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dc.contributor.authorGiles, John T.en
dc.contributor.authorMurtazashvili, Irinaen
dc.date.accessioned2012-10-16-
dc.date.accessioned2012-12-07T16:54:53Z-
dc.date.available2012-12-07T16:54:53Z-
dc.date.issued2012-
dc.identifier.urihttp://hdl.handle.net/10419/67262-
dc.description.abstractThis paper proposes a parametric approach to estimating a dynamic binary response panel data model that allows for endogenous contemporaneous regressors. Such a model is of particular value for settings in which one wants to estimate the effects of an endogenous treatment on a binary outcome. In order to demonstrate the usefulness of the approach, we use it to examine the impact of rural-urban migration on the likelihood that households in rural China fall below the poverty line. In this application, it is shown that migration is important for reducing the likelihood that poor households remain in poverty and that non-poor households fall into poverty. Furthermore, it is demonstrated that failure to control for unobserved heterogeneity would lead the researcher to underestimate the impact of migrant labor markets on reducing the probability of falling into poverty.en
dc.language.isoengen
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen
dc.relation.ispartofseries|aIZA Discussion Papers |x6887en
dc.subject.jelC13en
dc.subject.jelC33en
dc.subject.jelO15en
dc.subject.jelP25en
dc.subject.ddc330en
dc.subject.keyworddynamic binary response modelsen
dc.subject.keywordcontrol function approachen
dc.subject.keywordmigrationen
dc.subject.keywordpoverty-persistenceen
dc.subject.keywordrural Chinaen
dc.subject.stwProbit-Modellen
dc.subject.stwPanelen
dc.subject.stwSchätztheorieen
dc.subject.stwTheorieen
dc.subject.stwLandfluchten
dc.subject.stwArmuten
dc.subject.stwSchätzungen
dc.subject.stwChinaen
dc.titleA control function approach to estimating dynamic probit models with endogenous regressors, with an application to the study of poverty persistence in China-
dc.typeWorking Paperen
dc.identifier.ppn727539353en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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