initiative," China Economic Review, Elsevier, vol. 60(C).
    12. Fumitoshi Mizutani & Shuji Uranishi, 2013. "Does vertical separation reduce cost? An empirical analysis of the rail industry in European and East Asian OECD Countries," Journal of Regulatory Economics, Springer, vol. 43(1), pages 31-59, January.
    13. Lerida-Navarro, Carlos & Nombela, Gustavo & Tranchez-Martin, Jose M., 2019. "European railways: Liberalization and productive efficiency," Transport Policy, Elsevier, vol. 83(C), pages 57-67.

  202. Dimitris Christopoulos & Efthymios Tsionas, 2002. "Unemployment and government size: Is there any credible causality?," Applied Economics Letters, Taylor & Francis Journals, vol. 9(12), pages 797-800.

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    1. Jason E. Taylor & Ronald L. Klingler, 2016. "Fiscal Contraction and Economic Expansion: The 2013 Sequester and Post–World War II Spending Cuts," Cato Journal, Cato Journal, Cato Institute, vol. 36(1), pages 69-88, Winter.
    2. António Afonso & Huseyin Sen & Ayse Kaya, 2018. "Government Size, Unemployment, and Inflation Nexus in Eight Large Emerging Market Economies," Working Papers REM 2018/38, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    3. Ahmet AYSU & Gökhan DÖKMEN, 2011. "An Investigation on the Relationship between Government Size and Unemployment Rate: Evidence from OECD Countries," Sosyoekonomi Journal, Sosyoekonomi Society, issue 16(16).
    4. Dear Mahnaz Rahmat & Khalil Saeidi, 2017. "The Effect of Government Development Expenditures on Unemployment Rate in the Provinces," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 71-77.
    5. Siyan Wang & Burton A. Abrams, 2011. "The Effect of Government Size on the Steady-State Unemployment Rate: A Dynamic Perspective," Working Papers 11-12, University of Delaware, Department of Economics.
    6. Orkun ÇELIK & Elif ERER, 2021. "The Role of Gender in the Government Expenditure and Unemployment Nexus: An Investigation at Regional Level for Turkey," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 112-128, June.
    7. Horst Feldmann, 2007. "Economic Freedom and Unemployment around the World," Southern Economic Journal, John Wiley & Sons, vol. 74(1), pages 158-176, July.
    8. Siyan Wang & Burton A. Abrams, 2011. "Government Outlays, Economic Growth and Unemployment: A VAR Model," Working Papers 11-13, University of Delaware, Department of Economics.
    9. Burcu Yuruk & Hakan Acaroglu, 2021. "An Asymmetric Causality Analysis of the Relationship between Government Expenditure and Unemployment in Turkey," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 63(63), pages 93-110, June.
    10. Horst Feldmann, 2006. "Government Size and Unemployment: Evidence from Industrial Countries," Public Choice, Springer, vol. 127(3), pages 443-459, June.

  203. Efthymios G. Tsionas, 2001. "Posterior Analysis of Stochastic Frontier Models with Truncated Normal Errors," Computational Statistics, Springer, vol. 16(4), pages 559-575, December.

    Cited by:

    1. Tsionas, Efthymios G., 2012. "Maximum likelihood estimation of stochastic frontier models by the Fourier transform," Journal of Econometrics, Elsevier, vol. 170(1), pages 234-248.
    2. Tsionas, Efthymios G., 2003. "Combining DEA and stochastic frontier models: An empirical Bayes approach," European Journal of Operational Research, Elsevier, vol. 147(3), pages 499-510, June.

  204. Dimitris Christopoulos & John Loizides & Efthymios G. Tsionas, 2001. "Efficiency in European railways: Not as inefficient as one might think," Journal of Applied Economics, Universidad del CEMA, vol. 4, pages 63-88, May.

    Cited by:

    1. Orea, Luis & Rodríguez-Álvarez, Ana & Kumbhakar, Subal, 2008. "Explaining Occupancy Rates in the European Railways: a Reduced-Form Approach," Efficiency Series Papers 2008/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    2. Sauer, Johannes, 2004. "Rural Water Suppliers And Efficiency - Empirical Evidence From East And West Germany," IAMO Discussion Papers 14866, Institute of Agricultural Development in Transition Economies (IAMO).
    3. Bogart, Dan, 2010. "A global perspective on railway inefficiency and the rise of state ownership, 1880-1912," Explorations in Economic History, Elsevier, vol. 47(2), pages 158-178, April.
    4. Sauer, J.F., 2005. "“Efficiency Flooding”: Black-Box Frontiers and Policy Implications," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(1), pages 17-52.
    5. Ana Rodríguez Álvarez & Víctor Fernández Blanco & José Baños Pino, 2005. "El efecto de la regulación sobre la eficiencia productiva: una aplicación a las compañías ferroviarias europeas," Investigaciones Economicas, Fundación SEPI, vol. 29(2), pages 351-378, May.
    6. Johannes Sauer & Klaus Frohberg & Henrich Hockmann, 2006. "Stochastic efficiency measurement: The curse of theoretical consistency," Journal of Applied Economics, Universidad del CEMA, vol. 9, pages 139-166, May.
    7. Johannes Sauer & Klaus Frohberg, 2007. "Allocative efficiency of rural water supply – a globally flexible SGM cost frontier," Journal of Productivity Analysis, Springer, vol. 27(1), pages 31-40, February.
    8. Jan van der Linden, 2005. "Planning Paper 98 - Réforme de marché dans les industries de réseau en Belgique [Planning Paper 98 - Markthervorming in netwerkindustrieën in België]," Planning Papers 98, Federal Planning Bureau, Belgium.
    9. Sauer, Johannes, 2004. "Rural water suppliers and efficiency: Empirical evidence from East and West Germany," IAMO Discussion Papers 63, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    10. Fumitoshi Mizutani & Shuji Uranishi, 2013. "Does vertical separation reduce cost? An empirical analysis of the rail industry in European and East Asian OECD Countries," Journal of Regulatory Economics, Springer, vol. 43(1), pages 31-59, January.

  205. Efthymios G. Tsionas, 2001. "An introduction to efficiency measurement using Bayesian stochastic frontier models," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 3(2), pages 287-311.

    Cited by:

    1. Michaelides, Panayotis G. & Vouldis, Angelos T. & Tsionas, Efthymios G., 2010. "Globally flexible functional forms: The neural distance function," European Journal of Operational Research, Elsevier, vol. 206(2), pages 456-469, October.
    2. Tsionas, Efthymios G. & Papadakis, Emmanuel N., 2010. "A Bayesian approach to statistical inference in stochastic DEA," Omega, Elsevier, vol. 38(5), pages 309-314, October.
    3. Henderson, Heath & Follett, Lendie, 2020. "A Bayesian framework for estimating human capabilities," World Development, Elsevier, vol. 129(C).
    4. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    5. Hampf, Benjamin, 2015. "Estimating the materials balance condition: A stochastic frontier approach," Darmstadt Discussion Papers in Economics 226, Darmstadt University of Technology, Department of Law and Economics.

  206. Tsionas, Efthymios G., 2001. "P-STAR analysis in a converging economy: the case of Greece," Economic Modelling, Elsevier, vol. 18(1), pages 49-60, January.

    Cited by:

    1. Tsionas, Efthymios G. & Lolos, Sarantis E. G. & Christopoulos, Dimitris K., 2003. "The performance of the Greek banking system in view of the EMU: results from a non-parametric approach," Economic Modelling, Elsevier, vol. 20(3), pages 571-592, May.
    2. Melecky, Martin, 2008. "An alternative framework for foreign exchange risk management of sovereign debt," Policy Research Working Paper Series 4458, The World Bank.
    3. Dimitris Christopoulos & Efthymios Tsionas, 2002. "Unemployment and government size: Is there any credible causality?," Applied Economics Letters, Taylor & Francis Journals, vol. 9(12), pages 797-800.

  207. Efthymios Tsionas & Dimitris Christopoulos, 2001. "Efficiency measurement with nonstationary variables: an application of panel cointegration techniques," Economics Bulletin, AccessEcon, vol. 3(14), pages 1-7.

    Cited by:

    1. Jaap W. B. Bos & Bertrand Candelon & Claire Economidou, 2016. "Does knowledge spill over across borders and technology regimes?," Journal of Productivity Analysis, Springer, vol. 46(1), pages 63-82, August.

  208. Dimitris K. Christopoulos & Efthymios G. Tsionas, 2001. "Banking Economic Efficiency In The Deregulation Period: Results From Heteroscedastic Stochastic Frontier Models," Manchester School, University of Manchester, vol. 69(6), pages 656-676, December.

    Cited by:

    1. Aiello, Francesco & Bonanno, Graziella, 2014. "On the Sources of Heterogeneity in Banking Efficiency Literature," MPRA Paper 58591, University Library of Munich, Germany.
    2. Sensarma, Rudra, 2006. "Are foreign banks always the best? Comparison of state-owned, private and foreign banks in India," Economic Modelling, Elsevier, vol. 23(4), pages 717-735, July.
    3. Rezitis, Anthony N., 2008. "Efficiency and productivity effects of bank mergers: Evidence from the Greek banking industry," Economic Modelling, Elsevier, vol. 25(2), pages 236-254, March.
    4. Lowry, Mark Newton & Getachew, Lullit, 2009. "Statistical benchmarking in utility regulation: Role, standards and methods," Energy Policy, Elsevier, vol. 37(4), pages 1323-1330, April.
    5. Tsionas, Efthymios G. & Papadakis, Emmanuel N., 2010. "A Bayesian approach to statistical inference in stochastic DEA," Omega, Elsevier, vol. 38(5), pages 309-314, October.
    6. Georgios D. Papagiannis, 2014. "Measurement of Efficiency in Greek Banking Industries in The Light of the Financial Crisis," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 19-38.
    7. Anthony N. Rezitis, 2006. "Productivity Growth in the Greek Banking Industry: A Non-Parametric Approach," Journal of Applied Economics, Taylor & Francis Journals, vol. 9(1), pages 119-138, May.
    8. Sunil Kumar, 2013. "Banking reforms and the evolution of cost efficiency in Indian public sector banks," Economic Change and Restructuring, Springer, vol. 46(2), pages 143-182, May.
    9. A.I. Dimitras & K. Kosmidou & A.K. Apostolou, 2010. "Bank efficiency estimation and the change of the accounting standards: evidence from Greece," International Journal of Managerial and Financial Accounting, Inderscience Enterprises Ltd, vol. 2(1), pages 20-39.
    10. Nikolaos Mylonidis & Ioanna Kelnikola, 2005. "Merging activity in the Greek Banking System: A Financial Accounting Perspective," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 3(1), pages 121-144.
    11. Lakshmi Balasubramanyan & Spiro Stefanou & Jeffrey Stokes, 2012. "An entropy approach to size and variance heterogeneity in U.S. commercial banks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(3), pages 728-749, July.
    12. Francesco Aiello & Graziella Bonanno, 2016. "Efficiency in banking: a meta-regression analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 112-149, January.
    13. Panagiotis Tziogkidis & Kent Matthews & Dionisis Philippas, 2018. "The effects of sector reforms on the productivity of Greek banks: a step-by-step analysis of the pre-Euro era," Annals of Operations Research, Springer, vol. 266(1), pages 531-549, July.
    14. Pasiouras, Fotios, 2008. "Estimating the technical and scale efficiency of Greek commercial banks: The impact of credit risk, off-balance sheet activities, and international operations," Research in International Business and Finance, Elsevier, vol. 22(3), pages 301-318, September.
    15. Pavlos Almanidis & Mustafa U. Karakaplan & Levent Kutlu, 2019. "A dynamic stochastic frontier model with threshold effects: U.S. bank size and efficiency," Journal of Productivity Analysis, Springer, vol. 52(1), pages 69-84, December.
    16. Giorgos Argitis & Stella Michopoulou, 2013. "Studies in Financial Systems No 4 Financialization and the Greek Financial System," FESSUD studies fstudy04, Financialisation, Economy, Society & Sustainable Development (FESSUD) Project.
    17. Halkos, George & Tzeremes, Nickolaos, 2011. "A conditional full frontier approach for investigating the Averch-Johnson effect," MPRA Paper 35491, University Library of Munich, Germany.
    18. Halkos, George E. & Tzeremes, Nickolaos G., 2013. "Estimating the degree of operating efficiency gains from a potential bank merger and acquisition: A DEA bootstrapped approach," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1658-1668.

  209. Tsionas, Efthymios G. & Loizides, John, 2001. "A note on joint estimation of scale economies and productivity growth parameters," International Journal of Production Economics, Elsevier, vol. 70(1), pages 37-43, March.

    Cited by:

    1. Anna Bottasso & Maurizio Conti & Massimiliano Piacenza & Davide Vannoni, 2010. "The Appropriateness of the Poolability Assumption for Multiproduct Technologies: Evidence from the English Water and Sewerage Utilities," Carlo Alberto Notebooks 183, Collegio Carlo Alberto.

  210. Halkos, George E. & Tsionas, Efthymios G., 2001. "Environmental Kuznets curves: Bayesian evidence from switching regime models," Energy Economics, Elsevier, vol. 23(2), pages 191-210, March.

    Cited by:

    1. Islam, Faridul & Shahbaz , Muhammad & Butt, Muhammad Sabihuddin, 2013. "Is There an Environmental Kuznets Curve for Bangladesh? Evidence from ARDL Bounds Testing Approach," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 36(4), pages 1-23, December.
    2. Halkos, George & Paizanos, Epameinondas, 2015. "Environmental Macroeconomics: A critical literature review and future empirical research directions," MPRA Paper 67432, University Library of Munich, Germany.
    3. Thomas Jobert & Fatih Karanfil & Anna Tykhonenko, 2012. "Trade and Environment: Further Empirical Evidence from Heterogeneous Panels Using Aggregate Data," GREDEG Working Papers 2012-15, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    4. Sebri, Maamar, 2009. "La Zone Méditerranéenne Face à la Pollution de L’air : Une Investigation Econométrique [The Mediterranean Zone in front of Air pollution: an Econometric Investigation]," MPRA Paper 32382, University Library of Munich, Germany.
    5. Halkos, George & Petrou, Kleoniki Natalia, 2017. "Regional environmental efficiency in waste generation," MPRA Paper 81237, University Library of Munich, Germany.
    6. George Halkos & Iacovos Psarianos, 2016. "Exploring the effect of including the environment in the neoclassical growth model," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 18(3), pages 339-358, July.
    7. Galeotti, Marzio & Lanza, Alessandro & Pauli, Francesco, 2006. "Reassessing the environmental Kuznets curve for CO2 emissions: A robustness exercise," Ecological Economics, Elsevier, vol. 57(1), pages 152-163, April.
    8. Socolow, Robert & Pacala, Stephen W. & Tol, Richard S.J., 2006. "Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the USA," Climate Change Modelling and Policy Working Papers 12043, Fondazione Eni Enrico Mattei (FEEM).
    9. Lisa Gianmoena & Vicente Rios, 2018. "The Determinants of CO2 Emissions Differentials with Cross-Country Interaction Effects: A Dynamic Spatial Panel Data Bayesian Model Averaging Approach," Discussion Papers 2018/234, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    10. Diallo, Ibrahima Amadou, 2014. "The environmental Kuznets curve in a public spending model of economic growth," MPRA Paper 56528, University Library of Munich, Germany.
    11. Zha, DongLan & Zhou, DeQun & Ding, Ning, 2012. "The determinants of aggregated electricity intensity in China," Applied Energy, Elsevier, vol. 97(C), pages 150-156.
    12. Ernesto Aguayo-T鬬ez & Jos頍art󹑺-Navarro, 2013. "Internal and international migration in Mexico: 1995--2000," Applied Economics, Taylor & Francis Journals, vol. 45(13), pages 1647-1661, May.
    13. Halkos, George & Polemis, Michael, 2016. "Examining the impact of financial development on the environmental Kuznets curve hypothesis," MPRA Paper 75368, University Library of Munich, Germany.
    14. Yang, Guangfei & Sun, Tao & Wang, Jianliang & Li, Xianneng, 2015. "Modeling the nexus between carbon dioxide emissions and economic growth," Energy Policy, Elsevier, vol. 86(C), pages 104-117.
    15. Pandelis Mitsis, 2012. "Is there an Environmental Kuznets Curve in the Carbon Dioxide Emissions?," University of Cyprus Working Papers in Economics 16-2012, University of Cyprus Department of Economics.
    16. Halkos, George & Managi, Shunsuke, 2023. "New developments in the disciplines of environmental and resource economics," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 513-522.
    17. Esteve, Vicente & Tamarit, Cecilio, 2012. "Threshold cointegration and nonlinear adjustment between CO2 and income: The Environmental Kuznets Curve in Spain, 1857–2007," Energy Economics, Elsevier, vol. 34(6), pages 2148-2156.
    18. Inmaculada Martinez‐Zarzoso & Antonello Maruotti, 2013. "The environmental Kuznets curve: functional form, time‐varying heterogeneity and outliers in a panel setting," Environmetrics, John Wiley & Sons, Ltd., vol. 24(7), pages 461-475, November.
    19. Khalfaoui, Rabeh & Tiwari, Aviral Kumar & Khalid, Usman & Shahbaz, Muhammad, 2021. "Nexus between Carbon Dioxide Emissions and Economic Growth in G7 Countries: Fresh Insights via Wavelet Coherence Analysis," MPRA Paper 109276, University Library of Munich, Germany, revised 18 Aug 2021.
    20. Atwi, Majed & Barberán, Ramón & Mur, Jesús & Angulo, Ana, 2018. "CO2 Kuznets Curve Revisited: From Cross-Sections to Panel Data Models," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 40, pages 169-196.
    21. Dutta, Champa Bati & Das, Debasish Kumar, 2016. "Does disaggregated CO2 emission matter for growth? Evidence from thirty countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 825-833.
    22. Thomas Jobert & Fatih Karanfil, 2012. "Formation and deformation of the environmental Kuznets curve for CO2 emissions," Post-Print hal-01410699, HAL.
    23. Christopoulos, Dimitris K. & Tsionas, Efthymios G., 2002. "Allocative inefficiency and the capital-energy controversy," Energy Economics, Elsevier, vol. 24(4), pages 305-318, July.
    24. Ekonomou, George & Halkos, George, 2023. "Is tourism growth a power of environmental‘de -degradation’? An empirical analysis for Eurozone economic space," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1016-1029.
    25. Balsalobre-Lorente, Daniel & Shahbaz, Muhammad & Roubaud, David & Farhani, Sahbi, 2018. "How economic growth, renewable electricity and natural resources contribute to CO2 emissions?," Energy Policy, Elsevier, vol. 113(C), pages 356-367.
    26. Joe-Ming Lee & Ku-Hsieh Chen & Chin-Ho Cho, 2015. "The Relationship Between Co2 Emissions And Financial Development," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(05), pages 1-21, December.
    27. Orubu, Christopher O. & Omotor, Douglason G., 2011. "Environmental quality and economic growth: Searching for environmental Kuznets curves for air and water pollutants in Africa," Energy Policy, Elsevier, vol. 39(7), pages 4178-4188, July.
    28. Jeong Hwan Bae, 2014. "Supply Portfolio of Bioethanol in the Republic of Korea," Korean Economic Review, Korean Economic Association, vol. 30, pages 133-161.
    29. Christoph Lieb, 2004. "The Environmental Kuznets Curve and Flow versus Stock Pollution: The Neglect of Future Damages," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 29(4), pages 483-506, December.
    30. Zilio, Mariana & Recalde, Marina, 2011. "GDP and environment pressure: The role of energy in Latin America and the Caribbean," Energy Policy, Elsevier, vol. 39(12), pages 7941-7949.
    31. Halkos, George & Psarianos, Iacovos, 2015. "The effect of including the environment in the neoclassical growth model," MPRA Paper 68050, University Library of Munich, Germany.
    32. Inmaculada Martínez-Zarzoso & Aurelia Bengochea-Morancho, 2003. "Testing for an environmental Kuznets curve in Latin-American countries," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 18(1), pages 3-26, June.
    33. Wang, Jing & Rickman, Dan S. & Yu, Yihua, 2022. "Dynamics between global value chain participation, CO2 emissions, and economic growth: Evidence from a panel vector autoregression model," Energy Economics, Elsevier, vol. 109(C).
    34. Sugiawan, Yogi & Managi, Shunsuke, 2016. "The environmental Kuznets curve in Indonesia: Exploring the potential of renewable energy," Energy Policy, Elsevier, vol. 98(C), pages 187-198.
    35. Tom Verbeke & M. De Clercq, 2003. "The income-environment relationship: Does a logit model offer an alternative empirical strategy?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 03/192, Ghent University, Faculty of Economics and Business Administration.
    36. Daniel Balsalobre‐Lorente & Oana M. Driha & George Halkos & Shekhar Mishra, 2022. "Influence of growth and urbanization on CO2 emissions: The moderating effect of foreign direct investment on energy use in BRICS," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 227-240, February.
    37. Jie He, 2007. "Is the Environmental Kuznets Curve hypothesis valid for developing countries? A survey," Cahiers de recherche 07-03, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    38. Miguel Rodríguez & Yolanda Pena-Boquete, 2013. "Mishandling carbon intensities," Working Papers 1302, Universidade de Vigo, Departamento de Economía Aplicada.
    39. Kurniawan, Robi & Managi, Shunsuke, 2018. "Coal consumption, urbanization, and trade openness linkage in Indonesia," Energy Policy, Elsevier, vol. 121(C), pages 576-583.
    40. Roxana Pincheira & Felipe Zuniga & Pablo Neudorfer, 2021. "Carbon Kuznets curve: a dynamic empirical approach for a panel data," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(4), pages 5523-5541, December.
    41. Thomas Jobert & Fatih Karanfil & Anna Tykhonenko, 2014. "Estimating country-specific environmental Kuznets curves from panel data: a Bayesian shrinkage approach," Applied Economics, Taylor & Francis Journals, vol. 46(13), pages 1449-1464, May.
    42. Xiaosheng Li & Xia Yan & Qingxian An & Ke Chen & Zhen Shen, 2016. "The coordination between China’s economic growth and environmental emission from the Environmental Kuznets Curve viewpoint," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 233-252, August.
    43. George E. Halkos & Michael L. Polemis, 2017. "Does Financial Development Affect Environmental Degradation? Evidence from the OECD Countries," Business Strategy and the Environment, Wiley Blackwell, vol. 26(8), pages 1162-1180, December.
    44. Verbeke, Tom & De Clercq, Marc, 2006. "The income-environment relationship: Evidence from a binary response model," Ecological Economics, Elsevier, vol. 59(4), pages 419-428, October.
    45. Dinda, Soumyananda, 2004. "Environmental Kuznets Curve Hypothesis: A Survey," Ecological Economics, Elsevier, vol. 49(4), pages 431-455, August.
    46. Mikkel Bennedsen & Eric Hillebrand & Sebastian Jensen, 2022. "A Neural Network Approach to the Environmental Kuznets Curve," CREATES Research Papers 2022-09, Department of Economics and Business Economics, Aarhus University.
    47. Muhammad Shahbaz & Samia Nasreen & Ilhan Ozturk, 2016. "FDI, Growth and CO2 Emissions Relationship: Evidence from High, Middle and Low Income Countries," Bulletin of Energy Economics (BEE), The Economics and Social Development Organization (TESDO), vol. 4(1), pages 54-69, March.
    48. George E. Halkos & Shunsuke Managi, 2017. "Measuring the Effect of Economic Growth on Countries’ Environmental Efficiency: A Conditional Directional Distance Function Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 753-775, November.

  211. Tsionas, Efthymios G., 2001. "Euro-land: any good for the European South?," Journal of Policy Modeling, Elsevier, vol. 23(1), pages 67-81, January.

    Cited by:

    1. Tim Bulman & John Simon, 2003. "Productivity and Inflation," RBA Research Discussion Papers rdp2003-10, Reserve Bank of Australia.
    2. Efthymios Tsionas, 2001. "Regional Convergence and Common, Stochastic Long-run Trends: A Re-examination of the US Regional Data," Regional Studies, Taylor & Francis Journals, vol. 35(8), pages 689-696.

  212. Efthymios Tsionas, 2001. "Regional Convergence and Common, Stochastic Long-run Trends: A Re-examination of the US Regional Data," Regional Studies, Taylor & Francis Journals, vol. 35(8), pages 689-696.

    Cited by:

    1. Josep Lluis Carrion-I-Silvestre & Vicente German-Soto, 2007. "Stochastic Convergence amongst Mexican States," Regional Studies, Taylor & Francis Journals, vol. 41(4), pages 531-541.
    2. Josep Carrion-i-Silvestre & Vicente German-Soto, 2010. "Stochastic convergence in the industrial sector of the Mexican states," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(3), pages 547-570, December.
    3. Melanie Rapino & Benjamin Spaulding & Dean M. Hanink, 2006. "Have Per Capita Earnings and Income Converged across New England?," Growth and Change, Wiley Blackwell, vol. 37(4), pages 620-637, December.
    4. Mark J. Holmes & Jesús Otero & Theodore Panagiotidis, 2013. "A Note on the Extent of US Regional Income Convergence," Working Paper series 10_13, Rimini Centre for Economic Analysis.
    5. Nicky Rogge, 2019. "Regional productivity growth in the EU since 2000: something is better than nothing," Empirical Economics, Springer, vol. 56(2), pages 423-444, February.
    6. Alexiadis, Stilianos & Eleftheriou, Konstantinos, 2010. "The Morphology of Income Convergence in US States: New Evidence using an Error-Correction-Model," MPRA Paper 20096, University Library of Munich, Germany.
    7. Daly, Vince & Li, Hong, 2003. "Time series tests of convergence of Chinese regional and provincial economic performance," Economics Discussion Papers 2003-10, School of Economics, Kingston University London.
    8. Weber, William L. & Domazlicky, Bruce R., 2006. "Capital Deepening and Manufacturing's Contribution to Regional Economic Convergence," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 36(1), pages 1-14.
    9. Dimitris K. Christopoulos & Efthymios G. Tsionas, 2007. "Are Regional Incomes in the USA Converging? A Non-linear Perspective," Regional Studies, Taylor & Francis Journals, vol. 41(4), pages 525-530.
    10. Magrini, Stefano, 2004. "Regional (di)convergence," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 62, pages 2741-2796, Elsevier.

  213. Tsionas, Efthymios G., 2000. "Bayesian model comparison by Markov chain simulation: Illustration using stock market data," Research in Economics, Elsevier, vol. 54(4), pages 403-416, December.

    Cited by:

    1. Thomas Brenner & Claudia Werker, 2006. "A Practical Guide to Inference in Simulation Models," Papers on Economics and Evolution 2006-02, Philipps University Marburg, Department of Geography.
    2. Thomas Brenner & Claudia Werker, 2007. "A Taxonomy of Inference in Simulation Models," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 227-244, October.

  214. Efthymios Tsionas, 2000. "Regional Growth and Convergence: Evidence from the United States," Regional Studies, Taylor & Francis Journals, vol. 34(3), pages 231-238.

    Cited by:

    1. Gianfranco DI VAIO & Michele BATTISTI, 2010. "A Spatially-Filtered Mixture of Beta-Convergence Regression for EU Regions, 1980-2002," Regional and Urban Modeling 284100013, EcoMod.
    2. Josep Lluis Carrion-I-Silvestre & Vicente German-Soto, 2007. "Stochastic Convergence amongst Mexican States," Regional Studies, Taylor & Francis Journals, vol. 41(4), pages 531-541.
    3. Michael Beenstock & Daniel Felsenstein, 2003. "Decomposing the Dynamics of Regional Earnings Disparities in Israel," ERSA conference papers ersa03p90, European Regional Science Association.
    4. Xinyue Ye & Sergio Rey, 2013. "A framework for exploratory space-time analysis of economic data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 315-339, February.
    5. Efthymios Tsionas, 2002. "Another Look at Regional Convergence in Greece," Regional Studies, Taylor & Francis Journals, vol. 36(6), pages 603-609.
    6. Andrew T Young & Matthew J Higgins & Daniel Levy, 2008. "Sigma Convergence versus Beta Convergence: Evidence from U.S. County-Level Data," Post-Print hal-02387475, HAL.
    7. Dukhabandhu Sahoo & Diptimayee Mishra & Auro Kumar Sahoo & Phendulwa Zikhona Makunga & Jayanti Behera, 2020. "Regional and subregional analyses of macroeconomic policy strategies for growth and equality in Southern Africa," WIDER Working Paper Series wp-2020-176, World Institute for Development Economic Research (UNU-WIDER).
    8. Tamas Dusek, 2006. "Regional Income Differences in Hungary - A Multi-Level Spatio-Temporal Analysis," ERSA conference papers ersa06p284, European Regional Science Association.
    9. Spyridon Tsangaris & Anastasios Xepapadeas & Athanasios Yannacopoulos, 2022. "Spatial externalities, R&D spillovers, and endogenous technological change," DEOS Working Papers 2225, Athens University of Economics and Business.
    10. Johnson, Paul & Papageorgiou, Chris, 2018. "What Remains of Cross-Country Convergence?," MPRA Paper 89355, University Library of Munich, Germany.
    11. Lawrence A. Brown & Sang-Il Lee & Linda Lobao & Su-Yeul Chung, 2005. "Continuity amidst Restructuring: The U.S. Gender Division of Labor in Geographic Perspective, 1970 and 1990," International Regional Science Review, , vol. 28(3), pages 271-301, July.
    12. Michael Beenstock & Daniel Felsenstein, 2008. "Regional Heterogeneity, Conditional Convergence and Regional Inequality," Regional Studies, Taylor & Francis Journals, vol. 42(4), pages 475-488.
    13. Roberto Zelli & Maria Grazia Pittau, 2006. "Empirical evidence of income dynamics across EU regions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 605-628.
    14. Mariarosaria Comunale & Anh Dinh Minh Nguyen & Soroosh Soofi-Siavash, 2019. "Convergence and growth decomposition: an analysis on Lithuania," Bank of Lithuania Discussion Paper Series 17, Bank of Lithuania.
    15. Gianfranco Di Vaio & Kerstin Enflo, 2009. "Did Globalization Lead to Segmentation? Identifying Cross-Country Growth Regimes in the Long-Run," Discussion Papers 09-08, University of Copenhagen. Department of Economics.
    16. Pittau, Maria Grazia & Zelli, Roberto & Johnson, Paul, "undated". "Mixture Models and Convergence Clubs," Vassar College Department of Economics Working Paper Series 91, Vassar College Department of Economics.
    17. Sarah J. Carrington & Pablo Jiménez‐Ayora, 2021. "Shedding light on the convergence debate: Using luminosity data to investigate economic convergence in Ecuador," Review of Development Economics, Wiley Blackwell, vol. 25(1), pages 200-227, February.
    18. Michele Battisti & Michael S. Delgado & Christopher F. Parmeter, 2013. "Evolution of the Global Distribution of Carbon Dioxide: A Finite Mixture Analysis," Working Papers 2013-10, University of Miami, Department of Economics.
    19. Kimolo, Deogratius & Mrema, Stanislaus, 2019. "Real Exchange Rate Misalignments in Tanzania," MPRA Paper 114672, University Library of Munich, Germany.
    20. Nicky Rogge, 2019. "Regional productivity growth in the EU since 2000: something is better than nothing," Empirical Economics, Springer, vol. 56(2), pages 423-444, February.
    21. García Callejas, Danny, 2011. "Per Capita GDP Convergence in South America, 1960-2007," Borradores Departamento de Economía 8983, Universidad de Antioquia, CIE.
    22. Di Vaio, Gianfranco & Enflo, Kerstin, 2011. "Did globalization drive convergence? Identifying cross-country growth regimes in the long run," European Economic Review, Elsevier, vol. 55(6), pages 832-844, August.
    23. Tiiu Paas & Friso Schittle & Andres Kuusk, 2000. "Modelling Regional Income Convergence in EU-25," Regional and Urban Modeling 283600067, EcoMod.
    24. Up Lim, 2016. "Regional income club convergence in US BEA economic areas: a spatial switching regression approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 273-294, January.
    25. Weber, William L. & Domazlicky, Bruce R., 2006. "Capital Deepening and Manufacturing's Contribution to Regional Economic Convergence," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 36(1), pages 1-14.
    26. George Hammond & Eric Thompson, 2002. "Mobility and Modality Trends in US State Personal Income," Regional Studies, Taylor & Francis Journals, vol. 36(4), pages 375-387.
    27. Gianfranco Di Vaio & Kerstin Enflo, 2009. "Did globalisation lead to segmentation? Identifying cross-country growth regimes in the long-run, 1870-2003," Working Papers 9013, Economic History Society.
    28. Alberto Díaz Dapena & Fernando Rubiera Morollón & Dusan Paredes Araya, 2017. "Are there different local patterns of convergence concealed beneath the regional level? An analysis for US states and counties using a multilevel approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(3), pages 623-640, May.
    29. Maria Grazia Pittau, 2005. "Fitting Regional Income Distributions in the European Union," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(2), pages 135-161, April.
    30. Roberto Ezcurra & Carlos Gil & Pedro Pascual & Manuel Rapun, 2005. "Inequality, Polarisation and Regional Mobility in the European Union," Urban Studies, Urban Studies Journal Limited, vol. 42(7), pages 1057-1076, June.
    31. Bentzen, Jan & Smith, Valdemar, 2003. "Regional income convergence in the Scandinavian countries," Working Papers 03-20, University of Aarhus, Aarhus School of Business, Department of Economics.
    32. Gyawali, Buddhi Raj & Fraser, Rory & Banerjee, Ban & Bukenya, James O., 2009. "Income Convergence and Growth in Alabama: Evidence from Sub-county Level Data," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46713, Southern Agricultural Economics Association.
    33. Alberto Díaz Dapena & Fernando Rubiera Morollón & Dusan Paredes Araya, 2014. "Are there different convergence local behaviors hidden under the regional level? An analysis for the US States and counties with multilevel approach," Documentos de Trabajo en Economia y Ciencia Regional 47, Universidad Catolica del Norte, Chile, Department of Economics, revised Jul 2017.
    34. Efthymios Tsionas, 2001. "Regional Convergence and Common, Stochastic Long-run Trends: A Re-examination of the US Regional Data," Regional Studies, Taylor & Francis Journals, vol. 35(8), pages 689-696.
    35. Up Lim, 2016. "Regional income club convergence in US BEA economic areas: a spatial switching regression approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 273-294, January.
    36. Maria Grazia Pittau & Roberto Zelli & Paul A. Johnson, 2010. "Mixture Models, Convergence Clubs, And Polarization," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(1), pages 102-122, March.
    37. Sergio J. Rey, 2001. "Spatial Dependence in the Evolution of Regional Income Distributions," Urban/Regional 0105001, University Library of Munich, Germany.
    38. Sergio J. Rey & Mark V. Janikas, 2005. "Regional convergence, inequality, and space," Journal of Economic Geography, Oxford University Press, vol. 5(2), pages 155-176, April.
    39. Michael Beenstock & Daniel Felsenstein, 2005. "Regional Heterogenity and Conditional Convergence," ERSA conference papers ersa05p307, European Regional Science Association.
    40. Meng Sun & Yue Zhang & Yaqi Hu & Jiayi Zhang, 2022. "Spatial Convergence of Carbon Productivity: Theoretical Analysis and Chinese Experience," IJERPH, MDPI, vol. 19(8), pages 1-19, April.
    41. Stefano Magrini & Margherita Gerolimetto & Hasan Engin Duran, 2011. "Distortions in Cross-Sectional Convergence Analysis when the Aggregate Business Cycle is Incomplete," Working Papers 2011_07, Department of Economics, University of Venice "Ca' Foscari".
    42. Sergio J. Rey & Mark V. Janikas, 2003. "Convergence and space," Urban/Regional 0311002, University Library of Munich, Germany, revised 16 Nov 2003.
    43. Michael Beenstock & Daniel Felsenstein, 2007. "Mobility and Mean Reversion in the Dynamics of Regional Inequality," International Regional Science Review, , vol. 30(4), pages 335-361, October.
    44. Ensar Yılmaz & Zeynep Kaplan, 2022. "Regional polarization in Turkey," Growth and Change, Wiley Blackwell, vol. 53(1), pages 410-431, March.

  215. Efthymios Tsionas, 2000. "Real convergence in Europe. How robust are econometric inferences?," Applied Economics, Taylor & Francis Journals, vol. 32(11), pages 1475-1482.

    Cited by:

    1. Helmut Lütkepohl & Ralf Brüggemann, 2006. "A small monetary system for the euro area based on German data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 683-702.
    2. Massimiliano Affinito, 2011. "Convergence clubs, the euro-area rank and the relationship between banking and real convergence," Temi di discussione (Economic working papers) 809, Bank of Italy, Economic Research and International Relations Area.
    3. Lau, Evan & Lee, Koon Po, 2007. "Interdependence of Income between China and ASEAN-5 Countries," MPRA Paper 2231, University Library of Munich, Germany.
    4. Tsionas, Efthymios G., 2001. "P-STAR analysis in a converging economy: the case of Greece," Economic Modelling, Elsevier, vol. 18(1), pages 49-60, January.
    5. Vasco M. Carvalho & Andrew C. Harvey, 2005. "Convergence in the trends and cycles of Euro‐zone income," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 275-289.
    6. Sergio J. Rey & Boris Dev, 2004. "Sigma-convergence in the presence of spatial effects," Urban/Regional 0404008, University Library of Munich, Germany, revised 22 Apr 2004.
    7. Kian-Ping Lim & M. Azali & Hock-Ann Lee, 2005. "Income Disparity between Japan and ASEAN-5 Economies: Converge, Catching Up or Diverge?," Economics Bulletin, AccessEcon, vol. 6(13), pages 1-20.
    8. Uzma Zia, 2019. "An Evidence of Diverging SAARC Economies," PIDE-Working Papers 2019:170, Pakistan Institute of Development Economics.
    9. Kenichi SHIMAMOTO, 2017. "Examining The Existence Of Co2 Emission Per Capita Convergence In East Asia," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 11-28, December.
    10. Eckey, Hans-Friedrich & Türck, Matthias, 2005. "Convergence of EU-regions: A literature report," Volkswirtschaftliche Diskussionsbeiträge 80, University of Kassel, Faculty of Economics and Management.
    11. Sergio J. Rey & Mark V. Janikas, 2003. "Convergence and space," Urban/Regional 0311002, University Library of Munich, Germany, revised 16 Nov 2003.
    12. Nicholas Apergis & Puja Padhi, 2013. "Health expenses and economic growth: convergence dynamics across the Indian States," International Journal of Health Economics and Management, Springer, vol. 13(3), pages 261-277, December.

  216. Efthymios G. Tsionas, 2000. "Productivity Convergence in Europe," Eastern Economic Journal, Eastern Economic Association, vol. 26(3), pages 297-320, Summer.

    Cited by:

    1. Tsionas, Efthymios G. & Christopoulos, Dimitris K., 2003. "Maastricht convergence and real convergence: European evidence from threshold and smooth transition regression models," Journal of Policy Modeling, Elsevier, vol. 25(1), pages 43-52, January.
    2. Scott W. Hegerty, 2016. "Regional Convergence and Growth Clusters in Central and Eastern Europe: An Examination of Sectoral-Level Data," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 2(2), pages 95-110.
    3. Tsionas, Efthymios G., 2001. "P-STAR analysis in a converging economy: the case of Greece," Economic Modelling, Elsevier, vol. 18(1), pages 49-60, January.
    4. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    5. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    6. Sondermann, David, 2012. "Productivity in the euro area: any evidence of convergence?," Working Paper Series 1431, European Central Bank.
    7. Martin Boďa & Mariana Považanová, 2020. "Productivity patterns in Europe: adaptation of the Malmquist index to measuring group performance and productivity change over time," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(4), pages 949-989, November.

  217. Efthymios Tsionas, 2000. "Full Likelihood Inference in Normal-Gamma Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 13(3), pages 183-205, May.

    Cited by:

    1. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.
    2. A. Tonini, 2012. "A Bayesian stochastic frontier: an application to agricultural productivity growth in European countries," Economic Change and Restructuring, Springer, vol. 45(4), pages 247-269, November.
    3. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    4. Caroline Khan & Mike G. Tsionas, 2021. "Constraints in models of production and cost via slack-based measures," Empirical Economics, Springer, vol. 61(6), pages 3347-3374, December.
    5. Michaelides, Panayotis G. & Vouldis, Angelos T. & Tsionas, Efthymios G., 2010. "Globally flexible functional forms: The neural distance function," European Journal of Operational Research, Elsevier, vol. 206(2), pages 456-469, October.
    6. Ho-chuan Huang, 2004. "Estimation of Technical Inefficiencies with Heterogeneous Technologies," Journal of Productivity Analysis, Springer, vol. 21(3), pages 277-296, May.
    7. Guarini, Giulio & Laureti, Tiziana & Garofalo, Giuseppe, 2020. "Socio-institutional determinants of educational resource efficiency according to the capability approach: An endogenous stochastic frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    8. Griffin, J. E. & Steel, M. F. J., 2004. "Semiparametric Bayesian inference for stochastic frontier models," Journal of Econometrics, Elsevier, vol. 123(1), pages 121-152, November.
    9. Koop G., 2002. "Comparing the Performance of Baseball Players: A Multiple-Output Approach," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 710-720, September.
    10. Jim Griffin & Mark Steel, 2005. "Bayesian Stochastic Frontier Analysis Using WinBUGS," Econometrics 0509004, University Library of Munich, Germany.
    11. James M. Sfiridis & Kenneth N. Daniels, 2004. "The Relative Cost Efficiency of Stock versus Mutual Thrifts: A Bayesian Approach," The Financial Review, Eastern Finance Association, vol. 39(1), pages 153-179, February.
    12. Efthymios G. Tsionas & Panayotis G. Michaelides, 2016. "A Spatial Stochastic Frontier Model with Spillovers: Evidence for Italian Regions," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(3), pages 243-257, July.
    13. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.
    14. Simos G. Meintanis & Christos K. Papadimitriou, 2022. "Goodness--of--fit tests for stochastic frontier models based on the characteristic function," Journal of Productivity Analysis, Springer, vol. 57(3), pages 285-296, June.
    15. Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.
    16. Vouldis, Angelos T. & Michaelides, Panayotis G. & Tsionas, Efthymios G., 2010. "Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML," Economic Modelling, Elsevier, vol. 27(3), pages 697-704, May.
    17. William Greene, 2003. "Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function," Journal of Productivity Analysis, Springer, vol. 19(2), pages 179-190, April.
    18. Carta, Alessandro & Steel, Mark F.J., 2012. "Modelling multi-output stochastic frontiers using copulas," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3757-3773.
    19. Tsionas, Mike G., 2021. "Optimal combinations of stochastic frontier and data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 294(2), pages 790-800.
    20. Tsionas, Efthymios G., 2012. "Maximum likelihood estimation of stochastic frontier models by the Fourier transform," Journal of Econometrics, Elsevier, vol. 170(1), pages 234-248.
    21. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022. "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, vol. 62(3), pages 1345-1363, March.
    22. Preciado Arreola, José Luis & Johnson, Andrew L. & Chen, Xun C. & Morita, Hiroshi, 2020. "Estimating stochastic production frontiers: A one-stage multivariate semiparametric Bayesian concave regression method," European Journal of Operational Research, Elsevier, vol. 287(2), pages 699-711.
    23. Greene, William, 2001. "New Developments in the Estimation of Stochastic Frontier Models with Panel Data," Efficiency Series Papers 2001/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    24. Delis, Manthos & Iosifidi, Maria & Tsionas, Mike G, 2017. "Endogenous bank risk and efficiency," European Journal of Operational Research, Elsevier, vol. 260(1), pages 376-387.
    25. Lambarraa, Fatima, 2011. "Dynamic Efficiency Analysis of Spanish Outdoor and Greenhouse Horticulture Sector," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114408, European Association of Agricultural Economists.
    26. Tonini, Axel & Matus, Silvia Saravia & Gomez y Paloma, Sergio, 2011. "A Bayesian Total Factor Productivity Analysis of Tropical Agricultural Systems in Central-Western Africa And South-East Asia," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 116088, European Association of Agricultural Economists.
    27. Lambarraa, Fatima, 2012. "The Spanish Horticulture Sector: A dynamic efficiency analysis of Outdoor and Greenhouse farms," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126797, International Association of Agricultural Economists.

  218. Efthymios Tsionas & George Halkos, 2000. "Posterior Analysis of Environmental Damage Evaluation in Europe," International Review of Applied Economics, Taylor & Francis Journals, vol. 14(3), pages 371-390.

    Cited by:

    1. Dimitris K. Christopoulos & Efthymios G. Tsionas, 2005. "Productivity growth and inflation in Europe: Evidence from panel cointegration tests," Empirical Economics, Springer, vol. 30(1), pages 137-150, January.
    2. Dimitris Christopoulos & Efthymios Tsionas, 2002. "Unemployment and government size: Is there any credible causality?," Applied Economics Letters, Taylor & Francis Journals, vol. 9(12), pages 797-800.
    3. Dimitris Christopoulos & John Loizides & Efthymios Tsionas, 2005. "The Abrams curve of government size and unemployment: evidence from panel data," Applied Economics, Taylor & Francis Journals, vol. 37(10), pages 1193-1199.

  219. Tsionas, Efthymios G., 1998. "Monte Carlo inference in econometric models with symmetric stable disturbances," Journal of Econometrics, Elsevier, vol. 88(2), pages 365-401, November.

    Cited by:

    1. Tsionas, Efthymios G., 2001. "Euro-land: any good for the European South?," Journal of Policy Modeling, Elsevier, vol. 23(1), pages 67-81, January.
    2. Eric French & John Bailey Jones, 2002. "On the distribution and dynamics of health costs," Working Paper Series WP-02-21, Federal Reserve Bank of Chicago.
    3. Marco J. Lombardi, 2004. "Bayesian inference for alpha-stable distributions: a random walk MCMC approach," Econometrics Working Papers Archive wp2004_11, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    4. Marco J. Lombardi & Simon J. Godsill, 2004. "On-line Bayesian estimation of AR signals in symmetric alpha-stable noise," Econometrics Working Papers Archive wp2004_05, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    5. Tsionas, Efthymios G., 2000. "Bayesian model comparison by Markov chain simulation: Illustration using stock market data," Research in Economics, Elsevier, vol. 54(4), pages 403-416, December.
    6. Efthymios Tsionas, 2003. "Inflation and Productivity in Europe: An Empirical Investigation," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 30(1), pages 39-62, March.
    7. Efthymios Tsionas & George Halkos, 2000. "Posterior Analysis of Environmental Damage Evaluation in Europe," International Review of Applied Economics, Taylor & Francis Journals, vol. 14(3), pages 371-390.
    8. Halkos, George E. & Tsionas, Efthymios G., 2001. "Environmental Kuznets curves: Bayesian evidence from switching regime models," Energy Economics, Elsevier, vol. 23(2), pages 191-210, March.
    9. Unnikrishnan, N.K., 2010. "Bayesian analysis for outliers in survey sampling," Computational Statistics & Data Analysis, Elsevier, vol. 54(8), pages 1962-1974, August.
    10. Efthymios Tsionas, 2001. "Regional Convergence and Common, Stochastic Long-run Trends: A Re-examination of the US Regional Data," Regional Studies, Taylor & Francis Journals, vol. 35(8), pages 689-696.

Chapters

  1. Efthymios G. Tsionas, 2014. "International Financial Stability," Financial and Monetary Policy Studies, in: The Euro and International Financial Stability, edition 127, chapter 0, pages 153-163, Springer.

    Cited by:

    1. Anton, Roman, 2015. "Monetary Development and Transmission in the Eurosystem," MPRA Paper 67323, University Library of Munich, Germany, revised 08 Oct 2015.

  2. Helen Louri & Costas Peppas & Efthymios Tsionas, 2006. "Foreign Presence, Technical Efficiency and Firm Survival in Greece: A Simultaneous Equation Model with Latent Variables Approach," International Studies in Entrepreneurship, in: Enrico Santarelli (ed.), Entrepreneurship, Growth, and Innovation, chapter 0, pages 199-221, Springer.
    See citations under working paper version above.

Books

  1. Efthymios G. Tsionas, 2014. "The Euro and International Financial Stability," Financial and Monetary Policy Studies, Springer, edition 127, number 978-3-319-01171-4, March.

    Cited by:

    1. Anton, Roman, 2015. "Monetary Development and Transmission in the Eurosystem," MPRA Paper 67323, University Library of Munich, Germany, revised 08 Oct 2015.

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