Analyzing perceived hunger across states in the US

This paper focuses on the problem of analyzing how factors impact hunger across states when hunger is ill-defined. Hunger (which is a latent variable) is presumed to depend on macroeconomic, legislation, policy, and demographic variables. Based on the Bayesian method of a posterior odds ratios, we find that the high school graduation rate appears to be the single most important factor we identify which affects the perceived hunger measure.

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Year of publication:	1999-05-11
Authors:	Slottje, Daniel J. ; Ryu, Hang K.
Published in:	Empirical Economics. - Department of Economics and Finance Research and Teaching. - Vol. 24.1999, 2, p. 323-329
Publisher:	Department of Economics and Finance Research and Teaching
Subject:	Quantifying hunger

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Extent:	application/pdf
Type of publication:	Article
Notes:	received: December 1996/final version received: September 1998
Classification:	D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement ; I38 - Government Policy; Provision and Effects of Welfare Programs ; I32 - Measurement and Analysis of Poverty
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005758387