Data/hora: 16/06/2024 11:17:49

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

application/pdf