Data/hora: 09/06/2024 08:30:18

Provedor de dados: 	Research in Agricultural & Applied Economics (AgEcon Searh)	
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&gt;Volume 42, Number 02, May 2010