Data/hora: 10/06/2024 14:46:14

Provedor de dados: | 31
País: | United States
Título: | Household food expenditures in the United States: A Bayesian MCMC approach to censored equation systems
Autores: | Kasteridis,   Panagiotis P.; Yen,   Steven T.
Data: | 2010-05-05
Ano: | 2010
Palavras-chave: | Bayesian MCMC; Censored equation system; Consumer Expenditure Survey; Food Consumption/Nutrition/Food Safety; C11; C34; D12; C11; C34; D12.
Resumo: | We apply a Bayesian Markov Chain Monte Carlo (MCMC) technique, along with data augmentation to accommodate censoring in the dependent variables, to the estimation of a large expenditure system of food expenditures. Our finding of significant error covariance estimates justifies estimation of the system in improving statistical efficiency. Income, household composition, regions and other socio-demographic variables are found to play significant roles in determining household food expenditures.
Tipo: | Conference Paper or Presentation
Idioma: | Inglês
Identificador: | http://purl.umn.edu/61763

Relação:

Agricultural and Applied Economics Association&gt;2010 Annual Meeting, July 25-27, 2010, Denver, Colorado

Selected Paper

11843

Formato: | 24