Endogeneity in panel stochastic frontier models: an application to the Japanese cotton spinning industry
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DOI: 10.1080/00036846.2017.1363861
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References listed on IDEAS
- Serguey Braguinsky & Atsushi Ohyama & Tetsuji Okazaki & Chad Syverson, 2015.
"Acquisitions, Productivity, and Profitability: Evidence from the Japanese Cotton Spinning Industry,"
American Economic Review, American Economic Association, vol. 105(7), pages 2086-2119, July.
- Serguey Braguinsky & Atsushi Ohyama & Tetsuji Okazaki & Chad Syverson, 2014. "Acquisitions, Productivity, and Profitability: Evidence from the Japanese Cotton Spinning Industry," NBER Working Papers 19901, National Bureau of Economic Research, Inc.
- Serguey Braguinsky & Atsushi Ohyama & Tetsuji Okazaki & Chad Syverson, 2014. "Acquisitions, productivity, and profitability : Evidence from the Japanese cotton spinning industry," Working Paper Research 270, National Bank of Belgium.
- Tetsuji Okazaki & Chad Syverson & Atsushi Ohyama & Serguey Braguinsky, 2014. "Acquisitions, Productivity, and Profitability: Evidence from the Japanese Cotton Spinning Industry," 2014 Meeting Papers 177, Society for Economic Dynamics.
- Serguey Braguinsky & Atsushi Ohyama & Tetsuji Okazaki & Chad Syverson, 2014. "Acquisitions, Productivity, and Profitability: Evidence from the Japanese Cotton Spinning Industry," CIRJE F-Series CIRJE-F-945, CIRJE, Faculty of Economics, University of Tokyo.
- Tran, Kien C. & Tsionas, Efthymios G., 2013. "GMM estimation of stochastic frontier model with endogenous regressors," Economics Letters, Elsevier, vol. 118(1), pages 233-236.
- Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2016.
"Endogeneity in stochastic frontier models,"
Journal of Econometrics, Elsevier, vol. 190(2), pages 280-288.
- Amsler, Christine & Artem, Prokhorov & Peter, Schmidt, 2015. "Endogeneity in Stochastic Frontier Models," Working Papers 2015-01, University of Sydney Business School, Discipline of Business Analytics.
- Caroline M. Hoxby, 2000.
"Does Competition among Public Schools Benefit Students and Taxpayers?,"
American Economic Review, American Economic Association, vol. 90(5), pages 1209-1238, December.
- Caroline Minter Hoxby, 1994. "Does Competition Among Public Schools Benefit Students and Taxpayers?," NBER Working Papers 4979, National Bureau of Economic Research, Inc.
- Kutlu, Levent, 2010. "Battese-coelli estimator with endogenous regressors," Economics Letters, Elsevier, vol. 109(2), pages 79-81, November.
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