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Stochastic panel frontiers: A semiparametric approach

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  • PARK, Beyong U.
  • SICKLES, Robin C.
  • SIMAR, Léopold

Abstract

This paper complements the results of Hausman and Taylor (1981) and Cornwell, Schmidt and Sickles (1990) and generalizes Park and Simar (1994) by examining the semiparametric efficient estimation of panel models in which the random effects and the regressors have certain patterns of correlation. A model in which the estimator may have particular promise is the stochastic panel frontier model. In that model inefficiency may be correlated with certain determinants of technology or proxies for heterogeneity in the application of that technology. Generalized least squares or other estimators that fail to address this dependency structure are inconsistent. We examine semiparametric efficient estimation for three different models based on differing dependency structures. Efficiency of the slope parameters and the asymptotic proper- ties of the level of the frontier function are explored. We illustrate our new estimator in an analysis of productive efficiency between selected North American and European airline firms after domestic deregulation in the U.S. and prior to recent European reforms implemented in the course of EC integration.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • PARK, Beyong U. & SICKLES, Robin C. & SIMAR, Léopold, 1998. "Stochastic panel frontiers: A semiparametric approach," LIDAM Reprints CORE 1330, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvrp:1330
    DOI: 10.1016/S0304-4076(97)00087-0
    Note: In : Journal of Econometrics, 84, 273-301, 1998
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    as
    1. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    2. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
    3. David Good & M. Nadiri & Lars-Hendrik Röller & Robin Sickles, 1993. "Efficiency and productivity growth comparisons of European and U.S. Air carriers: A first look at the data," Journal of Productivity Analysis, Springer, vol. 4(1), pages 115-125, June.
    4. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    5. Chamberlain, Gary, 1987. "Asymptotic efficiency in estimation with conditional moment restrictions," Journal of Econometrics, Elsevier, vol. 34(3), pages 305-334, March.
    6. 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.
    7. Sickles, Robin C., 1985. "A nonlinear multivariate error components analysis of technology and specific factor productivity growth with an application to the U.S. Airlines," Journal of Econometrics, Elsevier, vol. 27(1), pages 61-78, January.
    8. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    9. Newey, Whitney K, 1990. "Semiparametric Efficiency Bounds," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 5(2), pages 99-135, April-Jun.
    10. Breusch, Trevor S & Mizon, Grayham E & Schmidt, Peter, 1989. "Efficient Estimation Using Panel Data," Econometrica, Econometric Society, vol. 57(3), pages 695-700, May.
    11. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    12. Amemiya, Takeshi & MaCurdy, Thomas E, 1986. "Instrumental-Variable Estimation of an Error-Components Model," Econometrica, Econometric Society, vol. 54(4), pages 869-880, July.
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