The Simplified U.S. Model (Preliminary Version) for the IIASA/FAP Global System of Food and Agriculture Models: Domestic Utilization and Prices

Abkin, M.H. (1980). The Simplified U.S. Model (Preliminary Version) for the IIASA/FAP Global System of Food and Agriculture Models: Domestic Utilization and Prices. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-80-008

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Abstract

The Food and Agriculture Program of the International Institute for Applied Systems Analysis has been developing, as its major task, a global system of national food and agriculture models linked in a general equilibrium framework. The main objective is to analyze, over a 15- to 20-year horizon, the impact of national domestic and trade policies and of international agreements on the distribution of food and hunger in the world and on the pace of development in the LDCs. The United States, as a major exporter of food and feed grains, is a key link in the system. It can, through its aid, trade and domestic food policies, have a major influence, both intentional and unintentional, on the world food situation. Michigan State University (MSU) is collaborating with IIASA/FAP and the USDA in the development of simplified and detailed models of U.S. food and agriculture for linkage in the FAP global system.

This working paper presents some rough notes describing the demand side of the preliminary version of the simplified U.S. model. The supply side is based on the domestic supply component of the MSU Ag Model, which has been under development at MSU for several years on a grant from the John Deere Corporation and other contract research support. Detailed documentation of that model is in preparation at MSU; this paper limits its scope to the demand and price components developed for linkage to IIASA's system. The model presented here is preliminary in the sense that a great deal more testing and refinement are necessary in the context of the global system to enhance its usefulness.

The major contributors to the simplified U.S. model are Michael Abkin, Donald Mitchell, Eric Wailes and Chris Wolf of MSU, and David Watt of USDA. Dan Kauffman, Tracy Miller and Dave Zeitler have contributed at various stages of data collection and parameter estimation, and others contributing to the MSU Ag Model over the years are too numerous to mention here.

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