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Semiparametric Approaches to Stochastic Panel Frontiers with Applications in the Banking Industry

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Author Info
Adams, Robert M
Berger, Allen N
Sickles, Robin C

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Abstract

This article introduces new modeling and estimation methods designed to help mitigate problems of endogeneity and misspecification. The authors use an output distance function to model the technology of a multioutput firm. They also use results from B. U. Park and L. Simar (1995) and B. U. Park, R. C. Sickles, and L. Simar (1998) on semiparametric efficient estimation of panel models to estimate multioutput stochastic distance frontiers for which the distribution of the effects and a subgroup of regressors is not specified. Furthermore, the authors introduce a new semiparametric method that makes minimal assumptions on the functional form of inputs in the distance function.

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Publisher Info
Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 17 (1999)
Issue (Month): 3 (July)
Pages: 349-58
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Handle: RePEc:bes:jnlbes:v:17:y:1999:i:3:p:349-58

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  1. Jim E. Griffin & Mark F.J. Steel, 2002. "Semiparametric Bayesian Inference for Stochastic Frontier Models," Econometrics 0209001, EconWPA, revised 18 Sep 2002. [Downloadable!]
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  2. Temel, Tugrul & Lucas, Andre, 2003. "Deepening the measurement of technical inefficiency in private farming in Georgia: locally parametric regression," Serie Research Memoranda 0007, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics. [Downloadable!]
  3. Kortelainen, Mika, 2008. "Estimation of semiparametric stochastic frontiers under shape constraints with application to pollution generating technologies," MPRA Paper 9257, University Library of Munich, Germany. [Downloadable!]
  4. Bo E. Honore & Arthur Lewbel, 1998. "Semiparametric Binary Choice Panel Data Models without Strictly Exogeneous Regressors," Boston College Working Papers in Economics 455, Boston College Department of Economics, revised 22 Sep 2001. [Downloadable!]
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  5. Gholamreza Hajargasht, 2004. "Some New Semiparametric Panel Stochastic Frontier Models," Econometric Society 2004 Australasian Meetings 127, Econometric Society. [Downloadable!]
  6. Gholamreza Hajargasht, 2003. "Semiparametric Estimation of Stochastic Frontiers A Bayesian Penalized Approach," CEPA Working Papers Series WP042003, School of Economics, University of Queensland, Australia. [Downloadable!]
  7. Byeong Park & Robin C. Sickles & Leopold Simar, 2000. "Semiparametric Efficient Estimation of AR(1) Panel Data Models," Econometric Society World Congress 2000 Contributed Papers 1510, Econometric Society. [Downloadable!]
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  8. Atsushi Iimi, 2003. "Efficiency in the Pakistani Banking Industry: Empirical Evidence after the Structural Reform in the Late 1990s," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 42(1), pages 41-57. [Downloadable!]
  9. Allen N. Berger & David B. Humphrey, 1997. "Efficiency of financial institutions: international survey and directions for future research," Finance and Economics Discussion Series 1997-11, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
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  10. Arthur Lewbel, 2005. "Simple Endogenous Binary Choice and Selection Panel Model Estimators," Boston College Working Papers in Economics 613, Boston College Department of Economics, revised 04 Sep 2006. [Downloadable!]
  11. Gary Koop & Lise Tole, 2008. "What is the environmental performance of firms overseas? An empirical investigation of the global gold mining industry," Journal of Productivity Analysis, Springer, vol. 30(2), pages 129-143, October. [Downloadable!] (restricted)
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