Registro completo |
Provedor de dados: |
AgEcon
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País: |
United States
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Título: |
A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System
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Autores: |
Sulgham, Anil K.
Zapata, Hector O.
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Data: |
2006-01-13
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Ano: |
2006
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Palavras-chave: |
Demand and Price Analysis
Food Consumption/Nutrition/Food Safety
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Resumo: |
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.
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Tipo: |
Conference Paper or Presentation
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Idioma: |
Inglês
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Identificador: |
19486
http://purl.umn.edu/35441
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Editor: |
AgEcon Search
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Relação: |
Southern Agricultural Economics Association>2006 Annual Meeting, February 5-8, 2006, Orlando, Florida
Selected Paper
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Formato: |
21
application/pdf
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