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Theoretical and Empirical Advantages of Truncated Count Data Estimators for Analysis of Deer Hunting in California

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  • Creel, Michael D.
  • Loomis, John B.

Abstract

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Suggested Citation

  • Creel, Michael D. & Loomis, John B., 1989. "Theoretical and Empirical Advantages of Truncated Count Data Estimators for Analysis of Deer Hunting in California," WAEA/ WFEA Conference Archive (1929-1995) 245039, Western Agricultural Economics Association.
    • Handle: RePEc:ags:waeaar:245039
    DOI: 10.22004/ag.econ.245039
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    References listed on IDEAS

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    1. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Theory," Econometrica, Econometric Society, vol. 52(3), pages 681-700, May.
    2. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Applications to Poisson Models," Econometrica, Econometric Society, vol. 52(3), pages 701-720, May.
    3. Lee, Lung-Fei, 1986. "Specification Test for Poisson Regression Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(3), pages 689-706, October.
    4. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
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