Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/20178
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dc.creatorBurkhauser, Richard V.-
dc.creatorButler, J. S.-
dc.creatorGumus, Gulcin-
dc.date2003-
dc.date.accessioned2013-10-16T07:09:13Z-
dc.date.available2013-10-16T07:09:13Z-
dc.date.issued2013-10-16-
dc.identifierhttp://hdl.handle.net/10419/20178-
dc.identifierppn:374503087-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/10419/20178-
dc.descriptionThis paper develops dynamic structural models - an option value model and a dynamic programming model - of the Social Security Disability Insurance (SSDI) application timing decision. We estimate the time to application from the point at which a health condition first begins to affect the kind or amount of work that a currently employed person can do. We use Health and Retirement Study (HRS) and restricted access Social Security earnings data for estimation. Based on tests of both in-sample and out-of-sample predictive accuracy, our option value model performs better than both our dynamic programming model and our reduced form hazard model.-
dc.languageeng-
dc.publisher-
dc.relationIZA Discussion paper series 941-
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.subjectH55-
dc.subjectH31-
dc.subjectddc:330-
dc.subjectSocial Security Disability Insurance-
dc.subjectHealth and Retirement Survey-
dc.subjectoption value-
dc.subjectdynamic programming-
dc.subjectErwerbsunfähigkeitsrente-
dc.subjectAltersgrenze-
dc.subjectArbeitsangebot-
dc.subjectDynamische Optimierung-
dc.subjectRealoption-
dc.subjectSchätzung-
dc.subjectVereinigte Staaten-
dc.titleOption value and dynamic programming model estimates of social security disability insurance application timing-
dc.typedoc-type:workingPaper-
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