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Econometric-Process Models For Integrated Assessment Of Agricultural Production Systems

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  • Antle, John M.
  • Capalbo, Susan Marie

Abstract

This paper develops the conceptual and empirical basis for a class of empirical economic production models that can be linked to site-specific bio-physical models for use in integrated assessment research. Site-specific data are used to estimate econometric production models, and these data and models are then incorporated into a simulation model that represents the decision making process of the farmer as a sequence of discrete or continuous land use and input use decisions. This discrete/continuous structure of the econometric process model is able to simulate decision making both within and outside the range of observed data in a way that is consistent with economic theory and with site-specific bio-physical constraints and processes. An econometric-process model of the dryland grain production system of the Northern Plains demonstrates the capabilities of this type of model.

Suggested Citation

  • Antle, John M. & Capalbo, Susan Marie, 2000. "Econometric-Process Models For Integrated Assessment Of Agricultural Production Systems," Research Discussion Papers 29234, Montana State University, Department of Agricultural Economics and Economics, Trade Research Center.
    • Handle: RePEc:ags:motrdp:29234
    DOI: 10.22004/ag.econ.29234
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    More about this item

    Keywords

    Production Economics;

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation

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