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Kien C. Tran

Not to be confused with: Kien Nhuan Tran

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.

Working papers

  1. 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).

  2. Firat Bilgel & Kien C Tran, 2011. "The Determinants of Canadian Provincial Health Expenditures: Evidence from a Dynamic Panel," Post-Print hal-00732526, HAL.

    Cited by:

    1. Edward Nketiah-Amponsah, 2019. "The Impact of Health Expenditures on Health Outcomes in Sub-Saharan Africa," Journal of Developing Societies, , vol. 35(1), pages 134-152, March.
    2. Lau, Marco Chi Keung & Fung, Ka Wai Terence, 2013. "Convergence in Health Care Expenditure of 14 EU Countries: New Evidence from Non-linear Panel Unit Root Test," MPRA Paper 52871, University Library of Munich, Germany.
    3. Bose, Srimoyee, 2015. "Determinants of Per Capita State-Level Health Expenditures in the United States: A Spatial Panel Analysis," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 45(1).
    4. Serap Taskaya & Mustafa Demirkiran, 2016. "The Causality between Healthcare Resources and Health Expenditures in Turkey. A Granger Causality Method," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 6(2), pages 98-103, April.
    5. Eugene Kouassi & Oluyele Akinkugbe & Noni Oratile Kutlo & J. M. Bosson Brou, 2018. "Health expenditure and growth dynamics in the SADC region: evidence from non-stationary panel data with cross section dependence and unobserved heterogeneity," International Journal of Health Economics and Management, Springer, vol. 18(1), pages 47-66, March.
    6. Yilmaz Bayar & Marius Dan Gavriletea & Mirela Oana Pintea & Ioana Cristina Sechel, 2021. "Impact of Environment, Life Expectancy and Real GDP per Capita on Health Expenditures: Evidence from the EU Member States," IJERPH, MDPI, vol. 18(24), pages 1-14, December.
    7. G. Emmanuel Guindon & Paul Contoyannis, 2012. "A Second Look At Pharmaceutical Spending As Determinants Of Health Outcomes In Canada," Health Economics, John Wiley & Sons, Ltd., vol. 21(12), pages 1477-1495, December.
    8. Carla Blazquez-Fernandez & David Cantarero & Patricio Perez, 2014. "Disentangling the heterogeneous income elasticity and dynamics of health expenditure," Applied Economics, Taylor & Francis Journals, vol. 46(16), pages 1839-1854, June.
    9. Di Matteo, Livio & Cantarero-Prieto, David, 2018. "The Determinants of Public Health Expenditures: Comparing Canada and Spain," MPRA Paper 87800, University Library of Munich, Germany.
    10. Tuğay GÜNEL, 2018. "The Relationship Between Young Populations, Life Expectancy at Birth, Number Of Doctors and Health Expenditure in Turkey: An Econometric Application," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 1.
    11. Munic Boungnarasy, 2011. "Health care expenditures in Asia countries: Panel data analysis," Economics Bulletin, AccessEcon, vol. 31(4), pages 3169-3178.
    12. Mujaheed Shaikh & Afschin Gandjour, 2019. "Pharmaceutical expenditure and gross domestic product: Evidence of simultaneous effects using a two‐step instrumental variables strategy," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 101-122, January.
    13. Vitor Castro, 2017. "Pure, White and Deadly… Expensive: A Bitter Sweetness in Health Care Expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1644-1666, December.
    14. Elisabet Rodriguez Llorian & Janelle Mann, 2022. "Exploring the technology–healthcare expenditure nexus: a panel error correction approach," Empirical Economics, Springer, vol. 62(6), pages 3061-3086, June.
    15. Chi Lau & Ka Fung & Lee Pugalis, 2014. "Is health care expenditure across Europe converging? Findings from the application of a nonlinear panel unit root test," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 4(2), pages 137-156, December.

  3. 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.

  4. Knight, J.L. & Stachell, S.E. & Tran, K.C., 1995. "Statistical Modeling of Asymetric Risk in Asset Returns," Papers 95-3, Saskatchewan - Department of Economics.

    Cited by:

    1. Sancetta, A., 2005. "Copula Based Monte Carlo Integration in Financial Problems," Cambridge Working Papers in Economics 0506, Faculty of Economics, University of Cambridge.
    2. Hussain, Sultan & Arif, Hifsa & Noorullah, Muhammad & Pantelous, Athanasios A., 2023. "Pricing American Options under Azzalini Ito-McKean Skew Brownian Motions," Applied Mathematics and Computation, Elsevier, vol. 451(C).
    3. Stephen Satchell & David Damant & Soosung Hwang, 2000. "Exponential risk measure with application to UK asset allocation," Applied Mathematical Finance, Taylor & Francis Journals, vol. 7(2), pages 127-152.
    4. Ba Chu, 2012. "Approximation of Asymmetric Multivariate Return Distributions," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 19(3), pages 293-318, September.
    5. Stefania D'Amico, 2004. "Density Estimation and Combination under Model Ambiguity," Computing in Economics and Finance 2004 273, Society for Computational Economics.
    6. Spyros Skouras, 2001. "Decisionmetrics: A Decision-Based Approach to Econometric Modeling," Working Papers 01-11-064, Santa Fe Institute.
    7. Davies, G.B. & Satchell, S.E., 2004. "The Behavioural Components of Risk Aversion," Cambridge Working Papers in Economics 0458, Faculty of Economics, University of Cambridge.
    8. Alcock, Jamie & Sinagl, Petra, 2022. "International determinants of asymmetric dependence in investment returns," Journal of International Money and Finance, Elsevier, vol. 122(C).
    9. Hwang, Soosung & Pedersen, Christian S., 2004. "Asymmetric risk measures when modelling emerging markets equities: evidence for regional and timing effects," Emerging Markets Review, Elsevier, vol. 5(1), pages 109-128, March.
    10. Tae-Hwy Lee & Yong Bao & Burak Saltoğlu, 2007. "Comparing density forecast models Previous versions of this paper have been circulated with the title, 'A Test for Density Forecast Comparison with Applications to Risk Management' since October 2003;," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(3), pages 203-225.
    11. Emmanuel Acar & Stephen Satchell, 1997. "A theoretical analysis of trading rules: an application to the moving average case with Markovian returns," Applied Mathematical Finance, Taylor & Francis Journals, vol. 4(3), pages 165-180.
    12. Stephen Satchell & George Christodoulakis, 1996. "The Simulation of Option Prices with Application to LIFFE Options on Futures," Archive Working Papers 007, Birkbeck, Department of Economics, Mathematics & Statistics.
    13. Davies, G.B. & Satchell, S.E., 2004. "Continuous Cumulative Prospect Theory and Individual Asset Allocation," Cambridge Working Papers in Economics 0467, Faculty of Economics, University of Cambridge.
    14. Herv¨¦ Ndoume Essingone & Mouhamadou Saliou Diallo, 2019. "Risk and Return: The Case of Securities Listed on the West African Economic and Monetary Union Regional Exchange of Securities (BRVM)," Applied Economics and Finance, Redfame publishing, vol. 6(1), pages 97-108, January.
    15. John Knight & Colin Lizieri & Stephen Satchell, 2005. "Diversification When It Hurts? The Joint Distributions of Real Estate and Equity Markets," Real Estate & Planning Working Papers rep-wp2005-16, Henley Business School, University of Reading.
    16. Farah, N. & Satchell, S.E., 2003. "A Loss Aversion Performance Measure," Cambridge Working Papers in Economics 0333, Faculty of Economics, University of Cambridge.
    17. Shaun Bond & Stephen Satchell, 2006. "Asymmetry and downside risk in foreign exchange markets," The European Journal of Finance, Taylor & Francis Journals, vol. 12(4), pages 313-332.
    18. Stephen E. Satchell & Shaun A. Bond, 2004. "Asymmetry, Loss Aversion and Forecasting," Econometric Society 2004 Australasian Meetings 160, Econometric Society.
    19. Chu, Ba & Knight, John & Satchell, Stephen, 2011. "Large deviations theorems for optimal investment problems with large portfolios," European Journal of Operational Research, Elsevier, vol. 211(3), pages 533-555, June.
    20. Stefania D'Amico, 2005. "Density selection and combination under model ambiguity: an application to stock returns," Finance and Economics Discussion Series 2005-09, Board of Governors of the Federal Reserve System (U.S.).

Articles

  1. 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.

    Cited by:

    1. Hung-pin Lai & Subal C. Kumbhakar, 2023. "Indirect inference estimation of stochastic production frontier models with skew-normal noise," Empirical Economics, Springer, vol. 64(6), pages 2771-2793, June.
    2. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.
  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. Alexander Bilson Darku & Stavroula Malla & Kien C. Tran, 2016. "Sources and Measurement of Agricultural Productivity and Efficiency in Canadian Provinces: Crops and Livestock," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(1), pages 49-70, March.

    Cited by:

    1. Guang Tian & Xiaoxue Du & Fangbin Qiao & Andres Trujillo-Barrera, 2021. "Technology Adoption and Learning-by-Doing: The Case of Bt Cotton Adoption in China," JRFM, MDPI, vol. 14(11), pages 1-13, November.
    2. Koiry, Subrata & Huang, Wei, 2023. "Do ecological protection approaches affect total factor productivity change of cropland production in Sweden?," Ecological Economics, Elsevier, vol. 209(C).
    3. 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.
    4. Ali, M.K., 2018. "Estimation of irrigation water use efficiency with a stochastic frontier model," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277354, International Association of Agricultural Economists.
    5. Wenbiao Cai, 2017. "We See Thee Rise: Quantifying Farm Size Expansion in Canada," Departmental Working Papers 2017-01, The University of Winnipeg, Department of Economics.

  12. 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.

  13. Tran, Kien C. & Tsionas, Efthymios G., 2013. "GMM estimation of stochastic frontier model with endogenous regressors," Economics Letters, Elsevier, vol. 118(1), pages 233-236.

    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.

  14. Fırat Bilgel & Kien C. Tran, 2013. "The determinants of Canadian provincial health expenditures: evidence from a dynamic panel," Applied Economics, Taylor & Francis Journals, vol. 45(2), pages 201-212, January.
    See citations under working paper version above.
  15. 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.
  16. 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.

    Cited by:

    1. Leon Li & Mark J. Holmes & Bong Soo Lee, 2016. "The asymmetric relationship between executive earnings management and compensation: a panel threshold regression approach," Applied Economics, Taylor & Francis Journals, vol. 48(57), pages 5525-5545, December.
    2. 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).
    3. 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.
    4. Lambert, Remy, 2012. "A Primer on the Economics of Supply Management and Food Supply Chains," Working Papers 125246, Structure and Performance of Agriculture and Agri-products Industry (SPAA).
    5. 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.
    6. M.K. Ndegue Fongue & Lota D. Tamini & B. Larue & G.E. West, 2014. "Efficiences technique et environnementale en agriculture: le cas du bassin de la rivière Chaudière au Québec," Cahiers de recherche CREATE 2014-10, CREATE.
    7. Ndegue Fongue, M.K., 2014. "Efficiences technique et environnementale en agriculture: le cas du bassin de la rivière Chaudière au Québec," Working Papers 187234, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    8. 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.
    9. Gbemay Singbo, Alphonse & Larue, Bruno, 2014. "Scale Economies and Technical Efficiency of Quebec Dairy Farms," Working Papers 182482, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    10. 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.
    11. Kuo, Chii-Shyan & Li, Ming-Yuan Leon & Yu, Shang-En, 2013. "Non-uniform effects of CEO equity-based compensation on firm performance – An application of a panel threshold regression model," The British Accounting Review, Elsevier, vol. 45(3), pages 203-214.
    12. Hughes, Neal & Soh, Wei Ying & Lawson, Kenton & Lu, Michael, 2022. "Improving the performance of micro-simulation models with machine learning: The case of Australian farms," Economic Modelling, Elsevier, vol. 115(C).
    13. Menegaki, Angeliki N., 2013. "Accounting for unobserved management in renewable energy & growth," Energy, Elsevier, vol. 63(C), pages 345-355.
    14. Brea, Humberto & Grifell-Tatje, Emili & Orea, Luis, 2012. "Expectations with Unrealistic Optimism: An Empirical Application," Efficiency Series Papers 2012/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    15. Lota D. Tamini & Bruno Larue & Gale E. West & Moise K.Ndegue Fongue, 2016. "Agricultural production and pollutant runoffs in QuŽbecÕs Chaudi re river watershed: what are the potential environmental gains?," Cahiers de recherche CREATE 2016-2, CREATE.
    16. Alphonse G. Singbo & Bruno Larue, 2014. "Scale Economies and Technical Efficiency of Quebec Dairy Farms," Cahiers de recherche CREATE 2014-7, CREATE.

  17. 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.

  18. 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.

  19. Alberto Alonso & Cristina Echevarria & Kien C. Tran, 2004. "Long‐Run Economic Performance and the Labor Market," Southern Economic Journal, John Wiley & Sons, vol. 70(4), pages 905-919, April.

    Cited by:

    1. Canale, Rosaria Rita & Liotti, Giorgio & Musella, Marco, 2022. "Labour market flexibility and workers’ living conditions in Europe," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 441-450.

  20. Morteza Haghiri & James Nolan & Kien Tran, 2004. "Assessing the impact of economic liberalization across countries: a comparison of dairy industry efficiency in Canada and the USA," Applied Economics, Taylor & Francis Journals, vol. 36(11), pages 1233-1243.

    Cited by:

    1. Elskamp, Rebecca & Hailu, Getu, 2013. "Do Efficient Dairy Producers Purchase Quota?," Working Papers 148901, Canadian Agricultural Trade Policy Research Network.
    2. Alexander Bilson Darku & Stavroula Malla & Kien C. Tran, 2016. "Sources and Measurement of Agricultural Productivity and Efficiency in Canadian Provinces: Crops and Livestock," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(1), pages 49-70, March.
    3. Alphonse Singbo & Bruno Larue, 2016. "Scale Economies, Technical Efficiency, and the Sources of Total Factor Productivity Growth of Quebec Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 339-363, June.
    4. Jean‐Paul Chavas & Doris Läpple & Bradford Barham & Emma Dillon, 2022. "An economic analysis of production efficiency: Evidence from Irish farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(2), pages 153-173, June.
    5. Morteza Haghiri, 2013. "Applied Nonparametric Regression Analysis: the Choice of Generalized Additive Models," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 25-34, February.
    6. Ruhul Salim & Amzad Hossain, 2006. "Market deregulation, trade liberalization and productive efficiency in Bangladesh agriculture: an empirical analysis," Applied Economics, Taylor & Francis Journals, vol. 38(21), pages 2567-2580.
    7. Azza El-Shinnawy, 2010. "Trends of Total Factor Productivity in Egypt’s Pharmaceutical Industry: Evidence from the Nonparametric Malmquist Index Approach," Working Papers 524, Economic Research Forum, revised 05 Jan 2010.
    8. Johannes Sauer, 2011. "The Empirical Identification of Heterogenous Technologies and Technical Change," Post-Print hal-00768585, HAL.
    9. Johannes Sauer & Catherine J. Morrison Paul, 2013. "The empirical identification of heterogeneous technologies and technical change," Applied Economics, Taylor & Francis Journals, vol. 45(11), pages 1461-1479, April.

  21. Konstantinos Giannakas & Kien C. Tran & Vangelis Tzouvelekas, 2003. "On the choice of functional form in stochastic frontier modeling," Empirical Economics, Springer, vol. 28(1), pages 75-100, January.

    Cited by:

    1. Michel Dumont, 2006. "Foreign outsourcing, labour demand and the choice of functional form," Journal of Applied Economics, Universidad del CEMA, vol. 9, pages 255-273, November.
    2. Anne Musson & Damien Rousselière, 2018. "Exploring the effect of crisis on cooperatives: A Bayesian performance analysis of French craftsmen cooperatives," Working Papers hal-01911612, HAL.
    3. Richard Fabling & David C Maré, 2015. "Production function estimation using New Zealand’s Longitudinal Business Database," Working Papers 15_15, Motu Economic and Public Policy Research.
    4. Kanybek Nur-tegin, 2007. "Do Transition Economies and Developing Countries Have Similar Destinies?," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 35(3), pages 327-342, September.
    5. Lambarraa, Fatima & Serra, Teresa & Gil Roig, Jose Maria, 2006. "Technical efficiency analysis and decomposition of productivity growth of Spanish olive farms," 98th Seminar, June 29-July 2, 2006, Chania, Crete, Greece 10071, European Association of Agricultural Economists.
    6. Gabriela Pérez Quesada, 2017. "Technical efficiency of dairy farms in Uruguay: a stochastic production frontier analysis," Documentos de Trabajo (working papers) 0517, Department of Economics - dECON.
    7. Quintano, Claudio & Mazzocchi, Paolo & Rocca, Antonella, 2021. "Evaluation of the eco-efficiency of territorial districts with seaport economic activities," Utilities Policy, Elsevier, vol. 71(C).
    8. 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.
    9. Hoang, Viet-Ngu & Nguyen, Trung Thanh, 2013. "Analysis of environmental efficiency variations: A nutrient balance approach," Ecological Economics, Elsevier, vol. 86(C), pages 37-46.
    10. Bourne, M. & Philippidis, G. & Quiroga, S. & Fernandez-Haddad, Z., 2013. "Kyoto and Mañana: A CGE analysis of Spanish Greenhouse Gas targets to 2020," Conference papers 332344, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    11. Sanna-Mari Hynninen, 2009. "Matching in local labor markets: a stochastic frontier approach," Journal of Productivity Analysis, Springer, vol. 31(1), pages 15-26, February.
    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. Viktoriya Galushko & Samuel Gamtessa, 2022. "Impact of Climate Change on Productivity and Technical Efficiency in Canadian Crop Production," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    14. Msafiri D. Mbaga & Robert Romain & Bruno Larue & Luc Lebel, 2003. "Assessing Technical Efficiency of Québec Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 51(1), pages 121-137, March.
    15. Walter Briec & Laurent Cavaignac & Kristiaan Kerstens, 2020. "Input Efficiency Measures: A Generalized, Encompassing Formulation," Operations Research, INFORMS, vol. 68(6), pages 1836-1849, November.
    16. Schmidt, Rouven & Kneib, Thomas, 2023. "Multivariate distributional stochastic frontier models," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).
    17. 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.
    18. Neubauer, Florian & Songsermsawas, Tisorn & Kámiche-Zegarra, Joanna & Bravo-Ureta, Boris E., 2022. "Technical efficiency and technological gaps correcting for selectivity bias: Insights from a value chain project in Nepal," Food Policy, Elsevier, vol. 112(C).
    19. Morteza Haghiri & James Nolan & Kien Tran, 2004. "Assessing the impact of economic liberalization across countries: a comparison of dairy industry efficiency in Canada and the USA," Applied Economics, Taylor & Francis Journals, vol. 36(11), pages 1233-1243.
    20. Benini, Giacomo & Cattani, Gilles, 2022. "Measuring the long run technical efficiency of offshore wind farms," Applied Energy, Elsevier, vol. 308(C).
    21. Sansi Yang & C Richard Shumway, 2018. "Asset fixity under state-contingent production uncertainty," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(5), pages 831-856.
    22. Ibrahima Barry & Damien Rousselière, 2022. "Do quality incentive payments improve cooperative performance? The case of small French agricultural cooperatives," Post-Print hal-03724051, HAL.
    23. 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.
    24. Konstantinos Giannakas & Kien Tran & Vangelis Tzouvelekas, 2003. "Predicting technical effciency in stochastic production frontier models in the presence of misspecification: a Monte-Carlo analysis," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 153-161.
    25. Monchuk, Daniel C. & Zhuo, Chen, 2008. "Explaining Production Inefficiency in China’s Agriculture using Data Envelope Analysis and Semi-Parametric Bootstrapping," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6456, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    26. Carvalho, Pedro & Marques, Rui Cunha, 2014. "Computing economies of vertical integration, economies of scope and economies of scale using partial frontier nonparametric methods," European Journal of Operational Research, Elsevier, vol. 234(1), pages 292-307.
    27. 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.
    28. Amores, Antonio F. & Contreras, Ignacio, 2009. "New approach for the assignment of new European agricultural subsidies using scores from data envelopment analysis: Application to olive-growing farms in Andalusia (Spain)," European Journal of Operational Research, Elsevier, vol. 193(3), pages 718-729, March.
    29. Ariel Dinar & Giannis Karagiannis & Vangelis Tzouvelekas, 2002. "Evaluating the Impact of Public and Private Agricultural Extension on Farms Performance: A Non-Neutral Stochastic Frontier Approach," Working Papers 0205, University of Crete, Department of Economics.
    30. Hans J. Czap & Kanybek D. Nur-tegin, 2011. "Big Bang vs. Gradualism – A Productivity Analysis," EuroEconomica, Danubius University of Galati, issue 29, pages 38-56, August.
    31. Francesco Vidoli & Giancarlo Ferrara, 2015. "Analyzing Italian citrus sector by semi-nonparametric frontier efficiency models," Empirical Economics, Springer, vol. 49(2), pages 641-658, September.
    32. 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.
    33. Liangjun Su & Zhenlin Yang, 2008. "Asymptotics and Bootstrap for Transformed Panel Data Regressions," Development Economics Working Papers 22477, East Asian Bureau of Economic Research.
    34. Juan Piedra-Peña & Diego Prior, 2023. "Analyzing the effect of health reforms on the efficiency of Ecuadorian public hospitals," International Journal of Health Economics and Management, Springer, vol. 23(3), pages 361-392, September.
    35. Mirza, Faisal Mehmood & Mushtaq, Iqra, 2022. "Estimating the marginal cost of improving services quality in electricity distribution utilities of Pakistan," Energy Policy, Elsevier, vol. 167(C).
    36. 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.
    37. Ferrara, Giancarlo & Vidoli, Francesco, 2017. "Semiparametric stochastic frontier models: A generalized additive model approach," European Journal of Operational Research, Elsevier, vol. 258(2), pages 761-777.
    38. 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.
    39. Mohamed Ghroubi & Ezzeddine Abaoub, 2016. "A Meta-Frontier Function for the Estimation of Islamic and Conventional Banks’ Cost and Revenue Efficiency: The Case of Malaysia from 2006 to 2012," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(5), pages 254-254, April.
    40. Dios-Palomares, Rafaela & Martínez-Paz, José M., 2011. "Technical, quality and environmental efficiency of the olive oil industry," Food Policy, Elsevier, vol. 36(4), pages 526-534, August.
    41. World Bank, 2009. "Serbia - Baseline Survey on Cost and Efficiency in Primary Health Care Centers Before Provider Payment Reforms," World Bank Publications - Reports 3036, The World Bank Group.

  22. Konstantinos Giannakas & Kien Tran & Vangelis Tzouvelekas, 2003. "Predicting technical effciency in stochastic production frontier models in the presence of misspecification: a Monte-Carlo analysis," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 153-161.

    Cited by:

    1. Danish Ahmed SIDDIQUI & Qazi Masood AHMED, 2019. "Are institutions a crucial determinant of cross country economic efficiency? A two-stage double bootstrap data envelopment analysis," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(618), S), pages 89-114, Spring.
    2. Kumbhakar, Subal C. & Peresetsky, Anatoly & Shchetynin, Yevgenii & Zaytsev, Alexey, 2020. "Technical efficiency and inefficiency: Reassurance of standard SFA models and a misspecification problem," MPRA Paper 102797, University Library of Munich, Germany.
    3. Ravallion, Martin, 2005. "On Measuring Aggregate "Social Efficiency."," Economic Development and Cultural Change, University of Chicago Press, vol. 53(2), pages 273-292, January.
    4. 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.
    5. 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.

  23. Amalia Yiannaka & Konstantinos Giannakas & Kien Tran, 2002. "Medium, message and advertising effectiveness in the Greek processed meats industry," Applied Economics, Taylor & Francis Journals, vol. 34(14), pages 1757-1763.

    Cited by:

    1. Crespo Cuaresma, Jesus & Stöckl, Matthias, 2012. "The Effect of Marketing Spending on Sales in the Premium Car Segment: New Evidence from Germany," Working Papers in Economics 2012-2, University of Salzburg.
    2. Espérance Zossou & Rose Fiamohe & Simple Davo Vodouhe & Matty Demont, 2022. "Experimental auctions with exogenous and endogenous information treatment: Willingness to pay for improved parboiled rice in Benin," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 806-825, September.
    3. Shalini Nath Tripathi & Dheeraj Misra & Masood Siddiqui, 2020. "Impact of Advertising Intensity on Market Risk of a Firm: A Study on the Indian Consumer Goods Sector," Global Business Review, International Management Institute, vol. 21(6), pages 1376-1386, December.
    4. Huong Le & Andros Gregoriou & Tung Nguyen, 2023. "Advertising, product market competition and stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 60(4), pages 1605-1628, May.
    5. Joel Rabinovich, 2022. "The evolving contribution of R&D, advertising and capital expenditures for US-listed firms’ growth in sales, 1979-2018. A quantile regression analysis," Working Papers hal-03539656, HAL.
    6. Sneha Sharma & Deepak Kapur, 2014. "Causality Relationship between Advertising Expenditure and Sales: A Study of Indian Service Sector," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 39(3), pages 275-292, August.
    7. Zhang, Xu & Goddard, Ellen W., 2010. "Analysis of Value-Added Meat Product Choice Behaviour by Canadian Households," Project Report Series 99703, University of Alberta, Department of Resource Economics and Environmental Sociology.
    8. Neelotpaul Banerjee & Somroop Siddhanta, 2015. "An Empirical Investigation on the Impact of Marketing Communication Expenditure on Firms’ Profitability: Evidence from India," Global Business Review, International Management Institute, vol. 16(4), pages 609-622, August.

  24. Konstantinos Giannakas & Kien Tran & Vangelis Tzouvelekas, 2000. "Efficiency, technological change and output growth in Greek olive growing farms: a Box-Cox approach," Applied Economics, Taylor & Francis Journals, vol. 32(7), pages 909-916.

    Cited by:

    1. Alexander Bilson Darku & Stavroula Malla & Kien C. Tran, 2016. "Sources and Measurement of Agricultural Productivity and Efficiency in Canadian Provinces: Crops and Livestock," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(1), pages 49-70, March.
    2. G. Karagiannis & P. Midmore & V. Tzouvelekas, 2002. "Separating Technical Change from Time-Varying Technical Inefficiency in the Absence of Distributional Assumptions," Journal of Productivity Analysis, Springer, vol. 18(1), pages 23-38, July.
    3. Albert Okunade, 2001. "Cost-Output Relation, Technological Progress, and Clinical Activity Mix of US Hospital Pharmacies," Journal of Productivity Analysis, Springer, vol. 16(2), pages 167-193, September.
    4. 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.
    5. Bravo-Ureta, Boris & Solís, Daniel & Moreira, Victor & Maripani, José & Thiam, Abdourahmane & Rivas, Teodoro, 2005. "Technical Efficiency in Farming: A Meta-regression analysis," Efficiency Series Papers 2005/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    6. Konstantinos Giannakas & Kien Tran & Vangelis Tzouvelekas, 2003. "Predicting technical effciency in stochastic production frontier models in the presence of misspecification: a Monte-Carlo analysis," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 153-161.
    7. Ariel Dinar & Giannis Karagiannis & Vangelis Tzouvelekas, 2002. "Evaluating the Impact of Public and Private Agricultural Extension on Farms Performance: A Non-Neutral Stochastic Frontier Approach," Working Papers 0205, University of Crete, Department of Economics.
    8. Giannis Karagiannis & Peter Midmore & Vangelis Tzouvelekas, 2002. "Parametric Decomposition of Output Growth," Working Papers 0204, University of Crete, Department of Economics.
    9. Cheng, Xu, 2015. "Robust inference in nonlinear models with mixed identification strength," Journal of Econometrics, Elsevier, vol. 189(1), pages 207-228.
    10. Dios-Palomares, Rafaela & Martínez-Paz, José M., 2011. "Technical, quality and environmental efficiency of the olive oil industry," Food Policy, Elsevier, vol. 36(4), pages 526-534, August.
    11. Mansoor Maitah & Ahmed Murjan & Helena Rezbov & Mustofa Jehar, 2016. "Economic Analysis of Olive Oil Production Costs as Influenced by Farm Size in Syrian Coastal Region," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 154-162.

  25. Kien C. Tran, 1999. "Testing for structural change in the dynamic adjustment model with autoregressive errors," Empirical Economics, Springer, vol. 24(1), pages 61-76.

    Cited by:

    1. Chen, Gongmeng & Choi, Yoon K. & Zhou, Yong, 2008. "Detections of changes in return by a wavelet smoother with conditional heteroscedastic volatility," Journal of Econometrics, Elsevier, vol. 143(2), pages 227-262, April.

  26. Kien Tran, 1998. "Estimating mixtures of normal distributions via empirical characteristic function," Econometric Reviews, Taylor & Francis Journals, vol. 17(2), pages 167-183.

    Cited by:

    1. Carol Alexander & Sujit Narayanan, 2001. "Option Pricing with Normal Mixture Returns: Modelling Excess Kurtosis and Uncertanity in Volatility," ICMA Centre Discussion Papers in Finance icma-dp2001-10, Henley Business School, University of Reading, revised Dec 2001.
    2. Tsionas, Mike, 2012. "Simple techniques for likelihood analysis of univariate and multivariate stable distributions: with extensions to multivariate stochastic volatility and dynamic factor models," MPRA Paper 40966, University Library of Munich, Germany, revised 20 Aug 2012.
    3. Dinghai Xu, 2009. "The Applications of Mixtures of Normal Distributions in Empirical Finance: A Selected Survey," Working Papers 0904, University of Waterloo, Department of Economics, revised Sep 2009.
    4. Michael Rockinger & Maria Semenova, 2005. "Estimation of Jump-Diffusion Process vis Empirical Characteristic Function," FAME Research Paper Series rp150, International Center for Financial Asset Management and Engineering.
    5. Marine Carrasco & Jean-Pierre Florens, 2000. "Efficient GMM Estimation Using the Empirical Characteristic Function," Working Papers 2000-33, Center for Research in Economics and Statistics.
    6. Dinghai Xu & John Knight, 2008. "Continuous Empirical Characteristic Function Estimation of Mixtures of Normal Parameters," Working Papers 08006, University of Waterloo, Department of Economics.
    7. Robert J. Elliott & Carlton-James U. Osakwe, 2006. "Option Pricing for Pure Jump Processes with Markov Switching Compensators," Finance and Stochastics, Springer, vol. 10(2), pages 250-275, April.
    8. 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.
    9. Dinghai Xu, 2009. "An Efficient Estimation for Switching Regression Models: A Monte Carlo Study," Working Papers 0903, University of Waterloo, Department of Economics, revised Apr 2009.
    10. Klar, Bernhard & Meintanis, Simos G., 2005. "Tests for normal mixtures based on the empirical characteristic function," Computational Statistics & Data Analysis, Elsevier, vol. 49(1), pages 227-242, April.

  27. J. L. Knight & S. E. Satchell & K. C. Tran, 1995. "Statistical modelling of asymmetric risk in asset returns," Applied Mathematical Finance, Taylor & Francis Journals, vol. 2(3), pages 155-172.
    See citations under working paper version above.
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