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Joint estimation of technical efficiency and production risk for multi-output banks under a panel data cost frontier model

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  • Tai-Hsin Huang
  • Tong-Liang Kao

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  • Tai-Hsin Huang & Tong-Liang Kao, 2006. "Joint estimation of technical efficiency and production risk for multi-output banks under a panel data cost frontier model," Journal of Productivity Analysis, Springer, vol. 26(1), pages 87-102, August.
    • Handle: RePEc:kap:jproda:v:26:y:2006:i:1:p:87-102
    DOI: 10.1007/s11123-006-0007-5
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    3. PARK, Byeong & SIMAR, Léopold, 1992. "Efficient semiparametric estimation in stochastic frontier model," LIDAM Discussion Papers CORE 1992013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    8. Kumbhakar, Sabul C., 1993. "Production risk, technical efficiency, and panel data," Economics Letters, Elsevier, vol. 41(1), pages 11-16.
    9. I. Fraser & W. Horrace, 2003. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Journal of Productivity Analysis, Springer, vol. 20(2), pages 169-190, September.
    10. William C. Horrace & Peter Schmidt, 2000. "Multiple comparisons with the best, with economic applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 1-26.
    11. H. Alan Love & Steven T. Buccola, 1999. "Joint Risk Preference-Technology Estimation with a Primal System: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 245-247.
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    16. Subal C. Kumbhakar, 2002. "Specification and Estimation of Production Risk, Risk Preferences and Technical Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 8-22.
    17. Wolak, Frank A & Kolstad, Charles D, 1991. "A Model of Homogeneous Input Demand under Price Uncertainty," American Economic Review, American Economic Association, vol. 81(3), pages 514-538, June.
    18. G. Battese & A. Rambaldi & G. Wan, 1997. "A Stochastic Frontier Production Function with Flexible Risk Properties," Journal of Productivity Analysis, Springer, vol. 8(3), pages 269-280, August.
    19. Chambers, Robert G, 1983. "Scale and Productivity Measurement under Risk," American Economic Review, American Economic Association, vol. 73(4), pages 802-805, September.
    20. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    21. Appelbaum, E., 1989. "Uncertainty And The Measurement Of Productivity," Papers 89-05, York (Canada) - Department of Economics.
    22. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    23. H. Alan Love & Steven T. Buccola, 1991. "Joint Risk Preference-Technology Estimation with a Primal System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 765-774.
    24. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    Cited by:

    1. Tai-Hsin Huang & Ying-Ting Liao & Li-Chih Chiang, 2010. "An examination on the cost efficiency of the banking industry under multiple output prices' uncertainty," Applied Economics, Taylor & Francis Journals, vol. 42(9), pages 1169-1182.
    2. Hiroshi Nakamura & Naohiko Wakutsu, 2019. "Reducing pharmaceutical reimbursement price risk to lower national health expenditures without lowering R&D incentives," International Journal of Economic Policy Studies, Springer, vol. 13(1), pages 75-88, January.
    3. Li, Yang, 2020. "Analyzing efficiencies of city commercial banks in China: An application of the bootstrapped DEA approach," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    4. Gabriel A. Ogunmola & Fengsheng Chien & Ka Yin Chau & Li Li, 2022. "The Influence of Capital Requirement of Basel III Adoption on Banks’ Operating Efficiency: Evidence from U.S. Banks," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 11(2), pages 5-26.
    5. Cortés-García, J. Salvador & Pérez-Rodríguez, Jorge V., 2024. "Heterogeneity and time-varying efficiency in the Ecuadorian banking sector. An output distance stochastic frontier approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 164-175.
    6. Nakamura, Hiroshi & Wakutsu, Naohiko, 2020. "Reducing Reimbursement Drug Price Risk to Enhance R&D Incentives without Raising Drug Prices/Expenditures: Implications of Simulations Based on Questionnaire Survey of Pharmaceutical Companies in Japa," Health Policy, Elsevier, vol. 124(7), pages 714-720.
    7. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    8. Huang, Tai-Hsin & Hu, Chu-Nan & Chang, Bao-Guang, 2018. "Competition, efficiency, and innovation in Taiwan’s banking industry — An application of copula methods," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 362-375.
    9. Shen, Chung-Hua & Chen, Ting-Hsuan, 2010. "Estimating banking cost efficiency with the consideration of cost management," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(4), pages 424-435, November.

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    More about this item

    Keywords

    Production risk; Technical efficiency; Confidence intervals; C33; D24; D81;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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