Food Stamps and Food Insecurity: What Can Be Learned in the Presence of Nonclassical Measurement Error?
Policymakers have been puzzled to observe that food stamp households appear more likely to be food insecure than observationally similar eligible nonparticipating households. We reexamine this issue allowing for nonclassical reporting errors in food stamp participation and food insecurity. Extending...
| Publicado en: | Journal of Human Resources Vol. 43; no. 2; pp. 352 - 383 |
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| Autores principales: | , |
| Formato: | Artículo |
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University of Wisconsin Press
Spring2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=508058763&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 508058763 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0022166X JHR jtl: Journal of Human Resources issn: 0022166X maglogo: N pubinfo: dt: Spring2008 vid: 43 iid: 2 pid: 249 pub: University of Wisconsin Press artinfo: ui: 508058763 ppf: 352 ppct: 31 formats: fmt: @attributes: type: P size: 7.1MB tig: atl: Food Stamps and Food Insecurity: What Can Be Learned in the Presence of Nonclassical Measurement Error? aug: au: Gundersen, Craig Kreider, Brent su: Food stamps Food consumption Mathematical models Child nutrition sug: subj: Food stamps Food consumption Mathematical models Child nutrition keyword: Food supply -- United States -- Mathematical models ab: Policymakers have been puzzled to observe that food stamp households appear more likely to be food insecure than observationally similar eligible nonparticipating households. We reexamine this issue allowing for nonclassical reporting errors in food stamp participation and food insecurity. Extending the literature on partially identified parameters, we introduce a nonparametric framework that makes transparent what can be known about conditional probabilities when a binary outcome and conditioning variable are both subject to nonclassical measurement error. We find that the food insecurity paradox hinges on assumptions about the data that are not supported by the previous food stamp participation literature. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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