A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System
AbstractThe paper conducts an empirical investigation of the US meat demand system using quarterly data on per capita meat consumption and prices. SUR maximum likelihood is used to estimate a static and dynamic (error correction) linear almost ideal demand systems. Results compare static and dynamic model elasticities.
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Bibliographic InfoPaper provided by Southern Agricultural Economics Association in its series 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida with number 35441.
Date of creation: 2006
Date of revision:
Demand and Price Analysis; Food Consumption/Nutrition/Food Safety;
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