Econometric‐Process Models for Integrated Assessment of Agricultural Production Systems

13 Pages Posted: 24 Mar 2020

See all articles by John M. Antle

John M. Antle

Oregon State University

Susan M. Capalbo

Montana State University - Bozeman - Department of Agricultural Economics and Economics

Date Written: May 2001

Abstract

This article develops the conceptual and empirical basis for a class of empirical economic production models that can be linked to site‐specific biophysical 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 and continuous land‐use and input‐use decisions. An econometric‐process model of the dryland grain production system of the Northern Plains demonstrates the capabilities of this type of model to simulate decision making both within and outside the range of observed data.

Keywords: econometric production models, integrated assessment, simulation, Q120

Suggested Citation

Antle, John M. and Capalbo, Susan M., Econometric‐Process Models for Integrated Assessment of Agricultural Production Systems (May 2001). American Journal of Agricultural Economics, Vol. 83, Issue 2, pp. 389-401, 2001, Available at SSRN: https://ssrn.com/abstract=3558562 or http://dx.doi.org/10.1111/0002-9092.00164

John M. Antle (Contact Author)

Oregon State University

Susan M. Capalbo

Montana State University - Bozeman - Department of Agricultural Economics and Economics ( email )

306 Linfield Hall
P.O. Box 172920
Bozeman, MT 59717-2920
United States
406-994-5619 (Phone)
406-994-4838 (Fax)

HOME PAGE: http://www2.montana.edu/scapalbo/

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