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Test for randomness of the technology parameter in a stochastic frontier regression model

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  • T. Ramanathan
  • Chanchala Ghadge

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  • T. Ramanathan & Chanchala Ghadge, 2010. "Test for randomness of the technology parameter in a stochastic frontier regression model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(3), pages 319-331, August.
  • Handle: RePEc:spr:stmapp:v:19:y:2010:i:3:p:319-331
    DOI: 10.1007/s10260-009-0129-9
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    References listed on IDEAS

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    1. 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.
    2. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    3. T. Ramanathan & M. Rajarshi, 1992. "Rank tests for testing randomness of a regression coefficient in a linear regression model," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 39(1), pages 113-124, December.
    4. Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
    5. Christensen, Laurits R & Greene, William H, 1976. "Economies of Scale in U.S. Electric Power Generation," Journal of Political Economy, University of Chicago Press, vol. 84(4), pages 655-676, August.
    6. 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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