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Provedor de dados:  AgEcon
País:  United States
Título:  Estimating a Demand System with Seasonally Differenced Data
Autores:  Harri, Ardian
Brorsen, B. Wade
Muhammad, Andrew
Anderson, John D.
Data:  2010-05-01
Ano:  2010
Palavras-chave:  Autocorrelation
Demand system
Monte Carlo
Overlapping data
Seasonal differences
Agribusiness
Demand and Price Analysis
Financial Economics
Research Methods/ Statistical Methods
C13
Q11
Q13
Resumo:  Several recent papers have used annual changes and monthly data to estimate demand systems. Such use of overlapping data introduces a moving average error term. This paper shows how to obtain consistent and asymptotically efficient estimates of a demand system using seasonally differenced data. Monte Carlo simulations and an empirical application to the estimation of the U.S. meat demand are used to compare the proposed estimator with alternative estimators. Once the correct estimator is used, there is no advantage to using overlapping data in estimating a demand system.
Tipo:  Journal Article
Idioma:  Inglês
Identificador:  http://purl.umn.edu/90679
Relação:  Journal of Agricultural and Applied Economics>Volume 42, Number 02, May 2010
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