ISSN:
1435-8921
Keywords:
Key words: Quantifying hunger
;
JEL classification:D63
;
I38
;
I32
Source:
Springer Online Journal Archives 1860-2000
Topics:
Economics
Notes:
Abstract. 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.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/s001810050057
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