COMPARISON OF THREE FOOD CONSUMPTION ESTIMATION PROCEDURES
Mervin J. Yetley and
Sovan Tun
No 276845, Staff Reports from United States Department of Agriculture, Economic Research Service
Abstract:
Three food demand estimation procedures were compared to find which best measures the structure of food demand. These procedures were Seemingly Unrelated Regression, Block Additive, and Ordinary Least Squares. The focus was on food commodity substitution. The comparison of results was made on the basis of commodity demand and net change in calories consumed as estimated by each procedure. Each procedure projects a similar pattern of commodity demand and net caloric intake change. Overall, the Seemingly Unrelated RegressIcn procedure provides the most reasonable and consistent results.
Keywords: Agricultural and Food Policy; Food Consumption/Nutrition/Food Safety (search for similar items in EconPapers)
Pages: 33
Date: 1984-07
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://ageconsearch.umn.edu/record/276845/files/ers-report-106.pdf (application/pdf)
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:ags:uerssr:276845
DOI: 10.22004/ag.econ.276845
Access Statistics for this paper
More papers in Staff Reports from United States Department of Agriculture, Economic Research Service Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().