Econometric-Process Models For Integrated Assessment Of Agricultural Production Systems
AbstractThis 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.
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Bibliographic InfoPaper provided by Montana State University, Department of Agricultural Economics and Economics in its series Trade Research Center Research Discussion Papers with number 29234.
Date of creation: 2000
Date of revision:
bio-physical models; integrated assessment; production models; dryland grain production; econometric-process models; Production Economics; C5; Q1; Q2;
Other versions of this item:
- John M. Antle & Susan M. Capalbo, 2001. "Econometric-Process Models for Integrated Assessment of Agricultural Production Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 389-401.
- 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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