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Corrigendum to "Semiparametric-efficient estimation of AR(1) panel data models": [J. Econom. 117 (2003) 279-309]

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  • Park, Byeong U.
  • Sickles, Robin C.
  • Simar, Leopold

Abstract

This study focuses on the semiparametric efficient estimation of random effect panel models containing AR(1) disturbances. We also consider such estimators when the effects and regressors are correlated (Hausman and Taylor, 1981). One motivation for such a model is the need to estimate a stochastic frontier distance function, isolate the fixed effects estimates, and interpret transformations of them as firm-specific relative efficiencies (Schmidt and Sickles, 1984). In markets in which regulatory constraints have been lessened or done away with, these market shocks may not be adjusted to immediately and may induce a serial correlation pattern in within firm variations. In the banking industry, whose productivity we analyze over the 1980's and 1990's, these aspects of semiparametric efficient estimation become important in order to resolve questions concerning the proper measurement of financial deregulation's impact on productivity. We introduce two semiparametric efficient estimators that make minimal assumptions on the distribution of the random errors, effects, and the regressors and that provide semiparametric efficient estimates of the slope parameters and of the effects. Our estimators extend the previous work of Park and Simar (1995), Park, Sickles, and Simar (1998), and Adams, Berger, and Sickles (1998).
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Suggested Citation

  • Park, Byeong U. & Sickles, Robin C. & Simar, Leopold, 2003. "Corrigendum to "Semiparametric-efficient estimation of AR(1) panel data models": [J. Econom. 117 (2003) 279-309]," Journal of Econometrics, Elsevier, vol. 117(2), pages 311-311, December.
    • Handle: RePEc:eee:econom:v:117:y:2003:i:2:p:311-311
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    Cited by:

    1. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C. & Weyman-Jones, Thomas, 2016. "The Spatial Efficiency Multiplier and Random Effects in Spatial Stochastic Frontier Models," Working Papers 16-002, Rice University, Department of Economics.
    2. Robin C. Sickles & Jiaqi Hao & Chenjun Shang, 2014. "Panel data and productivity measurement: an analysis of Asian productivity trends," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 12(3), pages 211-231, August.
    3. Daniel Wikström, 2015. "A finite sample improvement of the fixed effects estimator applied to technical inefficiency," Journal of Productivity Analysis, Springer, vol. 43(1), pages 29-46, February.
    4. Inanoglu, Hulusi & Jacobs, Michael, Jr. & Liu, Junrong & Sickles, Robin, 2015. "Analyzing Bank Efficiency: Are "Too-Big-to-Fail" Banks Efficient?," Working Papers 15-016, Rice University, Department of Economics.
    5. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    6. Kutlu, Levent, 2010. "Battese-coelli estimator with endogenous regressors," Economics Letters, Elsevier, vol. 109(2), pages 79-81, November.
    7. Florens, Jean-Pierre & Schwarz, Maik & Van Bellegem, Sébastien, 2010. "Nonparametric Frontier Estimation from Noisy Data," IDEI Working Papers 625, Institut d'Économie Industrielle (IDEI), Toulouse.
    8. Meryem Duygun & Levent Kutlu & Robin C. Sickles, 2016. "Measuring productivity and efficiency: a Kalman filter approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 155-167, December.
    9. Vijesh Krishna & Prakashan Veettil, 2015. "Productivity and Efficiency Impacts of Zero Tillage Wheat in Northwest Indo-Gangetic Plains," Working Papers id:7716, eSocialSciences.
    10. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    11. Badunenko, Oleg & D’Inverno, Giovanna & De Witte, Kristof, 2023. "On distinguishing the direct causal effect of an intervention from its efficiency-enhancing effects," European Journal of Operational Research, Elsevier, vol. 310(1), pages 432-447.
    12. Léopold Simar & Paul W. Wilson, 2015. "Statistical Approaches for Non-parametric Frontier Models: A Guided Tour," International Statistical Review, International Statistical Institute, vol. 83(1), pages 77-110, April.
    13. Meryem Duygun & Jiaqi Hao & Anders Isaksson & Robin C. Sickles, 2017. "World Productivity Growth: A Model Averaging Approach," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 587-619, October.
    14. Sickles, Robin C., 2005. "Panel estimators and the identification of firm-specific efficiency levels in parametric, semiparametric and nonparametric settings," Journal of Econometrics, Elsevier, vol. 126(2), pages 305-334, June.
    15. S. S. Rajan & K. L. N. Reddy & V. N. Pandit, 2011. "Efficiency And Productivity Growth In Indian Banking," Working papers 199, Centre for Development Economics, Delhi School of Economics.
    16. Blazek, David & Sickles, Robin C., 2010. "The impact of knowledge accumulation and geographical spillovers on productivity and efficiency: The case of U. S. shipbuilding during WWII," Economic Modelling, Elsevier, vol. 27(6), pages 1484-1497, November.
    17. Krishna, Vijesh V. & Veettil, Prakashan C., 2014. "Productivity and efficiency impacts of conservation tillage in northwest Indo-Gangetic Plains," Agricultural Systems, Elsevier, vol. 127(C), pages 126-138.
    18. 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.
    19. Park, Byeong U. & Sickles, Robin C. & Simar, Leopold, 2007. "Semiparametric efficient estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 136(1), pages 281-301, January.
    20. Kutlu, Levent, 2013. "Misspecification in allocative inefficiency: A simulation study," Economics Letters, Elsevier, vol. 118(1), pages 151-154.
    21. Kutlu, Levent, 2012. "US banking efficiency, 1984–1995," Economics Letters, Elsevier, vol. 117(1), pages 53-56.
    22. Timo Kuosmanen & Mika Kortelainen, 2012. "Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints," Journal of Productivity Analysis, Springer, vol. 38(1), pages 11-28, August.

    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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