Estimating A Demand System With Nonnegativity Constraints: Mexican Meat Demand

Amos Golan, Jeffrey Perloff and Edward Z. Shen

The Review of Economics and Statistics, 2001, vol. 83, issue 3, 541-550

Abstract: A new information-based approach for estimating systems of many equations with nonnegativity constraints is presented. This approach, called generalized maximum entropy (GME), is more practical and efficient than traditional maximum-likelihood methods. The GME method is used to estimate an almost ideal demand system for five types of meat using cross-sectional data from Mexico, where most households did not buy at least one type of meat during the survey week. The system of demands is shown to vary across demographic groups. © 2001 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology

Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (17)

Downloads: (external link)
http://www.mitpressjournals.org/doi/pdf/10.1162/00346530152480180 (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:tpr:restat:v:83:y:2001:i:3:p:541-550

Ordering information: This journal article can be ordered from
https://mitpressjour ... rnal/?issn=0034-6535

Access Statistics for this article

The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu

More articles in The Review of Economics and Statistics from MIT Press
Bibliographic data for series maintained by The MIT Press ().