You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Estimating a Demand System with Nonnegativity Constraints: Mexican Meat Demand
Amos Golan, Jeffrey M. Perloff and Edward Z. Shen
The Review of Economics and Statistics
Vol. 83, No. 3 (Aug., 2001), pp. 541-550
Published by: The MIT Press
Stable URL: http://www.jstor.org/stable/3211554
Page Count: 10
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
A new information-based approach for estimating system of many equations with nonnegativity constraints is presented. This approach, called generalized maximum entropy (GME), is more practical and effecient 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.
The Review of Economics and Statistics © 2001 The MIT Press