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A Bayesian estimator for stochastic frontier models with errors in variables

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  • Sheng-Kai Chang
  • Yi-Yi Chen
  • Hung-Jen Wang

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Suggested Citation

  • Sheng-Kai Chang & Yi-Yi Chen & Hung-Jen Wang, 2012. "A Bayesian estimator for stochastic frontier models with errors in variables," Journal of Productivity Analysis, Springer, vol. 38(1), pages 1-9, August.
    • Handle: RePEc:kap:jproda:v:38:y:2012:i:1:p:1-9
    DOI: 10.1007/s11123-011-0242-2
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    References listed on IDEAS

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    1. Timothy Erickson & Toni M. Whited, 2000. "Measurement Error and the Relationship between Investment and q," Journal of Political Economy, University of Chicago Press, vol. 108(5), pages 1027-1057, October.
    2. Heitor Almeida & Murillo Campello, 2007. "Financial Constraints, Asset Tangibility, and Corporate Investment," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1429-1460, 2007 12.
    3. Hunt-McCool, Janet & Koh, Samuel C & Francis, Bill B, 1996. "Testing for Deliberate Underpricing in the IPO Premarket: A Stochastic Frontier Approach," The Review of Financial Studies, Society for Financial Studies, vol. 9(4), pages 1251-1269.
    4. Chen, Yi-Yi & Wang, Hung-Jen, 2004. "A method of moments estimator for a stochastic frontier model with errors in variables," Economics Letters, Elsevier, vol. 85(2), pages 221-228, November.
    5. Osterberg, William P., 1989. "Tobin's q, investment, and the endogenous adjustment of financial structure," Journal of Public Economics, Elsevier, vol. 40(3), pages 293-318, December.
    6. Jim Griffin & Mark Steel, 2007. "Bayesian stochastic frontier analysis using WinBUGS," Journal of Productivity Analysis, Springer, vol. 27(3), pages 163-176, June.
    7. Kumbhakar, Subal C., 1991. "Estimation of technical inefficiency in panel data models with firm- and time-specific effects," Economics Letters, Elsevier, vol. 36(1), pages 43-48, May.
    8. Erickson, Timothy & Whited, Toni M., 2002. "Two-Step Gmm Estimation Of The Errors-In-Variables Model Using High-Order Moments," Econometric Theory, Cambridge University Press, vol. 18(3), pages 776-799, June.
    9. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2005. "Measuring technical and allocative inefficiency in the translog cost system: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 126(2), pages 355-384, June.
    10. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676.
    11. Hofler, Richard A & Murphy, Kevin J, 1992. "Underpaid and Overworked: Measuring the Effect of Imperfect Information on Wages," Economic Inquiry, Western Economic Association International, vol. 30(3), pages 511-529, July.
    12. Heitor Almeida & Murillo Campello & Antonio F. Galvao, 2010. "Measurement Errors in Investment Equations," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3279-3328.
    13. Hayashi, Fumio, 1985. "Corporate finance side of the Q theory of investment," Journal of Public Economics, Elsevier, vol. 27(3), pages 261-280, August.
    14. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    15. Polachek, Solomon W. & Robst, John, 1998. "Employee labor market information: comparing direct world of work measures of workers' knowledge to stochastic frontier estimates," Labour Economics, Elsevier, vol. 5(2), pages 231-242, June.
    16. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    17. Wang, Hung-Jen, 2003. "A Stochastic Frontier Analysis of Financing Constraints on Investment: The Case of Financial Liberalization in Taiwan," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(3), pages 406-419, July.
    18. 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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    More about this item

    Keywords

    Stochastic frontier models; Measurement errors; Bayesian estimator; C11; C16; C51;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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