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.
Volume (Year): 24 (1999)
Issue (Month): 2 ()
|Note:||received: December 1996/final version received: September 1998|
|Contact details of provider:|| Postal: |
Phone: ++43 - (0)1 - 599 91 - 0
Fax: ++43 - (0)1 - 599 91 - 555
Web page: http://link.springer.de/link/service/journals/00181/index.htm
More information through EDIRC
|Order Information:||Web: http://link.springer.de/orders.htm|
When requesting a correction, please mention this item's handle: RePEc:spr:empeco:v:24:y:1999:i:2:p:323-329. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)or (Christopher F Baum)
If references are entirely missing, you can add them using this form.