Explaining applications to the U.S. disability system: a semiparametric approach.
This study investigates the determinants of applications for U.S. disability benefits between 1986 and 1993 using a semiparametric discrete factor procedure separately for men and women. Approximating a dynamic optimization model, the estimation accounts for a variety of potential biases that were u...
| Publicado en: | Journal of Human Resources Vol. 35; no. 1; pp. 82 - 116 |
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| Autores principales: | , |
| Formato: | Artículo |
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University of Wisconsin Press
Winter2000
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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=507739418&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507739418 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: Winter2000 vid: 35 iid: 1 pid: 249 pub: University of Wisconsin Press artinfo: ui: 507739418 10.2307/146357 ppf: 82 ppct: 34 formats: fmt: – @attributes: type: T – @attributes: type: P size: 7.2MB tig: atl: Explaining applications to the U.S. disability system: a semiparametric approach. aug: au: Kreider, Brent Riphahn, Regina T. su: Parameter estimation Disability determination Disability insurance United States sug: subj: United States Parameter estimation Disability determination Disability insurance keyword: Sex differences ab: This study investigates the determinants of applications for U.S. disability benefits between 1986 and 1993 using a semiparametric discrete factor procedure separately for men and women. Approximating a dynamic optimization model, the estimation accounts for a variety of potential biases that were unaddressed in prior studies. Our results indicate different responses of men and women to variations in policy measures. Past labor earnings and fringe benefits as well as benefit eligibility and benefit amounts clearly affect application behavior. 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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