Nonlinear Programming and the Food Price Index.
Abstract
There is a possibility that planning on both institutional and household levels will begin to utilize mathematical programming models in the future. In such applications relative food price changes induce predictable changes in the food quantities purchased. A new understanding concerning food preference functions provides the motivation for this report.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1973
- Accession Number
- AD0766097
Entities
People
- Joseph L. Balintfy
Organizations
- University of Massachusetts Amherst