A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System

Anil K. Sulgham and Hector O. Zapata

No 35441, 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida from Southern Agricultural Economics Association

Abstract: The 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.

Keywords: Demand and Price Analysis; Food Consumption/Nutrition/Food Safety (search for similar items in EconPapers)
Date: 2006
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