Data/hora: 07/06/2024 05:47:17

Provedor de dados: 	31	
País: 	United States	
Título: 	A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System	
Autores: 	Sulgham,   Anil K.; Zapata,   Hector O.	
Data: 	2006-01-13	
Ano: 	2006	
Palavras-chave: 	Demand and Price Analysis; Food Consumption/Nutrition/Food Safety.	
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.	
Tipo: 	Conference Paper or Presentation	
Idioma: 	Inglês	
Identificador: 	19486

http://purl.umn.edu/35441	
Editor: 	AgEcon Search	
Relação: 	Southern Agricultural Economics Association&gt;2006 Annual Meeting, February 5-8, 2006, Orlando, Florida

Selected Paper	
Formato: 	21

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