A Spatial and Temporal Model of the North American Pork Sector for the Evaluation of Policy Alternatives

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Abstract
A quarterly recursive quadratic programming model of the North American pork sector is constructed to explain spatial and temporal variations in the sector and to evaluate the repercussions of policy changes. The model incorporates econometric supply, demand for consumption and demand for storage equations for Eastern and Western Canada and the United States. It is then run over a forty‐one quarter period to evaluate its ability to simulate the sector. A policy experiment is conducted which assesses a change in tariff policies between Canada and the United States to illustrate the model's application for policy analysis.

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