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Model Validation And The Philippine Programming Model

Author

Listed:
  • Rodriguez, Gil R. Jr.
  • Kunkel, David E.

Abstract

This research demonstrates the need and the procedure for testing sector programming models It compares the model estimates of endogenous variables to carefully selected base period parameters It uses an operational, static, deterministic, and highly aggregate programming model of Philippine agriculture as the framework Alternative formulations of the Philippine model are also examined for possible errors In the consumption, production, and objective function data sets

Suggested Citation

  • Rodriguez, Gil R. Jr. & Kunkel, David E., 1980. "Model Validation And The Philippine Programming Model," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 32(2), pages 1-9, April.
    • Handle: RePEc:ags:uersja:148627
    DOI: 10.22004/ag.econ.148627
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    Citations

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    Cited by:

    1. Arriaza, M. & Gomez-Limon, J. A., 2003. "Comparative performance of selected mathematical programming models," Agricultural Systems, Elsevier, vol. 77(2), pages 155-171, August.
    2. McCarl, Bruce A. & Apland, Jeffrey, 1986. "Validation of Linear Programming Models," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 18(2), pages 155-164, December.
    3. McCarl, Bruce A., 1984. "Model Validation: An Overview with some Emphasis on Risk Models," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 52(03), pages 1-21, December.

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