INFERRING THE NUTRIENT CONTENT OF FOOD WITH PRIOR INFORMATION

Given measurements on the nutrient content of the U.S. food supply and a coherent reduced form empirical model of the demand for foods, we can analyze the effect of agricultural farm and food policy on nutrition. Using unpublished documents from the HNIS, estimates of the percentages of seventeen nutrients supplied by twenty-one foods were compiled for the period 1952-1983. The Bayesian Method of Moments is applied to this data set to obtain a proper prior for the purpose of drawing year-to-year inferences about the nutrient content of the U.S. food supply for the period 1909-1994. Information theory and the Kullback-Leibler cross entropy criterion are used to formalize the inference problem.


Issue Date:
1998
Publication Type:
Working or Discussion Paper
PURL Identifier:
http://purl.umn.edu/25067
Total Pages:
20
Series Statement:
Working Paper 863




 Record created 2017-04-01, last modified 2017-08-24

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