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.
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First version received: December 1996/final version received: September 1998
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Ryu, H., Slottje, D. Analyzing perceived hunger across states in the US. Empirical Economics 24, 323–329 (1999). https://doi.org/10.1007/s001810050057
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DOI: https://doi.org/10.1007/s001810050057