ECONOMETRIC-PROCESS MODELS FOR INTEGRATED ASSESSMENT OF AGRICULTURAL PRODUCTION SYSTEMS

John Antle () and Susan Marie Capalbo

No 29234, Research Discussion Papers from Montana State University, Department of Agricultural Economics and Economics, Trade Research Center

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.

Keywords: Production; Economics (search for similar items in EconPapers)
Pages: 34
Date: 2000
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Citations: View citations in EconPapers (1)

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https://ageconsearch.umn.edu/record/29234/files/rdp40.pdf (application/pdf)

Related works:
Journal Article: Econometric-Process Models for Integrated Assessment of Agricultural Production Systems (2001)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:motrdp:29234

DOI: 10.22004/ag.econ.29234

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