EconPapers    
Economics at your fingertips  
 

Estimating a Demand System with Seasonally Differenced Data

Ardian Harri, B Brorsen, Andrew Muhammad () and John D. Anderson

Journal of Agricultural and Applied Economics, 2010, vol. 42, issue 2, 321-335

Abstract: 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.

Date: 2010
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)

Related works:
Journal Article: Estimating a Demand System with Seasonally Differenced Data (2010) Downloads
Working Paper: Estimating a Demand System with Seasonally Differenced Data (2008) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cup:jagaec:v:42:y:2010:i:02:p:321-335_00

Access Statistics for this article

More articles in Journal of Agricultural and Applied Economics from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Keith Waters ().

 
Page updated 2021-04-14
Handle: RePEc:cup:jagaec:v:42:y:2010:i:02:p:321-335_00