A metafrontier production function for a Bayesian frontier model: A cross-country comparison

References

• Aigner, D., C. A. K. Lovell, and P. Schmidt. 1977. “Formulation and Estimation of Stochastic Frontier Production Function Models.” Journal of Econometrics 6 (1):21–37. doi: 10.1016/0304-4076(77)90052-5.
   Google Scholar
• Amsler, C., C. J. O’Donnell, and P. Schmidt. 2017. “Stochastic Metafrontiers.” Econometric Reviews 36 (6–9):1007–20. doi: 10.1080/07474938.2017.1308345.
   Google Scholar
• Bardhan, P., and H. Lapan. 1973. “Localized Technical Progress and Transfer of Technology and Economic Development.” Journal of Economic Theory 6:585–95. doi: 10.1016/0022-0531(73)90079-3.
   Google Scholar
• Battese, G. E., and T. J. Coelli. 1992. “Frontier Production Functions, Technical Efficiency and Panel Data: With Application to Paddy Farmers in India.” Journal of Productivity Analysis 3 (1–2):153–69. doi: 10.1007/BF00158774.
   Google Scholar
• Battese, G. E., and D. S. P. Rao. 2002. “Technology Gap, Efficiency, and a Stochastic Metafrontier Function.” International Journal of Business and Economics 1 (2):87.
   Google Scholar
• Battese, G. E., D. S. P. Rao, and C. J. O’Donnell. 2004. “A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating under Different Technologies.” Journal of Productivity Analysis 21 (1):91–103. doi: 10.1023/B:PROD.0000012454.06094.29.
   Google Scholar
• Casu, B., A. Ferrari, and T. Zhao. 2013. “Regulatory Reform and Productivity Change in Indian Banking.” Review of Economics and Statistics 95 (3):1066–77. doi: 10.1162/REST_a_00298.
   Google Scholar
• Chen, Z., C. P. Barros, and M. R. Borges. 2015. “A Bayesian Stochastic Frontier Analysis of Chinese Fossil-Fuel Electricity Generation Companies.” Energy Economics 48:136–44. doi: 10.1016/j.eneco.2014.12.020.
   Google Scholar
• Dosi, G., S. Lechevalier, and A. Secchi. 2010. “Introduction: Interfirm Heterogeneity—Nature, Sources and Consequences for Industrial Dynamics.” Industrial and Corporate Change 19 (6):1867–90. doi: 10.1093/icc/dtq062.
   Google Scholar
• Fried, H. O., C. A. K. Lovell, and S.S. Schmidt. 2008. The Measurement of Productive Efficiency and Productivity Growth. Oxford: Oxford University Press.
   Google Scholar
• Galán, J. E., H. Veiga, and M. P. Wiper. 2015. “Dynamic Effects in Inefficiency: Evidence from the Colombian Banking Sector.” European Journal of Operational Research 240 (2):562–71. doi: 10.1016/j.ejor.2014.07.005.
   Google Scholar
• Griffin, J. E., and M. F. J. Steel. 2004. “Semiparametric Bayesian Inference for Stochastic Frontier Models.” Journal of Econometrics 123 (1):121–52. doi: 10.1016/j.jeconom.2003.11.001.
   Google Scholar
• Griffin, J. E., and M. F. J. Steel. 2007. “Bayesian Stochastic Frontier Analysis Using WinBUGS.” Journal of Productivity Analysis 27 (3):163–76. doi: 10.1007/s11123-007-0033-y.
   Google Scholar
• Halkos, G. E., and N. G. Tzeremes. 2011. “Modelling the Effect of National Culture on Multinational Banks’ Performance: A Conditional Robust Nonparametric Frontier Analysis.” Economic Modelling 28 (1–2):515–25. doi: 10.1016/j.econmod.2010.07.002.
   Google Scholar
• Hayami, Y. 1969. “Sources of Agricultural Productivity Gap Among Selected Countries.” American Journal of Agricultural Economics 51 (3):564–75. doi: 10.2307/1237909.
   Google Scholar
• Hayami, Y., and V. W. Ruttan. 1970. “Agricultural Productivity Differences among Countries.” The American Economic Review 60 (5):895–911.
   Google Scholar
• Hayami, Y., and V. W. Ruttan. 1971. Agricultural Development: An International Perspective. Baltimore, MD: The Johns Hopkins Press.
   Google Scholar
• Horn, R. A., and C. R. Johnson. 2012. Matrix Analysis. 2nd ed. Cambridge: Cambridge University Press.
   Google Scholar
• Huang, C. J., T. Huang, and N. Liu. 2014. “A New Approach to Estimating the Metafrontier Production Function Based on a Stochastic Frontier Framework.” Journal of Productivity Analysis 42 (3):241–54. doi: 10.1007/s11123-014-0402-2.
   Google Scholar
• King, R. G., and R. Levine. 1994. “Capital Fundamentalism, Economic Development, and Economic Growth.” In Carnegie-Rochester Conference Series on Public Policy, vol. 40, 259–92. Amsterdam: Elsevier. doi: 10.1016/0167-2231(94)90011-6.
   Google Scholar
• Kontolaimou, A., K. Kounetas, I. Mourtos, and K. Tsekouras. 2012. “Technology Gaps in European Banking: Put the Blame on Inputs or Outputs?” Economic Modelling 29 (5):1798–808. doi: 10.1016/j.econmod.2012.05.028.
   Google Scholar
• Koop, G., J. Osiewalski, and M. F. J. Steel. 1997. “Bayesian Efficiency Analysis through Individual Effects: Hospital Cost Frontiers.” Journal of Econometrics 76 (1–2):77–105. doi: 10.1016/0304-4076(95)01783-6.
   Google Scholar
• Kounetas, K., I. Mourtos, and K. Tsekouras. 2009. “Efficiency Decompositions for Heterogeneous Technologies.” European Journal of Operational Research 199 (1):209–18. doi: 10.1016/j.ejor.2008.11.015.
   Google Scholar
• Kumbhakar, S. C., and C. A. K. Lovell. 2000. Stochastic Frontier Analysis. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Meeusen, W., and J. van den Broeck. 1977. “Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error.” International Economic Review 18 (2):435–44. doi: 10.2307/2525757.
   Google Scholar
• Müller, A. 2001. “Stochastic Ordering of Multivariate Normal Distributions.” Annals of the Institute of Statistical Mathematics 53 (3):567–75. doi: 10.1023/A:1014629416504.
   Google Scholar
• Nelson, R. R. 2009. An Evolutionary Theory of Economic Change. Cambridge, MA: Harvard University Press.
   Google Scholar
• O’Donnell, C. J., D. S. P. Rao, and G. E. Battese. 2008. “Metafrontier Frameworks for the Study of Firm-Level Efficiencies and Technology Ratios.” Empirical Economics 34 (2):231–55. doi: 10.1007/s00181-007-0119-4.
   Google Scholar
• Reichstein, T., and A. Salter. 2006. “Investigating the Sources of Process Innovation among UK Manufacturing Firms.” Industrial and Corporate Change 15 (4):653–82. doi: 10.1093/icc/dtl014.
   Google Scholar
• Tabak, B. M., and P. L. Tecles. 2010. “Estimating a Bayesian Stochastic Frontier for the Indian Banking System.” International Journal of Production Economics 125 (1):96–110. doi: 10.1016/j.ijpe.2010.01.008.
   Google Scholar
• Tsekouras, K., N. Chatzistamoulou, and K. Kounetas. 2017. “Productive Performance, Technology Heterogeneity and Hierarchies: Who to Compare with Whom.” International Journal of Production Economics 193: 465–78. doi: 10.1016/j.ijpe.2017.08.010.
   Google Scholar
• Tsekouras, K., N. Chatzistamoulou, K. Kounetas, and D. C. Broadstock. 2016. “Spillovers, Path Dependence and the Productive Performance of European Transportation Sectors in the Presence of Technology Heterogeneity.” Technological Forecasting and Social Change 102:261–74. doi: 10.1016/j.techfore.2015.09.008.
   Google Scholar
• Tsionas, E. G. 2002. “Stochastic Frontier Models with Random Coefficients.” Journal of Applied Econometrics 17 (2):127–47. doi: 10.1002/jae.637.
   Google Scholar
• Van den Broeck, J., G. Koop, J. Osiewalski, and M. F. J. Steel. 1994. “Stochastic Frontier Models: A Bayesian Perspective.” Journal of Econometrics 61 (2):273–303.
   Google Scholar