A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System

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.


Issue Date:
2006
Publication Type:
Conference Paper/ Presentation
Record Identifier:
http://ageconsearch.umn.edu/record/35441
PURL Identifier:
http://purl.umn.edu/35441
Total Pages:
21
Series Statement:
Selected Paper




 Record created 2017-04-01, last modified 2018-01-22

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