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Christopher Parmeter

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2011. "Does Education Matter for Economic Growth?," Working Papers 2011-13, University of Miami, Department of Economics.

    Mentioned in:

    1. Quelle "proxy" pour vérifier le lien entre éducation et croissance ?
      by jcbriquet in Ressources pour économistes on 2012-05-03 14:58:11
  2. Henderson, Daniel J. & Kumbhakar, Subal C. & Parmeter, Christopher F., 2012. "A Simple Method to Visualize Results in Nonlinear Regression Models," IZA Discussion Papers 6781, Institute of Labor Economics (IZA).

    Mentioned in:

    1. What I Learned Last Week
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2012-10-13 09:19:00
  3. Andor, Mark & Parmeter, Christopher, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Ruhr Economic Papers 693, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

    Mentioned in:

    1. Recommended Reading for October
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2017-10-04 23:08:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Jetter, Michael & Parmeter, Christopher F., 2018. "Sorting through global corruption determinants: Institutions and education matter – Not culture," World Development, Elsevier, vol. 109(C), pages 279-294.

    Mentioned in:

    1. Sorting through global corruption determinants: Institutions and education matter – Not culture (WD 2018) in ReplicationWiki ()
  2. Bernstein, David H. & Parmeter, Christopher F., 2019. "Returns to scale in electricity generation: Replicated and revisited," Energy Economics, Elsevier, vol. 82(C), pages 4-15.

    Mentioned in:

    1. Returns to scale in electricity generation: Replicated and revisited (Energy Economics 2019) in ReplicationWiki ()
  3. Shahram M. Amini & Christopher F. Parmeter, 2012. "Comparison Of Model Averaging Techniques: Assessing Growth Determinants," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 870-876, August.

    Mentioned in:

    1. Comparison Of Model Averaging Techniques: Assessing Growth Determinants (Journal of Applied Econometrics 2012) in ReplicationWiki ()
  4. Daniel J. Henderson & Christopher F. Parmeter & Subal C. Kumbhakar, 2007. "Nonparametric estimation of a hedonic price function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 695-699.

    Mentioned in:

    1. Nonparametric estimation of a hedonic price function (Journal of Applied Econometrics 2007) in ReplicationWiki ()

Working papers

  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).

    Cited by:

    1. 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.
    2. 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.

  2. Yan Meng & Christopher F. Parameter & Valentin Zelenyuk, 2021. "Is Newer Always Better? A Reinvestigation Of Productivity Dynamics," CEPA Working Papers Series WP062021, School of Economics, University of Queensland, Australia.

    Cited by:

    1. Laurens Cherchye & Bram De Rock & Dieter Saelens & Marijn Verschelde, 2022. "Productive Efficiency Analysis with Incomplete Output Information," Working Papers ECARES 2022-21, ULB -- Universite Libre de Bruxelles.

  3. M. Battisti & M. Del Gatto & A. F. Gravina & C. F. Parmeter, 2021. "Robots versus labor skills: a complementarity/substitutability analysis," Working Paper CRENoS 202104, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

    Cited by:

    1. Brunello, Giorgio & Rückert, Désirée & Weiss, Christoph T. & Wruuck, Patricia, 2023. "Advanced Digital Technologies and Investment in Employee Training: Complements or Substitutes?," IZA Discussion Papers 15936, Institute of Labor Economics (IZA).

  4. 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.

  5. Millimet, Daniel L. & Parmeter, Christopher F., 2021. "COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths," IZA Discussion Papers 14116, Institute of Labor Economics (IZA).

    Cited by:

    1. Attar, M. Aykut & Tekin-Koru, Ayça, 2022. "Latent social distancing: Identification, causes and consequences," Economic Systems, Elsevier, vol. 46(1).
    2. Boto-García, David, 2023. "Investigating the two-way relationship between mobility flows and COVID-19 cases," Economic Modelling, Elsevier, vol. 118(C).
    3. Richard Gearhart & Lyudmyla Sonchak-Ardan & Nyakundi Michieka, 2022. "The efficiency of COVID cases to COVID policies: a robust conditional approach," Empirical Economics, Springer, vol. 63(6), pages 2903-2948, December.
    4. Gearhart, Richard & Michieka, Nyakundi & Anders, Anne, 2023. "The effectiveness of COVID deaths to COVID policies: A robust conditional approach," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 376-394.

  6. Jun Cai & William C. Horrace & Christopher F. Parmeter, 2020. "Density Deconvolution with Laplace Errors and Unknown Variance," Center for Policy Research Working Papers 225, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Horrace, William C. & Rothbart, Michah W. & Yang, Yi, 2022. "Technical efficiency of public middle schools in New York City," Economics of Education Review, Elsevier, vol. 86(C).
    2. 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.
    3. 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.

  7. Jetter, Michael & Mahmood, Rafat & Parmeter, Christopher F. & Ramirez Hassan, Andres, 2020. "Explaining Post-Cold-War Civil Conflict among 17 Billion Models: The Importance of History and Religion," IZA Discussion Papers 13511, Institute of Labor Economics (IZA).

    Cited by:

    1. Atin Basuchoudhary, 2021. "Why Is Civil Conflict Path Dependent? A Cultural Explanation," Games, MDPI, vol. 12(4), pages 1-12, December.

  8. Millimet, Daniel L. & Parmeter, Christopher F., 2019. "Accounting for Skewed or One-Sided Measurement Error in the Dependent Variable," IZA Discussion Papers 12576, Institute of Labor Economics (IZA).

    Cited by:

    1. Fuest, Clemens & Hugger, Felix & Neumeier, Florian, 2022. "Corporate profit shifting and the role of tax havens: Evidence from German country-by-country reporting data," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 454-477.
    2. Delis, Manthos D. & Dioikitopoulos, Evangelos V. & Ongena, Steven, 2023. "Population diversity and financial risk-taking," Journal of Banking & Finance, Elsevier, vol. 151(C).

  9. Michele Battisti & Massimo Del Gatto & Christopher F. Parmeter, 2019. "Skill Biased Technical Change and Misallocation. A Unified Framework and a country-sector exercize," Working Paper series 19-08, Rimini Centre for Economic Analysis.

    Cited by:

    1. Gary Koop, 2011. "Forecasting with Medium and Large Bayesian VARs," Working Papers 1117, University of Strathclyde Business School, Department of Economics.
    2. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    3. KOROBILIS, Dimitris, 2011. "VAR forecasting using Bayesian variable selection," LIDAM Discussion Papers CORE 2011022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  10. Andor, Mark A. & Parmeter, Christopher & Sommer, Stephan, 2018. "Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes," Ruhr Economic Papers 770, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

    Cited by:

    1. 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.
    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. Andor, Mark Andreas & Bernstein, David H. & Sommer, Stephan, 2020. "Determining the efficiency of residential electricity consumption," Ruhr Economic Papers 870, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Zhi Li & Lu Lv & Zuo Zhang, 2022. "Research on the Characteristics and Influencing Factors of Chinese Urban Households’ Electricity Consumption Efficiency," Energies, MDPI, vol. 15(20), pages 1-15, October.
    6. 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.
    7. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
    8. 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.
    9. Akihiro Otsuka, 2023. "Stochastic demand frontier analysis of residential electricity demands in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 179-195, March.
    10. Xian’En Wang & Shimeng Wang & Xipan Wang & Wenbo Li & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "The Assessment of Carbon Performance under the Region-Sector Perspective based on the Nonparametric Estimation: A Case Study of the Northern Province in China," Sustainability, MDPI, vol. 11(21), pages 1-23, October.
    11. Marcos Gonçalves Perroni & Claudimar Pereira da Veiga & Zhaohui Su & Fernando Maciel Ramos & Wesley Vieira da Silva, 2023. "Dynamic Equilibrium of Sustainable Ecosystem Variables: An Experiment," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    12. 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.
    13. 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.
    14. 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).
    15. 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).

  11. Christopher F. Parmeter & Jeffrey S. Racine, 2018. "Nonparametric Estimation and Inference for Panel Data Models," Department of Economics Working Papers 2018-02, McMaster University.

    Cited by:

    1. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2020. "Model uncertainty, nonlinearities and out-of-sample comparison: evidence from international technology diffusion," Working Papers hal-02790523, HAL.
    2. Arteaga-Molina, Luis A. & Rodríguez-Poo, Juan M., 2019. "Empirical likelihood based inference for a categorical varying-coefficient panel data model with fixed effects," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 110-124.
    3. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2021. "Interactive R&D Spillovers: an estimation strategy based on forecasting-driven model selection," Working Papers hal-03224910, HAL.
    4. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2020. "Model uncertainty, nonlinearities and out-of-sample comparison: evidence from international technology diffusion," SEEDS Working Papers 0120, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jan 2020.
    5. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2019. "Nonparametric estimation of R&D international spillovers," Post-Print hal-02789474, HAL.
    6. Taining Wang & Jinjing Tian, 2020. "Recasting the trade impact on labor share: a fixed-effect semiparametric estimation study," Empirical Economics, Springer, vol. 58(5), pages 2465-2511, May.
    7. Ivan Korolev, 2019. "A Consistent LM Type Specification Test for Semiparametric Panel Data Models," Papers 1909.05649, arXiv.org.
    8. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2021. "Interactive R&D Spillovers: An estimation strategy based on forecasting-driven model selection," SEEDS Working Papers 0621, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2021.

  12. Daniel J. Henderson & Christopher F. Parmeter & Liangjun Su, 2017. "M-Estimation of a Nonparametric Threshold Regression Model," Working Papers 2017-15, University of Miami, Department of Economics.

    Cited by:

    1. Yoonseok Lee & Yulong Wang, 2019. "Threshold Regression with Nonparametric Sample Splitting," Papers 1905.13140, arXiv.org, revised Jan 2021.

  13. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2017. "Stochastic Frontier Analysis: Foundations and Advances," Working Papers 2017-10, University of Miami, Department of Economics.

    Cited by:

    1. Papadopoulos, Alecos & Parmeter, Christopher F., 2021. "Type II failure and specification testing in the Stochastic Frontier Model," European Journal of Operational Research, Elsevier, vol. 293(3), pages 990-1001.
    2. DeLay, Nathan D. & Thompson, Nathanael M. & Mintert, James R., 2020. "Precision Agriculture Technology Adoption and Technical Efficiency," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304280, Agricultural and Applied Economics Association.
    3. 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.
    4. Bonanno, Graziella & D’Orio, Giovanni & Lombardo, Rosetta, 2020. "Generating well-being and efficiency: Evidence from Italy," Economic Analysis and Policy, Elsevier, vol. 65(C), pages 262-275.
    5. Sabrina Auci & Laura Castellucci & Manuela Coromaldi, 2021. "How does public spending affect technical efficiency? Some evidence from 15 European countries," Bulletin of Economic Research, Wiley Blackwell, vol. 73(1), pages 108-130, January.
    6. Park, Donghyun & Tian, Shu & Wu, Qiongbing, 2020. "Bank Efficiency and the Bond Markets: Evidence from the Asia and Pacific Region," ADB Economics Working Paper Series 612, Asian Development Bank.
    7. Sabrina Auci & Nicolò Barbieri & Manuela Coromaldi & Donatella Vignani, 2021. "Innovation for climate change adaptation and technical efficiency: an empirical analysis in the European agricultural sector," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 597-623, July.
    8. Mattsson, Pontus & Tidanå, Claes, 2019. "Potential efficiency effects of merging the Swedish district courts," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 58-68.
    9. Samuel Faria & Sofia Gouveia & Alexandre Guedes & João Rebelo, 2021. "Transient and Persistent Efficiency and Spatial Spillovers: Evidence from the Portuguese Wine Industry," Economies, MDPI, vol. 9(3), pages 1-20, August.
    10. 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.
    11. Ricardo F. Díaz & Blanca Sanchez-Robles, 2020. "Non-Parametric Analysis of Efficiency: An Application to the Pharmaceutical Industry," Mathematics, MDPI, vol. 8(9), pages 1-27, September.
    12. Nguyen, Dung Thuy Thi & Diaz-Rainey, Ivan & Roberts, Helen & Le, Minh, 2022. "The non-monotonic relationship between financial integration and cost efficiency: Evidence from East Asian commercial banks," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 418-438.
    13. 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).
    14. 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.
    15. Bannor, Frank & Dikgang, Johane & Gelo, Dambala, 2021. "Agricultural total factor productivity growth, technical efficiency, and climate variability in sub-Saharan Africa," EconStor Preprints 231310, ZBW - Leibniz Information Centre for Economics.
    16. Al-Azzam, Moh'd & Mimouni, Karim & Smaoui, Houcem & Temimi, Akram, 2022. "Subsidies vs. deposits and cost inefficiency in microfinance," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 212-235.
    17. Pieri, Fabio & Vecchi, Michela & Venturini, Francesco, 2018. "Modelling the joint impact of R&D and ICT on productivity: A frontier analysis approach," Research Policy, Elsevier, vol. 47(9), pages 1842-1852.
    18. 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.
    19. Francisco Javier Forcadell & Elisa Aracil & Fernando Ubeda, 2020. "Using reputation for corporate sustainability to tackle banks digitalization challenges," Business Strategy and the Environment, Wiley Blackwell, vol. 29(6), pages 2181-2193, September.
    20. Gilles Dufrénot, 2018. "The third demographic dividend: measuring the “demographic tax” in the Arab Countries in Transition," Working Papers 2018-15, CEPII research center.
    21. 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.
    22. Mydland, Ørjan & Størdal, Ståle & Kumbhakar, Subal C. & Lien, Gudbrand, 2022. "Modeling markups and its determinants: The case of Norwegian industries and regions," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 252-262.
    23. Subhash C. Ray, 2021. "Choice of Inputs and Outputs for Production Analysis," Working papers 2021-05, University of Connecticut, Department of Economics.
    24. Yismaw Ayelign & Lakhwinder Singh, 2019. "Labor productivity of Ethiopian large and Medium Scale Manufacturing Sector," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(3), pages 64-70, September.
    25. Romero-Jordán, Desiderio & del Río, Pablo, 2022. "Analysing the drivers of the efficiency of households in electricity consumption," Energy Policy, Elsevier, vol. 164(C).
    26. Sabrina Auci & Donatella Vignani, 2020. "Climate variability and agriculture in Italy: a stochastic frontier analysis at the regional level," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(2), pages 381-409, July.

  14. Kevin J. Boyle & Christopher F. Parmeter, 2017. "Benefit Transfer for Ecosystem Services," Working Papers 2017-07, University of Miami, Department of Economics.

    Cited by:

    1. Finisdore, John & Rhodes, Charles & Haines-Young, Roy & Maynard, Simone & Wielgus, Jeffrey & Dvarskas, Anthony & Houdet, Joel & Quétier, Fabien & Lamothe, Karl A. & Ding, Helen & Soulard, François &, 2020. "The 18 benefits of using ecosystem services classification systems," Ecosystem Services, Elsevier, vol. 45(C).
    2. Huber, Christopher & Meldrum, James & Richardson, Leslie, 2018. "Improving confidence by embracing uncertainty: A meta-analysis of U.S. hunting values for benefit transfer," Ecosystem Services, Elsevier, vol. 33(PB), pages 225-236.
    3. Grammatikopoulou, Ioanna & VaÄ kářová, Davina, 2021. "The value of forest ecosystem services: A meta-analysis at the European scale and application to national ecosystem accounting," Ecosystem Services, Elsevier, vol. 48(C).

  15. Andor, Mark & Parmeter, Christopher, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Ruhr Economic Papers 693, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

    Cited by:

    1. 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.
    2. Andor, Mark Andreas & Bernstein, David H. & Sommer, Stephan, 2020. "Determining the efficiency of residential electricity consumption," Ruhr Economic Papers 870, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. 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.
    4. José Luis Preciado Arreola & Daisuke Yagi & Andrew L. Johnson, 2020. "Insights from machine learning for evaluating production function estimators on manufacturing survey data," Journal of Productivity Analysis, Springer, vol. 53(2), pages 181-225, April.
    5. 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.
    6. Julia Schaefer & Marcel Clermont, 2018. "Stochastic non-smooth envelopment of data for multi-dimensional output," Journal of Productivity Analysis, Springer, vol. 50(3), pages 139-154, December.
    7. Andor, Mark A. & Parmeter, Christopher & Sommer, Stephan, 2018. "Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes," Ruhr Economic Papers 770, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. 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.
    9. 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. David H. Bernstein & Christopher F. Parmeter, 2017. "Returns to Scale in Electricity Generation: Revisited and Replicated," Working Papers 2017-08, University of Miami, Department of Economics.

    Cited by:

    1. Li, Gao & Ruonan, Li & Yingdan, Mei & Xiaoli, Zhao, 2022. "Improve technical efficiency of China's coal-fired power enterprises: Taking a coal-fired-withdrawl context," Energy, Elsevier, vol. 252(C).
    2. Sun, Kege & Wu, Libo, 2020. "Efficiency distortion of the power generation sector under the dual regulation of price and quantity in China," Energy Economics, Elsevier, vol. 86(C).

  17. 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.

    Cited by:

    1. Jos L. T. Blanc & Alex A. S. van Heezik & Bas Blank, 2023. "Productivity and efficiency of central government departments: a mixed-effect model applied to Dutch data in the period 2012-2019," Public Sector Economics, Institute of Public Finance, vol. 47(3), pages 335-351.
    2. Stefan Seifert & Christoph Kahle & Silke Hüttel, 2021. "Price Dispersion in Farmland Markets: What Is the Role of Asymmetric Information?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1545-1568, August.
    3. 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.
    4. Meng-Ying Wang & Li-Chen Chou, 2024. "Evaluating information asymmetry effects on hotel pricing: a comparative analysis before and during the COVID-19 pandemic in the Taiwan’s market," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    5. 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.
    6. Wang, Mengjiao & Liu, Jianxu & Rahman, Sanzidur & Sun, Xiaoqi & Sriboonchitta, Songsak, 2023. "The effect of China’s outward foreign direct investment on carbon intensity of Belt and Road Initiative countries: A double-edged sword," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 792-808.
    7. 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).
    8. Alecos Papadopoulos, 2021. "Stochastic frontier models using the Generalized Exponential distribution," Journal of Productivity Analysis, Springer, vol. 55(1), pages 15-29, February.
    9. Hu, Zhiqiang & Pei, Kaibing, 2020. "Bi-directional R&D spillovers and operating performance: A two-tier stochastic frontier model," Economics Letters, Elsevier, vol. 195(C).

  18. Nadine McCloud & Christopher F. Parmeter, 2017. "Calculating Degrees of Freedom in Multivariate Local Polynomial Regression," Working Papers 2017-14, University of Miami, Department of Economics.

    Cited by:

    1. McCloud, Nadine & Parmeter, Christopher F., 2020. "Determining the Number of Effective Parameters in Kernel Density Estimation," Computational Statistics & Data Analysis, Elsevier, vol. 143(C).

  19. William Horrace & Christopher Parmeter, 2016. "Accounting for Multiplicity in Inference on Economics Journal Rankings," Working Papers 2016-08, University of Miami, Department of Economics.

    Cited by:

    1. William C. Horrace, & Andrew I. Friedson & Allison F. Marier, 2016. "So Many Hospitals, So Little Information: How Hospital Value Based Purchasing is a Game of Chance," Center for Policy Research Working Papers 192, Center for Policy Research, Maxwell School, Syracuse University.
    2. Johannes Koenig & David I. Stern & Richard S.J. Tol, 2022. "Confidence Intervals for Recursive Journal Impact Factors," Working Paper Series 0122, Department of Economics, University of Sussex Business School.
    3. Horrace, William & Jung, Hyunseok & Presler, Jonathan & Schwartz, Amy Ellen, 2021. "What Makes a Classmate a Peer? Examining which peers matter in NYC elementary schools," Working Papers 21-4, Sinquefield Center for Applied Economic Research, Saint Louis University, revised 17 Jan 2022.

  20. Luke Fitzpatrick & Christopher F. Parmeter & Juan Agar, 2016. "Threshold Effects in Meta Analyses with Application to Benefit Transfer for Coral Reef Valuation," Working Papers 2016-03, University of Miami, Department of Economics.

    Cited by:

    1. Dennis Guignet & Matthew T. Heberling & Michael Papenfus & Olivia Griot & Ben Holland, 2020. "Property values, water quality, and benefit transfer: A nationwide meta-analysis," Working Papers 20-04, Department of Economics, Appalachian State University.
    2. Ngoc, Quach Thi Khanh, 2019. "Assessing the value of coral reefs in the face of climate change: The evidence from Nha Trang Bay, Vietnam," Ecosystem Services, Elsevier, vol. 35(C), pages 99-108.
    3. D'Alberto, Riccardo & Zavalloni, Matteo & Raggi, Meri & Viaggi, Davide, 2021. "A Statistical Matching approach to reproduce the heterogeneity of willingness to pay in benefit transfer," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    4. Kevin J. Boyle & Christopher F. Parmeter, 2017. "Benefit Transfer for Ecosystem Services," Working Papers 2017-07, University of Miami, Department of Economics.
    5. Diluiso, Francesca & Guastella, Gianni & Pareglio, Stefano, 2021. "Changes in urban green spaces’ value perception: A meta-analytic benefit transfer function for European cities," Land Use Policy, Elsevier, vol. 101(C).
    6. Stoeckl, Natalie & Dodd, Aaron & Kompas, Tom, 2023. "The monetary value of 16 services protected by the Australian National Biosecurity System: Spatially explicit estimates and vulnerability to incursions," Ecosystem Services, Elsevier, vol. 60(C).
    7. Fitzpatrick, Luke & Parmeter, Christopher F. & Agar, Juan, 2019. "Approaches for visualizing uncertainty in benefit transfer from metaregression," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    8. Schägner, Jan Philipp & Brander, Luke & Paracchini, Maria Luisa & Maes, Joachim & Gollnow, Florian & Bertzky, Bastian, 2018. "Spatial dimensions of recreational ecosystem service values: A review of meta-analyses and a combination of meta-analytic value-transfer and GIS," Ecosystem Services, Elsevier, vol. 31(PC), pages 395-409.
    9. Fezzi, Carlo & Ford, Derek J. & Oleson, Kirsten L.L., 2023. "The economic value of coral reefs: Climate change impacts and spatial targeting of restoration measures," Ecological Economics, Elsevier, vol. 203(C).

  21. Christopher F. Parmeter & Alan T. K. Wan & Xinyu Zhang, 2016. "Model Averaging Estimators for the Stochastic Frontier Model," Working Papers 2016-09, University of Miami, Department of Economics.

    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. 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.
    3. Paul, Satya & Shankar, Sriram, 2018. "On estimating efficiency effects in a stochastic frontier model," European Journal of Operational Research, Elsevier, vol. 271(2), pages 769-774.
    4. Tsionas, Mike G. & Assaf, A. George & Andrikopoulos, Athanasios, 2020. "Quantile stochastic frontier models with endogeneity," Economics Letters, Elsevier, vol. 188(C).
    5. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    6. 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.
    7. 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.
    8. Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.
    9. 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.
    10. 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.
    11. Cinzia Daraio, 2017. "A framework for the Assessment of Research and its impacts," DIAG Technical Reports 2017-04, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".

  22. Michael Jetter & Christopher F. Parmeter, 2016. "Uncovering the determinants of corruption," Working Papers 2016-02, University of Miami, Department of Economics.

    Cited by:

    1. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.

  23. 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.

    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.

  24. Chris Papageorgiou & Christopher F. Parmeter, 2015. "Export Diversification: Is There Anything to the Hump?," Working Papers 2015-02, University of Miami, Department of Economics.

    Cited by:

    1. Joseph, Andreas & Osbat, Chiara, 2016. "How you export matters: the disassortative structure of international trade," Working Paper Series 1958, European Central Bank.
    2. Povilas Lastauskas & Julius Stakenas, 2016. "Openness and Structural Labour Market Reforms: Counterfactuals for Lithuania," Bank of Lithuania Discussion Paper Series 1, Bank of Lithuania.

  25. Daniel J. Henderson & Christopher F. Parmeter, 2015. "Single-Step Estimation of a Partially Linear Model," Working Papers 2015-01, University of Miami, Department of Economics.

    Cited by:

    1. Yixiao Jiang, 2020. "A Hausman Test for Partially Linear Models with an Application to Implied Volatility Surface," JRFM, MDPI, vol. 13(11), pages 1-12, November.

  26. William C. Horrace & Christopher F. Parmeter, 2014. "A Laplace Stochastic Frontier Model," Center for Policy Research Working Papers 166, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Oleg Badunenko & Daniel J. Henderson, 2024. "Production analysis with asymmetric noise," Journal of Productivity Analysis, Springer, vol. 61(1), pages 1-18, February.
    2. 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.
    3. Papadopoulos, Alecos & Parmeter, Christopher F., 2021. "Type II failure and specification testing in the Stochastic Frontier Model," European Journal of Operational Research, Elsevier, vol. 293(3), pages 990-1001.
    4. 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.
    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. Horrace, William C. & Rothbart, Michah W. & Yang, Yi, 2022. "Technical efficiency of public middle schools in New York City," Economics of Education Review, Elsevier, vol. 86(C).
    7. 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.
    8. Tsionas, Mike G. & Assaf, A. George & Andrikopoulos, Athanasios, 2020. "Quantile stochastic frontier models with endogeneity," Economics Letters, Elsevier, vol. 188(C).
    9. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    10. 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.
    11. 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.
    12. Christopher F. Parmeter & Shirong Zhao, 2023. "An alternative corrected ordinary least squares estimator for the stochastic frontier model," Empirical Economics, Springer, vol. 64(6), pages 2831-2857, June.
    13. 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.
    14. Graziella Bonanno & Filippo Domma, 2022. "Analytical Derivations of New Specifications for Stochastic Frontiers with Applications," Mathematics, MDPI, vol. 10(20), pages 1-17, October.
    15. 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.
    16. 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.
    17. Alecos Papadopoulos, 2023. "The noise error component in stochastic frontier analysis," Empirical Economics, Springer, vol. 64(6), pages 2795-2829, June.
    18. Zhao, Shirong & Parmeter, Christopher F., 2022. "The “wrong skewness” problem: Moment constrained maximum likelihood estimation of the stochastic frontier model," Economics Letters, Elsevier, vol. 221(C).
    19. 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.
    20. 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.
    21. 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.
    22. 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.

  27. Michael S. Delgado & Christopher F. Parmeter, 2013. "Embarrassingly Easy Embarrassingly Parallel Processing in R: Implementation and Reproducibility," Working Papers 2013-06, University of Miami, Department of Economics.

    Cited by:

    1. Delgado, Michael S. & Parmeter, Christopher F., 2014. "A simple estimator for partial linear regression with endogenous nonparametric variables," Economics Letters, Elsevier, vol. 124(1), pages 100-103.
    2. 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.
    3. 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.

  28. Michael Jetter & Christopher F. Parmeter, 2013. "Does urbanization mean bigger governments?," Documentos de Trabajo de Valor Público 10730, Universidad EAFIT.

    Cited by:

    1. Lin Li & Kaixu Zhao & Xinyu Wang & Sidong Zhao & Xingguang Liu & Weiwei Li, 2022. "Spatio-Temporal Evolution and Driving Mechanism of Urbanization in Small Cities: Case Study from Guangxi," Land, MDPI, vol. 11(3), pages 1-34, March.
    2. Michael Jetter & Saskia Mösle & David Stadelmann, 2017. "Landlockedness and Economic Development: Analyzing Subnational Panel Data and Exploring Mechanisms," CESifo Working Paper Series 6733, CESifo.
    3. Muhammad Zakaria & Wen Jun & Arooj Khan, 2023. "Effects Of Capital Inflows On Fiscal Balance In An Emerging Economy: Evidence From Pakistan," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 68(05), pages 1585-1598, September.
    4. Jetter, Michael & Mösle, Saskia & Stadelmann, David, 2019. "Cursed by no coast: How regional landlockedness affects income within countries," Open Access Publications from Kiel Institute for the World Economy 266161, Kiel Institute for the World Economy (IfW Kiel).
    5. Fiorini, Luciana C. & Jetter, Michael & Parmeter, Christopher F. & Parsons, Christopher, 2020. "The Effect of Community Size on Electoral Preferences: Evidence From Post-WWII Southern Germany," IZA Discussion Papers 13724, Institute of Labor Economics (IZA).

  29. 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.

    Cited by:

    1. Marzieh Ronaghi & Michael Reed & Sayed Saghaian, 2020. "The impact of economic factors and governance on greenhouse gas emission," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(2), pages 153-172, April.
    2. Zhou, Yang & Shi, Zhixiong & Shi, Zhengyu & Gao, Qing & Wu, Libo, 2019. "Disaggregating power consumption of commercial buildings based on the finite mixture model," Applied Energy, Elsevier, vol. 243(C), pages 35-46.

  30. Daniel J. Henderson & Qi Li & Christopher F. Parmeter, 2013. "Gradient Based Smoothing Parameter Selection for Nonparametric Regression Estimation," Working Papers 2014-01, University of Miami, Department of Economics.

    Cited by:

    1. Lin, Wei & Cai, Zongwu & Li, Zheng & Su, Li, 2015. "Optimal smoothing in nonparametric conditional quantile derivative function estimation," Journal of Econometrics, Elsevier, vol. 188(2), pages 502-513.
    2. Khan, Shakeeb & Maurel, Arnaud & Zhang, Yichong, 2020. "Informational Content of Factor Structures in Simultaneous Binary Response Models," IZA Discussion Papers 14008, Institute of Labor Economics (IZA).
    3. Simar, Leopold & Van Keilegom, Ingrid & Zelenyuk, Valentin, 2014. "Nonparametric Least Squares Methods for Stochastic Frontier Models," LIDAM Discussion Papers ISBA 2014012, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    4. Li, Cong & Wang, Yanfei, 2016. "Gradient-based bandwidth selection for estimating average derivatives," Economics Letters, Elsevier, vol. 140(C), pages 19-22.
    5. 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.
    6. Salim Bouzebda & Mohamed Chaouch & Sultana Didi Biha, 2022. "Asymptotics for function derivatives estimators based on stationary and ergodic discrete time processes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(4), pages 737-771, August.
    7. Xie, Qichang & Sun, Qiankun, 2019. "Computation and application of robust data-driven bandwidth selection for gradient function estimation," Applied Mathematics and Computation, Elsevier, vol. 361(C), pages 274-293.
    8. Wei, Jie & Zhang, Yonghui, 2020. "A time-varying diffusion index forecasting model," Economics Letters, Elsevier, vol. 193(C).
    9. Geng, Xin & Sun, Kai, 2019. "Gradient estimation of the local-constant semiparametric smooth coefficient model," Economics Letters, Elsevier, vol. 185(C).
    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.

  31. : Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Who Benefits from Financial Development? New Methods, New Evidence," Working Papers 2013-07, University of Miami, Department of Economics.

    Cited by:

    1. Deniz Baglan & Emre Yoldas, 2014. "Non-linearity in the Inflation-Growth Relationship in Developing Economies: Evidence from a Semiparametric Panel Model," Finance and Economics Discussion Series 2014-51, Board of Governors of the Federal Reserve System (U.S.).
    2. Effiong, Ekpeno L. & Asuquo, Emmanuel E., 2016. "Migrants' Remittances, Governance and Heterogeneity," MPRA Paper 74753, University Library of Munich, Germany.
    3. Lisa Chauvet & Luc Jacolin, 2017. "Financial inclusion, bank concentration, and firm performance," Post-Print hal-02277478, HAL.
    4. Michele Battisti & Massimo Del Gatto & Christopher F. Parmeter, 2018. "Labor productivity growth: disentangling technology and capital accumulation," Journal of Economic Growth, Springer, vol. 23(1), pages 111-143, March.
    5. Liu, Guan-Chun & Lee, Chien-Chiang & Lee, Chi-Chuan, 2016. "The nexus between insurance activity and economic growth: A bootstrap rolling window approach," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 299-319.
    6. Kyriakos C. Neanidis, 2015. "Volatile Capital Flows and Economic Growth: The Role of Macro-prudential Regulation," Centre for Growth and Business Cycle Research Discussion Paper Series 215, Economics, The University of Manchester.
    7. Durusu-Ciftci, Dilek & Ispir, M. Serdar & Yetkiner, Hakan, 2017. "Financial development and economic growth: Some theory and more evidence," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 290-306.
    8. Wilfried A. Kouamé & Mr. Sampawende J Tapsoba, 2018. "Structural Reforms and Firms’ Productivity: Evidence from Developing Countries," IMF Working Papers 2018/063, International Monetary Fund.
    9. Ruiz, Jose L., 2018. "Financial development, institutional investors, and economic growth," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 218-224.
    10. Jesús Peiró-Palomino, 2016. "Social Capital and Economic Growth in Europe: Nonlinear Trends and Heterogeneous Regional Effects," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 717-751, October.
    11. Andini, Monica & Andini, Corrado, 2014. "Finance, growth and quantile parameter heterogeneity," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 308-322.
    12. Jesús Peiró-Palomino & Anabel Forte Deltell, 2013. "Does social capital matter for European regional growth?," Working Papers 2013/02, Economics Department, Universitat Jaume I, Castellón (Spain).
    13. Kizito Uyi Ehigiamusoe & Mohamad Shaharudin Samsurijan, 2021. "What matters for finance‐growth nexus? A critical survey of macroeconomic stability, institutions, financial and economic development," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5302-5320, October.
    14. 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).
    15. Boris Lavrovskii, 2018. "Assessment of Innovation Intensity: the Case of USA," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 281-291.
    16. Ketteni, Elena & Kottaridi, Constantina, 2019. "Credit market deregulation and economic growth: Further insights using a marginal integration approach," Journal of Macroeconomics, Elsevier, vol. 62(C).
    17. Simplice A. Asongu & Jacinta C. Nwachukwu, 2017. "At What Levels of Financial Development Does Information Sharing Matter?," Research Africa Network Working Papers 17/017, Research Africa Network (RAN).
    18. Prettner, Catherine, 2016. "Nonlinearities and Parameter Instability in the Finance-Growth Nexus," Department of Economics Working Paper Series 224, WU Vienna University of Economics and Business.
    19. Mariam Camarero & Jesús Peiró-Palomino & Cecilio Tamarit, 2018. "External imbalances and growth," Working Papers 1808, Department of Applied Economics II, Universidad de Valencia.
    20. Khan, Muhammad Atif & Gu, Lulu & Khan, Muhammad Asif & Oláh, Judit, 2020. "Natural resources and financial development: The role of institutional quality," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
    21. Lee, Chi-Chuan & Lee, Chien-Chiang & Chiou, Yan-Yu, 2017. "Insurance activities, globalization, and economic growth: New methods, new evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 155-170.
    22. Haupt, Harry & Schnurbus, Joachim & Semmler, Willi, 2018. "Estimation of grouped, time-varying convergence in economic growth," Econometrics and Statistics, Elsevier, vol. 8(C), pages 141-158.
    23. Tibebe A. Assefa & André Varella Mollick, 2017. "Financial Development and Economic Growth in Africa," Journal of African Business, Taylor & Francis Journals, vol. 18(3), pages 320-339, July.
    24. Jetter, Michael, 2013. "Volatility and Growth: Governments are Key," IZA Discussion Papers 7826, Institute of Labor Economics (IZA).
    25. Michael S. Delgado & Nadine McCloud, 2017. "Foreign direct investment and the domestic capital stock: the good–bad role of higher institutional quality," Empirical Economics, Springer, vol. 53(4), pages 1587-1637, December.
    26. Catherine Prettner, 2016. "Nonlinearities and Parameter Instability in the Finance-Growth Nexus," Department of Economics Working Papers wuwp224, Vienna University of Economics and Business, Department of Economics.
    27. Jetter, Michael & Nikolsko-Rzhevskyy, Alex & Smith, William T., 2013. "The effects of wage volatility on growth," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 93-109.
    28. Iván Arribas & Jesús Peiró-Palomino & Emili Tortosa-Ausina, 2015. "Is full banking integration desirable?," Working Papers 2015/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    29. Sabri Boubaker & Duc Khuong Nguyen & Vanja Piljak & Andreas Savvides, 2018. "Financial Development, Government Bond Returns, and Stability: International Evidence," Working Papers 2018-007, Department of Research, Ipag Business School.
    30. Lisa Chauvet & Luc Jacolin, 2015. "Financial Inclusion and Firms performance," Post-Print hal-01516871, HAL.
    31. Michael O'Hara & Christopher F. Parmeter, 2013. "Nonparametric Generalized Least Squares in Applied Regression Analysis," Pacific Economic Review, Wiley Blackwell, vol. 18(4), pages 456-474, October.
    32. Marta Degl'Innocenti & Roman Matousek & Nickolaos G Tzeremes, 2018. "Financial centres' competitiveness and economic convergence: Evidence from the European Union regions," Environment and Planning A, , vol. 50(1), pages 133-156, February.
    33. Fareeha Adil & Rabia Nazir, 2023. "Firms Financial Inclusion and Export Performance: Evidence from Manufacturing Sector Firms in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 62(3), pages 409-430.
    34. Agne Setikiene & Mindaugas Butkus, 2021. "The Heterogeneous Impact of Financialisation on Economic Growth in the Long Run," JRFM, MDPI, vol. 14(5), pages 1-30, May.
    35. Camarero, Mariam & Peiró-Palomino, Jesús & Tamarit, Cecilio, 2019. "Growth in a time of external imbalances," Economic Modelling, Elsevier, vol. 79(C), pages 262-275.
    36. Georgios Chortareas & Georgios Magkonis & Demetrios Moschos & Theodore Panagiotidis, 2015. "Financial Development and Economic Activity in Advanced and Developing Open Economies: Evidence from Panel Cointegration," Review of Development Economics, Wiley Blackwell, vol. 19(1), pages 163-177, February.
    37. Emmanuel Amissah & Katarzyna Świerczyńska, 2021. "Is Religion a Determinant of Financial Development?," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 27(3), pages 233-247, August.
    38. Daniel J. Henderson & Christopher F. Parmeter & Liangjun Su, 2017. "M-Estimation of a Nonparametric Threshold Regression Model," Working Papers 2017-15, University of Miami, Department of Economics.
    39. Durga P. Gautam, 2014. "Remittances and Governance: Does the Government Free Ride?," Working Papers 14-40, Department of Economics, West Virginia University.
    40. Walheer, Barnabé, 2021. "Labor productivity and technology heterogeneity," Journal of Macroeconomics, Elsevier, vol. 68(C).
    41. Guangdong Xu & Binwei Gui, 2021. "The non‐linearity between finance and economic growth: a literature review and evidence from China," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(1), pages 3-18, May.
    42. Mekki Hamdaoui & Samir Maktouf, 2019. "Overall effects of financial liberalization: financial crisis versus economic growth," International Review of Applied Economics, Taylor & Francis Journals, vol. 33(4), pages 568-595, July.
    43. Michael Jetter, 2013. "Volatility and Growth: An Explanation for the Disagreement," Documentos de Trabajo de Valor Público 10944, Universidad EAFIT.
    44. Fitzpatrick, Luke & Parmeter, Christopher F. & Agar, Juan, 2019. "Approaches for visualizing uncertainty in benefit transfer from metaregression," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    45. Maty Konte, 2018. "Do remittances not promote growth? A finite mixture-of-regressions approach," Empirical Economics, Springer, vol. 54(2), pages 747-782, March.
    46. Neanidis, Kyriakos C., 2019. "Volatile capital flows and economic growth: The role of banking supervision," Journal of Financial Stability, Elsevier, vol. 40(C), pages 77-93.

  32. Christopher F. Parmeter & Jaren C. Pope, 2012. "Quasi-Experiments and Hedonic Property Value Methods," Working Papers 2012-7, University of Miami, Department of Economics.

    Cited by:

    1. Fernando Carriazo & Julian Peñaranda, 2015. "The Effect of Commuting Costs to Employment Centers on Urban Property Values: A Spatial Analysis in Bogotá, Colombia," Documentos CEDE 13133, Universidad de los Andes, Facultad de Economía, CEDE.
    2. Muehlenbachs, Lucija & Spiller, Elisheba & Timmins, Christopher, "undated". "The Housing Market Impacts of Shale Gas Development," RFF Working Paper Series dp-13-39-rev, Resources for the Future.
    3. Amélie Mauroux, 2015. "L’information préventive améliore-t-elle la perception des risques? Impact de l’Information Acquéreur Locataire sur le prix des logements," Policy Papers 2015.05, FAERE - French Association of Environmental and Resource Economists.
    4. Shuhei Nishitateno & Paul J. Burke, 2021. "Willingness to pay for clean air: Evidence from diesel vehicle registration restrictions in Japan," CCEP Working Papers 2101, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
    5. Lepage, Louis-Pierre, 2023. "Discrimination and sorting in the real estate market: Evidence from terrorist attacks and mosques," European Economic Review, Elsevier, vol. 153(C).
    6. Dede Long & David Lewis & Christian Langpap, 2021. "Negative Traffic Externalities and Infant Health: The Role of Income Heterogeneity and Residential Sorting," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(3), pages 637-674, November.
    7. Michael LeGower & Randall Walsh, 2014. "Promise Scholarship Programs as Place-Making Policy: Evidence from School Enrollment and Housing Prices," NBER Working Papers 20056, National Bureau of Economic Research, Inc.
    8. Zhang, Congwen & Boyle, Kevin J. & Kuminoff, Nicolai V., 2015. "Partial identification of amenity demand functions," Journal of Environmental Economics and Management, Elsevier, vol. 71(C), pages 180-197.
    9. Eriksen, Michael D. & Kniesner, Thomas J. & Rohlfs, Chris & Sullivan, Ryan, 2016. "Toward more general hedonic estimation: Clarifying the roles of alternative experimental designs with an application to a housing attribute," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 54-62.
    10. Stefan Boes & Stephan Nüesch & Steven Stillman, 2013. "Aircraft Noise, Health, And Residential Sorting: Evidence From Two Quasi‐Experiments," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1037-1051, September.
    11. Sunak, Yasin & Madlener, Reinhard, 2016. "The impact of wind farm visibility on property values: A spatial difference-in-differences analysis," Energy Economics, Elsevier, vol. 55(C), pages 79-91.
    12. Wolf, David & Klaiber, H. Allen & Gopalakrishnan, Sathya, 2022. "Beyond marginal: Estimating the demand for water quality," Resource and Energy Economics, Elsevier, vol. 68(C).
    13. Okmyung Bin & Jeffrey Czajkowski & Jingyuan Li & Gabriele Villarini, 2017. "Housing Market Fluctuations and the Implicit Price of Water Quality: Empirical Evidence from a South Florida Housing Market," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 319-341, October.
    14. Yinger, John, 2015. "Hedonic markets and sorting equilibria: Bid-function envelopes for public services and neighborhood amenities," Journal of Urban Economics, Elsevier, vol. 86(C), pages 9-25.
    15. Nora Elena Espinal-Monsalve & Andrey David Ramos-Ramírez & Luz Yadira Gómez-Hernández, 2020. "Testing the cultural capital reproduction theory in Colombia. Case of performing arts, concerts and cinema," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 92, pages 101-131, Enero-Jun.
    16. Kono, Tatsuhito & Sega, Kousuke & Seya, Hajime, 2020. "Estimating the willingness to pay for urban esthetic projects using an inter-temporal equilibrium: a difference-in-differences hedonic approach," MPRA Paper 102064, University Library of Munich, Germany.
    17. Hodge, Timothy R. & Komarek, Timothy M., 2016. "Capitalizing on Neighborhood Enterprise Zones: Are Detroit residents paying for the NEZ Homestead exemption?," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 18-25.
    18. Fernandez, Linda & Cutter, Bowman & Sharma, Ritu & Scott, Tom, 2018. "Land preservation policy effect or neighborhood dynamics: A repeat sales hedonic matching approach," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 311-326.
    19. Delgado, Michael S. & Harriger, Jessica L. & Khanna, Neha, 2015. "The value of environmental status signaling," Ecological Economics, Elsevier, vol. 111(C), pages 1-11.
    20. Rohlfs, Chris & Sullivan, Ryan & Kniesner, Thomas J., 2013. "Hedonic Estimation under Very General Conditions Using Experimental and Quasi-Experimental Designs," IZA Discussion Papers 7554, Institute of Labor Economics (IZA).
    21. Boes, Stefan & Nüesch, Stephan, 2011. "Quasi-experimental evidence on the effect of aircraft noise on apartment rents," Journal of Urban Economics, Elsevier, vol. 69(2), pages 196-204, March.
    22. Beltrán, Allan & Maddison, David & Elliott, Robert, 2019. "The impact of flooding on property prices: A repeat-sales approach," Journal of Environmental Economics and Management, Elsevier, vol. 95(C), pages 62-86.
    23. Aarland, Kristin & Osland, Liv & Gjestland, Arnstein, 2017. "Do area-based intervention programs affect house prices? A quasi-experimental approach," Journal of Housing Economics, Elsevier, vol. 37(C), pages 67-83.
    24. Amélie Mauroux, 2015. "L’information préventive améliore-t-elle la perception des risques? Impact de l’Information Acquéreur Locataire sur le prix des logements," Working Papers 2015.17, FAERE - French Association of Environmental and Resource Economists.
    25. Christian Almer & Stefan Boes & Stephan Nuesch, 2013. "How do Housing Prices Adjust After an Environmental Shock? Evidence from a State-Mandated Change in Aircraft Noise Exposure," Department of Economics Working Papers 11/12, University of Bath, Department of Economics.
    26. Rohlf, Alexander & Römer, Daniel & von Graevenitz, Kathrine, 2014. "The Effect of Emission Information on Housing Prices in Germany," Working Papers 0554, University of Heidelberg, Department of Economics.
    27. Stefan Boes & Stephan N�esch, 2009. "New Flight Regimes and Exposure to Aircraft Noise: Identifying Housing Price Effects Using a Ratio-of-Ratios Approach," SOI - Working Papers 0906, Socioeconomic Institute - University of Zurich.
    28. Georgic, Will & Klaiber, H. Allen, 2022. "Stocks, flows, and flood insurance: A nationwide analysis of the capitalized impact of annual premium discounts on housing values," Journal of Environmental Economics and Management, Elsevier, vol. 111(C).
    29. Boes, Stefan & Nüesch, Stephan & Wüthrich, Kaspar, 2015. "Hedonic valuation of the perceived risks of nuclear power plants," Economics Letters, Elsevier, vol. 133(C), pages 109-111.
    30. Dennis Guignet & Christoph Nolte, 2021. "Hazardous Waste and Home Values: An Analysis of Treatment and Disposal Sites in the U.S," Working Papers 21-07, Department of Economics, Appalachian State University.

  33. Delgado, Michael S. & Henderson, Daniel J. & Parmeter, Christopher F., 2012. "Does Education Matter for Economic Growth?," IZA Discussion Papers 7089, Institute of Labor Economics (IZA).

    Cited by:

    1. Deniz Baglan & Emre Yoldas, 2014. "Non-linearity in the Inflation-Growth Relationship in Developing Economies: Evidence from a Semiparametric Panel Model," Finance and Economics Discussion Series 2014-51, Board of Governors of the Federal Reserve System (U.S.).
    2. Yasser Y. Tamsamani & Brunet-Jailly Joseph & Abdellatif Komat & Fouzi Mourji, 2019. "An alternative development model for Morocco [Pour un modèle alternatif de développement du Maroc]," Working Papers hal-03104703, HAL.
    3. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    4. Mduduzi Biyase & Frederich Kirsten, 2020. "Education and Economic Growth in Cape and Natal Colonies:Learning from History," Journal of Developing Areas, Tennessee State University, College of Business, vol. 54(1), pages 105-120, January-M.
    5. 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).
    6. J. David Brown & Gustavo A. Crespi & Leonardo Iacovone & Luca Marcolin, 2018. "Decomposing firm-level productivity growth and assessing its determinants: evidence from the Americas," The Journal of Technology Transfer, Springer, vol. 43(6), pages 1571-1606, December.
    7. Guan, Jing & Tena, J.D., 2022. "Physical activity, leisure-time, cognition and academic grades: Connections and causal effects in Chinese students," Journal of Asian Economics, Elsevier, vol. 78(C).
    8. Philip Kostov & Julie Le Gallo, 2015. "Convergence: A Story of Quantiles and Spillovers," Kyklos, Wiley Blackwell, vol. 68(4), pages 552-576, November.
    9. Saafi Sami & Nouira Ridha, 2018. "Re-Examining the Relationship Between Export Upgrading and Economic Growth: Is there a Threshold Effect?," The Economic and Social Review, Economic and Social Studies, vol. 49(4), pages 437-454.
    10. Oleg Badunenko & Daniel Henderson & Romain Houssa, 2014. "Significant drivers of growth in Africa," Journal of Productivity Analysis, Springer, vol. 42(3), pages 339-354, December.
    11. Madsen, Jakob B., 2016. "Health, Human Capital Formation And Knowledge Production: Two Centuries Of International Evidence," Macroeconomic Dynamics, Cambridge University Press, vol. 20(4), pages 909-953, June.
    12. Madsen, Jakob B. & Raschky, Paul A. & Skali, Ahmed, 2015. "Does democracy drive income in the world, 1500–2000?," European Economic Review, Elsevier, vol. 78(C), pages 175-195.
    13. Sui Chin Tan & Chong Mun Ho & Vincent Pang, 2016. "Why Has Education Inequality Widened in Sabah, Malaysia?," Economics Bulletin, AccessEcon, vol. 36(1), pages 569-575.
    14. Łukasz Jabłoński, 2021. "Ewolucja podejść do kapitału ludzkiego w naukach ekonomicznych," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 91-120.
    15. Thomas Kemeny & Abigail Cooke, 2015. "Spillovers from Immigrant Diversity in Cities," Working Papers 15-37, Center for Economic Studies, U.S. Census Bureau.
    16. Mohamed Chakroun & Naima Chrid & Sami Saafi, 2021. "Does export upgrading really matter to economic growth? Evidence from panel data for high‐, middle‐ and low‐income countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5584-5609, October.
    17. Ujjaini Mukhopadhyay, 2021. "Differential Education Subsidy Policy and Wage Inequality Between Skilled, Semi-skilled and Unskilled Labour: A General Equilibrium Approach," Review of Development and Change, , vol. 26(1), pages 40-62, June.
    18. Agiropoulos, Charalampos & Karkalakos, Sotiris & Polemis, Michael, 2019. "Revisiting the finance-growth nexus: A socioeconomic approach," MPRA Paper 95209, University Library of Munich, Germany.
    19. Man, Georg, 2015. "Competition and the growth of nations: International evidence from Bayesian model averaging," Economic Modelling, Elsevier, vol. 51(C), pages 491-501.
    20. Paul J. Burke and Ashani Abayasekara, 2018. "The Price Elasticity of Electricity Demand in the United States: A Three-Dimensional Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    21. Michael Jetter & Christopher F. Parmeter, 2020. "Reply to “A Replication of “Sorting through Global Corruption Determinants: Institutions and Education Matter— Not Culture†(World Development, 2018)â€," Public Finance Review, , vol. 48(4), pages 568-576, July.
    22. 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.
    23. Teixeira, Aurora A.C. & Queirós, Anabela S.S., 2016. "Economic growth, human capital and structural change: A dynamic panel data analysis," Research Policy, Elsevier, vol. 45(8), pages 1636-1648.
    24. Miao Wang & Hong Zhuang, 2021. "FDI and educational outcomes in developing countries," Empirical Economics, Springer, vol. 61(6), pages 3505-3539, December.
    25. Henderson, Daniel J. & Qian, Junhui & Wang, Le, 2015. "The Inequality-Growth Plateau," IZA Discussion Papers 8771, Institute of Labor Economics (IZA).
    26. Roman Matousek & Nickolaos G. Tzeremes, 2021. "The asymmetric impact of human capital on economic growth," Empirical Economics, Springer, vol. 60(3), pages 1309-1334, March.
    27. Mora Rodríguez, Jhon James & Estrada Nates, Daniela, 2021. "La relación entre el desarrollo de los municipios y la puntuación en Matemáticas: un caso aplicado para Colombia|| The relationship between the municipality development and mathematic score: the Colom," 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. 32(1), pages 112-129, December.
    28. Yan Meng & Christopher F. Parameter & Valentin Zelenyuk, 2021. "Is Newer Always Better? A Reinvestigation Of Productivity Dynamics," CEPA Working Papers Series WP062021, School of Economics, University of Queensland, Australia.
    29. Donatella Saccone & Mario Deaglio, 2020. "Poverty, emergence, boom and affluence: a new classification of economies," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(1), pages 267-306, April.
    30. Cooke, Abigail & Kemeny, Thomas, 2017. "Cities, immigrant diversity, and complex problem solving," Research Policy, Elsevier, vol. 46(6), pages 1175-1185.
    31. Almeida, Alexandre N. & Santos, Augusto S. & Halmenschlager, Vinícius & Gilio, Leandro & Diniz, Tiago B. & Ferreira, Alexandre A. S., 2016. "Flexible-fuel automobiles and CO2 emissions in Brazil: a semiparametric analysis using panel data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235733, Agricultural and Applied Economics Association.
    32. Michael Polemis & Dr Aikaterina Oikonomou, 2022. "A note on the human capital and tourism growth nexus: a semi-parametric approach," Economics and Business Letters, Oviedo University Press, vol. 11(2), pages 79-87.
    33. Jarrín-V, Pablo & Falconí, Fander & Cango, Pedro & Ramos-Martin, Jesus, 2021. "Knowledge gaps in Latin America and the Caribbean and economic development," World Development, Elsevier, vol. 146(C).
    34. Neumann, Uwe, 2020. "Lebenslanges Lernen als Standortfaktor? Weiterbildungschancen im Vergleich der deutschen Bundesländer," RWI Materialien 138, RWI - Leibniz-Institut für Wirtschaftsforschung.
    35. Amini, Shahram & Battisti, Michele & Parmeter, Christopher F., 2017. "Decomposing changes in the conditional variance of GDP over time," Economic Modelling, Elsevier, vol. 61(C), pages 376-387.
    36. Rosa Bernardini Papalia & Silvia Bertarelli, 2013. "Nonlinearities in economic growth and club convergence," Empirical Economics, Springer, vol. 44(3), pages 1171-1202, June.
    37. Vicente Ríos & Antonio Gómez & Pedro Pascual, 2021. "Raising the Accuracy of Shadow Economy Measurements," Hacienda Pública Española / Review of Public Economics, IEF, vol. 239(4), pages 71-125, November.
    38. Bonin, Holger, 2017. "The Potential Economic Benefits of Education of Migrants in the EU," IZA Research Reports 75, Institute of Labor Economics (IZA).
    39. Theodore R. Breton & Andrew S. Breton, 2021. "Growth in a macro‐Mincer model: Good results with schooling and experience interactions," Review of Development Economics, Wiley Blackwell, vol. 25(2), pages 563-581, May.
    40. Csaba NAGY, 2016. "Why Do We Need Human Capital Index?," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 375-385, July.
    41. Piotr Tadeusz Wójcik, 2022. "The parallel convergence of income and educational achievements: joint distribution dynamics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(3), pages 527-548, June.
    42. Sara Barcenilla-Visús & Carmen López-Pueyo, 2018. "Inside Europe: human capital and economic growth revisited," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(4), pages 821-847, November.

  34. Pang Du & Christopher F. Parmeter & Jeffrey S. Racine, 2012. "Nonparametric Kernel Regression with Multiple Predictors and Multiple Shape Constraints," Department of Economics Working Papers 2012-08, McMaster University.

    Cited by:

    1. Michele Battisti & Massimo Del Gatto & Christopher F. Parmeter, 2018. "Labor productivity growth: disentangling technology and capital accumulation," Journal of Economic Growth, Springer, vol. 23(1), pages 111-143, March.
    2. 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.
    3. Tae-Hwy Lee & Yundong Tu & Aman Ullah, 2014. "Nonparametric and Semiparametric Regressions Subject to Monotonicity Constraints: Estimation and Forecasting," Working Papers 201404, University of California at Riverside, Department of Economics.
    4. Malikov, Emir & Hartarska, Valentina, 2018. "Endogenous Scope Economies in Microfinance Institutions," MPRA Paper 87450, University Library of Munich, Germany.
    5. Michael Delgado & Christopher Parmeter & Valentina Hartarska & Roy Mersland, 2015. "Should all microfinance institutions mobilize microsavings? Evidence from economies of scope," Empirical Economics, Springer, vol. 48(1), pages 193-225, February.
    6. 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.
    7. Simar, Leopold & Van Keilegom, Ingrid & Zelenyuk, Valentin, 2014. "Nonparametric Least Squares Methods for Stochastic Frontier Models," LIDAM Discussion Papers ISBA 2014012, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    8. 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.
    9. Czekaj, Tomasz G., 2015. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," 2015 Conference, August 9-14, 2015, Milan, Italy 211555, International Association of Agricultural Economists.
    10. Wedimu, Mengistu A. & Henningsen, Arne & Czekaj, Tomasz G., 2015. "Incentives and Moral Hazard: Plot Level Productivity of Factory-Operated and Outgrower-Operated Sugarcane Production in Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 211900, International Association of Agricultural Economists.
    11. Christopher Parmeter & Kai Sun & Daniel Henderson & Subal Kumbhakar, 2014. "Estimation and inference under economic restrictions," Journal of Productivity Analysis, Springer, vol. 41(1), pages 111-129, February.
    12. Jeffrey S. Racine, 2016. "Local Polynomial Derivative Estimation: Analytic or Taylor?," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 617-633, Emerald Group Publishing Limited.
    13. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    14. 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.
    15. Humberto Brea-Solis & Sergio Perelman & David Saal, 2017. "Regulatory incentives to water losses reduction: the case of England and Wales," Journal of Productivity Analysis, Springer, vol. 47(3), pages 259-276, June.
    16. Wenchuan Liu & Yu Zhang & Qi Li, 2015. "A semiparametric varying coefficient model of monotone auction bidding processes," Empirical Economics, Springer, vol. 48(1), pages 313-335, February.
    17. Kai Sun, 2015. "Constrained nonparametric estimation of input distance function," Journal of Productivity Analysis, Springer, vol. 43(1), pages 85-97, February.
    18. 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. Diego Restrepo-Tobón & Subal Kumbhakar, 2015. "Nonparametric estimation of returns to scale using input distance functions: an application to large U.S. banks," Empirical Economics, Springer, vol. 48(1), pages 143-168, February.
    20. Tabri, Rami V., 2015. "Empirical Likelihood for Robust Poverty Comparisons," Working Papers 2015-02, University of Sydney, School of Economics, revised May 2015.

  35. Henderson, Daniel J. & Kumbhakar, Subal C. & Parmeter, Christopher F., 2012. "A Simple Method to Visualize Results in Nonlinear Regression Models," IZA Discussion Papers 6781, Institute of Labor Economics (IZA).

    Cited by:

    1. Uddin, Md. Main & Mishra, Vinod & Smyth, Russell, 2020. "Income inequality and CO2 emissions in the G7, 1870–2014: Evidence from non-parametric modelling," Energy Economics, Elsevier, vol. 88(C).
    2. Effiong, Ekpeno L. & Asuquo, Emmanuel E., 2016. "Migrants' Remittances, Governance and Heterogeneity," MPRA Paper 74753, University Library of Munich, Germany.
    3. Myint Moe Chit, 2018. "Political openness and the growth of small and medium enterprises: empirical evidence from transition economies," Empirical Economics, Springer, vol. 55(2), pages 781-804, September.
    4. Teresa D. Harrison & Daniel J. Henderson & Deniz Ozabaci & Christopher A. Laincz, 2023. "Does one size fit all in the non‐profit donation production function?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 373-402, April.
    5. Delgado, Michael S. & McCloud, Nadine & Kumbhakar, Subal C., 2014. "A generalized empirical model of corruption, foreign direct investment, and growth," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 298-316.
    6. Liu, Weiwei, 2015. "Gasoline taxes or efficiency standards? A heterogeneous household demand analysis," Energy Policy, Elsevier, vol. 80(C), pages 54-64.
    7. Michael Delgado & Christopher Parmeter & Valentina Hartarska & Roy Mersland, 2015. "Should all microfinance institutions mobilize microsavings? Evidence from economies of scope," Empirical Economics, Springer, vol. 48(1), pages 193-225, February.
    8. 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.
    9. Anjan K. Saha & Vinod Mishra & Russell Smyth, 2021. "Financial development and top income shares in OECD countries," Southern Economic Journal, John Wiley & Sons, vol. 87(3), pages 952-978, January.
    10. Marcos Sanso-Navarro & Maria Vera-Cabello, 2015. "The effects of knowledge and innovation on regional growth: Nonparametric evidence," ERSA conference papers ersa15p949, European Regional Science Association.
    11. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    12. Kaul, Sapna & Boyle, Kevin J. & Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2013. "What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 90-104.
    13. Daniel J. Henderson & Anne-Charlotte Souto & Le Wang, 2020. "Higher-Order Risk–Returns to Education," JRFM, MDPI, vol. 13(11), pages 1-25, October.
    14. 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.
    15. Mariam Camarero & Jesús Peiró-Palomino & Cecilio Tamarit, 2018. "External imbalances and growth," Working Papers 1808, Department of Applied Economics II, Universidad de Valencia.
    16. Sefa Awaworyi Churchill & Bin Peng & Russell Smyth & Quanda Zhang, 2022. "R&D intensity and income inequality in the G7: 1870–2016," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(3), pages 263-282, July.
    17. Henderson, Daniel J. & Maasoumi, Esfandiar, 2012. "Searching for Rehabilitation in Nonparametric Regression Models with Exogenous Treatment Assignment," IZA Discussion Papers 6874, Institute of Labor Economics (IZA).
    18. Michael Delgado, 2013. "A smooth coefficient model of carbon emissions," Empirical Economics, Springer, vol. 45(3), pages 1049-1071, December.
    19. Liu, Weiwei & Egan, Kevin J, 2019. "A Semiparametric Smooth Coefficient Estimator for Recreation Demand," MPRA Paper 95294, University Library of Munich, Germany.
    20. Bhaumik, Sumon K. & Dimova, Ralitza & Kumbhakar, Subal C. & Sun, Kai, 2014. "More Is Better! What Can Firm-Specific Estimates of the Impact of Institutional Quality on Performance Tell Us?," IZA Discussion Papers 7886, Institute of Labor Economics (IZA).
    21. Nicholas Marinucci & Kris Ivanovski, 2023. "Does Inequality Affect Climate Change? A Regional and Sectoral Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(3), pages 705-729, April.
    22. Camarero, Mariam & Peiró-Palomino, Jesús & Tamarit, Cecilio, 2019. "Growth in a time of external imbalances," Economic Modelling, Elsevier, vol. 79(C), pages 262-275.
    23. Diluiso, Francesca & Guastella, Gianni & Pareglio, Stefano, 2021. "Changes in urban green spaces’ value perception: A meta-analytic benefit transfer function for European cities," Land Use Policy, Elsevier, vol. 101(C).
    24. Ghazouani, Tarek, 2022. "Dynamic impact of globalization on renewable energy consumption: Non-parametric modelling evidence," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    25. Lee, Wang-Sheng, 2014. "Big and Tall: Is there a Height Premium or Obesity Penalty in the Labor Market?," IZA Discussion Papers 8606, Institute of Labor Economics (IZA).
    26. 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.
    27. Mustafa Koroglu, 2019. "Growth and Debt: An Endogenous Smooth Coefficient Approach," JRFM, MDPI, vol. 12(1), pages 1-22, February.

  36. Jeffrey S. Racine & Christopher F. Parmeter, 2012. "Data-Driven Model Evaluation: A Test for Revealed Performance," Department of Economics Working Papers 2012-13, McMaster University.

    Cited by:

    1. Steven F. Koch & Jeffrey S. Racine, 2013. "Health Care Facility Choice and User Fee Abolition: Regression Discontinuity in a Multinomial Choice Setting," Working Papers 201353, University of Pretoria, Department of Economics.
    2. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    3. Bontemps, Christophe & Racine, Jeffrey S. & Simioni, Michel, 2011. "Nonparametric vs parametric binary choice models: An empirical investigation," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 116005, European Association of Agricultural Economists.
    4. Huong Thi Trinh & Michel Simioni & Christine Thomas-Agnan, 2018. "Assessing the nonlinearity of the calorie-income relationship: an estimation strategy – with new insights on nutritional transition in Vietnam," Post-Print hal-02628994, HAL.
    5. Michael S. Delgado & Nadine McCloud, 2017. "Foreign direct investment and the domestic capital stock: the good–bad role of higher institutional quality," Empirical Economics, Springer, vol. 53(4), pages 1587-1637, December.
    6. Asaftei, Gabriel & Parmeter, Christopher F., 2010. "Market power, EU integration and privatization: The case of Romania," Journal of Comparative Economics, Elsevier, vol. 38(3), pages 340-356, September.
    7. Isabel Proença & Stefan Sperlich & Duygu Savaşcı, 2015. "Semi-mixed effects gravity models for bilateral trade," Empirical Economics, Springer, vol. 48(1), pages 361-387, February.
    8. Richard A. Ashley & Kwok Ping Tsang, 2014. "Credible Granger-Causality Inference with Modest Sample Lengths: A Cross-Sample Validation Approach," Econometrics, MDPI, vol. 2(1), pages 1-20, March.
    9. Geraldine Henningsen & Arne Henningsen & Christian Henning, 2015. "Transaction costs and social networks in productivity measurement," Empirical Economics, Springer, vol. 48(1), pages 493-515, February.

  37. Shahram Amini & Christopher F. Parmeter, 2011. "A Review of the `BMS' Package for R," Working Papers 2011-8, University of Miami, Department of Economics.

    Cited by:

    1. Leroi Raputsoane, 2014. "Disaggregated Credit Extension and Financial Distress in South Africa," Working Papers 435, Economic Research Southern Africa.
    2. Leroi RAPUTSOANE, 2016. "Real Effective Exchange Rates Comovements and the South African Currency," Journal of Economics Library, KSP Journals, vol. 3(1), pages 57-68, March.

  38. Daniel Henderson & John List & Daniel Millimet & Christopher Parmeter & Michael Price, 2011. "Empirical Implementation of Nonparametric First-Price Auction Models," Artefactual Field Experiments 00469, The Field Experiments Website.

    Cited by:

    1. Wu, Ximing & Sickles, Robin, 2018. "Semiparametric estimation under shape constraints," Econometrics and Statistics, Elsevier, vol. 6(C), pages 74-89.
    2. Federico Zincenko, 2016. "Nonparametric Estimation of First-Price Auctions with Risk-Averse Bidders," Working Paper 5855, Department of Economics, University of Pittsburgh.
    3. Jun Ma & Vadim Marmer & Artyom Shneyerov & Pai Xu, 2019. "Monotonicity-Constrained Nonparametric Estimation and Inference for First-Price Auctions," Papers 1909.12974, arXiv.org.
    4. Michael Delgado & Christopher Parmeter & Valentina Hartarska & Roy Mersland, 2015. "Should all microfinance institutions mobilize microsavings? Evidence from economies of scope," Empirical Economics, Springer, vol. 48(1), pages 193-225, February.
    5. Zheng Li & Guannan Liu & Qi Li, 2017. "Nonparametric Knn estimation with monotone constraints," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 988-1006, October.
    6. Yao Luo & Yuanyuan Wan, 2015. "Integrated-quantile-based estimation for first price auction models," Working Papers tecipa-539, University of Toronto, Department of Economics.
    7. Joris Pinkse & Karl Schurter, 2019. "Estimation of Auction Models with Shape Restrictions," Papers 1912.07466, arXiv.org.
    8. 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.
    9. Ma, Jun & Marmer, Vadim & Shneyerov, Artyom, 2019. "Inference for first-price auctions with Guerre, Perrigne, and Vuong’s estimator," Journal of Econometrics, Elsevier, vol. 211(2), pages 507-538.
    10. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    11. Satterthwaite, Mark A. & Williams, Steven R. & Zachariadis, Konstantinos E., 2014. "Optimality versus practicality in market design: A comparison of two double auctions," Games and Economic Behavior, Elsevier, vol. 86(C), pages 248-263.
    12. Sundström, David, 2016. "The Competition Effect in a Public Procurement Model: An error-in-variables approach," Umeå Economic Studies 920, Umeå University, Department of Economics, revised 17 Jun 2016.
    13. 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.
    14. Haitian Xie, 2023. "Grenander-type Density Estimation under Myerson Regularity," Papers 2305.09052, arXiv.org.
    15. Zhang, Yu Yvette, 2017. "A shape constrained estimator of bidding function of first-price sealed-bid auctions," Economics Letters, Elsevier, vol. 150(C), pages 67-72.
    16. Yashar Tarverdi, 2018. "Aspects of Governance and $$\hbox {CO}_2$$ CO 2 Emissions: A Non-linear Panel Data Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(1), pages 167-194, January.

  39. Daniel J. Henderson & Christopher F. Parmeter, 2011. "Normal Reference Bandwidths for the General Order, Multivariate Kernel Density Derivative Estimator," Working Papers 2011-15, University of Miami, Department of Economics.

    Cited by:

    1. Salim Bouzebda & Mohamed Chaouch & Sultana Didi Biha, 2022. "Asymptotics for function derivatives estimators based on stationary and ergodic discrete time processes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(4), pages 737-771, August.
    2. 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.
    3. 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.

  40. Shahram Amini & Christopher F. Parmeter, 2011. "Bayesian Model Averaging in R," Working Papers 2011-9, University of Miami, Department of Economics.

    Cited by:

    1. Leroi RAPUTSOANE, 2015. "Alternative Measures of Credit Extension for Countercyclical Buffer Decisions in South Africa," Turkish Economic Review, KSP Journals, vol. 2(4), pages 210-221, December.
    2. Riccardo (Jack) Lucchetti & Luca Pedini, 2020. "ParMA: Parallelised Bayesian Model Averaging for Generalised Linear Models," Working Papers 2020:28, Department of Economics, University of Venice "Ca' Foscari".
    3. Walid Oueslati & Julien Salanié & Junjie Wu, 2014. "Urbanization and Agricultural Structural Adjustments: Some Lessons from European Cities," Working Papers halshs-01098773, HAL.
    4. Leroi Raputsoane, 2014. "Disaggregated Credit Extension and Financial Distress in South Africa," Working Papers 435, Economic Research Southern Africa.
    5. Sara D'Andrea, 2022. "Are there any robust determinants of growth in Europe? A Bayesian Model Averaging approach," International Economics, CEPII research center, issue 171, pages 143-173.
    6. Feng Xu & Mohamad Sepehri & Jian Hua & Sergey Ivanov & Julius N. Anyu, 2018. "Time-Series Forecasting Models for Gasoline Prices in China," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(12), pages 1-43, December.
    7. Leroi RAPUTSOANE, 2016. "Real Effective Exchange Rates Comovements and the South African Currency," Journal of Economics Library, KSP Journals, vol. 3(1), pages 57-68, March.
    8. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    9. Blazejowski, Marcin & Kwiatkowski, Jacek, 2013. "Bayesian Model Averaging and Jointness Measures for gretl," MPRA Paper 44322, University Library of Munich, Germany.
    10. Man, Georg, 2015. "Competition and the growth of nations: International evidence from Bayesian model averaging," Economic Modelling, Elsevier, vol. 51(C), pages 491-501.
    11. Poudineh, Rahmatallah & Jamasb, Tooraj, 2016. "Determinants of investment under incentive regulation: The case of the Norwegian electricity distribution networks," Energy Economics, Elsevier, vol. 53(C), pages 193-202.
    12. Boonman, Tjeerd M., 2023. "Portfolio capital flows before and after the Global Financial Crisis," Economic Modelling, Elsevier, vol. 127(C).
    13. Yin‐Wong Cheung & Shi He, 2022. "RMB misalignment: What does a meta‐analysis tell us?," Review of International Economics, Wiley Blackwell, vol. 30(4), pages 1038-1086, September.
    14. Zeugner, Stefan & Feldkircher, Martin, 2015. "Bayesian Model Averaging Employing Fixed and Flexible Priors: The BMS Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i04).
    15. María Victoria Landaberry & Kenji Nakasone & Johann Pérez & María del Pilar Posada, 2022. "A predictive model of sovereign investment grade using machine learning and natural language processing," Documentos de trabajo 2022005, Banco Central del Uruguay.
    16. Shahram Amini & Christopher F. Parmeter, 2020. "A Review of the ‘BMS’ Package for R with Focus on Jointness," Econometrics, MDPI, vol. 8(1), pages 1-21, February.
    17. Boonman, Tjeerd, 2023. "Have drivers of portfolio capital flows changed since the Global Financial Crisis?," MPRA Paper 116507, University Library of Munich, Germany.

  41. Michele Battisti & Christopher F. Parmeter, 2011. "Income Polarization, Convergence Tools and Mixture Analysis," Working Papers 2011-17, University of Miami, Department of Economics.

    Cited by:

    1. Michele Battisti & Filippo Belloc & Massimo Del Gatto, 2012. "Unbundling Technology Adoption and TFP at the Firm Level. Do Intangibles Matter?," Working Paper series 71_12, Rimini Centre for Economic Analysis.
    2. Shahram Amini & Michele Battisti & Christopher F. Parmeter, 2011. "Decomposing The Conditional Variance of Cross-Country Output," Working Papers 2011-18, University of Miami, Department of Economics.
    3. Battisti, Michele & Parmeter, Christopher F., 2012. "GDP clustering: A reappraisal," Economics Letters, Elsevier, vol. 117(3), pages 837-840.
    4. Oleg Badunenko & Daniel Henderson & R. Russell, 2013. "Polarization of the worldwide distribution of productivity," Journal of Productivity Analysis, Springer, vol. 40(2), pages 153-171, October.

  42. Atasoy, Sibel & Mills, Bradford F. & Parmeter, Christopher F., 2010. "The Dynamics of Food Stamp Program Participation: A Lagged Dependent Variable Approach," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 60963, Agricultural and Applied Economics Association.

    Cited by:

    1. Scherpf, Erik & Cerf, Benjamin, 2017. "Local Labor Demand and Program Participation Dynamics: Evidence from New York SNAP Administrative Records," OSF Preprints q559t, Center for Open Science.
    2. Michael A. Kuhn, 2021. "Electronic Benefit Transfer and Food Expenditure Cycles," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(3), pages 744-773, June.
    3. Melvin, Shamar & Smith, Travis A., 2022. "From paper to plastic: How the transition to EBT affected SNAP enrollment," Economics Letters, Elsevier, vol. 220(C).
    4. Zheng, Yuqing & (Jason) Zhao, Jianqiang & Buck, Steven & Burney, Shaheer & Kaiser, Harry M. & Wilson, Norbert L., 2021. "Putting grocery food taxes on the table: Evidence for food security policy-makers," Food Policy, Elsevier, vol. 101(C).
    5. Jun Zhang & Yanghao Wang & Steven T. Yen, 2021. "Does Supplemental Nutrition Assistance Program Reduce Food Insecurity among Households with Children? Evidence from the Current Population Survey," IJERPH, MDPI, vol. 18(6), pages 1-15, March.
    6. Zhao, Jianqiang J. & Kaiser, Harry M. & Zheng, Yuqing, 2022. "Do grocery food taxes incentivize participation in SNAP?," Regional Science and Urban Economics, Elsevier, vol. 95(C).
    7. Erik Scherpf & Benjamin Cerf, 2016. "Local Labor Demand and Program Participation Dynamics," CARRA Working Papers 2016-10, Center for Economic Studies, U.S. Census Bureau.

  43. Michele Battisti & Christopher F. Parmeter, 2010. "Convergence Tools and Mixture Analysis," Working Papers CELEG 1007, Dipartimento di Economia e Finanza, LUISS Guido Carli.

    Cited by:

    1. Shahram Amini & Michele Battisti & Christopher F. Parmeter, 2011. "Decomposing The Conditional Variance of Cross-Country Output," Working Papers 2011-18, University of Miami, Department of Economics.

  44. Atasoy, Sibel & Mills, Bradford F. & Parmeter, Christopher F., 2010. "Paperless Food Assistance: The Impact of Electronic Benefits on Program Participation," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 60964, Agricultural and Applied Economics Association.

    Cited by:

    1. Elena Castellari & Chad Cotti & John Gordanier & Orgul Ozturk, 2017. "Does the Timing of Food Stamp Distribution Matter? A Panel‐Data Analysis of Monthly Purchasing Patterns of US Households," Health Economics, John Wiley & Sons, Ltd., vol. 26(11), pages 1380-1393, November.

  45. Daniel J. Henderson & Christopher F. Parmeter, 2010. "Canonical Higher-Order Kernels for Density Derivative Estimation," Working Papers 2011-14, University of Miami, Department of Economics.

    Cited by:

    1. Kairat Mynbaev & Carlos Martins-Filho & Aziza Aipenova, 2016. "A Class of Nonparametric Density Derivative Estimators Based on Global Lipschitz Conditions," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 591-615, Emerald Group Publishing Limited.
    2. Daniel J. Henderson & Christopher F. Parmeter, 2011. "Normal Reference Bandwidths for the General Order, Multivariate Kernel Density Derivative Estimator," Working Papers 2011-15, University of Miami, Department of Economics.
    3. Salim Bouzebda & Mohamed Chaouch & Sultana Didi Biha, 2022. "Asymptotics for function derivatives estimators based on stationary and ergodic discrete time processes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(4), pages 737-771, August.

  46. Hartarska, Valentina M. & Parmeter, Christopher F., 2009. "Scope Economies of Lending and Collecting Deposits in Microfinance Institutions," 2009 Conference, August 16-22, 2009, Beijing, China 51799, International Association of Agricultural Economists.

    Cited by:

    1. Lucia Dalla Pellegrina & Giorgio Di Maio & Paolo Landoni & Emanuele Rusinà, 2021. "Money management and entrepreneurial training in microfinance: impact on beneficiaries and institutions," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(3), pages 1049-1085, October.
    2. Ngore, Patrick Muthee, 2010. "Evaluation of Factors Influencing Value Addition by Butchery Agribusinesses in Igembe North District, Kenya," Research Theses 134498, Collaborative Masters Program in Agricultural and Applied Economics.

  47. Henderson, Daniel J. & Parmeter, Christopher F., 2009. "Imposing Economic Constraints in Nonparametric Regression: Survey, Implementation and Extension," IZA Discussion Papers 4103, Institute of Labor Economics (IZA).

    Cited by:

    1. Tae-Hwy Lee & Yundong Tu & Aman Ullah, 2014. "Nonparametric and Semiparametric Regressions Subject to Monotonicity Constraints: Estimation and Forecasting," Working Papers 201404, University of California at Riverside, Department of Economics.
    2. Jun Ma & Vadim Marmer & Artyom Shneyerov & Pai Xu, 2019. "Monotonicity-Constrained Nonparametric Estimation and Inference for First-Price Auctions," Papers 1909.12974, arXiv.org.
    3. 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.
    4. Don Harding, 2010. "Applying shape and phase restrictions in generalized dynamic categorical models of the business cycle," Working Papers 2010.05, School of Economics, La Trobe University.
    5. Zheng Li & Guannan Liu & Qi Li, 2017. "Nonparametric Knn estimation with monotone constraints," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 988-1006, October.
    6. 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.
    7. Olesen, O.B. & Ruggiero, J., 2022. "The hinging hyperplanes: An alternative nonparametric representation of a production function," European Journal of Operational Research, Elsevier, vol. 296(1), pages 254-266.
    8. 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.
    9. Henderson, Daniel J. & List, John A. & Millimet, Daniel L. & Parmeter, Christopher F. & Price, Michael K., 2012. "Empirical implementation of nonparametric first-price auction models," Journal of Econometrics, Elsevier, vol. 168(1), pages 17-28.
    10. Wolters, Mark A., 2012. "A particle swarm algorithm with broad applicability in shape-constrained estimation," Computational Statistics & Data Analysis, Elsevier, vol. 56(10), pages 2965-2975.
    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. Olesen, O.B. & Ruggiero, J., 2018. "An improved Afriat–Diewert–Parkan nonparametric production function estimator," European Journal of Operational Research, Elsevier, vol. 264(3), pages 1172-1188.
    13. Esteve, Miriam & Aparicio, Juan & Rodriguez-Sala, Jesus J. & Zhu, Joe, 2023. "Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull," European Journal of Operational Research, Elsevier, vol. 304(2), pages 729-744.
    14. Christopher Parmeter & Kai Sun & Daniel Henderson & Subal Kumbhakar, 2014. "Estimation and inference under economic restrictions," Journal of Productivity Analysis, Springer, vol. 41(1), pages 111-129, February.
    15. Yu Zhang & Jingping Gu & Qi Li, 2011. "Nonparametric panel estimation of online auction price processes," Empirical Economics, Springer, vol. 40(1), pages 51-68, February.
    16. Wenchuan Liu & Yu Zhang & Qi Li, 2015. "A semiparametric varying coefficient model of monotone auction bidding processes," Empirical Economics, Springer, vol. 48(1), pages 313-335, February.
    17. Valero-Carreras, Daniel & Aparicio, Juan & Guerrero, Nadia M., 2021. "Support vector frontiers: A new approach for estimating production functions through support vector machines," Omega, Elsevier, vol. 104(C).

  48. Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2008. "Hedonic Price Functions: Guidance On Empirical Specification," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6555, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Cited by:

    1. Gaetano Lisi, 2013. "On the Functional Form of the Hedonic Price Function: A Matching-theoretic Model and Empirical Evidence," International Real Estate Review, Global Social Science Institute, vol. 16(2), pages 189-207.
    2. Wieser, Robert, 2009. "Parameterstabilität in hedonischen Bodenpreismodellen [Stability of Parameters in Hedonic Urban Land Price Models]," MPRA Paper 65859, University Library of Munich, Germany.
    3. Lisi, Gaetano, 2012. "On the theoretical derivation of a functional form for the hedonic price function," MPRA Paper 37066, University Library of Munich, Germany.
    4. Lisi, Gaetano & Iacobini, Mauro, 2012. "Estimation of a Hedonic House Price Model with Bargaining: Evidence from the Italian Housing Market," MPRA Paper 66474, University Library of Munich, Germany.

  49. Henderson, Daniel J. & Papageorgiou, Chris & Parmeter, Christopher F., 2008. "Are any growth theories linear? Why we should care about what the evidence tells us," MPRA Paper 8767, University Library of Munich, Germany.

    Cited by:

    1. Rodríguez, Francisco & Shelton, Cameron A., 2013. "Cleaning up the kitchen sink: Specification tests and average derivative estimators for growth econometrics," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 260-273.
    2. Thanasis Stengos & Costantina Kottaridi, 2008. "Foreign Direct Investment, Human Capital And Nonlinearities In Economic Growth," Working Paper series 20_08, Rimini Centre for Economic Analysis.
    3. Aurangzeb Zeb & Thanasis Stengos, 2013. "The Role of Foreign Direct Investment (FDI) in a Dualistic Growth Framework: An Application of Smooth Coefficient Semi-parametric Approach," Working Paper series 55_13, Rimini Centre for Economic Analysis.
    4. Libman, Alexander, 2008. "Democracy and growth: is the effect non-linear?," MPRA Paper 17795, University Library of Munich, Germany.

  50. William C. Horrace & Christopher F. Parmeter, 2008. "Semiparametric Deconvolution with Unknown Error Variance," Center for Policy Research Working Papers 104, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Abdelaati Daouia & Jean-Pierre Florens & Léopold Simar, 2020. "Robust frontier estimation from noisy data: a Tikhonov regularization approach," Post-Print hal-02573853, HAL.
    2. William C. Horrace & Ian A. Wright, 2016. "Stationary Points for Parametric Stochastic Frontier Models," Center for Policy Research Working Papers 196, Center for Policy Research, Maxwell School, Syracuse University.
    3. 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.
    4. Dai, Xiaofeng, 2016. "Non-parametric efficiency estimation using Richardson–Lucy blind deconvolution," European Journal of Operational Research, Elsevier, vol. 248(2), pages 731-739.
    5. William C. Horrace & Christopher F. Parmeter, 2018. "A Laplace stochastic frontier model," Econometric Reviews, Taylor & Francis Journals, vol. 37(3), pages 260-280, March.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    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. Qu Feng & William Horrace & Guiying Laura Wu, 2013. "Wrong Skewness and Finite Sample Correction in Parametric Stochastic Frontier Models Abstract: In parametric stochastic frontier models, the composed error is specified as the sum of a two-sided noise," Center for Policy Research Working Papers 154, Center for Policy Research, Maxwell School, Syracuse University.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Yiping Yang & Tiejun Tong & Gaorong Li, 2019. "SIMEX estimation for single-index model with covariate measurement error," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 103(1), pages 137-161, March.

  51. Grant, Jason H. & Parmeter, Christopher F., 2008. "Has The World Trade Organization Promoted Successful Regional Trade Agreements?," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6551, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Cited by:

    1. Hamanaka, Shintaro, 2014. "Study of Non-Notified Trade Agreements to the World Trade Organization: The Case of Asia and Pacific Region," Working Papers on Regional Economic Integration 132, Asian Development Bank.

  52. Henderson, Daniel J. & List, John A. & Millimet, Daniel L. & Parmeter, Christopher F. & Price, Michael K., 2008. "Imposing Monotonicity Nonparametrically in First-Price Auctions," MPRA Paper 8769, University Library of Munich, Germany.

    Cited by:

    1. Henderson, Daniel J. & Parmeter, Christopher F., 2009. "Imposing Economic Constraints in Nonparametric Regression: Survey, Implementation and Extension," IZA Discussion Papers 4103, Institute of Labor Economics (IZA).
    2. Pietro Ortoleva & Erik Snowberg, 2013. "Overconfidence in Political Behavior," NBER Working Papers 19250, National Bureau of Economic Research, Inc.
    3. Canale, Antonio & Vantini, Simone, 2016. "Constrained functional time series: Applications to the Italian gas market," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1340-1351.

Articles

  1. Jetter, Michael & Mahmood, Rafat & Parmeter, Christopher F. & Ramírez-Hassan, Andrés, 2022. "Post-Cold War civil conflict and the role of history and religion: A stochastic search variable selection approach," Economic Modelling, Elsevier, vol. 114(C).

    Cited by:

    1. Assi Okara, 2023. "Does Foreign Direct Investment Promote Political Stability? Evidence from Developing Economies," Post-Print hal-04093330, HAL.

  2. Battisti, Michele & Gatto, Massimo Del & Parmeter, Christopher F., 2022. "Skill-biased technical change and labor market inefficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).

    Cited by:

    1. Emir Malikov & Shunan Zhao & Jingfang Zhang, 2024. "A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity," Advances in Econometrics, in: Essays in Honor of Subal Kumbhakar, volume 46, pages 211-263, Emerald Group Publishing Limited.

  3. Alecos Papadopoulos & Christopher F. Parmeter, 2022. "Quantile Methods for Stochastic Frontier Analysis," Foundations and Trends(R) in Econometrics, now publishers, vol. 12(1), pages 1-120, November.

    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. Alecos Papadopoulos, 2023. "The noise error component in stochastic frontier analysis," Empirical Economics, Springer, vol. 64(6), pages 2795-2829, June.
    3. Aliya Alimhanova & Andrey Vazhdaev & Artur Mitsel & Anatoly Sidorov, 2022. "Dynamic Model of Enterprise Revenue Management Based on the SFA Model," Mathematics, MDPI, vol. 11(1), pages 1-13, December.
    4. Alecos Papadopoulos, 2024. "Some notes on the asymmetry of the regression error," Journal of Productivity Analysis, Springer, vol. 61(1), pages 37-42, February.

  4. Daniel L. Millimet & Christopher F. Parmeter, 2022. "COVID‐19 severity: A new approach to quantifying global cases and deaths," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1178-1215, July.
    See citations under working paper version above.
  5. 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.

    Cited by:

    1. Yang, Zhuyu & Barroca, Bruno & Laffréchine, Katia & Weppe, Alexandre & Bony-Dandrieux, Aurélia & Daclin, Nicolas, 2023. "A multi-criteria framework for critical infrastructure systems resilience," International Journal of Critical Infrastructure Protection, Elsevier, vol. 42(C).
    2. 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.

  6. 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.

    Cited by:

    1. Nikolskiy, Ilya & Furmanov, Kirill, 2023. "Assessing the accuracy of efficiency rankings obtained from a stochastic frontier model," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 71, pages 128-142.

  7. Millimet, Daniel L. & Parmeter, Christopher F., 2022. "Accounting for Skewed or One-Sided Measurement Error in the Dependent Variable," Political Analysis, Cambridge University Press, vol. 30(1), pages 66-88, January.
    See citations under working paper version above.
  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.

    Cited by:

    1. Oleg Badunenko & Daniel J. Henderson, 2024. "Production analysis with asymmetric noise," Journal of Productivity Analysis, Springer, vol. 61(1), pages 1-18, February.
    2. 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).
    3. Tsionas, Mike G., 2023. "Minimax regret priors for efficiency estimation," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1279-1285.
    4. 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.
    5. Christopher F. Parmeter & Shirong Zhao, 2023. "An alternative corrected ordinary least squares estimator for the stochastic frontier model," Empirical Economics, Springer, vol. 64(6), pages 2831-2857, June.
    6. William C. Horrace & Christopher F. Parmeter & Ian A. Wright, 2024. "On asymmetry and quantile estimation of the stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 61(1), pages 19-36, February.
    7. 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).
    8. 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.
    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.

  9. Papadopoulos, Alecos & Parmeter, Christopher F., 2021. "Type II failure and specification testing in the Stochastic Frontier Model," European Journal of Operational Research, Elsevier, vol. 293(3), pages 990-1001.

    Cited by:

    1. Oleg Badunenko & Daniel J. Henderson, 2024. "Production analysis with asymmetric noise," Journal of Productivity Analysis, Springer, vol. 61(1), pages 1-18, February.
    2. 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.
    3. 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.
    4. 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.
    5. Tsionas, Mike G., 2023. "Minimax regret priors for efficiency estimation," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1279-1285.
    6. Christopher F. Parmeter & Shirong Zhao, 2023. "An alternative corrected ordinary least squares estimator for the stochastic frontier model," Empirical Economics, Springer, vol. 64(6), pages 2831-2857, June.
    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. Millimet, Daniel L. & Parmeter, Christopher F., 2021. "COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths," IZA Discussion Papers 14116, Institute of Labor Economics (IZA).
    9. William C. Horrace & Christopher F. Parmeter & Ian A. Wright, 2024. "On asymmetry and quantile estimation of the stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 61(1), pages 19-36, February.
    10. 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).
    11. Alecos Papadopoulos, 2021. "Stochastic frontier models using the Generalized Exponential distribution," Journal of Productivity Analysis, Springer, vol. 55(1), pages 15-29, February.

  10. 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.

    Cited by:

    1. Schmidt, Rouven & Kneib, Thomas, 2023. "Multivariate distributional stochastic frontier models," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).
    2. 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.

  11. Moh’d Al-Azzam & Christopher Parmeter, 2021. "Competition and microcredit interest rates: international evidence," Empirical Economics, Springer, vol. 60(2), pages 829-868, February.

    Cited by:

    1. Giovanna Aguilar & Jhonatan Portilla, 2023. "The nonlinearity of the relationship between competition and the dual performance of regulated microfinance institutions in Peru," SN Business & Economics, Springer, vol. 3(7), pages 1-27, July.
    2. Tristan Caballero-Montes, 2023. "Integrating market conditions into regulatory decisions on microfinance interest rates: does competition matter?," Annals of Finance, Springer, vol. 19(2), pages 201-232, June.
    3. Al-Azzam, Moh'd & Mimouni, Karim & Smaoui, Houcem & Temimi, Akram, 2022. "Subsidies vs. deposits and cost inefficiency in microfinance," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 212-235.
    4. Md Aslam Mia, 2024. "Loyalty of rural microfinance borrowers: International evidence," Bulletin of Economic Research, Wiley Blackwell, vol. 76(1), pages 67-94, January.

  12. 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.
    See citations under working paper version above.
  13. Al-Azzam, Moh’d & Parmeter, Christopher F. & Sarangi, Sudipta, 2020. "On the complex relationship between different aspects of social capital and group loan repayment," Economic Modelling, Elsevier, vol. 90(C), pages 92-107.

    Cited by:

    1. Selay Sahan & Euan Phimister, 2023. "Repayment performance of joint‐liability microcredits: Metropolitan evidence on social capital and group names," Bulletin of Economic Research, Wiley Blackwell, vol. 75(2), pages 287-311, April.
    2. Dang, Le Phuong Xuan & Hoang, Viet-Ngu & Nghiem, Son Hong & Wilson, Clevo, 2023. "Social networks with organisational resource, generalised trust and informal loans: Evidence from rural Vietnam," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 388-402.
    3. Pasiouras, Fotios & Samet, Anis, 2022. "Social capital and the cost of bank equity: Cross-country evidence," Journal of Banking & Finance, Elsevier, vol. 141(C).
    4. Li, Qinghai & Yu, Yangcheng & Li, Yanru & Sun, Guanglin, 2023. "Heterogeneous Social network shape ability and willingness of rural residents to repay loans in China," Research in International Business and Finance, Elsevier, vol. 65(C).
    5. Bátiz-Zuk Enrique & González-Holden Alexa, 2023. "Identifying Gender Disparities on the Time to Repay Microfinance Group Loans: Evidence from Mexico," Working Papers 2023-07, Banco de México.

  14. 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.

    Cited by:

    1. 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.
    2. 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.

  15. Richard A. Ashley & Christopher F. Parmeter, 2020. "Sensitivity Analysis of an OLS Multiple Regression Inference with Respect to Possible Linear Endogeneity in the Explanatory Variables, for Both Modest and for Extremely Large Samples," Econometrics, MDPI, vol. 8(1), pages 1-24, March.

    Cited by:

    1. Yu, Zhen & Wang, Yilan & Ma, Xiaoqian & Shuai, Chuanmin & Zhao, Yujia, 2023. "How critical mineral supply security affects China NEVs industry? Based on a prediction for chromium and cobalt in 2030," Resources Policy, Elsevier, vol. 85(PB).

  16. McCloud, Nadine & Parmeter, Christopher F., 2020. "Determining the Number of Effective Parameters in Kernel Density Estimation," Computational Statistics & Data Analysis, Elsevier, vol. 143(C).

    Cited by:

    1. Kirkby, J. Lars & Leitao, Álvaro & Nguyen, Duy, 2021. "Nonparametric density estimation and bandwidth selection with B-spline bases: A novel Galerkin method," Computational Statistics & Data Analysis, Elsevier, vol. 159(C).

  17. 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.

    Cited by:

    1. Bao Hoang Nguyen & Valentin Zelenyuk, 2020. "Robust efficiency analysis of public hospitals in Queensland, Australia," CEPA Working Papers Series WP052020, School of Economics, University of Queensland, Australia.
    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. Andor, Mark Andreas & Bernstein, David H. & Sommer, Stephan, 2020. "Determining the efficiency of residential electricity consumption," Ruhr Economic Papers 870, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
    5. Khezrimotlagh, Dariush, 2022. "Simulation designs for production frontiers," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1321-1334.
    6. Akihiro Otsuka, 2023. "Stochastic demand frontier analysis of residential electricity demands in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 179-195, March.
    7. 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.
    8. 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.
    9. Radovanović, Sandro & Savić, Gordana & Delibašić, Boris & Suknović, Milija, 2022. "FairDEA—Removing disparate impact from efficiency scores," European Journal of Operational Research, Elsevier, vol. 301(3), pages 1088-1098.
    10. Yan Meng & Christopher F. Parmeter & Valentin Zelenyuk, 2023. "Is newer always better? A reinvestigation of productivity dynamics using updated PWT data," Journal of Productivity Analysis, Springer, vol. 59(1), pages 1-13, February.
    11. 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.
    12. Tsionas, Mike G., 2023. "Clustering and meta-envelopment in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 304(2), pages 763-778.
    13. 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.
    14. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    15. 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.
    16. 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.
    17. Mike G. Tsionas & Valentin Zelenyuk, 2022. "Testing for Optimization Behavior in Production when Data is with Measurement Errors: A Bayesian Approach," CEPA Working Papers Series WP012022, School of Economics, University of Queensland, Australia.
    18. 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.

  18. Fitzpatrick, Luke & Parmeter, Christopher F. & Agar, Juan, 2019. "Approaches for visualizing uncertainty in benefit transfer from metaregression," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.

    Cited by:

    1. D'Alberto, Riccardo & Zavalloni, Matteo & Raggi, Meri & Viaggi, Davide, 2021. "A Statistical Matching approach to reproduce the heterogeneity of willingness to pay in benefit transfer," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).

  19. Andor, Mark A. & Parmeter, Christopher & Sommer, Stephan, 2019. "Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes," European Journal of Operational Research, Elsevier, vol. 274(1), pages 240-252.
    See citations under working paper version above.
  20. Bernstein, David H. & Parmeter, Christopher F., 2019. "Returns to scale in electricity generation: Replicated and revisited," Energy Economics, Elsevier, vol. 82(C), pages 4-15.

    Cited by:

    1. 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).

  21. 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.
    See citations under working paper version above.
  22. Jradi, Samah & Parmeter, Christopher F. & Ruggiero, John, 2019. "Quantile estimation of the stochastic frontier model," Economics Letters, Elsevier, vol. 182(C), pages 15-18.

    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. Tsionas, Mike G., 2020. "Quantile Stochastic Frontiers," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1177-1184.
    3. Olesen, O.B. & Ruggiero, J., 2022. "The hinging hyperplanes: An alternative nonparametric representation of a production function," European Journal of Operational Research, Elsevier, vol. 296(1), pages 254-266.
    4. Tsionas, Mike G. & Assaf, A. George & Andrikopoulos, Athanasios, 2020. "Quantile stochastic frontier models with endogeneity," Economics Letters, Elsevier, vol. 188(C).
    5. 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.
    6. Christopher F. Parmeter & Shirong Zhao, 2023. "An alternative corrected ordinary least squares estimator for the stochastic frontier model," Empirical Economics, Springer, vol. 64(6), pages 2831-2857, June.
    7. 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.
    8. William C. Horrace & Christopher F. Parmeter & Ian A. Wright, 2024. "On asymmetry and quantile estimation of the stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 61(1), pages 19-36, February.
    9. 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).
    10. 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.
    11. Zhang, Ning & Huang, Xuhui & Liu, Yunxiao, 2021. "The cost of low-carbon transition for China's coal-fired power plants: A quantile frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    12. 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.
    13. 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.
    14. 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.

  23. Michael Jetter & Christopher F. Parmeter, 2018. "Does Urbanization Mean Bigger Governments?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 120(4), pages 1202-1228, October.
    See citations under working paper version above.
  24. Michele Battisti & Massimo Del Gatto & Christopher F. Parmeter, 2018. "Labor productivity growth: disentangling technology and capital accumulation," Journal of Economic Growth, Springer, vol. 23(1), pages 111-143, March.

    Cited by:

    1. Alam, Md. Samsul & Miah, Mohammad Dulal & Hammoudeh, Shawkat & Tiwari, Aviral Kumar, 2018. "The nexus between access to electricity and labour productivity in developing countries," Energy Policy, Elsevier, vol. 122(C), pages 715-726.
    2. Battisti, Michele & Gatto, Massimo Del & Parmeter, Christopher F., 2022. "Skill-biased technical change and labor market inefficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    3. M. Battisti & F. Belloc & M. Del Gatto, 2017. "Technology-specific Production Functions," Working Paper CRENoS 201709, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    4. Emanuela Carbonara & Giuseppina Gianfreda & Enrico Santarelli & Giovanna Vallanti, 2019. "The Impact of Intellectual Property Rights on Labor Productivity: Do Constitutions Matter?," Working Papers LuissLab 19151, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    5. Vu, Khuong & Hartley, Kris, 2022. "Sources of transport sector labor productivity performance in industrialized countries: Insights from a decomposition analysis," Transport Policy, Elsevier, vol. 129(C), pages 204-218.
    6. Xuesong Gu & Xiaoran An & Andong Liu, 2022. "Environmental Regulation, Corporate Economic Performance and Spatial Technology Spillover: Evidence from China’s Heavily Polluting Listed Corporations," IJERPH, MDPI, vol. 19(3), pages 1-24, January.
    7. Boris Lavrovskii, 2018. "Assessment of Innovation Intensity: the Case of USA," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 281-291.
    8. Michele Battisti & Filippo Belloc & Massimo Del Gatto, 2020. "Labor Productivity and Firm-Level TFP with Technology-Specific Production Function," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 35, pages 283-300, January.
    9. Boris A. Kheyfets & Boris A. Kheyfets & Veronika Yu. Chernova & Veronika Yu. Chernova, 2019. "Sustainable agriculture in Russia: research on the dynamics of innovation activity and labor productivity," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(2), pages 814-824, December.

  25. Jetter, Michael & Parmeter, Christopher F., 2018. "Sorting through global corruption determinants: Institutions and education matter – Not culture," World Development, Elsevier, vol. 109(C), pages 279-294.

    Cited by:

    1. Hübler, Olaf & Koch, Melanie & Menkhoff, Lukas & Schmidt, Ulrich, 2021. "Corruption and cheating: Evidence from rural Thailand," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 145, pages 1-43.
    2. 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.
    3. Mariem Jaafra & Houssem Rachd, 2022. "Education and Economic Growth: ıs There a Role for Governance? a Comparison between MENA and OECD Countries," Eurasian Journal of Social Sciences, Eurasian Publications, vol. 10(4), pages 236-251.
    4. Klaus Gründler & Niklas Potrafke, 2019. "Corruption and Economic Growth: New Empirical Evidence," CESifo Working Paper Series 7816, CESifo.
    5. Rajeev K. Goel & Michael A. Nelson, 2021. "Direct and indirect influences of political regimes on corruption," Social Science Quarterly, Southwestern Social Science Association, vol. 102(4), pages 1569-1589, July.
    6. Amr Khafagy & Mauro Vigani, 2023. "External finance and agricultural productivity growth," Agribusiness, John Wiley & Sons, Ltd., vol. 39(2), pages 448-472, March.
    7. Salvatore Capasso & Rajeev K. Goel & James W. Saunoris, 2018. "Is it the Gums, Teeth or the Bite? Effectiveness of Dimensions of Enforcement in Curbing Corruption," CESifo Working Paper Series 7316, CESifo.
    8. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    9. Stefan Borsky & Katja Kalkschmied, 2018. "Corruption in space: A closer look at the world's subnations," Graz Economics Papers 2018-18, University of Graz, Department of Economics.
    10. Rajeev K. Goel & Michael A. Nelson, 2019. "Corruption beyond the glass ceiling: do women entrepreneurs perceive corruption differently?," CESifo Working Paper Series 7606, CESifo.
    11. Kamal, Mustafa & Blacklow, Paul, 2022. "Self-control and risk aversion in the Australian gender wage gap," Working Papers 2022-01, University of Tasmania, Tasmanian School of Business and Economics.
    12. Nicholas Apergis & Mehmet Pinar, 2023. "Corruption and partisan polarization: evidence from the European Union," Empirical Economics, Springer, vol. 64(1), pages 277-301, January.
    13. Overman, Han & Cummings, Anthony R. & Luzar, Jeffrey B. & Fragoso, Jose M.V., 2019. "National REDD+ outcompetes gold and logging: The potential of cleaning profit chains," World Development, Elsevier, vol. 118(C), pages 16-26.
    14. Omar A. Guerrero & Gonzalo Casta~neda, 2019. "Does Better Governance Guarantee Less Corruption? Evidence of Loss in Effectiveness of the Rule of Law," Papers 1902.00428, arXiv.org.
    15. Kamal, Mustafa & Blacklow, Paul, 2021. "Attitudes to gender and personality in the Australian gender wage gap," Working Papers 2021-07, University of Tasmania, Tasmanian School of Business and Economics.
    16. Wu, Yan & Yang, Yong & Mickiewicz, Tomasz, 2023. "Corruption, the digital sectors, and the profitability of foreign subsidiaries in emerging markets," Journal of Business Research, Elsevier, vol. 161(C).
    17. Berdiev, Aziz N. & Goel, Rajeev K. & Saunoris, James W., 2020. "The path from ethnic inequality to development: The intermediary role of institutional quality," World Development, Elsevier, vol. 130(C).
    18. Sylvain B. Ngassam & Simplice Asongu & Gildas T. Ngueleweu, 2023. "Social media use for offline political action (OPA) and corruption in Africa: impacts and transmission channels," Working Papers of the African Governance and Development Institute. 23/059, African Governance and Development Institute..
    19. Sajad Rahimian, 2021. "The Determinants of Democracy Revisited: An Instrumental Variable Bayesian Model Averaging Approach," Papers 2103.04255, arXiv.org.
    20. Sajad Rahimian, 2021. "Corruption Determinants, Geography, and Model Uncertainty," Papers 2105.12878, arXiv.org.
    21. Spyridon Boikos & Mehmet Pinar & Thanasis Stengos, 2023. "Bribery, on-the-job training, and firm performance," Small Business Economics, Springer, vol. 60(1), pages 37-58, January.
    22. Nugroho S. B. Maria & Indah Susilowati & Salman Fathoni & Izza Mafruhah, 2021. "The Effect of Education and Macroeconomic Variables on Corruption Index in G20 Member Countries," Economies, MDPI, vol. 9(1), pages 1-13, February.
    23. Martin Mosler, 2020. "Autocrats in the United Nations General Assembly: A Test of the Decoy Voting Hypothesis," ifo Working Paper Series 340, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    24. Omar A. Guerrero & Gonzalo Castañeda, 2021. "Does expenditure in public governance guarantee less corruption? Non-linearities and complementarities of the rule of law," Economics of Governance, Springer, vol. 22(2), pages 139-164, June.
    25. Goel, Rajeev K. & Nelson, Michael A. & Goel, Viraat Y., 2021. "COVID-19 vaccine rollout—scale and speed carry different implications for corruption," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 503-520.
    26. Mahmoudi, Fahimeh & Bagheri Majd, Rouhollah, 2021. "The effect of lean culture on the reduction of academic corruption by the mediating role of positive organizational politics in higher education," International Journal of Educational Development, Elsevier, vol. 80(C).
    27. Mosler, Martin, 2021. "Autocrats in the United Nations General Assembly: A test of the decoy voting hypothesis," European Journal of Political Economy, Elsevier, vol. 67(C).
    28. Aidt, Toke S. & Hillman, Arye L. & Qijun, LIU, 2020. "Who takes bribes and how much? Evidence from the China Corruption Conviction Databank," World Development, Elsevier, vol. 133(C).

  26. Christopher F. Parmeter, 2018. "Estimation of the two-tiered stochastic frontier model with the scaling property," Journal of Productivity Analysis, Springer, vol. 49(1), pages 37-47, February.
    See citations under working paper version above.
  27. William C. Horrace & Christopher F. Parmeter, 2018. "A Laplace stochastic frontier model," Econometric Reviews, Taylor & Francis Journals, vol. 37(3), pages 260-280, March.
    See citations under working paper version above.
  28. Amini, Shahram & Battisti, Michele & Parmeter, Christopher F., 2017. "Decomposing changes in the conditional variance of GDP over time," Economic Modelling, Elsevier, vol. 61(C), pages 376-387.

    Cited by:

    1. Beatriz Barrado & Gregorio Gimenez & Jaime Sanaú, 2021. "The Use of Decomposition Methods to Understand the Economic Growth Gap between Latin America and East Asia," Sustainability, MDPI, vol. 13(12), pages 1-18, June.

  29. Chu, Chi-Yang & Henderson, Daniel J. & Parmeter, Christopher F., 2017. "On discrete Epanechnikov kernel functions," Computational Statistics & Data Analysis, Elsevier, vol. 116(C), pages 79-105.

    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. Amina Ika Micah, 2022. "Three essays on access to credit and financial shock in Nigeria," Economics PhD Theses 0422, Department of Economics, University of Sussex Business School.
    3. Jeffrey S. Racine & Qi Li & Karen X. Yan, 2020. "Kernel smoothed probability mass functions for ordered datatypes," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 32(3), pages 563-586, July.
    4. Guohua Feng & Jiti Gao & Xiaohui Zhang, 2016. "Estimation of Technical Change and Price Elasticities: A Categorical Time-varying Coefficient Approach," Monash Econometrics and Business Statistics Working Papers 2/16, Monash University, Department of Econometrics and Business Statistics.
    5. Stefan Sperlich, 2022. "Comments on: hybrid semiparametric Bayesian networks," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(2), pages 335-339, June.
    6. Hongtao Ma & Yuan Meng & Hanfa Xing & Cansong Li, 2019. "Investigating Road-Constrained Spatial Distributions and Semantic Attractiveness for Area of Interest," Sustainability, MDPI, vol. 11(17), pages 1-15, August.

  30. Mark Andor & Christopher Parmeter, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5651-5661, November.
    See citations under working paper version above.
  31. Fitzpatrick, Luke & Parmeter, Christopher F. & Agar, Juan, 2017. "Threshold Effects in Meta-Analyses With Application to Benefit Transfer for Coral Reef Valuation," Ecological Economics, Elsevier, vol. 133(C), pages 74-85.
    See citations under working paper version above.
  32. William C. Horrace & Christopher F. Parmeter, 2017. "Accounting for Multiplicity in Inference on Economics Journal Rankings," Southern Economic Journal, John Wiley & Sons, vol. 84(1), pages 337-347, July.
    See citations under working paper version above.
  33. 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.

    Cited by:

    1. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
    2. Mike G. Tsionas & Subal C. Kumbhakar, 2023. "Proxy variable estimation of productivity and efficiency," Southern Economic Journal, John Wiley & Sons, vol. 89(3), pages 885-923, January.
    3. 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.
    4. 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).
    5. Paul, Satya & Shankar, Sriram, 2018. "On estimating efficiency effects in a stochastic frontier model," European Journal of Operational Research, Elsevier, vol. 271(2), pages 769-774.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Paul, Satya & Shankar, Sriram, 2018. "Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier," MPRA Paper 87437, University Library of Munich, Germany.
    11. 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.
    12. 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.
    13. 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.
    14. Václava Pánková, 2019. "Are efficient firms motivated to invest? Evidence of manufacture of motor vehicles in Czech Republic," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(3), pages 67-76.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.

  34. Henderson Daniel J. & Parmeter Christopher F., 2017. "Root-n Consistent Kernel Density Estimation in Practice," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-10, January.

    Cited by:

    1. Henderson, Daniel J. & Sheehan, Alice, 2018. "Kernel-based testing with skewed and heavy-tailed data: Evidence from a nonparametric test for heteroskedasticity," Economics Letters, Elsevier, vol. 172(C), pages 8-11.
    2. McCloud, Nadine & Parmeter, Christopher F., 2020. "Determining the Number of Effective Parameters in Kernel Density Estimation," Computational Statistics & Data Analysis, Elsevier, vol. 143(C).

  35. Henderson, Daniel J. & Parmeter, Christopher F., 2015. "A consistent bootstrap procedure for nonparametric symmetry tests," Economics Letters, Elsevier, vol. 131(C), pages 78-82.

    Cited by:

    1. Dai, Xinjie & Niu, Cuizhen & Guo, Xu, 2018. "Testing for central symmetry and inference of the unknown center," Computational Statistics & Data Analysis, Elsevier, vol. 127(C), pages 15-31.
    2. 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.
    3. Lyubchich, Vyacheslav & Wang, Xingyu & Heyes, Andrew & Gel, Yulia R., 2016. "A distribution-free m-out-of-n bootstrap approach to testing symmetry about an unknown median," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 1-9.
    4. Niu, Cuizhen & Guo, Xu & Li, Yong & Zhu, Lixing, 2018. "Pairwise distance-based tests for conditional symmetry," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 145-162.

  36. Jetter, Michael & Parmeter, Christopher F., 2015. "Trade openness and bigger governments: The role of country size revisited," European Journal of Political Economy, Elsevier, vol. 37(C), pages 49-63.

    Cited by:

    1. Government Primož Pevcin, 2020. "Government Size and Quality of Governance: Does State Size Matter?," 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. 13(3), pages 7-14, December.
    2. Esteban Alemán Correa & Michael Jetter & Alejandra Montoya Agudelo, 2016. "Corruption: Transcending Borders," Kyklos, Wiley Blackwell, vol. 69(2), pages 183-207, May.
    3. Krieger, Tim & Meierrieks, Daniel, 2018. "Population size and the size of government," Discussion Paper Series 2018-03, University of Freiburg, Wilfried Guth Endowed Chair for Constitutional Political Economy and Competition Policy.
    4. Giray Gozgor & Priya Ranjan, 2015. "Globalization, Inequality, and Redistribution: Theory and Evidence," Working Papers 151601, University of California-Irvine, Department of Economics.
    5. Kevin Williams, 2021. "Does national income mediate the relationship between trade and government size?," Empirical Economics, Springer, vol. 61(6), pages 3029-3057, December.
    6. Ahmet Tekin & İbrahim Tuğrul Çınar & Ersin Nail Sağdıç & Fazlı Yıldız, 2023. "Trade Openness and Sustainable Government Size: Evidence from Central and Eastern European Countries," Sustainability, MDPI, vol. 15(15), pages 1-17, August.
    7. Edward Anderson & Samuel Obeng, 2021. "Globalisation and government spending: Evidence for the ‘hyper‐globalisation’ of the 1990s and 2000s," The World Economy, Wiley Blackwell, vol. 44(5), pages 1144-1176, May.
    8. Michael Jetter & David Stadelmann, 2019. "Terror per Capita," Southern Economic Journal, John Wiley & Sons, vol. 86(1), pages 286-304, July.
    9. Debski, Julia & Jetter, Michael & Mösle, Saskia & Stadelmann, David, 2018. "Gender and corruption: The neglected role of culture," European Journal of Political Economy, Elsevier, vol. 55(C), pages 526-537.
    10. Mohammad Farhad & Michael Jetter, 2019. "On the Relationship between Trade Openness and Government Size," CESifo Working Paper Series 7832, CESifo.
    11. Bergh, Andreas, 2019. "The Compensation Hypothesis Revisited and Reversed," Working Paper Series 1273, Research Institute of Industrial Economics.
    12. Michael Jetter & Christopher F. Parmeter, 2020. "Reply to “A Replication of “Sorting through Global Corruption Determinants: Institutions and Education Matter— Not Culture†(World Development, 2018)â€," Public Finance Review, , vol. 48(4), pages 568-576, July.
    13. Bergh, Andreas & Mirkina, Irina & Nilsson, Therese, 2019. "Can Social Spending Cushion the Inequality Effect of Globalization?," Working Paper Series 1286, Research Institute of Industrial Economics.
    14. Ostry, Jonathan D. & Espinoza, Raphael & Zhang, Xiaoxiao, 2019. "Globalization, Redistribution, and the Size of Government," CEPR Discussion Papers 14137, C.E.P.R. Discussion Papers.
    15. Erkam Sari & Hakan Hotunluoglu, 2021. "Government Size and Openness: Insights Basedon Country Classifications," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 7(1), pages 1-16, June.
    16. Kevin Williams, 2021. "Do International Sanctions Reduce Household and Government Consumption in Developing Countries?," South African Journal of Economics, Economic Society of South Africa, vol. 89(2), pages 196-217, June.
    17. Ma, Yong & Yao, Chi, 2022. "Openness and government size: Revisiting the relationship using a large cross-country panel," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 448-465.
    18. Dong-Hyeon Kim & Yu-Bo Suen & Shu-Chin Lin & Joyce Hsieh, 2018. "Government size, government debt and globalization," Applied Economics, Taylor & Francis Journals, vol. 50(25), pages 2792-2803, May.
    19. Jetter, Michael & Parmeter, Christopher F., 2018. "Sorting through global corruption determinants: Institutions and education matter – Not culture," World Development, Elsevier, vol. 109(C), pages 279-294.
    20. Vianna, Andre C. & Mollick, Andre V., 2018. "Government size and openness: Evidence from the commodity boom in Latin America," Resources Policy, Elsevier, vol. 59(C), pages 318-328.

  37. Kyle Hyndman & Christopher F. Parmeter, 2015. "Efficiency or Competition? A Structural Econometric Analysis of Canada's AWS Auction and the Set-Aside Provision," Production and Operations Management, Production and Operations Management Society, vol. 24(5), pages 821-839, May.

    Cited by:

    1. Teck-Hua Ho & Noah Lim & Sadat Reza & Xiaoyu Xia, 2017. "OM Forum—Causal Inference Models in Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 509-525, October.
    2. Sridhar, V. & Prasad, Rohit, 2021. "Analysis of spectrum pricing for commercial mobile services: A cross country study," Telecommunications Policy, Elsevier, vol. 45(9).
    3. Cave, Martin & Nicholls, Rob, 2017. "The use of spectrum auctions to attain multiple objectives: Policy implications," Telecommunications Policy, Elsevier, vol. 41(5), pages 367-378.

  38. Henderson, Daniel J. & Li, Qi & Parmeter, Christopher F. & Yao, Shuang, 2015. "Gradient-based smoothing parameter selection for nonparametric regression estimation," Journal of Econometrics, Elsevier, vol. 184(2), pages 233-241.
    See citations under working paper version above.
  39. Chi-Yang Chu & Daniel J. Henderson & Christopher F. Parmeter, 2015. "Plug-in Bandwidth Selection for Kernel Density Estimation with Discrete Data," Econometrics, MDPI, vol. 3(2), pages 1-16, March.

    Cited by:

    1. Regmi, Krishna & J. Henderson, Daniel, 2019. "Labor demand shocks at birth and cognitive achievement during childhood," Economics of Education Review, Elsevier, vol. 73(C).
    2. Henderson, Daniel J. & Sperlich, Stefan, 2022. "A Complete Framework for Model-Free Difference-in-Differences Estimation," IZA Discussion Papers 15799, Institute of Labor Economics (IZA).
    3. Park, Byeong U. & Simar, Leopold & Zelenyuk, Valentin, 2018. "Forecasting of Recessions via Dynamic Probit for Time Series: Replication and Extension of Kauppi and Saikkonen (2008)," LIDAM Discussion Papers ISBA 2018004, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    4. Byeong U. Park & Leopold Simar & Valentin Zelenyuk, 2017. "Revisiting Forecasting of Recessions via Dynamic Probit for Time Series by Kauppi and Saikkonen (2008)," CEPA Working Papers Series WP032017, School of Economics, University of Queensland, Australia.
    5. Arnerić Josip, 2020. "Realized density estimation using intraday prices," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 6(1), pages 1-9, May.
    6. Chu, Chi-Yang & Henderson, Daniel J. & Parmeter, Christopher F., 2017. "On discrete Epanechnikov kernel functions," Computational Statistics & Data Analysis, Elsevier, vol. 116(C), pages 79-105.
    7. Xu, Zhongxiang & Chevapatrakul, Thanaset & Li, Xiafei, 2019. "Return asymmetry and the cross section of stock returns," Journal of International Money and Finance, Elsevier, vol. 97(C), pages 93-110.
    8. Stefan Sperlich, 2022. "Comments on: hybrid semiparametric Bayesian networks," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(2), pages 335-339, June.
    9. Lynda Harfouche & Smail Adjabi & Nabil Zougab & Benedikt Funke, 2018. "Multiplicative bias correction for discrete kernels," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(2), pages 253-276, June.
    10. Regmi, Krishna & Henderson, Daniel J., 2019. "Labor Demand Shocks at Birth and Cognitive Achievement during Childhood," IZA Discussion Papers 12521, Institute of Labor Economics (IZA).

  40. Richard Ashley & Christopher Parmeter, 2015. "Sensitivity analysis for inference in 2SLS/GMM estimation with possibly flawed instruments," Empirical Economics, Springer, vol. 49(4), pages 1153-1171, December.

    Cited by:

    1. Jan F. Kiviet, 2016. "When is it really justifiable to ignore explanatory variable endogeneity in a regression model?," Economic Growth Centre Working Paper Series 1607, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    2. Ashley, Richard A. & Parmeter, Christopher F., 2015. "When is it justifiable to ignore explanatory variable endogeneity in a regression model?," Economics Letters, Elsevier, vol. 137(C), pages 70-74.
    3. Matthew A. Masten & Alexandre Poirier, 2021. "Salvaging Falsified Instrumental Variable Models," Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.

  41. Michael Delgado & Christopher Parmeter & Valentina Hartarska & Roy Mersland, 2015. "Should all microfinance institutions mobilize microsavings? Evidence from economies of scope," Empirical Economics, Springer, vol. 48(1), pages 193-225, February.

    Cited by:

    1. Sefa Awaworyi Churchill, 2020. "Microfinance financial sustainability and outreach: is there a trade-off?," Empirical Economics, Springer, vol. 59(3), pages 1329-1350, September.
    2. Bottasso, Anna & Conti, Maurizio & Vannoni, Davide, 2019. "Scale and (quasi) scope economies in airport technology. An application to UK airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 150-164.
    3. Malikov, Emir & Hartarska, Valentina, 2018. "Endogenous Scope Economies in Microfinance Institutions," MPRA Paper 87450, University Library of Munich, Germany.
    4. D’Espallier, Bert & Goedecke, Jann & Hudon, Marek & Mersland, Roy, 2017. "From NGOs to Banks: Does Institutional Transformation Alter the Business Model of Microfinance Institutions?," World Development, Elsevier, vol. 89(C), pages 19-33.
    5. Knar Khachatryan & Vardan Baghdasaryan & Valentina Hartarska, 2018. "Is the model loans-plus-savings better for microfinance in ECA? A PSM comparison," Working Paper c5a69366-4231-479c-879d-c, European Microfinance Network.
    6. Malikov, Emir & Hartarska, Valentina & Mersland, Roy, 2019. "Economies of Diversification in Microfinance: Evidence from Quantile Estimation on Panel Data," MPRA Paper 95935, University Library of Munich, Germany.
    7. Usman & A. S. & Tasmin & R., 2016. "The Relevance of Islamic Micro-finance in achieving the Sustainable Development Goals," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 6(2), pages 1115-1115.
    8. Hartarska, Valentina M. & Zhang, Jingfang & Nadolnyak, Denis A., 2023. "Scope Economies from Rural and Urban Microfinance Services," 2023 Annual Meeting, July 23-25, Washington D.C. 335439, Agricultural and Applied Economics Association.
    9. Bruno, Olivier & Khachatryan, Knar, 2020. "Compulsory versus voluntary savings as an incentive mechanism in microfinance programs," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    10. Anirban Pal & Piyush Kumar Singh, 2021. "Do socially motivated self‐help groups perform better? Exploring determinants of micro‐credit groups’ performance in Eastern India," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 92(1), pages 119-146, March.
    11. Usman, A. S. & Tasmin, R. & Ulum, Z. K. A. B, 2019. "The Role of Entrepreneurial Empowerment in the Relationship between Islamic Microfinance and Well-being of Clients: A View from a Service Provider," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 26, pages 73-93.
    12. Stephen Zamore & Leif Atle Beisland & Roy Mersland, 2023. "Excessive focus on risk? Non‐performing loans and efficiency of microfinance institutions," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1290-1307, April.
    13. Guillermo Baquero & Malika Hamadi & Andréas Heinen, 2018. "Competition, Loan Rates, and Information Dispersion in Nonprofit and For‐Profit Microcredit Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(5), pages 893-937, August.
    14. Niels Hermes & Marek Hudon, 2018. "Determinants Of The Performance Of Microfinance Institutions: A Systematic Review," Journal of Economic Surveys, Wiley Blackwell, vol. 32(5), pages 1483-1513, December.
    15. Anastasia Cozarenco & Valentina Hartarska & Ariane Szafarz, 2019. "Too Many Cooks Spoil the Broth: The Conflicting Impacts of Subsidies and Deposits on the Cost-Efficiency of Microfinance Institutions," Working Papers CEB 19-001, ULB -- Universite Libre de Bruxelles.
    16. Valentina Hartarska & Jingfang Zhang & Denis A. Nadolnyak, 2023. "Scope economies from rural and urban microfinance services," Southern Economic Journal, John Wiley & Sons, vol. 89(4), pages 1138-1167, April.
    17. Zamore, Stephen, 2018. "Should microfinance institutions diversify or focus? A global analysis," Research in International Business and Finance, Elsevier, vol. 46(C), pages 105-119.
    18. Syeda Sonia Parvin & Belayet Hossain & Muhammad Mohiuddin & Qingfeng Cao, 2020. "Capital Structure, Financial Performance, and Sustainability of Micro-Finance Institutions (MFIs) in Bangladesh," Sustainability, MDPI, vol. 12(15), pages 1-18, August.
    19. Bailey, Rachel & Hartarska, Valentina, 2017. "Women's Property Rights and Outreach of Microfinance Institutions Targeting Women," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 253159, Southern Agricultural Economics Association.
    20. Hermes, Cornelis & Hudon, M., 2018. "Determinants of the Performance of Microfinance Institutions: A Systematic Review," Research Report 2018008, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

  42. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.

    Cited by:

    1. David H. Bernstein & Christopher F. Parmeter, 2017. "Returns to Scale in Electricity Generation: Revisited and Replicated," Working Papers 2017-08, University of Miami, Department of Economics.
    2. Zhe Li & Ping Wang, 2023. "Cross‐border mergers and acquisitions and corporate social responsibility: Evidence from Chinese listed firms," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 50(1-2), pages 335-376, January.
    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. Ali Mehrabani & Aman Ullah, 2020. "Improved Average Estimation in Seemingly Unrelated Regressions," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    5. Casas Villalba, Maria Isabel & Mao, Xiuping & Lopes Moreira Da Veiga, María Helena, 2020. "Adaptative predictability of stock market returns," DES - Working Papers. Statistics and Econometrics. WS 31648, Universidad Carlos III de Madrid. Departamento de Estadística.
    6. Chaohua Dong & Jiti Gao & Bin Peng, 2018. "Series estimation for single-index models under constraints," Monash Econometrics and Business Statistics Working Papers 5/18, Monash University, Department of Econometrics and Business Statistics.
    7. Isabel Casas & Eva Ferreira & Susan Orbe, 2017. "Time-varying coefficient estimation in SURE models. Application to portfolio management," CREATES Research Papers 2017-33, Department of Economics and Business Economics, Aarhus University.
    8. Xu, Ke-Li, 2017. "Regression discontinuity with categorical outcomes," Journal of Econometrics, Elsevier, vol. 201(1), pages 1-18.
    9. Čížek, Pavel & Koo, Chao Hui, 2021. "Jump-preserving varying-coefficient models for nonlinear time series," Econometrics and Statistics, Elsevier, vol. 19(C), pages 58-96.
    10. Li, Hong & Shi, Yanlin, 2021. "A new unique information share measure with applications on cross-listed Chinese banks," Journal of Banking & Finance, Elsevier, vol. 128(C).
    11. Shun Matsuura & Hiroshi Kurata, 2020. "Covariance matrix estimation in a seemingly unrelated regression model under Stein’s loss," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(1), pages 79-99, March.
    12. Guohua Feng & Jiti Gao & Xiaohui Zhang, 2016. "Estimation of Technical Change and Price Elasticities: A Categorical Time-varying Coefficient Approach," Monash Econometrics and Business Statistics Working Papers 2/16, Monash University, Department of Econometrics and Business Statistics.
    13. Zhe Li & Ping Wang & Tianlong Wu, 2021. "Do foreign institutional investors drive corporate social responsibility? Evidence from listed firms in China," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(1-2), pages 338-373, January.
    14. Subal C. Kumbhakar & Kai Sun & Rui Zhang, 2016. "Semiparametric Smooth Coefficient Estimation of a Production System," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 464-482, October.
    15. Chaohua Dong & Jiti Gao & Bin Peng, 2016. "Another Look at Single-Index Models Based on Series Estimation," Monash Econometrics and Business Statistics Working Papers 19/16, Monash University, Department of Econometrics and Business Statistics.
    16. Isabel Casas & Xiuping Mao & Helena Veiga, 2018. "Reexamining financial and economic predictability with new estimators of realized variance and variance risk premium," CREATES Research Papers 2018-10, Department of Economics and Business Economics, Aarhus University.
    17. Mark Andor & Christopher Parmeter, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5651-5661, November.
    18. Ye Chen & Jian Li & Qiyuan Li, 2023. "Seemingly Unrelated Regression Estimation for VAR Models with Explosive Roots," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 910-937, August.

  43. Ashley, Richard A. & Parmeter, Christopher F., 2015. "When is it justifiable to ignore explanatory variable endogeneity in a regression model?," Economics Letters, Elsevier, vol. 137(C), pages 70-74.

    Cited by:

    1. Olawuyi Seyi Olalekan & Balogun Taofeek Ayodeji, 2017. "The Endogeneity Effects of Conservation Agriculture Adoption on Smallholder Farmers' Food Security Status in Osun State, Nigeria," Journal of Economics and Behavioral Studies, AMH International, vol. 9(5), pages 144-156.
    2. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2020. "Deep and Proximate Determinants of the World Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 677-710, September.
    3. Jan F. Kiviet, 2016. "When is it really justifiable to ignore explanatory variable endogeneity in a regression model?," Economic Growth Centre Working Paper Series 1607, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    4. Sajjad Ali & Li Gucheng & Liu Ying & Muhammad Ishaq & Tariq Shah, 2019. "The Relationship between Carbon Dioxide Emissions, Economic Growth and Agricultural Production in Pakistan: An Autoregressive Distributed Lag Analysis," Energies, MDPI, vol. 12(24), pages 1-23, December.

  44. Battisti, Michele & Delgado, Michael S. & Parmeter, Christopher F., 2015. "Evolution of the global distribution of carbon dioxide: A finite mixture analysis," Resource and Energy Economics, Elsevier, vol. 42(C), pages 31-52.
    See citations under working paper version above.
  45. Delgado, Michael S. & Parmeter, Christopher F., 2014. "A simple estimator for partial linear regression with endogenous nonparametric variables," Economics Letters, Elsevier, vol. 124(1), pages 100-103.

    Cited by:

    1. Das, Monica & Basu, Sudip Ranjan, 2022. "Understanding the relationship between income inequality and pollution: A fresh perspective with cross-country evidence," World Development Perspectives, Elsevier, vol. 26(C).

  46. Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2014. "Does Education Matter for Economic Growth?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 334-359, June.
    See citations under working paper version above.
  47. Parmeter, Christopher F. & Kumbhakar, Subal C., 2014. "Efficiency Analysis: A Primer on Recent Advances," Foundations and Trends(R) in Econometrics, now publishers, vol. 7(3-4), pages 191-385, December.

    Cited by:

    1. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
    2. 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).
    3. Clara Inés Pardo Martínez & Alexander Cotte Poveda, 2022. "The effects of environmental performance on competitiveness and innovation: a stochastic frontier approach for Colombia," Environment Systems and Decisions, Springer, vol. 42(1), pages 51-62, March.
    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. 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. 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.
    7. 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.
    8. Andor, Mark Andreas & Bernstein, David H. & Sommer, Stephan, 2020. "Determining the efficiency of residential electricity consumption," Ruhr Economic Papers 870, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Mike G. Tsionas, 2019. "Robust Bayesian Inference in Stochastic Frontier Models," JRFM, MDPI, vol. 12(4), pages 1-9, December.
    10. Paul, Satya & Shankar, Sriram, 2022. "Regulatory reforms and the efficiency and productivity growth in electricity generation in OECD countries," Energy Economics, Elsevier, vol. 108(C).
    11. 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.
    12. Nguyen Hung Anh & Wolfgang Bokelmann & Do Thi Nga & Nguyen Van Minh, 2019. "Toward Sustainability or Efficiency: The Case of Smallholder Coffee Farmers in Vietnam," Economies, MDPI, vol. 7(3), pages 1-25, July.
    13. 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).
    14. 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.
    15. 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.
    16. Gude, Alberto & Álvarez, Inmaculada C. & Orea, Luis, 2017. "Heterogeneous spillovers among Spanish provinces: A generalized spatial stochastic frontier model," Efficiency Series Papers 2017/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    17. Lei Wang & Ruyin Long & Hong Chen, 2017. "Study of Urban Energy Performance Assessment and Its Influencing Factors Based on Improved Stochastic Frontier Analysis: A Case Study of Provincial Capitals in China," Sustainability, MDPI, vol. 9(7), pages 1-18, June.
    18. 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.
    19. Paul, Satya & Shankar, Sriram, 2018. "On estimating efficiency effects in a stochastic frontier model," European Journal of Operational Research, Elsevier, vol. 271(2), pages 769-774.
    20. Ajuruchukwu Obi & Balogun Taofeek Ayodeji, 2020. "Determinants of Economic Farm-Size–Efficiency Relationship in Smallholder Maize Farms in the Eastern Cape Province of South Africa," Agriculture, MDPI, vol. 10(4), pages 1-18, April.
    21. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. Richard Gearhart & Lyudmyla Sonchak-Ardan & Nyakundi Michieka, 2022. "The efficiency of COVID cases to COVID policies: a robust conditional approach," Empirical Economics, Springer, vol. 63(6), pages 2903-2948, December.
    27. Jerzy Marzec & Andrzej Pisulewski & Artur Prędki, 2019. "Efektywność techniczna i produktywność polskich gospodarstw rolnych specjalizujących się w uprawach polowych," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 95-125.
    28. 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.
    29. 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.
    30. Rodriguez-Alvarez, Ana & Orea, Luis & Jamasb, Tooraj, 2019. "Fuel poverty and Well-Being:A consumer theory and stochastic frontier approach," Energy Policy, Elsevier, vol. 131(C), pages 22-32.
    31. Danny Cyra Yangchen & Mingyong Hong & Qisong Yang, 2022. "The Effect of Farmland Transfer on the Technical Efficiency of Farm Households in China: An Empirical Result of External Environmental Factors," Land, MDPI, vol. 12(1), pages 1-22, December.
    32. 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.
    33. 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.
    34. Henderson, Heath & Follett, Lendie, 2022. "Targeting social safety net programs on human capabilities," World Development, Elsevier, vol. 151(C).
    35. 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.
    36. K Hervé Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2021. "Latent Class Modelling for a Robust Assessment of Productivity: Application to French Grazing Livestock Farms [Modélisation des classes latentes pour une évaluation robuste de la productivité : App," Post-Print hal-03280138, HAL.
    37. 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).
    38. 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.
    39. Paul, Satya & Shankar, Sriram, 2018. "Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier," MPRA Paper 87437, University Library of Munich, Germany.
    40. Ozili, Peterson, K, 2016. "Bank Profitability and Capital Regulation: Evidence from Listed and non-Listed Banks in Africa," MPRA Paper 75856, University Library of Munich, Germany.
    41. Lopez Gomez, Daniel & Parmeter, Christopher F., 2020. "Smooth coefficient estimation of stochastic frontier models," Economics Letters, Elsevier, vol. 193(C).
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. Kutlu, Levent, 2017. "A constrained state space approach for estimating firm efficiency," Economics Letters, Elsevier, vol. 152(C), pages 54-56.
    47. Meena Badade & T. V. Ramanathan, 2022. "Probabilistic Frontier Regression Models for Count Type Output Data," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 235-260, September.
    48. 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.
    49. Griffiths, William E. & Hajargasht, Gholamreza, 2016. "Some models for stochastic frontiers with endogeneity," Journal of Econometrics, Elsevier, vol. 190(2), pages 341-348.
    50. 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.
    51. 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).
    52. 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.
    53. 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.
    54. 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".
    55. Andor, Mark A. & Parmeter, Christopher & Sommer, Stephan, 2018. "Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes," Ruhr Economic Papers 770, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    56. Ke Wang & Xin Ye, 2021. "Development of alternative stochastic frontier models for estimating time-space prism vertices," Transportation, Springer, vol. 48(2), pages 773-807, April.
    57. Michael Danquah & Kunal Sen, 2022. "Informal institutions, transaction risk, and firm productivity in Myanmar," Small Business Economics, Springer, vol. 58(3), pages 1721-1737, March.
    58. Václava Pánková, 2019. "Are efficient firms motivated to invest? Evidence of manufacture of motor vehicles in Czech Republic," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(3), pages 67-76.
    59. 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.
    60. Djula Borozan, 2021. "Technical Efficiency and Productivity Change in the European Union with Undesirable Output Considered," Energies, MDPI, vol. 14(16), pages 1-15, August.
    61. Herwartz, Helmut & Schley, Katharina, 2018. "Improving health care service provision by adapting to regional diversity: An efficiency analysis for the case of Germany," Health Policy, Elsevier, vol. 122(3), pages 293-300.
    62. Henderson, Heath & Follett, Lendie, 2020. "A Bayesian framework for estimating human capabilities," World Development, Elsevier, vol. 129(C).
    63. Millimet, Daniel L. & Parmeter, Christopher F., 2021. "COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths," IZA Discussion Papers 14116, Institute of Labor Economics (IZA).
    64. Njike, Arnold, 2019. "Import processing zones, tools for regional integration? The case of the free trade zone of Manaus (Brazil)," MPRA Paper 97652, University Library of Munich, Germany.
    65. Riera, Félix Sebastián & Brümmer, Bernhard, 2022. "Environmental efficiency of wine grape production in Mendoza, Argentina," Agricultural Water Management, Elsevier, vol. 262(C).
    66. 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.
    67. 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.
    68. 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.
    69. 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.
    70. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C. & Weyman-Jones, Thomas, 2018. "The Spatial Efficiency Multiplier and Common Correlated Effects in a Spatial Autoregressive Stochastic Frontier Model," Working Papers 18-003, Rice University, Department of Economics.
    71. Selina Bruns & Bernhard Dalheimer & Oliver Musshoff, 2022. "The effect of cognitive function on the poor's economic performance: Evidence from Cambodian smallholder farmers," Agricultural Economics, International Association of Agricultural Economists, vol. 53(3), pages 468-480, May.
    72. 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.
    73. 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.
    74. 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.
    75. Mark Andor & Christopher Parmeter, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5651-5661, November.
    76. Lalith Seelanatha, 2021. "Political Instability, Civil War and Cost Efficiency of Banking Firms: A Case Study in Sri Lanka," Asian Economic Journal, East Asian Economic Association, vol. 35(3), pages 294-316, September.
    77. Abolghasem Naderi, 2022. "Efficiency measurement of higher education units using multilevel frontier analysis," Journal of Productivity Analysis, Springer, vol. 57(1), pages 79-92, February.
    78. Alecos Papadopoulos, 2021. "Stochastic frontier models using the Generalized Exponential distribution," Journal of Productivity Analysis, Springer, vol. 55(1), pages 15-29, February.
    79. 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.
    80. Kumbhakar, Subal C. & Lai, Hung-pin, 2021. "A multi-output multi-input stochastic frontier system with input- and output-specific inefficiency," Economics Letters, Elsevier, vol. 201(C).
    81. Marzec, Jerzy & Pisulewski, Andrzej, 2019. "The Measurement of Time Varying Technical Efficiency and Productivity Change in Polish Crop Farms," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(1), March.
    82. Jakub Staniszewski & Michał Borychowski, 2020. "The impact of the subsidies on efficiency of different sized farms. Case study of the Common Agricultural Policy of the European Union," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(8), pages 373-380.
    83. Jos L. T. Blank, 2021. "Sustainable Provision of School Buildings in The Netherlands: An Empirical Productivity Analysis of Local Government School Building Operations," Sustainability, MDPI, vol. 13(16), pages 1-11, August.
    84. 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).
    85. 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.
    86. 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.
    87. OBAYELU, Abiodun Elijah & MONCHO, Cocou Muriel Dorian & DIAI, Chukwunoso Christopher, 2016. "Technical Efficiency Of Production Of Quality Protein Maize Between Adopters And Non-Adopters, And The Determinants In Oyo State, Nigeria," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 19(2), pages 1-10, October.

  48. Christopher Parmeter & Kai Sun & Daniel Henderson & Subal Kumbhakar, 2014. "Estimation and inference under economic restrictions," Journal of Productivity Analysis, Springer, vol. 41(1), pages 111-129, February.

    Cited by:

    1. Dewitte, Ruben & Dumont, Michel & Merlevede, Bruno & Rayp, Glenn & Verschelde, Marijn, 2020. "Firm-Heterogeneous Biased Technological Change: A nonparametric approach under endogeneity," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1172-1182.
    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. 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.
    4. Wedimu, Mengistu A. & Henningsen, Arne & Czekaj, Tomasz G., 2015. "Incentives and Moral Hazard: Plot Level Productivity of Factory-Operated and Outgrower-Operated Sugarcane Production in Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 211900, International Association of Agricultural Economists.
    5. Esteve, Miriam & Aparicio, Juan & Rodriguez-Sala, Jesus J. & Zhu, Joe, 2023. "Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull," European Journal of Operational Research, Elsevier, vol. 304(2), pages 729-744.
    6. Marijn Verschelde & Michel Dumont & Bruno Merlevede & Glenn Rayp, 2014. "A constrained nonparametric regression analysis of factor-biased technical change and TFP growth at the firm level," Working Paper Research 266, National Bank of Belgium.
    7. Sickles, Robin C. & Sun, Kai & Triebs, Thomas P., 2020. "The Optimal Use of Management," Working Papers 20-003, Rice University, Department of Economics.
    8. Mark Andor & Christopher Parmeter, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5651-5661, November.
    9. Humberto Brea-Solis & Sergio Perelman & David Saal, 2017. "Regulatory incentives to water losses reduction: the case of England and Wales," Journal of Productivity Analysis, Springer, vol. 47(3), pages 259-276, June.
    10. 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.
    11. Kai Sun, 2015. "Constrained nonparametric estimation of input distance function," Journal of Productivity Analysis, Springer, vol. 43(1), pages 85-97, February.
    12. Feng, Guohua & Peng, Bin & Su, Liangjun & Yang, Thomas Tao, 2019. "Semi-parametric single-index panel data models with interactive fixed effects: Theory and practice," Journal of Econometrics, Elsevier, vol. 212(2), pages 607-622.
    13. Fabian Frick & Johannes Sauer, 2021. "Technological Change in Dairy Farming with Increased Price Volatility," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 564-588, June.
    14. Valero-Carreras, Daniel & Aparicio, Juan & Guerrero, Nadia M., 2021. "Support vector frontiers: A new approach for estimating production functions through support vector machines," Omega, Elsevier, vol. 104(C).

  49. Michael S. Delgado & Christopher F. Parmeter, 2013. "Embarrassingly Easy Embarrassingly Parallel Processing In R," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(7), pages 1224-1230, November.

    Cited by:

    1. Delgado, Michael S. & Parmeter, Christopher F., 2014. "A simple estimator for partial linear regression with endogenous nonparametric variables," Economics Letters, Elsevier, vol. 124(1), pages 100-103.
    2. 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.
    3. 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.

  50. Valentina Hartarska & Roy Mersland & Denis Nadolnyak & Christopher Parmeter, 2013. "Governance and scope economies in microfinance institutions," International Journal of Corporate Governance, Inderscience Enterprises Ltd, vol. 4(1), pages 74-96.

    Cited by:

    1. Michael Delgado & Christopher Parmeter & Valentina Hartarska & Roy Mersland, 2015. "Should all microfinance institutions mobilize microsavings? Evidence from economies of scope," Empirical Economics, Springer, vol. 48(1), pages 193-225, February.
    2. Djibril Faye & Zaka Ratsimalahelo, 2022. "Dynamic analysis of the interest rate determinant in microfinance institutions," Working Papers 2022-09, CRESE.
    3. Anastasia Cozarenco & Valentina Hartarska & Ariane Szafarz, 2019. "Too Many Cooks Spoil the Broth: The Conflicting Impacts of Subsidies and Deposits on the Cost-Efficiency of Microfinance Institutions," Working Papers CEB 19-001, ULB -- Universite Libre de Bruxelles.
    4. Reinert, Regina M. & Weigert, Florian & Winnefeld, Christoph H., 2015. "Does Female Management Influence Firm Performance? Evidence from Luxembourg Banks," Working Papers on Finance 1501, University of St. Gallen, School of Finance.
    5. Regina M. Reinert & Florian Weigert & Christoph H. Winnefeld, 2016. "Does female management influence firm performance? Evidence from Luxembourg banks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(2), pages 113-136, May.

  51. Kevin Boyle & Christopher Parmeter & Brent Boehlert & Robert Paterson, 2013. "Due Diligence in Meta-analyses to Support Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(3), pages 357-386, July.

    Cited by:

    1. Robert J. Johnston & Elena Y. Besedin & Benedict M. Holland, 2019. "Modeling Distance Decay Within Valuation Meta-Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(3), pages 657-690, March.
    2. Van Houtven, George L. & Pattanayak, Subhrendu K. & Usmani, Faraz & Yang, Jui-Chen, 2017. "What are Households Willing to Pay for Improved Water Access? Results from a Meta-Analysis," Ecological Economics, Elsevier, vol. 136(C), pages 126-135.
    3. Heather Klemick & Charles Griffiths & Dennis Guignet & Patrick Walsh, 2018. "Improving Water Quality in an Iconic Estuary: An Internal Meta-analysis of Property Value Impacts Around the Chesapeake Bay," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(2), pages 265-292, February.
    4. Heather Klemick & Charles Griffiths & Dennis Guignet & Patrick Walsh, 2015. "Explaining Variation in the Value of Chesapeake Bay Water Quality Using Internal Meta-analysis," NCEE Working Paper Series 201504, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Nov 2015.
    5. Marisa J. Mazzotta & Elena Besedin & Ann E. Speers, 2014. "A Meta-Analysis of Hedonic Studies to Assess the Property Value Effects of Low Impact Development," Resources, MDPI, vol. 3(1), pages 1-31, January.
    6. Hermine Vedogbeton & Robert J. Johnston, 2020. "Commodity Consistent Meta-Analysis of Wetland Values: An Illustration for Coastal Marsh Habitat," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(4), pages 835-865, April.
    7. De Salvo, Maria & Signorello, Giovanni, 2015. "Non-market valuation of recreational services in Italy: A meta-analysis," Ecosystem Services, Elsevier, vol. 16(C), pages 47-62.
    8. Luke Fitzpatrick & Christopher F. Parmeter & Juan Agar, 2016. "Threshold Effects in Meta Analyses with Application to Benefit Transfer for Coral Reef Valuation," Working Papers 2016-03, University of Miami, Department of Economics.
    9. Newbold, Stephen C. & Johnston, Robert J., 2020. "Valuing non-market valuation studies using meta-analysis: A demonstration using estimates of willingness-to-pay for water quality improvements," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    10. Kevin J. Boyle & Christopher F. Parmeter, 2017. "Benefit Transfer for Ecosystem Services," Working Papers 2017-07, University of Miami, Department of Economics.
    11. Robert J. Johnston & Kevin J. Boyle & Maria L. Loureiro & Ståle Navrud & John Rolfe, 2021. "Guidance to Enhance the Validity and Credibility of Environmental Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 575-624, July.
    12. Marvin Schütt, 2021. "Systematic Variation in Waste Site Effects on Residential Property Values: A Meta-Regression Analysis and Benefit Transfer," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(3), pages 381-416, March.
    13. Diluiso, Francesca & Guastella, Gianni & Pareglio, Stefano, 2021. "Changes in urban green spaces’ value perception: A meta-analytic benefit transfer function for European cities," Land Use Policy, Elsevier, vol. 101(C).
    14. Robert J. Johnston & Elena Y. Besedin & Ryan Stapler, 2017. "Enhanced Geospatial Validity for Meta-analysis and Environmental Benefit Transfer: An Application to Water Quality Improvements," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 343-375, October.
    15. Siriwardena, Shyamani D. & Boyle, Kevin J. & Holmes, Thomas P. & Wiseman, P. Eric, 2016. "The implicit value of tree cover in the U.S.: A meta-analysis of hedonic property value studies," Ecological Economics, Elsevier, vol. 128(C), pages 68-76.
    16. Fitzpatrick, Luke & Parmeter, Christopher F. & Agar, Juan, 2019. "Approaches for visualizing uncertainty in benefit transfer from metaregression," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    17. Mazzotta, Marisa & Wainger, Lisa & Sifleet, Samantha & Petty, J.Todd & Rashleigh, Brenda, 2015. "Benefit transfer with limited data: An application to recreational fishing losses from surface mining," Ecological Economics, Elsevier, vol. 119(C), pages 384-398.

  52. 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.

  53. Henderson, Daniel J. & Papageorgiou, Chris & Parmeter, Christopher F., 2013. "Who benefits from financial development? New methods, new evidence," European Economic Review, Elsevier, vol. 63(C), pages 47-67.
    See citations under working paper version above.
  54. Kaul, Sapna & Boyle, Kevin J. & Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2013. "What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 90-104.

    Cited by:

    1. Duke, Joshua M. & Dundas, Steven J. & Johnston, Robert J. & Messer, Kent D., 2014. "Prioritizing payment for environmental services: Using nonmarket benefits and costs for optimal selection," Ecological Economics, Elsevier, vol. 105(C), pages 319-329.
    2. Meya, Jasper N. & Drupp, Moritz A. & Hanley, Nick, 2021. "Testing structural benefit transfer: The role of income inequality," Resource and Energy Economics, Elsevier, vol. 64(C).
    3. Dennis Guignet & Matthew T. Heberling & Michael Papenfus & Olivia Griot & Ben Holland, 2020. "Property values, water quality, and benefit transfer: A nationwide meta-analysis," Working Papers 20-04, Department of Economics, Appalachian State University.
    4. Baker, Rick & Ruting, Brad, 2014. "Environmental Policy Analysis: A Guide to Non‑Market Valuation," 2014 Conference (58th), February 4-7, 2014, Port Macquarie, Australia 165810, Australian Agricultural and Resource Economics Society.
    5. Zhang, Fan & Fogarty, James, 2015. "Nonmarket Valuation of Water Sensitive Cities: Current Knowledge and Issues," Working Papers 207694, University of Western Australia, School of Agricultural and Resource Economics.
    6. Mehmet Kutluay & Roy Brouwer & Richard S. J. Tol, 2019. "Valuing malaria morbidity: results from a global meta-analysis," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 8(3), pages 301-321, July.
    7. Catherine L. Kling & Daniel J. Phaneuf, 2018. "How are Scope and Adding up Relevant for Benefits Transfer?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(3), pages 483-502, March.
    8. Loomis, John & Sanchez, Jose & Gonzalez-Caban, Armando & Holmes, Thomas, 2015. "Are WTP Estimates for Wildfire Risk Reductions Transferrable from Coast to Coast? Results of a Choice Experiment in California and Florida," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 202661, Agricultural and Applied Economics Association.
    9. Moeltner, Klaus, 2019. "Bayesian nonlinear meta regression for benefit transfer," Journal of Environmental Economics and Management, Elsevier, vol. 93(C), pages 44-62.
    10. Norton, Daniel & Hynes, Stephen, 2018. "Estimating the Benefits of the Marine Strategy Framework Directive in Atlantic Member States: A Spatial Value Transfer Approach," Ecological Economics, Elsevier, vol. 151(C), pages 82-94.
    11. Kevin Boyle & Christopher Parmeter & Brent Boehlert & Robert Paterson, 2013. "Due Diligence in Meta-analyses to Support Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(3), pages 357-386, July.
    12. Chaikumbung, Mayula & Doucouliagos, Hristos & Scarborough, Helen, 2016. "The economic value of wetlands in developing countries: A meta-regression analysis," Ecological Economics, Elsevier, vol. 124(C), pages 164-174.
    13. Patrizia Schwegler, 2015. "Economic valuation of environmental costs of soil erosion and the loss of biodiversity and ecosystem services caused by food wastage," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 8(2).
    14. Luke Fitzpatrick & Christopher F. Parmeter & Juan Agar, 2016. "Threshold Effects in Meta Analyses with Application to Benefit Transfer for Coral Reef Valuation," Working Papers 2016-03, University of Miami, Department of Economics.
    15. Ewa Zawojska & Zbigniew Szkop & Mikołaj Czajkowski & Tomasz Żylicz, 2016. "Economic valuation of ecosystem services provided by the Wilanów Park: A benefit transfer study," Working Papers 2016-31, Faculty of Economic Sciences, University of Warsaw.
    16. Matthew Gibson & Maria Carnovale, 2015. "The Effects of Road Pricing on Driver Behavior and Air Pollution," Department of Economics Working Papers 2015-16, Department of Economics, Williams College.
    17. Stephen Newbold & R. David Simpson & D. Matthew Massey & Matthew T. Heberling & William Wheeler & Joel Corona & Julie Hewitt, 2018. "Benefit Transfer Challenges: Perspectives from U.S. Practitioners," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(3), pages 467-481, March.
    18. D'Alberto, Riccardo & Zavalloni, Matteo & Raggi, Meri & Viaggi, Davide, 2021. "A Statistical Matching approach to reproduce the heterogeneity of willingness to pay in benefit transfer," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    19. Stephen C. Newbold & Patrick J. Walsh & D. Matthew Massey & Julie Hewitt, 2018. "Using structural restrictions to achieve theoretical consistency in benefit transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(3), pages 529-553, March.
    20. Abbie A. Rogers & Fiona L. Dempster & Jacob I. Hawkins & Robert J. Johnston & Peter C. Boxall & John Rolfe & Marit E. Kragt & Michael P. Burton & David J. Pannell, 2019. "Valuing non-market economic impacts from natural hazards," 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. 99(2), pages 1131-1161, November.
    21. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    22. Kevin J. Boyle & Christopher F. Parmeter, 2017. "Benefit Transfer for Ecosystem Services," Working Papers 2017-07, University of Miami, Department of Economics.
    23. Czajkowski, Mikołaj & Ahtiainen, Heini & Artell, Janne & Meyerhoff, Jürgen, 2017. "Choosing a Functional Form for an International Benefit Transfer: Evidence from a Nine-country Valuation Experiment," Ecological Economics, Elsevier, vol. 134(C), pages 104-113.
    24. Meya, Jasper N. & Drupp, Moritz A. & Hanley, Nick, 2018. "Income inequality and the international transfer of environmental values," Economics Working Papers 2017-03, Christian-Albrechts-University of Kiel, Department of Economics, revised 2018.
    25. Robert Johnston & Klaus Moeltner, 2014. "Meta-Modeling and Benefit Transfer: The Empirical Relevance of Source-Consistency in Welfare Measures," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(3), pages 337-361, November.
    26. Robert J. Johnston & Kevin J. Boyle & Maria L. Loureiro & Ståle Navrud & John Rolfe, 2021. "Guidance to Enhance the Validity and Credibility of Environmental Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 575-624, July.
    27. Carolus, Johannes Friedrich & Hanley, Nick & Olsen, Søren Bøye & Pedersen, Søren Marcus, 2018. "A Bottom-up Approach to Environmental Cost-Benefit Analysis," Ecological Economics, Elsevier, vol. 152(C), pages 282-295.
    28. Grammatikopoulou, Ioanna & VaÄ kářová, Davina, 2021. "The value of forest ecosystem services: A meta-analysis at the European scale and application to national ecosystem accounting," Ecosystem Services, Elsevier, vol. 48(C).
    29. Baumgärtner, Stefan & Drupp, Moritz A. & Meya, Jasper N. & Munz, Jan M. & Quaas, Martin F., 2017. "Income inequality and willingness to pay for environmental public goods," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 35-61.
    30. Wainger, L. & Loomis, J. & Johnston, R. & Hansen, L. & Carlisle, D. & Lawrence, D. & Gollehon, N. & Duriancik, L. & Schwartz, G. & Ribaudo, M. & Gala, C., 2017. "Ecosystem Service Benefits Generated by Improved Water Quality from Conservation Practices," C-FARE Reports 260679, Council on Food, Agricultural, and Resource Economics (C-FARE).
    31. Ankamah-Yeboah, Isaac & Rehdanz, Katrin, 2014. "Explaining the variation in the value of building energy efficiency certificates: A quantitative meta-analysis," Kiel Working Papers 1949, Kiel Institute for the World Economy (IfW Kiel).
    32. Kovacs, Kent & West, Grant & Nowak, David J. & Haight, Robert G., 2022. "Tree cover and property values in the United States: A national meta-analysis," Ecological Economics, Elsevier, vol. 197(C).
    33. Baumgärtner, Stefan & Drupp, Moritz A. & Meya, Jasper N. & Munz, Jan M. & Quaas, Martin F., 2016. "Income inequality and willingness to pay for public environmental goods," Economics Working Papers 2016-04, Christian-Albrechts-University of Kiel, Department of Economics.
    34. Christof Gubler, 2014. "Potential des Anbaus und Absatzmo glichkeiten der Walnuss in der Schweiz," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 7(1).
    35. Gebeyehu Fetene & Søren Olsen & Ole Bonnichsen, 2014. "Disentangling the Pure Time Effect From Site and Preference Heterogeneity Effects in Benefit Transfer: An Empirical Investigation of Transferability," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(4), pages 583-611, December.
    36. Börger, Tobias & Beaumont, Nicola J. & Pendleton, Linwood & Boyle, Kevin J. & Cooper, Philip & Fletcher, Stephen & Haab, Tim & Hanemann, Michael & Hooper, Tara L. & Hussain, S. Salman & Portela, Rosim, 2014. "Incorporating ecosystem services in marine planning: The role of valuation," Marine Policy, Elsevier, vol. 46(C), pages 161-170.
    37. Hamel, Perrine & Bryant, Benjamin P., 2017. "Uncertainty assessment in ecosystem services analyses: Seven challenges and practical responses," Ecosystem Services, Elsevier, vol. 24(C), pages 1-15.
    38. Kevin J. Boyle & Jeffrey M. Wooldridge, 2018. "Understanding Error Structures and Exploiting Panel Data in Meta-analytic Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(3), pages 609-635, March.
    39. Fitzpatrick, Luke & Parmeter, Christopher F. & Agar, Juan, 2019. "Approaches for visualizing uncertainty in benefit transfer from metaregression," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    40. Fezzi, Carlo & Ford, Derek J. & Oleson, Kirsten L.L., 2023. "The economic value of coral reefs: Climate change impacts and spatial targeting of restoration measures," Ecological Economics, Elsevier, vol. 203(C).
    41. Wright, William C.C. & Eppink, Florian V., 2016. "Drivers of heritage value: A meta-analysis of monetary valuation studies of cultural heritage," Ecological Economics, Elsevier, vol. 130(C), pages 277-284.
    42. Klaus Glenk & Julia Martin-Ortega & Manuel Pulido-Velazquez & Jacqueline Potts, 2015. "Inferring Attribute Non-attendance from Discrete Choice Experiments: Implications for Benefit Transfer," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 60(4), pages 497-520, April.

  55. Battisti, Michele & Parmeter, Christopher F., 2013. "Clustering and polarization in the distribution of output: A multivariate perspective," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 144-162.

    Cited by:

    1. Antonello Maruotti & Pierfrancesco Alaimo Di Loro, 2023. "CO2 emissions and growth: A bivariate bidimensional mean‐variance random effects model," Environmetrics, John Wiley & Sons, Ltd., vol. 34(5), August.
    2. Shana M. Sundstrom & Craig R. Allen & David G. Angeler, 2020. "Scaling and discontinuities in the global economy," Journal of Evolutionary Economics, Springer, vol. 30(2), pages 319-345, April.
    3. Johnson, Paul & Papageorgiou, Chris, 2018. "What Remains of Cross-Country Convergence?," MPRA Paper 89355, University Library of Munich, Germany.
    4. Inmaculada C. Alvarez & Javier Barbero & Luis Orea & Andrés Rodríguez-Pose, 2023. "How institutions shape the economic returns of public investment in European regions," JRC Working Papers on Territorial Modelling and Analysis 2023-08, Joint Research Centre.
    5. Michele Battisti & Tamara Fioroni & Andrea Mario Lavezzi, 2014. "World Interest Rates, Inequality and Growth: an Empirical Analysis of the Galor-Zeira Model," Discussion Papers 2014/184, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    6. 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.
    7. Tsionas, Mike G., 2019. "Transition and limiting distributions when covariates are available," Economics Letters, Elsevier, vol. 183(C), pages 1-1.
    8. Amini, Shahram & Battisti, Michele & Parmeter, Christopher F., 2017. "Decomposing changes in the conditional variance of GDP over time," Economic Modelling, Elsevier, vol. 61(C), pages 376-387.
    9. Carlos Mendez, 2019. "Lack of Global Convergence and the Formation of Multiple Welfare Clubs across Countries: An Unsupervised Machine Learning Approach," Economies, MDPI, vol. 7(3), pages 1-17, July.
    10. Michal Bernardelli & Mariusz Prochniak & Bartosz Witkowski, 2017. "The application of hidden Markov models to the analysis of real convergence," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 17, pages 59-80.
    11. Kindberg-Hanlon,Gene & Okou,Cedric Iltis Finafa, 2020. "Productivity Convergence : Is Anyone Catching Up?," Policy Research Working Paper Series 9378, The World Bank.

  56. Henderson, Daniel J. & List, John A. & Millimet, Daniel L. & Parmeter, Christopher F. & Price, Michael K., 2012. "Empirical implementation of nonparametric first-price auction models," Journal of Econometrics, Elsevier, vol. 168(1), pages 17-28.
    See citations under working paper version above.
  57. 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.

  58. Shahram M. Amini & Christopher F. Parmeter, 2012. "Comparison Of Model Averaging Techniques: Assessing Growth Determinants," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 870-876, August.

    Cited by:

    1. Havranek, Tomas & Rusnak, Marek & Sokolova, Anna, 2017. "Habit formation in consumption: A meta-analysis," European Economic Review, Elsevier, vol. 95(C), pages 142-167.
    2. Gric, Zuzana & Bajzík, Josef & Badura, Ondřej, 2023. "Does sentiment affect stock returns? A meta-analysis across survey-based measures," International Review of Financial Analysis, Elsevier, vol. 89(C).
    3. Leroi RAPUTSOANE, 2015. "Alternative Measures of Credit Extension for Countercyclical Buffer Decisions in South Africa," Turkish Economic Review, KSP Journals, vol. 2(4), pages 210-221, December.
    4. Mignamissi, Dieudonné & Kuete, Yselle Flora, 2020. "What Make African Happy," MPRA Paper 99016, University Library of Munich, Germany.
    5. Havranek, Tomas & Horvath, Roman & Elminejad, Ali, 2021. "Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply," MetaArXiv nshqx, Center for Open Science.
    6. Zhuanlan Sun & Demi Zhu, 2023. "Investigating environmental regulation effects on technological innovation: A meta-regression analysis," Energy & Environment, , vol. 34(3), pages 463-492, May.
    7. Temple, Jonathan & Rockey, James, 2015. "Growth Econometrics for Agnostics and True Believers," CEPR Discussion Papers 10590, C.E.P.R. Discussion Papers.
    8. Diana Zigraiova & Tomas Havranek & Jiri Novak, 2020. "How puzzling is the forward premium puzzle? A meta-analysis," Working Papers 46, European Stability Mechanism.
    9. Havranek, Tomas & Gechert, Sebastian & Irsova, Zuzana & Kolcunova, Dominika, 2021. "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias," CEPR Discussion Papers 15687, C.E.P.R. Discussion Papers.
    10. Andros Kourtellos & Ioanna Stylianou & Chih Tan, 2015. "Robust multiple regimes in growth volatility," Empirical Economics, Springer, vol. 48(1), pages 461-491, February.
    11. Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2023. "Measuring the model uncertainty of shadow economy estimates," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(4), pages 1069-1106, August.
    12. Wagner Martin & Hlouskova Jaroslava, 2015. "Growth Regressions, Principal Components Augmented Regressions and Frequentist Model Averaging," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(6), pages 642-662, December.
    13. Jindrich Matousek, 2018. "Individual Discount Rates: A Meta-Analysis of the Experimental Evidence," Working Papers IES 2018/40, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2018.
    14. Bajzik, Josef, 2021. "Trading volume and stock returns: A meta-analysis," International Review of Financial Analysis, Elsevier, vol. 78(C).
    15. Giuseppe De Luca & Jan Magnus & Franco Peracchi, 2022. "Asymptotic properties of the weighted average least squares (WALS) estimator," Tinbergen Institute Discussion Papers 22-022/III, Tinbergen Institute.
    16. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    17. Dominika Ehrenbergerova & Josef Bajzik & Tomas Havranek, 2023. "When Does Monetary Policy Sway House Prices? A Meta-Analysis," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(2), pages 538-573, June.
    18. Yin-Wong Cheung & Wenhao Wang, 2019. "A Jackknife Model Averaging Analysis of RMB Misalignment Estimates," CESifo Working Paper Series 7840, CESifo.
    19. Tomas Havranek & Zuzana Irsova & Lubica Laslopova & Olesia Zeynalova, 2020. "Skilled and Unskilled Labor Are Less Substitutable than Commonly Thought," Working Papers IES 2020/29, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
    20. Havranek, Tomas & Irsova, Zuzana & Laslopova, Lubica & Zeynalova, Olesia, 2020. "The Elasticity of Substitution between Skilled and Unskilled Labor: A Meta-Analysis," MetaArXiv 7z2uh, Center for Open Science.
    21. Zuzana Gric & Josef Bajzik & Ondrej Badura, 2021. "Does Sentiment Affect Stock Returns? A Meta-analysis Across Survey-based Measures," Working Papers 2021/10, Czech National Bank.
    22. Bajzik, Jozef & Havranek, Tomas & Irsova, Zuzana & Schwarz, Jiri, 2019. "Estimating the Armington Elasticity: The Importance of Data Choice and Publication Bias," MPRA Paper 95031, University Library of Munich, Germany.
    23. Ali Elminejad & Tomas Havranek & Roman Horvath & Zuzana Irsova, 2023. "Online Appendix to "Intertemporal Substitution in Labor Supply: A Meta-Analysis"," Online Appendices 23-196, Review of Economic Dynamics.
    24. Sebastian Gechert & Thomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2019. "Death to the Cobb-Douglas production function," IMK Working Paper 201-2019, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    25. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Ehrenbergerova, 2019. "Death to the Cobb-Douglas Production Function? A Quantitative Survey of the Capital-Labor Substitution Elasticity," Working Papers 2019/8, Czech National Bank.
    26. Tomas Havranek, Dominik Herman, and Zuzana Irsova, 2018. "Does Daylight Saving Save Electricity? A Meta-Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    27. Hamdaoui, Mekki, 2017. "Financial liberalization and systemic banking crises: A meta-analysis," International Economics, Elsevier, vol. 152(C), pages 26-54.
    28. Mandon, Pierre & Woldemichael, Martha Tesfaye, 2023. "Has Chinese aid benefited recipient countries? Evidence from a meta-regression analysis," World Development, Elsevier, vol. 166(C).
    29. Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2020. "Measuring the uncertainty of shadow economy estimates using Bayesian and frequentist model averaging," KAE Working Papers 2020-046, Warsaw School of Economics, Collegium of Economic Analysis.
    30. Zuzana Irsova & Hristos Doucouliagos & Tomas Havranek & T. D. Stanley, 2023. "Meta-Analysis of Social Science Research: A Practitioner´s Guide," Working Papers IES 2023/25, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2023.
    31. Bajzik, Josef & Havranek, Tomas & Irsova, Zuzana & Schwarz, Jiri, 2020. "Estimating the Armington elasticity: The importance of study design and publication bias," Journal of International Economics, Elsevier, vol. 127(C).
    32. Piotr Dybka, 2020. "One model or many? Exchange rates determinants and their predictive capabilities," KAE Working Papers 2020-053, Warsaw School of Economics, Collegium of Economic Analysis.
    33. Simona Malovana & Martin Hodula & Zuzana Gric & Josef Bajzik, 2022. "Borrower-Based Macroprudential Measures and Credit Growth: How Biased is the Existing Literature?," Working Papers 2022/8, Czech National Bank.
    34. Georgios Magkonis & Kalliopi‐Maria Zekente & Vasilios Logothetis, 2021. "Does the Left Spend More? An Econometric Survey of Partisan Politics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 1077-1099, August.
    35. Shahram Amini & Christopher F. Parmeter, 2020. "A Review of the ‘BMS’ Package for R with Focus on Jointness," Econometrics, MDPI, vol. 8(1), pages 1-21, February.
    36. : Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Who Benefits from Financial Development? New Methods, New Evidence," Working Papers 2013-07, University of Miami, Department of Economics.
    37. Havranek, Tomas & Irsova, Zuzana & Zeynalova, Olesia, 2017. "Tuition Reduces Enrollment Less Than Commonly Thought," MPRA Paper 78813, University Library of Munich, Germany.
    38. Simona Malovana & Martin Hodula & Josef Bajzik & Zuzana Gric, 2021. "A Tale of Different Capital Ratios: How to Correctly Assess the Impact of Capital Regulation on Lending," Working Papers 2021/8, Czech National Bank.
    39. Xindong Xue & Mingmei Cheng & Wangyongxin Zhang, 2021. "Does Education Really Improve Health? A Meta‐Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 71-105, February.
    40. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2021. "Online Appendix to "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias"," Online Appendices 20-200, Review of Economic Dynamics.
    41. Dominika Ehrenbergerova & Josef Bajzik, 2020. "The Effect of Monetary Policy on House Prices - How Strong is the Transmission?," Working Papers 2020/14, Czech National Bank.

  59. Henderson, Daniel J. & Parmeter, Christopher F., 2012. "Canonical higher-order kernels for density derivative estimation," Statistics & Probability Letters, Elsevier, vol. 82(7), pages 1383-1387.
    See citations under working paper version above.
  60. Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Growth Empirics without Parameters," Economic Journal, Royal Economic Society, vol. 122(559), pages 125-154, March.

    Cited by:

    1. Peiró-Palomino, Jesús & Tortosa-Ausina, Emili, 2013. "Can trust effects on development be generalized? A response by quantile," European Journal of Political Economy, Elsevier, vol. 32(C), pages 377-390.
    2. Md. Rabiul Islam, 2010. "Quality-adjusted Human Capital and Productivity Growth," Monash Economics Working Papers 48-10, Monash University, Department of Economics.
    3. Michele Battisti & Massimo Del Gatto & Christopher F. Parmeter, 2018. "Labor productivity growth: disentangling technology and capital accumulation," Journal of Economic Growth, Springer, vol. 23(1), pages 111-143, March.
    4. Theo Eicher & Cecilia Garcia-Peñalosa & David Kuenzel, 2018. "Constitutional rules as determinants of social infrastructure," Post-Print hal-01981017, HAL.
    5. Marcos Sanso-Navarro & María Vera-Cabello, 2015. "Non-linearities in regional growth: A non-parametric approach," Papers in Regional Science, Wiley Blackwell, vol. 94, pages 19-38, November.
    6. Chandan Sharma & Ritesh Kumar Mishra, 2022. "On the Good and Bad of Natural Resource, Corruption, and Economic Growth Nexus," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 889-922, August.
    7. Gerelmaa, Lkhagva & Kotani, Koji, 2016. "Further investigation of natural resources and economic growth: Do natural resources depress economic growth?," Resources Policy, Elsevier, vol. 50(C), pages 312-321.
    8. Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2014. "Does Education Matter for Economic Growth?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 334-359, June.
    9. Wang, Le, 2012. "Estimating Returns to Education when the IV Sample is Selective," IZA Discussion Papers 7103, Institute of Labor Economics (IZA).
    10. Wen-Shuenn Deng & Yi-Chen Lin, 2013. "Parameter heterogeneity in the foreign direct investment-income inequality relationship: a semiparametric regression analysis," Empirical Economics, Springer, vol. 45(2), pages 845-872, October.
    11. Marcos Sanso-Navarro & Maria Vera-Cabello, 2015. "The effects of knowledge and innovation on regional growth: Nonparametric evidence," ERSA conference papers ersa15p949, European Regional Science Association.
    12. Marijn Verschelde & Michel Dumont & Glenn Rayp & Bruno Merlevede, 2015. "Semiparametric stochastic metafrontier efficiency of European manufacturing firms," Post-Print hal-01563023, HAL.
    13. Theo S. Eicher & David J. Kuenzel, 2016. "The elusive effects of trade on growth: Export diversity and economic take-off," Canadian Journal of Economics, Canadian Economics Association, vol. 49(1), pages 264-295, February.
    14. Kaul, Sapna & Boyle, Kevin J. & Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2013. "What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 90-104.
    15. Patrick IMAM & Roland Kangni KPODAR, 2018. "Does an Inclusive Citizenship Law Promote Economic Development?," Working Papers P244, FERDI.
    16. Jesús Peiró-Palomino, 2016. "Social Capital and Economic Growth in Europe: Nonlinear Trends and Heterogeneous Regional Effects," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 717-751, October.
    17. Das, Monica & Basu, Sudip Ranjan, 2022. "Understanding the relationship between income inequality and pollution: A fresh perspective with cross-country evidence," World Development Perspectives, Elsevier, vol. 26(C).
    18. Andini, Monica & Andini, Corrado, 2014. "Finance, growth and quantile parameter heterogeneity," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 308-322.
    19. Jesús Peiró-Palomino & Anabel Forte Deltell, 2013. "Does social capital matter for European regional growth?," Working Papers 2013/02, Economics Department, Universitat Jaume I, Castellón (Spain).
    20. Theo S. Eicher & David J. Kuenzel, 2017. "European Influence and Economic Development," Wesleyan Economics Working Papers 2017-002, Wesleyan University, Department of Economics.
    21. Mariam Camarero & Jesús Peiró-Palomino & Cecilio Tamarit, 2018. "External imbalances and growth," Working Papers 1808, Department of Applied Economics II, Universidad de Valencia.
    22. Michele Battisti & Christopher F. Parmeter, 2011. "Income Polarization, Convergence Tools and Mixture Analysis," Working Papers 2011-17, University of Miami, Department of Economics.
    23. Lee, Chi-Chuan & Lee, Chien-Chiang & Chiou, Yan-Yu, 2017. "Insurance activities, globalization, and economic growth: New methods, new evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 155-170.
    24. Haupt, Harry & Schnurbus, Joachim & Semmler, Willi, 2018. "Estimation of grouped, time-varying convergence in economic growth," Econometrics and Statistics, Elsevier, vol. 8(C), pages 141-158.
    25. Jeffrey S. Racine & Christopher F. Parmeter, 2012. "Data-Driven Model Evaluation: A Test for Revealed Performance," Department of Economics Working Papers 2012-13, McMaster University.
    26. Stolzenburg, Ulrich, 2014. "Growth determinants across time and space: A semiparametric panel data approach," Economics Working Papers 2014-11, Christian-Albrechts-University of Kiel, Department of Economics.
    27. Mika Kortelainen & Simo Leppänen, 2013. "Public and private capital productivity in Russia: a non-parametric investigation," Empirical Economics, Springer, vol. 45(1), pages 193-216, August.
    28. Jetter, Michael & Nikolsko-Rzhevskyy, Alex & Smith, William T., 2013. "The effects of wage volatility on growth," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 93-109.
    29. Battisti, Michele & Parmeter, Christopher F., 2013. "Clustering and polarization in the distribution of output: A multivariate perspective," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 144-162.
    30. Iván Arribas & Jesús Peiró-Palomino & Emili Tortosa-Ausina, 2015. "Is full banking integration desirable?," Working Papers 2015/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    31. Henderson, Daniel J. & Qian, Junhui & Wang, Le, 2015. "The Inequality-Growth Plateau," IZA Discussion Papers 8771, Institute of Labor Economics (IZA).
    32. Michael O'Hara & Christopher F. Parmeter, 2013. "Nonparametric Generalized Least Squares in Applied Regression Analysis," Pacific Economic Review, Wiley Blackwell, vol. 18(4), pages 456-474, October.
    33. Thibaut Dort & Pierre-Guillaume Méon & Khalid Sekkat, 2013. "Does investment spur growth everywhere? Not where institutions are weak," Working Papers CEB 13-030, ULB -- Universite Libre de Bruxelles.
    34. G. Ardizzi & F. Crudu & C. Petraglia, 2015. "The Impact of Electronic Payments on Bank Cost Efficiency: Nonparametric Evidence," Working Paper CRENoS 201517, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    35. Wacker, Konstantin M., 2013. "On the measurement of foreign direct investment and its relationship to activities of multinational corporations," Working Paper Series 1614, European Central Bank.
    36. Jakob B. MADSEN & James B. ANG, 2014. "Finance-Led Growth in the OECD since the 19th century: How Does Financial Development Transmit To Growth?," Economic Growth Centre Working Paper Series 1408, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    37. Islam, Md. Rabiul & Madsen, Jakob B. & Raschky, Paul A., 2015. "Gold and silver mining in the 16th and 17th centuries, land titles and agricultural productivity," European Journal of Political Economy, Elsevier, vol. 39(C), pages 150-166.
    38. Camarero, Mariam & Peiró-Palomino, Jesús & Tamarit, Cecilio, 2019. "Growth in a time of external imbalances," Economic Modelling, Elsevier, vol. 79(C), pages 262-275.
    39. Amini, Shahram & Battisti, Michele & Parmeter, Christopher F., 2017. "Decomposing changes in the conditional variance of GDP over time," Economic Modelling, Elsevier, vol. 61(C), pages 376-387.
    40. Daniel J. Henderson & Christopher F. Parmeter & Liangjun Su, 2017. "M-Estimation of a Nonparametric Threshold Regression Model," Working Papers 2017-15, University of Miami, Department of Economics.
    41. Tuominen Elina, 2016. "Top-end inequality and growth: Empirical evidence," Working Papers 1608, Tampere University, Faculty of Management and Business, Economics.
    42. Walheer, Barnabé, 2021. "Labor productivity and technology heterogeneity," Journal of Macroeconomics, Elsevier, vol. 68(C).
    43. : Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Who Benefits from Financial Development? New Methods, New Evidence," Working Papers 2013-07, University of Miami, Department of Economics.
    44. Cai, Zongwu & Chen, Linna & Fang, Ying, 2018. "A semiparametric quantile panel data model with an application to estimating the growth effect of FDI," Journal of Econometrics, Elsevier, vol. 206(2), pages 531-553.
    45. Mustafa Koroglu, 2019. "Growth and Debt: An Endogenous Smooth Coefficient Approach," JRFM, MDPI, vol. 12(1), pages 1-22, February.

  61. Battisti, Michele & Parmeter, Christopher F., 2012. "GDP clustering: A reappraisal," Economics Letters, Elsevier, vol. 117(3), pages 837-840.

    Cited by:

    1. 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.
    2. 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.
    3. Battisti, Michele & Parmeter, Christopher F., 2013. "Clustering and polarization in the distribution of output: A multivariate perspective," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 144-162.
    4. Tsionas, Mike G., 2019. "Transition and limiting distributions when covariates are available," Economics Letters, Elsevier, vol. 183(C), pages 1-1.
    5. Carlos Mendez, 2019. "Lack of Global Convergence and the Formation of Multiple Welfare Clubs across Countries: An Unsupervised Machine Learning Approach," Economies, MDPI, vol. 7(3), pages 1-17, July.
    6. Kindberg-Hanlon,Gene & Okou,Cedric Iltis Finafa, 2020. "Productivity Convergence : Is Anyone Catching Up?," Policy Research Working Paper Series 9378, The World Bank.

  62. Henderson, Daniel J. & Parmeter, Christopher F., 2012. "Normal reference bandwidths for the general order, multivariate kernel density derivative estimator," Statistics & Probability Letters, Elsevier, vol. 82(12), pages 2198-2205.
    See citations under working paper version above.
  63. Henderson, Daniel J. & Kumbhakar, Subal C. & Parmeter, Christopher F., 2012. "A simple method to visualize results in nonlinear regression models," Economics Letters, Elsevier, vol. 117(3), pages 578-581.
    See citations under working paper version above.
  64. William Horrace & Christopher Parmeter, 2011. "Semiparametric deconvolution with unknown error variance," Journal of Productivity Analysis, Springer, vol. 35(2), pages 129-141, April.
    See citations under working paper version above.
  65. Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2010. "Which hedonic models can we trust to recover the marginal willingness to pay for environmental amenities?," Journal of Environmental Economics and Management, Elsevier, vol. 60(3), pages 145-160, November.

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    1. Tuttle, Carrie M. & Heintzelman, Martin D., 2013. "The Value of Forever Wild: An Economic Analysis of Land Use in the Adirondacks," Agricultural and Resource Economics Review, Cambridge University Press, vol. 42(1), pages 119-138, April.
    2. Edmund Zolnik, 2020. "A longitudinal analysis of the effect of public rail infrastructure on proximate residential property transactions," Urban Studies, Urban Studies Journal Limited, vol. 57(8), pages 1620-1641, June.
    3. Richard J Vyn & James Rude, 2020. "The Influence of Supply Management on Farmland Values in Ontario," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(4), pages 815-834, December.
    4. Zhang, Wendong & Nickerson, Cynthia J., 2013. "The Housing Market Bust and Farmland Values: Identifying the Changing Influence of Proximity to Urban Centers," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149870, Agricultural and Applied Economics Association.
    5. Livy, Mitchell R. & Klaiber, H. Allen, 2013. "Maintaining Public Goods: Household Valuation of New and Renovated Local Parks," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150634, Agricultural and Applied Economics Association.
    6. Henrik Andersson & Emmanuelle Lavaine, 2018. "Nitrates and property values: evidence from a french market intervention," CEE-M Working Papers hal-01947415, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    7. Liu, Xiangping & Taylor, Laura O. & Hamilton, Timothy L. & Grigelis, Peter E., 2013. "Amenity values of proximity to National Wildlife Refuges: An analysis of urban residential property values," Ecological Economics, Elsevier, vol. 94(C), pages 37-43.
    8. Yoo, James & Simonit, Silvio & Connors, John P. & Maliszewski, Paul J. & Kinzig, Ann P. & Perrings, Charles, 2013. "The value of agricultural water rights in agricultural properties in the path of development," Ecological Economics, Elsevier, vol. 91(C), pages 57-68.
    9. Patrick Doupe & Leo Dobes & Frank Jotzo, 2019. "Improving Understanding of Flood Risk: the Effects of Lowering the Cost of Accessing Flood Risk Information," Economics of Disasters and Climate Change, Springer, vol. 3(2), pages 101-117, July.
    10. Kousky, Carolyn & Walls, Margaret, 2013. "Floodplain Conservation as a Flood Mitigation Strategy: Examining Costs and Benefits," RFF Working Paper Series dp-13-22-rev, Resources for the Future.
    11. Christopher Higgins & Pavlos Kanaroglou, 2018. "Rapid transit, transit-oriented development, and the contextual sensitivity of land value uplift in Toronto," Urban Studies, Urban Studies Journal Limited, vol. 55(10), pages 2197-2225, August.
    12. Daams, Michiel N. & Sijtsma, Frans J. & Veneri, Paolo, 2019. "Mixed monetary and non-monetary valuation of attractive urban green space: A case study using Amsterdam house prices," Ecological Economics, Elsevier, vol. 166(C), pages 1-1.
    13. H. Spencer Banzhaf & Kyle Mangum, 2019. "Capitalization as a Two-Part Tariff: The Role of Zoning," NBER Working Papers 25699, National Bureau of Economic Research, Inc.
    14. Kathrine von Graevenitz & Toke Emil Panduro, 2015. "An Alternative to the Standard Spatial Econometric Approaches in Hedonic House Price Models," Land Economics, University of Wisconsin Press, vol. 91(2), pages 386-409.
    15. Ina Blind & Matz Dahlberg, 2020. "Immigration, new religious symbols, and the dynamics of neighborhoods," Journal of Regional Science, Wiley Blackwell, vol. 60(5), pages 929-958, November.
    16. David Boto-García & Veronica Leoni, 2023. "The Economic Value of Coastal Amenities: Evidence from Beach Capitalization Effects in Peer-to-Peer Markets," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(2), pages 529-557, February.
    17. Goetzke, Frank & Rave, Tilmann, 2016. "Exploring heterogeneous growth of wind energy across Germany," Utilities Policy, Elsevier, vol. 41(C), pages 193-205.
    18. Céline Grislain-Letrémy & Arthur Katossky, 2014. "The Impact of Hazardous Industrial Facilities on Housing Prices : A Comparison of Parametric and Semiparametric Hedonic Price Models," Working Papers 2014-13, Center for Research in Economics and Statistics.
    19. Jan Rouwendal & Ramona van Marwijk & Or Levkovich, 2014. "The Value of Proximity to Water in Residential Areas," Tinbergen Institute Discussion Papers 14-047/VIII, Tinbergen Institute.
    20. Joshua K. Abbott & H. Allen Klaiber & V. Kerry Smith, 2015. "Economic Behavior, Market Signals, and Urban Ecology," NBER Working Papers 20959, National Bureau of Economic Research, Inc.
    21. Xuan Huang & Bruno Lanz, 2018. "The Value of Air Quality in Chinese Cities: Evidence from Labor and Property Market Outcomes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(4), pages 849-874, December.
    22. Nicolai V. Kuminoff & V. Kerry Smith & Christopher Timmins, 2010. "The New Economics of Equilibrium Sorting and its Transformational Role for Policy Evaluation," NBER Working Papers 16349, National Bureau of Economic Research, Inc.
    23. H. Allen Klaiber & V. Kerry Smith, 2013. "Quasi Experiments, Hedonic Models, and Estimating Trade-offs for Local Amenities," Land Economics, University of Wisconsin Press, vol. 89(3), pages 413-431.
    24. Kerri Agnew & Ronan Lyons, 2017. "The Impact of Employment on Housing Prices: Detailed Evidence from FDI in Ireland," Trinity Economics Papers tep0417, Trinity College Dublin, Department of Economics.
    25. Walls, Margaret & Kousky, Carolyn & Chu, Ziyan, 2013. "Is What You See What You Get? The Value of Natural Landscape Views," RFF Working Paper Series dp-13-25, Resources for the Future.
    26. Beltrán, Allan & Maddison, David & Elliott, Robert J. R., 2018. "Assessing the economic benefits of flood defenses: a repeat-sales approach," LSE Research Online Documents on Economics 90207, London School of Economics and Political Science, LSE Library.
    27. Murakami, Jin & He, Yiming, 2018. "Highway investment in deindustrialization: A territorial analysis of office property transactions in Hong Kong, 2002–2013," Journal of Transport Geography, Elsevier, vol. 66(C), pages 200-212.
    28. Li, Liqing, 2023. "Environmental goods provision and gentrification: Evidence from MillionTreesNYC," Journal of Environmental Economics and Management, Elsevier, vol. 120(C).
    29. von Graevenitz, Kathrine, 2016. "The amenity cost of road noise," ZEW Discussion Papers 16-087, ZEW - Leibniz Centre for European Economic Research.
    30. Lim, Krisha & Wichmann, Bruno & Luckert, Martin, 2021. "Adaptation, spatial effects, and targeting: Evidence from Africa and Asia," World Development, Elsevier, vol. 139(C).
    31. Gibbons, Stephen, 2015. "Gone with the wind: Valuing the visual impacts of wind turbines through house prices," Journal of Environmental Economics and Management, Elsevier, vol. 72(C), pages 177-196.
    32. Seung Kyum Kim & Paul Joosse & Mia M. Bennett & Terry Gevelt, 2020. "Impacts of green infrastructure on flood risk perceptions in Hong Kong," Climatic Change, Springer, vol. 162(4), pages 2277-2299, October.
    33. Nicolai V. Kuminoff, 2018. "Can Understanding Spatial Equilibria Enhance Benefit Transfers for Environmental Policy Evaluation?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(3), pages 591-608, March.
    34. Yasin Sunak & Reinhard Madlener, 2017. "The impact of wind farms on property values: A locally weighted hedonic pricing model," Papers in Regional Science, Wiley Blackwell, vol. 96(2), pages 423-444, June.
    35. Liv Osland & John Östh & Viggo Nordvik, 2022. "House price valuation of environmental amenities: An application of GIS‐derived data," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(4), pages 939-959, August.
    36. Jensen, Cathrine Ulla & Panduro, Toke Emil & Lundhede, Thomas Hedemark & Nielsen, Anne Sofie Elberg & Dalsgaard, Mette & Thorsen, Bo Jellesmark, 2018. "The impact of on-shore and off-shore wind turbine farms on property prices," Energy Policy, Elsevier, vol. 116(C), pages 50-59.
    37. Kim, GwanSeon & Schieffer, Jack & Mark, Tyler, 2020. "Do superfund sites affect local property values? Evidence from a spatial hedonic approach," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 15-28.
    38. Frank Goetzke & William Hankins & Gary A. Hoover, 2017. "Partisan Determinants of Federal Highway Grants," CESifo Working Paper Series 6603, CESifo.
    39. Joly, Machteld & De Jaeger, Simon, 2021. "Not in my backyard: A hedonic approach to the construction timeline of wind turbines in Flanders, Belgium," Land Use Policy, Elsevier, vol. 108(C).
    40. Daams, Michiel N. & Proietti, Paola & Veneri, Paolo, 2019. "The effect of asylum seeker reception centers on nearby house prices: Evidence from The Netherlands," Journal of Housing Economics, Elsevier, vol. 46(C).
    41. Roberts, Shane & Brooks, Kathleen R. & Nogueira, Lia & Walters, Cory G., 2020. "The Role of Quality Characteristics in Pricing Hard Red Winter Wheat," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304560, Agricultural and Applied Economics Association.
    42. Nicolai V. Kuminoff & Jaren C. Pope, 2014. "Do “Capitalization Effects” For Public Goods Reveal The Public'S Willingness To Pay?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(4), pages 1227-1250, November.
    43. Balthrop, Andrew T. & Hawley, Zackary, 2017. "I can hear my neighbors' fracking: The effect of natural gas production on housing values in Tarrant County, TX," Energy Economics, Elsevier, vol. 61(C), pages 351-362.
    44. Mitchell R. Livy, 2020. "Extreme natural events are associated with significant economic losses and expected to increase in frequency and intensity with time. While previous research has primarily investigated singular event ," Economics Bulletin, AccessEcon, vol. 40(1), pages 665-678.
    45. Meri Davlasheridze & Qin Fan, 2019. "Valuing Seawall Protection in the Wake of Hurricane Ike," Economics of Disasters and Climate Change, Springer, vol. 3(3), pages 257-279, October.
    46. Mika Kortelainen & Jibonayan Raychaudhuri & Beatrice Roussillon, 2013. "Effects of Carbon Reduction Labels: Evidence From Scanner Data," Economics Discussion Paper Series 1309, Economics, The University of Manchester.
    47. Nathaly M Rivera, 2019. "Spatial Aggregation Bias in Implicit Prices of Environmental Amenities," Economics Bulletin, AccessEcon, vol. 39(2), pages 1184-1194.
    48. Acton, Blake & Le, Huyen T.K. & Miller, Harvey J., 2022. "Impacts of bus rapid transit (BRT) on residential property values: A comparative analysis of 11 US BRT systems," Journal of Transport Geography, Elsevier, vol. 100(C).
    49. Martin D. Heintzelman & Carrie M. Tuttle, 2012. "Values in the Wind: A Hedonic Analysis of Wind Power Facilities," Land Economics, University of Wisconsin Press, vol. 88(3), pages 571-588.
    50. Ngawang Dendup & Kuenzang Tshering, 2018. "Demand for piped drinking water and a formal sewer system in Bhutan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 681-703, July.
    51. Munro, Kirstin & Tolley, George, 2018. "Property values and tax rates near spent nuclear fuel storage," Energy Policy, Elsevier, vol. 123(C), pages 433-442.
    52. Cheng Keat Tang, 2016. "Traffic Externalities and Housing Prices: Evidence from the London Congestion Charge," SERC Discussion Papers 0205, Centre for Economic Performance, LSE.
    53. Du, Xuejun & Huang, Zhonghua, 2018. "Spatial and temporal effects of urban wetlands on housing prices: Evidence from Hangzhou, China," Land Use Policy, Elsevier, vol. 73(C), pages 290-298.
    54. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2021. "Real estate listings and their usefulness for hedonic regressions," Empirical Economics, Springer, vol. 61(6), pages 3239-3269, December.
    55. Syed Badruddoza & Andrea C. Carlson & Jill J. McCluskey, 2022. "Long‐term dynamics of US organic milk, eggs, and yogurt premiums," Agribusiness, John Wiley & Sons, Ltd., vol. 38(1), pages 45-72, January.
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    181. Panduro, Toke Emil & Jensen, Cathrine Ulla & Lundhede, Thomas Hedemark & von Graevenitz, Kathrine & Thorsen, Bo Jellesmark, 2018. "Eliciting preferences for urban parks," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 127-142.
    182. Melstrom, Richard T. & Lee, Kangil & Byl, Jacob P., 2016. "The effect of endangered species regulations on local employment: Evidence from the listing of the lesser prairie chicken," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236254, Agricultural and Applied Economics Association.
    183. Lydia Cheung & Mario Andres Fernandez, 2021. "Changes in Amenity Values after COVID‐19 Lockdowns in Auckland, New Zealand," Economic Papers, The Economic Society of Australia, vol. 40(4), pages 331-350, December.
    184. Moeltner, Klaus & Puri, Roshan & Johnston, Robert J., 2023. "Regression and matching in hedonic analysis: Empirical guidance for estimator choice," 2023 Annual Meeting, July 23-25, Washington D.C. 335807, Agricultural and Applied Economics Association.
    185. Piet Eichholtz & Nils Kok & Mike Langen & Daan Vulpen, 2023. "Clean Electricity, Dirty Electricity: The Effect on Local House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 66(4), pages 743-777, May.
    186. Nicholas B. Irwin & Mitchell R. Livy, 2022. "Price and Liquidity Dynamics for Single and Multi-Family Homes during Housing Market Shocks," The Journal of Real Estate Finance and Economics, Springer, vol. 65(1), pages 22-47, July.
    187. Hybel, Jesper & Mulalic, Ismir, 2021. "Transportation and Quality of Life: Evidence from Denmark," Working Papers 14-2021, Copenhagen Business School, Department of Economics.
    188. Ma, Chunbo & Polyakov, Maksym & Pandit, Ram, 2015. "Solar Capitalization in Western Australian Property Market," Working Papers 199230, University of Western Australia, School of Agricultural and Resource Economics.
    189. Cornwall, Gary J. & Parent, Olivier, 2017. "Embracing heterogeneity: the spatial autoregressive mixture model," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 148-161.
    190. Sunak, Yasin & Madlener, Reinhard, 2014. "Local Impacts of Wind Farms on Property Values: A Spatial Difference-in-Differences Analysis," FCN Working Papers 1/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Oct 2014.
    191. Kent F. Kovacs & Shelby Rider, 2022. "Estimating the Demand for In Situ Groundwater for Climate Resilience: The Case of the Mississippi River Alluvial Aquifer in Arkansas," NBER Chapters, in: American Agriculture, Water Resources, and Climate Change, pages 367-381, National Bureau of Economic Research, Inc.
    192. Daniel J. Phaneuf & Laura O. Taylor & John B. Braden, 2013. "Combining Revealed and Stated Preference Data to Estimate Preferences for Residential Amenities: A GMM Approach," Land Economics, University of Wisconsin Press, vol. 89(1), pages 30-52.
    193. Georgic, Will & Klaiber, H. Allen, 2022. "Stocks, flows, and flood insurance: A nationwide analysis of the capitalized impact of annual premium discounts on housing values," Journal of Environmental Economics and Management, Elsevier, vol. 111(C).
    194. David Wolf & Kenji Takeuchi, 2022. "Who Gives a Dam? Capitalization of Flood Protection in Fukuoka, Japan," Discussion Papers 2203, Graduate School of Economics, Kobe University.
    195. 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.
    196. Tom Gillespie & Stephen Hynes & Ronan C Lyons, 2018. "Picture or Playground: Valuing Coastal Amenities," Trinity Economics Papers tep0518, Trinity College Dublin, Department of Economics, revised Mar 2019.
    197. Arnstein Gjestland & David McArthur & Liv Osland & Inge Thorsen, 2011. "Alternative methods for quantifying commuting-related benefits of new transport infrastructure," ERSA conference papers ersa11p1223, European Regional Science Association.
    198. Hitaj, Claudia & Lynch, Lori & McConnell, Kenneth E. & Tra, Constant I., 2018. "The Value of Ozone Air Quality Improvements to Renters: Evidence From Apartment Building Transactions in Los Angeles County," Ecological Economics, Elsevier, vol. 146(C), pages 706-721.
    199. Sampson, Gabriel S. & Hendricks, Nathan P. & Taylor, Mykel R., 2019. "Land market valuation of groundwater," Resource and Energy Economics, Elsevier, vol. 58(C).
    200. Heintzelman, Martin D. & Vyn, Richard J. & Guth, Sarah, 2017. "Understanding the Amenity Impacts of Wind Development on an International Border," Ecological Economics, Elsevier, vol. 137(C), pages 195-206.
    201. Hidano, Noboru & Hoshino, Tadao & Sugiura, Ayako, 2015. "The effect of seismic hazard risk information on property prices: Evidence from a spatial regression discontinuity design," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 113-122.
    202. Jellicoe, Michaela & Delgado, Michael S., 2015. "Quantifying the Effects of Underground Natural Gas Storage on Nearby Residents," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(2), pages 1-24, August.
    203. Jose Torres-Pruñonosa & Pablo García-Estévez & Camilo Prado-Román, 2021. "Artificial Neural Network, Quantile and Semi-Log Regression Modelling of Mass Appraisal in Housing," Mathematics, MDPI, vol. 9(7), pages 1-16, April.
    204. Weng, Weizhe & Boyle, Kevin J. & Farrell, Kaitlin J. & Carey, Cayelan C. & Cobourn, Kelly M. & Dugan, Hilary A. & Hanson, Paul C. & Ward, Nicole K. & Weathers, Kathleen C., 2020. "Coupling Natural and Human Models in the Context of a Lake Ecosystem: Lake Mendota, Wisconsin, USA," Ecological Economics, Elsevier, vol. 169(C).
    205. Seo, Kihwan & Golub, Aaron & Kuby, Michael, 2014. "Combined impacts of highways and light rail transit on residential property values: a spatial hedonic price model for Phoenix, Arizona," Journal of Transport Geography, Elsevier, vol. 41(C), pages 53-62.
    206. Koen van Ruijven & Joep Tijm, 2022. "Do people value environmental goods? Evidence from the Netherlands," CPB Discussion Paper 438, CPB Netherlands Bureau for Economic Policy Analysis.
    207. Tanner, S., 2018. "Burning down the house: the cost of wildfires in heavily urbanized areas," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275955, International Association of Agricultural Economists.
    208. Khan, Rana Asad Javid & Thaheem, Muhammad Jamaluddin & Ali, Tauha Hussain, 2020. "Are Pakistani homebuyers ready to adopt sustainable housing? An insight into their willingness to pay," Energy Policy, Elsevier, vol. 143(C).

  66. Subal Kumbhakar & Christopher Parmeter, 2010. "Estimation of hedonic price functions with incomplete information," Empirical Economics, Springer, vol. 39(1), pages 1-25, August.

    Cited by:

    1. Chang-Chih Chen & Chia-Chien Chang, 2019. "How Big are the Ambiguity-Based Premiums on Mortgage Insurances?," The Journal of Real Estate Finance and Economics, Springer, vol. 58(1), pages 133-157, January.
    2. 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.
    3. Chen, Kong-Pin & Liu, Yu-Sheng & Yu, Ya-Ting, 2012. "The Seller's listing strategy in online auctions: evidence from eBay," MPRA Paper 38369, University Library of Munich, Germany.
    4. Carriazo, Fernando & Ready, Richard & Shortle, James, 2013. "Using stochastic frontier models to mitigate omitted variable bias in hedonic pricing models: A case study for air quality in Bogotá, Colombia," Ecological Economics, Elsevier, vol. 91(C), pages 80-88.
    5. 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.
    6. 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.
    7. Maximilian Humpesch & Stefan Seifert & Alfons Balmann & Silke Hüttel, 2022. "How does tenancy affect farmland prices? Effects of lease status, lease term and buyer type," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 83(2), pages 242-263, September.
    8. Stefan Seifert & Christoph Kahle & Silke Hüttel, 2021. "Price Dispersion in Farmland Markets: What Is the Role of Asymmetric Information?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1545-1568, August.
    9. 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.
    10. 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.
    11. 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.
    12. Xiaorong Zhou & Karen Gibler & Velma Zahirovic-Herbert, 2015. "Asymmetric buyer information influence on price in a homogeneous housing market," Urban Studies, Urban Studies Journal Limited, vol. 52(5), pages 891-905, April.
    13. 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.
    14. 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).
    15. Sauveur Giannoni & Olivier Beaumais & Caroline Tafani, 2019. "Price gap between non-local and local buyers on the farmland market: a potential outcome approach," Working Papers hal-02400305, HAL.

  67. Asaftei, Gabriel & Parmeter, Christopher F., 2010. "Market power, EU integration and privatization: The case of Romania," Journal of Comparative Economics, Elsevier, vol. 38(3), pages 340-356, September.

    Cited by:

    1. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    2. Zhang, Rui & Sun, Kai & Delgado, Michael S. & Kumbhakar, Subal C., 2012. "Productivity in China's high technology industry: Regional heterogeneity and R&D," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 127-141.
    3. Claudia Bobalca & Camelia Soponaru & Oana Ciobanu (Tugulea), 2013. "European Integration - A Comparative Perspective Between Romania And The Republic Of Moldova," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 5(3), pages 330-343, September.
    4. Cristian-Florin Dananau, 2015. "Non-governmental credit in Romania: a VECM-based approach," Romanian Statistical Review, Romanian Statistical Review, vol. 63(1), pages 87-106, March.
    5. Laura Cabeza García & Silvia Gómez Ansón, 2012. "What Drives the Operating Performance of Privatised Firms?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(1), pages 1-27, February.

  68. Valentina Hartarska & Christopher F. Parmeter & Denis Nadolnyak, 2010. "Economies of Scope of Lending and Mobilizing Deposits in Microfinance Institutions: A Semiparametric Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 389-398.

    Cited by:

    1. Delis, Manthos D & Iosifidi, Maria & Tsionas, Efthymios, 2012. "On the estimation of marginal cost," MPRA Paper 43514, University Library of Munich, Germany.
    2. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2013. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regression," LIDAM Discussion Papers ISBA 2013025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    3. Carlos Serrano-Cinca & Begoña Gutiérrez-Nieto, 2012. "Microfinance, the long tail and mission drift," Working Papers CEB 12-001, ULB -- Universite Libre de Bruxelles.
    4. Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2014. "Does Education Matter for Economic Growth?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 334-359, June.
    5. Zhang, Rui & Sun, Kai & Delgado, Michael S. & Kumbhakar, Subal C., 2012. "Productivity in China's high technology industry: Regional heterogeneity and R&D," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 127-141.
    6. Li, Degui & Simar, Léopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 424-444.
    7. Thomas Triebs & Subal C. Kumbhakar, 2012. "Management Practice in Production," ifo Working Paper Series 129, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    8. Syeda Sonia Parvin & Belayet Hossain & Muhammad Mohiuddin & Qingfeng Cao, 2020. "Capital Structure, Financial Performance, and Sustainability of Micro-Finance Institutions (MFIs) in Bangladesh," Sustainability, MDPI, vol. 12(15), pages 1-18, August.

  69. Valentina Hartarska & Christopher F. Parmeter & Denis Nadolnyak & Beibei Zhu, 2010. "Economies Of Scope For Microfinance: Differences Across Output Measures," Pacific Economic Review, Wiley Blackwell, vol. 15(4), pages 464-481, October.

    Cited by:

    1. Hartarska, Valentina & Mersland, Roy & Nadolnyak, Denis, 2013. "Are Women Better Bankers to the Poor? Evidence from Rural Microfinance Institutions," 2014 Allied Social Sciences Association (ASSA) Annual Meeting, January 3-5, 2014, Philadelphia, PA 161653, Agricultural and Applied Economics Association.
    2. Sefa Awaworyi Churchill, 2020. "Microfinance financial sustainability and outreach: is there a trade-off?," Empirical Economics, Springer, vol. 59(3), pages 1329-1350, September.
    3. Malikov, Emir & Hartarska, Valentina, 2018. "Endogenous Scope Economies in Microfinance Institutions," MPRA Paper 87450, University Library of Munich, Germany.
    4. Michael Delgado & Christopher Parmeter & Valentina Hartarska & Roy Mersland, 2015. "Should all microfinance institutions mobilize microsavings? Evidence from economies of scope," Empirical Economics, Springer, vol. 48(1), pages 193-225, February.
    5. Knar Khachatryan & Vardan Baghdasaryan & Valentina Hartarska, 2018. "Is the model loans-plus-savings better for microfinance in ECA? A PSM comparison," Working Paper c5a69366-4231-479c-879d-c, European Microfinance Network.
    6. Malikov, Emir & Hartarska, Valentina & Mersland, Roy, 2019. "Economies of Diversification in Microfinance: Evidence from Quantile Estimation on Panel Data," MPRA Paper 95935, University Library of Munich, Germany.
    7. Kaul, Sapna & Boyle, Kevin J. & Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2013. "What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 90-104.
    8. Hartarska, Valentina & Shen, Xuan & Mersland, Roy, 2013. "Scale economies and input price elasticities in microfinance institutions," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 118-131.
    9. Bruno, Olivier & Khachatryan, Knar, 2020. "Compulsory versus voluntary savings as an incentive mechanism in microfinance programs," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    10. Muneer Babu M., 2016. "Macroeconomic Determinants of Technological Change in Indian Microfinance Institutions," Global Business Review, International Management Institute, vol. 17(5), pages 1179-1195, October.
    11. Anastasia Cozarenco & Valentina Hartarska & Ariane Szafarz, 2019. "Too Many Cooks Spoil the Broth: The Conflicting Impacts of Subsidies and Deposits on the Cost-Efficiency of Microfinance Institutions," Working Papers CEB 19-001, ULB -- Universite Libre de Bruxelles.
    12. Moh’d Al-Azzam & Christopher Parmeter, 2021. "Competition and microcredit interest rates: international evidence," Empirical Economics, Springer, vol. 60(2), pages 829-868, February.
    13. Bailey, Rachel & Hartarska, Valentina, 2017. "Women's Property Rights and Outreach of Microfinance Institutions Targeting Women," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 253159, Southern Agricultural Economics Association.

  70. Kevin J. Boyle & Nicolai V. Kuminoff & Christopher F. Parmeter & Jaren C. Pope, 2010. "The Benefit-Transfer Challenges," Annual Review of Resource Economics, Annual Reviews, vol. 2(1), pages 161-182, October.

    Cited by:

    1. Duke, Joshua M. & Dundas, Steven J. & Johnston, Robert J. & Messer, Kent D., 2014. "Prioritizing payment for environmental services: Using nonmarket benefits and costs for optimal selection," Ecological Economics, Elsevier, vol. 105(C), pages 319-329.
    2. Robert Turner, 2013. "Using contingent choice surveys to inform national park management," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 3(2), pages 120-138, June.
    3. Sherrouse, Benson C. & Semmens, Darius J., 2014. "Validating a method for transferring social values of ecosystem services between public lands in the Rocky Mountain region," Ecosystem Services, Elsevier, vol. 8(C), pages 166-177.
    4. N. Yaduma & M. Kortelainen & A. Wossink, 2012. "Estimating Mortality and Economic Costs of Particulate Air Pollution in Developing Countries: The Case of Nigeria," Economics Discussion Paper Series 1223, Economics, The University of Manchester.
    5. Hermine Vedogbeton & Robert J. Johnston, 2020. "Commodity Consistent Meta-Analysis of Wetland Values: An Illustration for Coastal Marsh Habitat," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(4), pages 835-865, April.
    6. Norton, Daniel & Hynes, Stephen, 2018. "Estimating the Benefits of the Marine Strategy Framework Directive in Atlantic Member States: A Spatial Value Transfer Approach," Ecological Economics, Elsevier, vol. 151(C), pages 82-94.
    7. Kaul, Sapna & Boyle, Kevin J. & Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2013. "What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 90-104.
    8. Whittington, Dale & Jeuland, Marc & Barker, Kate & Yuen, Yvonne, 2012. "Setting Priorities, Targeting Subsidies among Water, Sanitation, and Preventive Health Interventions in Developing Countries," World Development, Elsevier, vol. 40(8), pages 1546-1568.
    9. D'Alberto, Riccardo & Zavalloni, Matteo & Raggi, Meri & Viaggi, Davide, 2021. "A Statistical Matching approach to reproduce the heterogeneity of willingness to pay in benefit transfer," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    10. Pascoe, Sean & Doshi, Amar & Kovac, Mladen & Austin, Angelica, 2019. "Estimating coastal and marine habitat values by combining multi-criteria methods with choice experiments," Ecosystem Services, Elsevier, vol. 38(C), pages 1-1.
    11. Klaiber, H. Allen & Smith, V. Kerry, 2012. "Developing General Equilibrium Benefit Analyses for Social Programs: An Introduction and Example," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 3(2), pages 1-52, May.
    12. Nathan W. Chan & Casey J. Wichman, 2022. "Valuing Nonmarket Impacts of Climate Change on Recreation: From Reduced Form to Welfare," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(1), pages 179-213, January.
    13. Lyssenko, Nikita & Martinez-Espineira, Roberto, 2009. "`Been there done that': Disentangling option value effects from user heterogeneity when valuing natural resources with a use component," MPRA Paper 21976, University Library of Munich, Germany, revised 08 Apr 2010.
    14. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    15. Kevin J. Boyle & Christopher F. Parmeter, 2017. "Benefit Transfer for Ecosystem Services," Working Papers 2017-07, University of Miami, Department of Economics.
    16. Addicott, Ethan T. & Fenichel, Eli P., 2019. "Spatial aggregation and the value of natural capital," Journal of Environmental Economics and Management, Elsevier, vol. 95(C), pages 118-132.
    17. Robert J. Johnston & Kevin J. Boyle & Maria L. Loureiro & Ståle Navrud & John Rolfe, 2021. "Guidance to Enhance the Validity and Credibility of Environmental Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 575-624, July.
    18. Sarah Shababi, 2014. "The Water Framework Directive: recent approaches in England and Wales and suggestions for recognising environmental and resource costs in Italy," ECONOMIA E DIRITTO DEL TERZIARIO, FrancoAngeli Editore, vol. 2014(3), pages 367-387.
    19. Kevin J. Boyle & Jeffrey M. Wooldridge, 2018. "Understanding Error Structures and Exploiting Panel Data in Meta-analytic Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(3), pages 609-635, March.
    20. Mazzotta, Marisa & Wainger, Lisa & Sifleet, Samantha & Petty, J.Todd & Rashleigh, Brenda, 2015. "Benefit transfer with limited data: An application to recreational fishing losses from surface mining," Ecological Economics, Elsevier, vol. 119(C), pages 384-398.
    21. Klaus Glenk & Julia Martin-Ortega & Manuel Pulido-Velazquez & Jacqueline Potts, 2015. "Inferring Attribute Non-attendance from Discrete Choice Experiments: Implications for Benefit Transfer," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 60(4), pages 497-520, April.

  71. Kevin J. Boyle & Nicolai V. Kuminoff & Christopher F. Parmeter & Jaren C. Pope, 2009. "Necessary Conditions for Valid Benefit Transfers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1328-1334.

    Cited by:

    1. Kevin Boyle & Sapna Kaul & Ali Hashemi & Xiaoshu Li, 2015. "Applicability of benefit transfers for evaluation of homeland security counterterrorism measures," Chapters, in: Carol Mansfield & V. K. Smith (ed.), Benefit–Cost Analyses for Security Policies, chapter 10, pages 225-253, Edward Elgar Publishing.
    2. N. Yaduma & M. Kortelainen & A. Wossink, 2012. "Estimating Mortality and Economic Costs of Particulate Air Pollution in Developing Countries: The Case of Nigeria," Economics Discussion Paper Series 1223, Economics, The University of Manchester.
    3. Kevin Boyle & Christopher Parmeter & Brent Boehlert & Robert Paterson, 2013. "Due Diligence in Meta-analyses to Support Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(3), pages 357-386, July.
    4. Kaul, Sapna & Boyle, Kevin J. & Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2013. "What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 90-104.
    5. Luke Fitzpatrick & Christopher F. Parmeter & Juan Agar, 2016. "Threshold Effects in Meta Analyses with Application to Benefit Transfer for Coral Reef Valuation," Working Papers 2016-03, University of Miami, Department of Economics.
    6. Sangha, Kamaljit K & Evans, Jay & Edwards, Andrew & Russell-Smith, Jeremy & Fisher, Rohan & Yates, Cameron & Costanza, Robert, 2021. "Assessing the value of ecosystem services delivered by prescribed fire management in Australian tropical savannas," Ecosystem Services, Elsevier, vol. 51(C).
    7. Newbold, Stephen C. & Johnston, Robert J., 2020. "Valuing non-market valuation studies using meta-analysis: A demonstration using estimates of willingness-to-pay for water quality improvements," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    8. Stephen Newbold & R. David Simpson & D. Matthew Massey & Matthew T. Heberling & William Wheeler & Joel Corona & Julie Hewitt, 2018. "Benefit Transfer Challenges: Perspectives from U.S. Practitioners," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(3), pages 467-481, March.
    9. de Ayala, Amaia & Mariel, Petr & Meyerhoff, Jürgen, 2014. "Transferring landscape values using discrete choice experiments: Is meta-analysis an option?," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 14(01), pages 1-16, June.
    10. Kerr, Geoffrey N. & Latham, N., 2011. "The Value of Recreational Inshore Marine Fishing," 2011 Conference, August 25-26, 2011, Nelson, New Zealand 115408, New Zealand Agricultural and Resource Economics Society.
    11. Robert J. Johnston & Kevin J. Boyle & Maria L. Loureiro & Ståle Navrud & John Rolfe, 2021. "Guidance to Enhance the Validity and Credibility of Environmental Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 575-624, July.
    12. Baral, Nawa Raj & Mishra, Shruti K. & George, Anthe & Gautam, Sagar & Mishra, Umakant & Scown, Corinne D., 2022. "Multifunctional landscapes for dedicated bioenergy crops lead to low-carbon market-competitive biofuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    13. Jasper N. Meya, 2020. "Environmental Inequality and Economic Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(2), pages 235-270, July.
    14. Kevin J. Boyle & Jeffrey M. Wooldridge, 2018. "Understanding Error Structures and Exploiting Panel Data in Meta-analytic Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(3), pages 609-635, March.
    15. Fitzpatrick, Luke & Parmeter, Christopher F. & Agar, Juan, 2019. "Approaches for visualizing uncertainty in benefit transfer from metaregression," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.

  72. Subal Kumbhakar & Christopher Parmeter, 2009. "The effects of match uncertainty and bargaining on labor market outcomes: evidence from firm and worker specific estimates," Journal of Productivity Analysis, Springer, vol. 31(1), pages 1-14, February.

    Cited by:

    1. Z. Jun Lin & Shengqiang Liu & Fangcheng Sun, 2017. "The Impact of Financing Constraints and Agency Costs on Corporate R&D Investment: Evidence from China," International Review of Finance, International Review of Finance Ltd., vol. 17(1), pages 3-42, March.
    2. 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.
    3. Chenhui Ding & Xiaoming Song & Yingchun Xing & Yuxuan Wang, 2023. "Bilateral Effects of the Digital Economy on Manufacturing Employment: Substitution Effect or Creation Effect?," Sustainability, MDPI, vol. 15(19), pages 1-22, October.
    4. Solomon W. Polachek, 2017. "Heterogeneity in the Labor Market: Ability and Information Acquisition," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(3), pages 377-390, June.
    5. 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).
    6. Shao, Wen-Chao & Zhang, Han & Chou, Li-Chen & Ye, Xi-Xi, 2023. "Comparing athletes’ mastery of salary information before and during the COVID-19 pandemic: Evidence from the national basketball association," Economic Modelling, Elsevier, vol. 128(C).
    7. 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.
    8. Stefan Seifert & Christoph Kahle & Silke Hüttel, 2021. "Price Dispersion in Farmland Markets: What Is the Role of Asymmetric Information?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1545-1568, August.
    9. Kossi Messanh Agbekponou & Ilaria Fusacchia, 2023. "Global value chains' position and value capture: Firm evidence in agri-food industry," Post-Print hal-04321612, HAL.
    10. 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.
    11. Ferona, Angeliki & Tsionas, Efthymios G., 2012. "Measurement of excess bidding in auctions," Economics Letters, Elsevier, vol. 116(3), pages 377-380.
    12. Kossi Messanh Agbekponou & Ilaria Fusacchia, 2023. "Global value chains' position and value capture: Firm evidence in agri-food industry," Post-Print hal-04321670, HAL.
    13. Xin Zhang & Chenhui Ding & Chao Liu & Xianzhong Teng & Ruoman Lv & Yiming Cai, 2023. "The Bilateral Effects of Population Aging on Regional Carbon Emissions in China: Promotion or Inhibition Effect?," Sustainability, MDPI, vol. 15(23), pages 1-17, November.
    14. Ping Dong & Yuteng Zhu & Shengsen Duan & Minling Wu & Jiangdong Bao, 2023. "How Does the Digital Economy Promote a Culture of Business Innovation? A Study Based on Human Capital Allocation Perspective," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    15. 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.
    16. Meng-Ying Wang & Li-Chen Chou, 2024. "Evaluating information asymmetry effects on hotel pricing: a comparative analysis before and during the COVID-19 pandemic in the Taiwan’s market," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    17. 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.
    18. 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.
    19. Xin Zhao & Yishuo Jiao & Dan Wu, 2022. "The impact of Internet use on labor wage distortions: Empirical Evidence From China," SAGE Open, , vol. 12(2), pages 21582440221, May.
    20. 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.
    21. Wang, Mengjiao & Liu, Jianxu & Rahman, Sanzidur & Sun, Xiaoqi & Sriboonchitta, Songsak, 2023. "The effect of China’s outward foreign direct investment on carbon intensity of Belt and Road Initiative countries: A double-edged sword," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 792-808.
    22. 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).
    23. Changxin Xu & Lihua Yang & Bin Zhang & Min Song, 2021. "Bargaining power and information asymmetry in China’s water market: an empirical two-tier stochastic frontier analysis," Empirical Economics, Springer, vol. 61(5), pages 2395-2418, November.
    24. Hongjun Sun & Zuoxiang Zhao & Ding Han, 2024. "Growth Models and Influencing Mechanisms of Total Factor Productivity in China’s National High-Tech Zones," Sustainability, MDPI, vol. 16(8), pages 1-19, April.
    25. Ziwen Zhu & Fei Qin, "undated". "Happier Upper Classes? €“ Do The Intra-Firm Compensation Gap And Gender Wage Discrimination Exist: Evidence From A Chinese Company Under A Two-Tier Frontier Model1," Review of Socio - Economic Perspectives 201819, Reviewsep.
    26. Shusen Zhu & Hui Sun & Beibei Zhang & Zedong Yang & Xuechao Xia, 2023. "Bilateral Effects of ESG Responsibility Fulfillment of Industrial Companies on Green Innovation," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    27. Hu, Zhiqiang & Pei, Kaibing, 2020. "Bi-directional R&D spillovers and operating performance: A two-tier stochastic frontier model," Economics Letters, Elsevier, vol. 195(C).
    28. Dibyendu Maiti & Chiranjib Neogi, 2020. "Endogeneity Corrected Stochastic Frontier with Market Imperfections," Working papers 313, Centre for Development Economics, Delhi School of Economics.
    29. Atul Dar, 2014. "The Impact of Imperfect Information on the Wages of Native-Born and Immigrant Workers: Evidence from the 2006 Canadian Census," Proceedings of Economics and Finance Conferences 0401532, International Institute of Social and Economic Sciences.
    30. Li, Feiyang & Lin, Ziyue & Huang, Liangxiong & Yang, Caiting, 2022. "Environmental regulation and global value chain division position：Analysis based on global transnational data," Energy Policy, Elsevier, vol. 168(C).
    31. 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.

  73. Robert W. Paterson & Kevin J. Boyle & Christopher F. Parmeter & James E. Neumann & Paul De Civita, 2008. "Heterogeneity in preferences for smoking cessation," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1363-1377, December.

    Cited by:

    1. Joachim Marti & Jody Sindelar, 2015. "Smaller Cigarette Pack as a Commitment to Smoke Less? Insights from Behavioral Economics," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-14, September.
    2. Joachim Marti, 2012. "Assessing preferences for improved smoking cessation medications: a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 533-548, October.
    3. Ida, Takanori & Goto, Rei & Takahashi, Yuko & Nishimura, Shuzo, 2011. "Can economic-psychological parameters predict successful smoking cessation?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(3), pages 285-295, May.
    4. Michael R. Richards & Joachim Marti & Johanna Catherine Maclean & Jason Fletcher & Donald Kenkel, 2017. "Tobacco Control, Medicaid Coverage, and the Demand for Smoking Cessation Drugs," American Journal of Health Economics, MIT Press, vol. 3(4), pages 528-549, Fall.
    5. Johanna Catherine Maclean & Michael F. Pesko & Steven C. Hill, 2017. "The Effect of Insurance Expansions on Smoking Cessation Medication Prescriptions: Evidence from ACA Medicaid Expansions," NBER Working Papers 23450, National Bureau of Economic Research, Inc.
    6. Marti, Joachim & Buckell, John & Maclean, J. Catherine & Sindelar, Jody L., 2017. "To 'Vape' or Smoke? A Discrete Choice Experiment among Adult Smokers," IZA Discussion Papers 10490, Institute of Labor Economics (IZA).
    7. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    8. Erik Nesson, 2012. "The Distributional Effects of Tobacco Control Policies On Adult Smoking Behavior," Working Papers 201207, Ball State University, Department of Economics, revised Jun 2012.
    9. David A. Katz & Kenda R. Stewart & Monica Paez & Mark W. Weg & Kathleen M. Grant & Christine Hamlin & Gary Gaeth, 2018. "Development of a Discrete Choice Experiment (DCE) Questionnaire to Understand Veterans’ Preferences for Tobacco Treatment in Primary Care," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(6), pages 649-663, December.
    10. Erik Nesson, 2017. "Heterogeneity in Smokers' Responses to Tobacco Control Policies," Health Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 206-225, February.

  74. Parmeter, Christopher F., 2008. "The effect of measurement error on the estimated shape of the world distribution of income," Economics Letters, Elsevier, vol. 100(3), pages 373-376, September.

    Cited by:

    1. Tim Kane, 2016. "Accelerating Convergence in the World Income Distribution," Economics Working Papers 16102, Hoover Institution, Stanford University.
    2. Henderson Daniel J. & Parmeter Christopher F., 2017. "Root-n Consistent Kernel Density Estimation in Practice," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-10, January.

  75. Daniel J. Henderson & Christopher F. Parmeter & R. Robert Russell, 2008. "Modes, weighted modes, and calibrated modes: evidence of clustering using modality tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 607-638.

    Cited by:

    1. Md. Rabiul Islam, 2010. "Quality-adjusted Human Capital and Productivity Growth," Monash Economics Working Papers 48-10, Monash University, Department of Economics.
    2. Nalan Basturk & Jamie Cross & Peter de Knijff & Lennart Hoogerheide & Paul Labonne & Herman K van Dijk, 2023. "BayesMultiMode: Bayesian Mode Inference in R," Tinbergen Institute Discussion Papers 23-041/III, Tinbergen Institute.
    3. Alberto Cavallo & Roberto Rigobon, 2011. "The Distribution of the Size of Price Changes," NBER Working Papers 16760, National Bureau of Economic Research, Inc.
    4. Juessen Falko, 2005. "A distribution dynamics approach to regional GDP convergence in reunified Germany," Urban/Regional 0506008, University Library of Munich, Germany.
    5. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2020. "Deep and Proximate Determinants of the World Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 677-710, September.
    6. Defever, F. & Riaño, A., 2017. "Twin Peaks," Working Papers 17/02, Department of Economics, City University London.
    7. Garance Genicot & Debraj Ray, 2014. "Aspirations and Inequality," NBER Working Papers 19976, National Bureau of Economic Research, Inc.
    8. McAdam, Peter & Christopoulos, Dimitris, 2015. "Efficiency, Inefficiency and the MENA Frontier," Working Paper Series 1757, European Central Bank.
    9. Daniel J. Henderson, 2010. "A test for multimodality of regression derivatives with application to nonparametric growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 458-480.
    10. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2013. "On the Determinants of Distribution Dynamics," Discussion Papers 2013/165, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    11. Walheer, Barnabé, 2016. "Growth and convergence of the OECD countries: A multi-sector production-frontier approach," European Journal of Operational Research, Elsevier, vol. 252(2), pages 665-675.
    12. 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.
    13. Suren Basov & Svetlana Danilkina & David Prentice, 2008. "When does Variety increase with Quality?," Working Papers 2008.04, School of Economics, La Trobe University.
    14. Khan, Haider & Schettino, Francesco & Gabriele, Alberto, 2017. "Polarization and the Middle Class in China: a Non-Parametric Evaluation Using CHNS and CHIP Data," MPRA Paper 85555, University Library of Munich, Germany.
    15. Aparna Lolayekar & Pranab Mukhopadhyay, 2017. "Growth Convergence and Regional Inequality in India (1981–2012)," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(2), pages 307-328, June.
    16. Johnson, Paul & Papageorgiou, Chris, 2018. "What Remains of Cross-Country Convergence?," MPRA Paper 89355, University Library of Munich, Germany.
    17. Luca Fontanelli, 2023. "Theories of Market Selection: A Survey," GREDEG Working Papers 2023-08, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    18. 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.
    19. Shahram Amini & Michele Battisti & Christopher F. Parmeter, 2011. "Decomposing The Conditional Variance of Cross-Country Output," Working Papers 2011-18, University of Miami, Department of Economics.
    20. Barnabé Walheer, 2016. "Multi-Sector Nonparametric Production-Frontier Analysis of the Economic Growth and the Convergence of the European Countries," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 498-524, October.
    21. Walheer, Barnabé, 2018. "Labour productivity growth and energy in Europe: A production-frontier approach," Energy, Elsevier, vol. 152(C), pages 129-143.
    22. Giovanni Dosi & Andrea Roventini, 2024. "Evolutionary Growth Theory," LEM Papers Series 2024/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    23. Răileanu-Szeles, Monica & Albu, Lucian, 2015. "Nonlinearities and divergences in the process of European financial integration," Economic Modelling, Elsevier, vol. 46(C), pages 416-425.
    24. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2017. "The Productivity of Nations," Working Papers in Economics & Finance 2017-05, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    25. Carlos Ordás Criado & Jean-Marie Grether, 2010. "Convergence in per capita CO2 emissions: a robust distributional approach," CEPE Working paper series 10-70, CEPE Center for Energy Policy and Economics, ETH Zurich.
    26. Clementi, F. & Schettino, F., 2013. "Income polarization in Brazil, 2001-2011: A distributional analysis using PNAD data," 2013 Second Congress, June 6-7, 2013, Parma, Italy 149891, Italian Association of Agricultural and Applied Economics (AIEAA).
    27. F. Clementi & A. L. Dabalen & V. Molini & F. Schettino, 2017. "When the Centre Cannot Hold: Patterns of Polarization in Nigeria," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 608-632, December.
    28. Henderson, Daniel J. & Tochkov, Kiril & Badunenko, Oleg, 2007. "A drive up the capital coast? Contributions to post-reform growth across Chinese provinces," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 569-594, September.
    29. Gordon Anderson & Oliver Linton & Teng Leo, 2012. "A polarization-cohesion perspective on cross-country convergence," Journal of Economic Growth, Springer, vol. 17(1), pages 49-69, March.
    30. Eder, Andreas & Koller, Wolfgang & Mahlberg, Bernhard, 2022. "The contribution of industrial robots to labor productivity growth and economic convergence: A production frontier approach," MPRA Paper 113126, University Library of Munich, Germany.
    31. Oleg Badunenko & Daniel Henderson & R. Russell, 2013. "Polarization of the worldwide distribution of productivity," Journal of Productivity Analysis, Springer, vol. 40(2), pages 153-171, October.
    32. Henderson Daniel J. & Parmeter Christopher F., 2017. "Root-n Consistent Kernel Density Estimation in Practice," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-10, January.
    33. 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.
    34. Kindberg-Hanlon,Gene & Okou,Cedric Iltis Finafa, 2020. "Productivity Convergence : Is Anyone Catching Up?," Policy Research Working Paper Series 9378, The World Bank.

  76. Daniel J. Henderson & Christopher F. Parmeter & Subal C. Kumbhakar, 2007. "Nonparametric estimation of a hedonic price function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 695-699.

    Cited by:

    1. Fritsch, Markus & Haupt, Harry & Ng, Pin T., 2016. "Urban house price surfaces near a World Heritage Site: Modeling conditional price and spatial heterogeneity," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 260-275.
    2. Gaetano Lisi, 2013. "On the Functional Form of the Hedonic Price Function: A Matching-theoretic Model and Empirical Evidence," International Real Estate Review, Global Social Science Institute, vol. 16(2), pages 189-207.
    3. Yoo, James & Simonit, Silvio & Connors, John P. & Maliszewski, Paul J. & Kinzig, Ann P. & Perrings, Charles, 2013. "The value of agricultural water rights in agricultural properties in the path of development," Ecological Economics, Elsevier, vol. 91(C), pages 57-68.
    4. Teuber, Ramona, 2010. "Estimating the Demand for Sensory Quality – Theoretical Considerations and an Empirical Application to Specialty Coffee," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 59(03), pages 1-14, September.
    5. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2013. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regression," LIDAM Discussion Papers ISBA 2013025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    6. Lin, Wei & Cai, Zongwu & Li, Zheng & Su, Li, 2015. "Optimal smoothing in nonparametric conditional quantile derivative function estimation," Journal of Econometrics, Elsevier, vol. 188(2), pages 502-513.
    7. Malikov, Emir & Sun, Yiguo, 2017. "Semiparametric Estimation and Testing of Smooth Coefficient Spatial Autoregressive Models," MPRA Paper 77253, University Library of Munich, Germany.
    8. Henderson, Daniel J. & Li, Qi & Parmeter, Christopher F. & Yao, Shuang, 2015. "Gradient-based smoothing parameter selection for nonparametric regression estimation," Journal of Econometrics, Elsevier, vol. 184(2), pages 233-241.
    9. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2021. "Real estate listings and their usefulness for hedonic regressions," Empirical Economics, Springer, vol. 61(6), pages 3239-3269, December.
    10. Christopher F. Parmeter & Jaren C. Pope, 2012. "Quasi-Experiments and Hedonic Property Value Methods," Working Papers 2012-7, University of Miami, Department of Economics.
    11. Steve Gibbons & Susana Mourato & Guilherme Resende, 2011. "The Amenity Value of English Nature: A Hedonic Price Approach," SERC Discussion Papers 0074, Centre for Economic Performance, LSE.
    12. Hyung-Gun Kim & Kwong-Chin Hung & Sung Park, 2015. "Determinants of Housing Prices in Hong Kong: A Box-Cox Quantile Regression Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 50(2), pages 270-287, February.
    13. Carlos Felipe Balcázar & Lidia Ceriani & Sergio Olivieri & Marco Ranzani, 2017. "Rent‐Imputation for Welfare Measurement: A Review of Methodologies and Empirical Findings," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 881-898, December.
    14. Abbott, Joshua K. & Allen Klaiber, H., 2013. "The value of water as an urban club good: A matching approach to community-provided lakes," Journal of Environmental Economics and Management, Elsevier, vol. 65(2), pages 208-224.
    15. Sumit Agarwal & Yanying Chen & Jing Li & Yi Jin Tan, 2021. "Hedonic Price of Housing Space," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(2), pages 574-609, June.
    16. Wolfgang Brunauer & Stefan Lang & Peter Wechselberger & Sven Bienert, 2008. "Additive Hedonic Regression Models with Spatial Scaling Factors: An Application for Rents in Vienna," Working Papers 2008-17, Faculty of Economics and Statistics, Universität Innsbruck.
    17. Christophe Bontemps & Michel Simioni & Yves Surry, 2008. "Semiparametric hedonic price models: assessing the effects of agricultural nonpoint source pollution," Post-Print hal-02661292, HAL.
    18. Dachary-Bernard, Jeanne & Rambonilaza, Tina & Lemarié-Boutry, Marie, 2014. "The response of land markets to flood protection and flood experience: a hedonic price modeling on the Gironde estuary (France)," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 169761, Agricultural Economics Society.
    19. Li, Degui & Simar, Léopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 424-444.
    20. Fezzi, Carlo & Bateman, Ian J., 2013. "The Impact of Climate Change on Agriculture: Nonlinear Effects and Aggregation Bias in Ricardian Models of Farm Land Values," Climate Change and Sustainable Development 162377, Fondazione Eni Enrico Mattei (FEEM).
    21. Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2008. "Hedonic Price Functions: Guidance On Empirical Specification," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6555, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    22. Gaetano Lisi, 2019. "Hedonic pricing models and residual house price volatility," Letters in Spatial and Resource Sciences, Springer, vol. 12(2), pages 133-142, August.
    23. Jeanne Dachary-Bernard & Frédéric Gaschet & Sandrine Lyser & Guillaume Pouyanne & Stéphane Virol, 2011. "L'impact de la littoralisation sur les marchés fonciers : une approche comparative des côtes basque et charentaise," Post-Print hal-00688634, HAL.
    24. Lisi, Gaetano, 2012. "On the theoretical derivation of a functional form for the hedonic price function," MPRA Paper 37066, University Library of Munich, Germany.
    25. Jeffrey S. Racine & Christopher F. Parmeter, 2012. "Data-Driven Model Evaluation: A Test for Revealed Performance," Department of Economics Working Papers 2012-13, McMaster University.
    26. Vijverberg, Wim P. & Hasebe, Takuya, 2015. "GTL Regression: A Linear Model with Skewed and Thick-Tailed Disturbances," IZA Discussion Papers 8898, Institute of Labor Economics (IZA).
    27. Alan T. K. Wan & Shangyu Xie & Yong Zhou, "undated". "A varying coefficient approach to estimating hedonic housing price functions and their quantiles," GRU Working Paper Series GRU_2016_003, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    28. Harry Haupt & Joachim Schnurbus & Rolf Tschernig, 2010. "On nonparametric estimation of a hedonic price function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 894-901.
    29. Löchl, Michael & Axhausen, Kay W., 2010. "Modelling hedonic residential rents for land use and transport simulation while considering spatial effects," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(2), pages 39-63.
    30. Delgado, Michael S. & Harriger, Jessica L. & Khanna, Neha, 2015. "The value of environmental status signaling," Ecological Economics, Elsevier, vol. 111(C), pages 1-11.
    31. Simlai, Prodosh, 2014. "Estimation of variance of housing prices using spatial conditional heteroskedasticity (SARCH) model with an application to Boston housing price data," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 17-30.
    32. Christian Almer & Stefan Boes & Stephan Nüesch, 2017. "Adjustments in the housing market after an environmental shock: evidence from a large-scale change in aircraft noise exposure," Oxford Economic Papers, Oxford University Press, vol. 69(4), pages 918-938.
    33. Mauro Iacobini & Gaetano Lisi, 2016. "Prezzi edonici delle caratteristiche abitative e analisi di regressione multipla: suggerimenti pratici per la stima," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2016(2), pages 5-42.
    34. W. Brunauer & S. Lang & P. Wechselberger & S. Bienert, 2010. "Additive Hedonic Regression Models with Spatial Scaling Factors: An Application for Rents in Vienna," The Journal of Real Estate Finance and Economics, Springer, vol. 41(4), pages 390-411, November.
    35. Matthew Gnagey & Therese Grijalva, 2018. "The impact of trails on property values: a spatial analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 73-97, January.
    36. Delgado, Michael S. & Guilfoos, Todd & Boslett, Andrew, 2016. "The cost of unconventional gas extraction: A hedonic analysis," Resource and Energy Economics, Elsevier, vol. 46(C), pages 1-22.
    37. Olayiwola Oladiran & Ajayi Saheed & Sunmoni Adesola, 2021. "What Property Attributes are Important to UK University Students in their Online Accommodation Search?," ERES eres2021_196, European Real Estate Society (ERES).
    38. Rajapaksa, Darshana & Zhu, Min & Lee, Boon & Hoang, Viet-Ngu & Wilson, Clevo & Managi, Shunsuke, 2017. "The impact of flood dynamics on property values," Land Use Policy, Elsevier, vol. 69(C), pages 317-325.
    39. Gaetano Lisi & Mauro Iacobini, 2013. "Real estate appraisals, hedonic models and the measurement of house price dispersion," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 56(1), pages 61-73.
    40. Christian Almer & Stefan Boes & Stephan Nuesch, 2013. "How do Housing Prices Adjust After an Environmental Shock? Evidence from a State-Mandated Change in Aircraft Noise Exposure," Department of Economics Working Papers 11/12, University of Bath, Department of Economics.
    41. Yu, Peiyong, 2015. "The Effect of Eminent Domain on Private and Mixed Development on Property Values," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 45(2).
    42. Stéphane Virol & Guillaume Pouyanne & Sandrine Lyser & Frédéric Gaschet & Jeanne Dachary-Bernard, 2011. "L’impact de la littoralisation sur les marchés fonciers. Une approche comparative des côtes basque et charentaise," Économie et Statistique, Programme National Persée, vol. 444(1), pages 127-154.
    43. Quan Gan & Robert J. Hill, 2008. "A New Perspective on the Relationship Between House Prices and Income," Discussion Papers 2008-13, School of Economics, The University of New South Wales.
    44. Ong C. & Witte K. de, 2013. "Ethnic segregation and heterogeneous preferences of homeowners for housing and neighbourhood characteristics : evidence from the Netherlands," MERIT Working Papers 2013-061, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

Chapters

  1. Christopher F. Parmeter & Valentina Hartarska, 2022. "Performance of Microfinance Institutions: A Review," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 33, pages 1309-1337, Springer.

    Cited by:

    1. Tristan Caballero-Montes, 2023. "Integrating market conditions into regulatory decisions on microfinance interest rates: does competition matter?," Annals of Finance, Springer, vol. 19(2), pages 201-232, June.

  2. 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.
    See citations under working paper version above.
  3. Daniel J. Henderson & Christopher F. Parmeter, 2016. "Model Averaging Over Nonparametric Estimators," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 539-560, Emerald Group Publishing Limited.

    Cited by:

    1. Yongmiao Hong & Tae-Hwy Lee & Yuying Sun & Shouyang Wang & Xinyu Zhang, 2017. "Time-varying Model Averaging," Working Papers 202001, University of California at Riverside, Department of Economics.
    2. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    3. Liu, Chu-An, 2018. "Averaging estimators for kernel regressions," Economics Letters, Elsevier, vol. 171(C), pages 102-105.

  4. Christopher F. Parmeter & Jaren C. Pope, 2013. "Quasi-experiments and hedonic property value methods," Chapters, in: John A. List & Michael K. Price (ed.), Handbook on Experimental Economics and the Environment, chapter 1, pages 3-66, Edward Elgar Publishing.
    See citations under working paper version above.

Books

  1. Christopher F. Parmeter & Robin C. Sickles (ed.), 2021. "Advances in Efficiency and Productivity Analysis," Springer Proceedings in Business and Economics, Springer, number 978-3-030-47106-4, September.

    Cited by:

    1. Hung-pin Lai, 2021. "Maximum simulated likelihood estimation of the seemingly unrelated stochastic frontier regressions," Empirical Economics, Springer, vol. 60(6), pages 2943-2968, June.
    2. Nicky Rogge & Alena Kolyaseva, 2022. "Measuring and comparing World Bank regions’ ‘ease of doing business’ opportunity sets," Journal of Productivity Analysis, Springer, vol. 57(2), pages 131-155, April.
    3. Schmidt, Rouven & Kneib, Thomas, 2023. "Multivariate distributional stochastic frontier models," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).
    4. Caitlin T. O’Loughlin & Paul W. Wilson, 2021. "Benchmarking the performance of US Municipalities," Empirical Economics, Springer, vol. 60(6), pages 2665-2700, June.
    5. 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.

  2. Henderson,Daniel J. & Parmeter,Christopher F., 2015. "Applied Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521279680.

    Cited by:

    1. Bernstein, David H. & Parmeter, Christopher F., 2019. "Returns to scale in electricity generation: Replicated and revisited," Energy Economics, Elsevier, vol. 82(C), pages 4-15.
    2. Dewitte, Ruben & Dumont, Michel & Merlevede, Bruno & Rayp, Glenn & Verschelde, Marijn, 2020. "Firm-Heterogeneous Biased Technological Change: A nonparametric approach under endogeneity," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1172-1182.
    3. Uddin, Md. Main & Mishra, Vinod & Smyth, Russell, 2020. "Income inequality and CO2 emissions in the G7, 1870–2014: Evidence from non-parametric modelling," Energy Economics, Elsevier, vol. 88(C).
    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. David H. Bernstein & Christopher F. Parmeter, 2017. "Returns to Scale in Electricity Generation: Revisited and Replicated," Working Papers 2017-08, University of Miami, Department of Economics.
    6. Alexandra-Anca Purcel, 2020. "New insights into the environmental Kuznets curve hypothesis in developing and transition economies: a literature survey," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(4), pages 585-631, October.
    7. Almeida, Alexandre N. & Bravo-Ureta, Boris E., 2019. "Agricultural productivity, shadow wages and off-farm labor decisions in Nicaragua," Economic Systems, Elsevier, vol. 43(1), pages 99-110.
    8. 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).
    9. Pannenberg, Markus & Friehe, Tim, 2019. "Does it really get better with age? Life-cycle patterns of confidence in Germany," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203497, Verein für Socialpolitik / German Economic Association.
    10. Effiong, Ekpeno L. & Asuquo, Emmanuel E., 2016. "Migrants' Remittances, Governance and Heterogeneity," MPRA Paper 74753, University Library of Munich, Germany.
    11. Teresa D. Harrison & Daniel J. Henderson & Deniz Ozabaci & Christopher A. Laincz, 2023. "Does one size fit all in the non‐profit donation production function?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 373-402, April.
    12. Battisti, Michele & Gatto, Massimo Del & Parmeter, Christopher F., 2022. "Skill-biased technical change and labor market inefficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    13. Fernando Rios-Avila, 2020. "Smooth varying-coefficient models in Stata," Stata Journal, StataCorp LP, vol. 20(3), pages 647-679, September.
    14. Michele Battisti & Massimo Del Gatto & Christopher F. Parmeter, 2018. "Labor productivity growth: disentangling technology and capital accumulation," Journal of Economic Growth, Springer, vol. 23(1), pages 111-143, March.
    15. Töpfer, Marina, 2017. "Detailed RIF decomposition with selection: The gender pay gap in Italy," Hohenheim Discussion Papers in Business, Economics and Social Sciences 26-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    16. Xue, Melanie Meng, 2018. "High-Value Work and the Rise of Women: The Cotton Revolution and Gender Equality in China," MPRA Paper 91100, University Library of Munich, Germany.
    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. Christopher F. Parmeter & Jeffrey S. Racine, 2018. "Nonparametric Estimation and Inference for Panel Data Models," Department of Economics Working Papers 2018-02, McMaster University.
    19. Henderson, Daniel J. & Souto, Anne-Charlotte, 2018. "An Introduction to Nonparametric Regression for Labor Economists," IZA Discussion Papers 11914, Institute of Labor Economics (IZA).
    20. 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.
    21. Setareh Ranjbar & Stefan Sperlich, 2020. "A Note on Empirical Studies of Life-Satisfaction: Unhappy with Semiparametrics?," Journal of Happiness Studies, Springer, vol. 21(6), pages 2193-2212, August.
    22. Friehe, Tim & Pannenberg, Markus, 2019. "Overconfidence over the lifespan: Evidence from Germany," Journal of Economic Psychology, Elsevier, vol. 74(C).
    23. Spierdijk, Laura & Shaffer, Sherrill & Considine, Tim, 2017. "How do banks adjust to changing input prices? A dynamic analysis of U.S. commercial banks before and after the crisis," Journal of Banking & Finance, Elsevier, vol. 85(C), pages 1-14.
    24. Tae-Hwy Lee & Bai Huang & Aman Ullah, 2018. "Combined Estimation of Semiparametric Panel Data Models," Working Papers 201915, University of California at Riverside, Department of Economics.
    25. Mastromarco, Camilla & Simar, Léopold & Zelenyuk, Valentin, 2021. "Predicting recessions with a frontier measure of output gap: an application to Italian economy," LIDAM Reprints ISBA 2021010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    26. Mendez-Guerra, Carlos, 2018. "¿Convergencia beta, sigma y distribucional en desarrollo humano? Evidencia de las regiones metropolitanas de Bolivia," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 30, pages 88-117, November.
    27. Obbey Elamin & Len Gill & Martyn Andrews, 2020. "Insights from kernel conditional-probability estimates into female labour force participation decision in the UK," Empirical Economics, Springer, vol. 58(6), pages 2981-3006, June.
    28. Camilla Mastromarco & Léopold Simar & Valentin Zelenyuk, 2019. "Predicting Recessions: A New Measure of Output Gap as Predictor," CEPA Working Papers Series WP112019, School of Economics, University of Queensland, Australia.
    29. Nunes Almeida, Alexandre & Bravo-Ureta, Boris E., 2022. "Farm size and productivity in Nicaragua: Parametric and nonparametric analyses for panel data," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 22(01), June.
    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. Henderson, Daniel J. & Houtenville, Andrew & Wang, Le, 2017. "The Distribution of Returns to Education for People with Disabilities," IZA Discussion Papers 10747, Institute of Labor Economics (IZA).
    32. 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.
    33. Bruno Wichmann & Roberta Wichmann, 2020. "Nonparametric estimation of a primary care production function in urban Brazil," Health Economics Review, Springer, vol. 10(1), pages 1-10, December.
    34. Justin Yifu Lin & Célestin Monga & Samuel Standaert, 2017. "The Inclusive Substainable Transformation Index," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 17/932, Ghent University, Faculty of Economics and Business Administration.
    35. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo, 2018. "OECD: One or Many? Ranking Countries with a Composite Well-Being Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 847-869, October.
    36. Peiró-Palomino, Jesús & Picazo-Tadeo, Andrés J. & Tortosa-Ausina, Emili, 2021. "Measuring well-being in Colombian departments. The role of geography and demography," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    37. Ozabaci, Deniz & Henderson, Daniel J., 2014. "Additive Kernel Estimates of Returns to Schooling," IZA Discussion Papers 8736, Institute of Labor Economics (IZA).
    38. Peter R. Herman, 2022. "Modeling complex network patterns in international trade," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(1), pages 127-179, February.
    39. Park, Byeong U. & Simar, Leopold & Zelenyuk, Valentin, 2018. "Forecasting of Recessions via Dynamic Probit for Time Series: Replication and Extension of Kauppi and Saikkonen (2008)," LIDAM Discussion Papers ISBA 2018004, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    40. Dustin Chambers & Shatakshee Dhongde, 2017. "Are countries becoming equally unequal?," Empirical Economics, Springer, vol. 53(4), pages 1323-1348, December.
    41. Henderson, Daniel J. & Parmeter, Christopher F., 2015. "A consistent bootstrap procedure for nonparametric symmetry tests," Economics Letters, Elsevier, vol. 131(C), pages 78-82.
    42. Walter, Paul & Weimer, Katja, 2018. "Estimating poverty and inequality indicators using interval censored income data from the German microcensus," Discussion Papers 2018/10, Free University Berlin, School of Business & Economics.
    43. Blank, Sven & Egger, Peter H., 2021. "Melting constants in trade gravity’s rainbow," Economics Letters, Elsevier, vol. 201(C).
    44. 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.
    45. Alexandra Soberon & Irene D’Hers, 2020. "The Environmental Kuznets Curve: A Semiparametric Approach with Cross-Sectional Dependence," JRFM, MDPI, vol. 13(11), pages 1-23, November.
    46. 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.
    47. Mendez-Guerra, Carlos, 2018. "Beta, Sigma and Distributional Convergence in Human Development? Evidence from the Metropolitan Regions of Bolivia," MPRA Paper 87627, University Library of Munich, Germany.
    48. Mariam Camarero & Jesús Peiró-Palomino & Cecilio Tamarit, 2018. "External imbalances and growth," Working Papers 1808, Department of Applied Economics II, Universidad de Valencia.
    49. Hasan Engin Duran & Andrzej Cieślik, 2021. "The distribution of city sizes in Turkey: A failure of Zipf’s law due to concavity," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(5), pages 1702-1719, October.
    50. 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.
    51. Justin Lin & Monga Célestin & Standaert Samuel, 2017. "Working Paper 257 - The Inclusive and Sustainable Transformation Index," Working Paper Series 2368, African Development Bank.
    52. Gustavo Canavire-Bacarreza & Luis Castro Peñarrieta, 2021. "Can licensing induce productivity? Exploring the IPR effect," Empirical Economics, Springer, vol. 61(2), pages 549-586, August.
    53. Byeong U. Park & Leopold Simar & Valentin Zelenyuk, 2017. "Revisiting Forecasting of Recessions via Dynamic Probit for Time Series by Kauppi and Saikkonen (2008)," CEPA Working Papers Series WP032017, School of Economics, University of Queensland, Australia.
    54. Sefa Awaworyi Churchill & Bin Peng & Russell Smyth & Quanda Zhang, 2022. "R&D intensity and income inequality in the G7: 1870–2016," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(3), pages 263-282, July.
    55. Girard, Alexandre & Gnabo, Jean-Yves & Londoño van Rutten, Rodrigo, 2023. "Firm performance and the crowd effect in lobbying competition," Finance Research Letters, Elsevier, vol. 53(C).
    56. Nuno Baetas da Silva & João Sousa Andrade, 2016. "The relationship between social transfers and poverty reduction: A nonparametric approach for the EU-27," GEMF Working Papers 2016-09, GEMF, Faculty of Economics, University of Coimbra.
    57. Michler, Jeffrey D., 2020. "Agriculture in the process of development: A micro-perspective," World Development, Elsevier, vol. 129(C).
    58. Töpfer, Marina, 2017. "Detailed RIF Decomposition with Selection - The Gender Pay Gap in Italy," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168422, Verein für Socialpolitik / German Economic Association.
    59. Millie Yi Mao & Aman Ullah, 2019. "Information Theoretic Estimation of Econometric Functions," Working Papers 201923, University of California at Riverside, Department of Economics.
    60. Wichmann, Bruno & Wichmann, Roberta, 2022. "COVID-19 and Indigenous health in the Brazilian Amazon," Economic Modelling, Elsevier, vol. 115(C).
    61. Giménez, Víctor & Prieto, William & Prior, Diego & Tortosa-Ausina, Emili, 2019. "Evaluation of efficiency in Colombian hospitals: An analysis for the post-reform period," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 20-35.
    62. Qingyan Tong & Chi-Yang Chu & Dong Zhou & Yulei Feng, 2021. "Does Internet Connectedness Disconnect Marriage? A Micro Empirical Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(1), pages 143-176, November.
    63. Nadine McCloud & Christopher F. Parmeter, 2017. "Calculating Degrees of Freedom in Multivariate Local Polynomial Regression," Working Papers 2017-14, University of Miami, Department of Economics.
    64. Chi‐Yang Chu & Mingming Jiang, 2021. "Financial depth, income inequality, and economic transition," Southern Economic Journal, John Wiley & Sons, vol. 88(1), pages 199-244, July.
    65. McCloud, Nadine & Parmeter, Christopher F., 2020. "Determining the Number of Effective Parameters in Kernel Density Estimation," Computational Statistics & Data Analysis, Elsevier, vol. 143(C).
    66. Cui, Qiurong & Xu, Yuqing & Zhang, Zhengjun & Chan, Vincent, 2021. "Max-linear regression models with regularization," Journal of Econometrics, Elsevier, vol. 222(1), pages 579-600.
    67. Daniel J. Henderson & Léopold Simar & Le Wang, 2017. "The three s of public schools: irrelevant inputs, insufficient resources and inefficiency," Applied Economics, Taylor & Francis Journals, vol. 49(12), pages 1164-1184, March.
    68. Wilson, Paul W., 2018. "Dimension reduction in nonparametric models of production," European Journal of Operational Research, Elsevier, vol. 267(1), pages 349-367.
    69. G. Ardizzi & F. Crudu & C. Petraglia, 2015. "The Impact of Electronic Payments on Bank Cost Efficiency: Nonparametric Evidence," Working Paper CRENoS 201517, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    70. Almeida, Alexandre N. & Santos, Augusto S. & Halmenschlager, Vinícius & Gilio, Leandro & Diniz, Tiago B. & Ferreira, Alexandre A. S., 2016. "Flexible-fuel automobiles and CO2 emissions in Brazil: a semiparametric analysis using panel data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235733, Agricultural and Applied Economics Association.
    71. 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).
    72. Paul W. Wilson, 2022. "Turbulent Years for U.S. Banks: 2000-20," Review, Federal Reserve Bank of St. Louis, vol. 104(3), pages 189-209, July.
    73. Nicolas Gavoille & Marijn Verschelde, 2017. "Electoral competition and political selection: An analysis of the activity of French deputies, 1958–2012," Post-Print hal-01745350, HAL.
    74. Man Jin & Shunan Zhao & Subal C. Kumbhakar, 2020. "Information asymmetry and leverage adjustments: a semiparametric varying‐coefficient approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 581-605, February.
    75. Rafael Boix‐Domenech & Jesús Peiró‐Palomino & Pau Rausell‐Köster, 2021. "Creative industries and productivity in the European regions. Is there a Mediterranean effect?," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(5), pages 1546-1564, October.
    76. Chi-Yang Chu & Daniel J. Henderson & Christopher F. Parmeter, 2015. "Plug-in Bandwidth Selection for Kernel Density Estimation with Discrete Data," Econometrics, MDPI, vol. 3(2), pages 1-16, March.
    77. Awaworyi Churchill, Sefa & Inekwe, John & Ivanovski, Kris, 2021. "R&D expenditure and energy consumption in OECD nations," Energy Economics, Elsevier, vol. 100(C).
    78. Mendez-Guerra, Carlos, 2019. "Environmental Efficiency and Regional Convergence Clusters in Japan: A Nonparametric Density Approach," MPRA Paper 92245, University Library of Munich, Germany.
    79. Camarero, Mariam & Peiró-Palomino, Jesús & Tamarit, Cecilio, 2019. "Growth in a time of external imbalances," Economic Modelling, Elsevier, vol. 79(C), pages 262-275.
    80. Apata Temidayo Gabriel, 2019. "Public spending mechanisms and gross domestic product (GDP) growth in the agricultural sector (1970–2016): Lessons for Nigeria from agricultural policy progressions in China," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 44(44), pages 57-72, June.
    81. Amini, Shahram & Battisti, Michele & Parmeter, Christopher F., 2017. "Decomposing changes in the conditional variance of GDP over time," Economic Modelling, Elsevier, vol. 61(C), pages 376-387.
    82. Taining Wang & Jinjing Tian, 2020. "Recasting the trade impact on labor share: a fixed-effect semiparametric estimation study," Empirical Economics, Springer, vol. 58(5), pages 2465-2511, May.
    83. Delgado, Michael S. & Guilfoos, Todd & Boslett, Andrew, 2016. "The cost of unconventional gas extraction: A hedonic analysis," Resource and Energy Economics, Elsevier, vol. 46(C), pages 1-22.
    84. Yashar Tarverdi, 2018. "Aspects of Governance and $$\hbox {CO}_2$$ CO 2 Emissions: A Non-linear Panel Data Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(1), pages 167-194, January.
    85. Wang, Shaoping & Li, Ang & Wen, Kuangyu & Wu, Ximing, 2020. "Robust kernels for kernel density estimation," Economics Letters, Elsevier, vol. 191(C).
    86. Daniel J. Henderson & Christopher F. Parmeter, 2015. "Single-Step Estimation of a Partially Linear Model," Working Papers 2015-01, University of Miami, Department of Economics.
    87. Fernando Rios-Avila, 2019. "A Semi-Parametric Approach to the Oaxaca-Blinder Decomposition with Continuous Group Variable and Self-Selection," Economics Working Paper Archive wp_930, Levy Economics Institute.
    88. Henderson Daniel J. & Parmeter Christopher F., 2017. "Root-n Consistent Kernel Density Estimation in Practice," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-10, January.
    89. 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.
    90. Ghazouani, Tarek, 2022. "Dynamic impact of globalization on renewable energy consumption: Non-parametric modelling evidence," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    91. Enrico De Monte, 2020. "Entry, Exit and Productivity: Evidence from French Manufacturing Firms," Working Papers of BETA 2020-07, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    92. Takayuki Toda & Ayako Wakano & Takahiro Hoshino, 2019. "Regression Discontinuity Design with Multiple Groups for Heterogeneous Causal Effect Estimation," Papers 1905.04443, arXiv.org.
    93. Mendez-Guerra, Carlos, 2017. "Heterogeneous Growth and Regional (Di)Convergence in Bolivia: A Distribution Dynamics Approach," MPRA Paper 81060, University Library of Munich, Germany.
    94. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo & Emili Tortosa-Ausina, 2020. "The Geography of Well-being in Colombia," Working Papers 2020/03, Economics Department, Universitat Jaume I, Castellón (Spain).
    95. Víctor Giménez & Claudio Thieme & Diego Prior & Emili Tortosa-Ausina, 2017. "An international comparison of educational systems: a temporal analysis in presence of bad outputs," Journal of Productivity Analysis, Springer, vol. 47(1), pages 83-101, February.
    96. 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.
    97. Das, Sonali & Racine, Jeffrey S., 2018. "Interactive nonparametric analysis of nonlinear systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 290-301.
    98. Wang, Taining & Henderson, Daniel J., 2022. "Estimation of a varying coefficient, fixed-effects Cobb–Douglas production function in levels," Economics Letters, Elsevier, vol. 213(C).
    99. Mustafa Koroglu, 2019. "Growth and Debt: An Endogenous Smooth Coefficient Approach," JRFM, MDPI, vol. 12(1), pages 1-22, February.
    100. Li, Yong & Zhang, Mingzhi & Zhang, Yonghui, 2022. "Sequential Bayesian bandwidth selection for multivariate kernel regression with applications," Economic Modelling, Elsevier, vol. 112(C).

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