EconStor >
Forschungsinstitut zur Zukunft der Arbeit (IZA), Bonn >
IZA Discussion Papers, Forschungsinstitut zur Zukunft der Arbeit (IZA) >

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10419/67262
  

Full metadata record

DC FieldValueLanguage
dc.contributor.authorGiles, John T.en_US
dc.contributor.authorMurtazashvili, Irinaen_US
dc.date.accessioned2012-10-16en_US
dc.date.accessioned2012-12-07T16:54:53Z-
dc.date.available2012-12-07T16:54:53Z-
dc.date.issued2012en_US
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_US
dc.language.isoengen_US
dc.publisherIZA Bonnen_US
dc.relation.ispartofseriesDiscussion Paper Series, Forschungsinstitut zur Zukunft der Arbeit 6887en_US
dc.subject.jelC13en_US
dc.subject.jelC33en_US
dc.subject.jelO15en_US
dc.subject.jelP25en_US
dc.subject.ddc330en_US
dc.subject.keyworddynamic binary response modelsen_US
dc.subject.keywordcontrol function approachen_US
dc.subject.keywordmigrationen_US
dc.subject.keywordpoverty-persistenceen_US
dc.subject.keywordrural Chinaen_US
dc.subject.stwProbit-Modellen_US
dc.subject.stwPanelen_US
dc.subject.stwSchätztheorieen_US
dc.subject.stwTheorieen_US
dc.subject.stwLandfluchten_US
dc.subject.stwArmuten_US
dc.subject.stwSchätzungen_US
dc.subject.stwChinaen_US
dc.titleA control function approach to estimating dynamic probit models with endogenous regressors, with an application to the study of poverty persistence in Chinaen_US
dc.typeWorking Paperen_US
dc.identifier.ppn727539353en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
Appears in Collections:IZA Discussion Papers, Forschungsinstitut zur Zukunft der Arbeit (IZA)

Files in This Item:
File Description SizeFormat
727539353.pdf1.17 MBAdobe PDF
No. of Downloads: Counter Stats
Show simple item record
Download bibliographical data as: BibTeX

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.