Combining Cross-Section and Time-Series Information on Demand Relationships for Substitute Goods

R. A. Holmes

American Journal of Agricultural Economics, 1968, vol. 50, issue 1, 56-65

Abstract: This study deals with the problem of pooling cross-section and time-series results in the estimation of demand functions when the appropriate endogenous variable differs in the two analyses. An iterative estimation procedure which incorporates a necessary distinction between quantity and quality elasticities of demand is developed and tested. This procedure addresses the estimation problems arising from differences between the cross-section and time-series models and data, and provides a partial test of the model specification.

Date: 1968
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.2307/1237871 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
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:oup:ajagec:v:50:y:1968:i:1:p:56-65.

Access Statistics for this article

American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu

More articles in American Journal of Agricultural Economics from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().