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Identification and Estimation of Economic Models of Outmigration Using Panel Attrition

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dc.creator Bellemare, Charles
dc.date 2004
dc.date.accessioned 2013-10-16T07:09:51Z
dc.date.available 2013-10-16T07:09:51Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/20300
dc.identifier ppn:383808413
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/20300
dc.description Because their departures are difficultly observed, little is known about the performance of immigrants who leave a region and move to another. This paper shows conditions under which the (conditional) outmigration probability, work probability and the expected earnings of outmigrants are nonparametrically identified using data on immigrant sample attrition. We present an econometric model which extracts the information on outmigration behavior from sample attrition and allows to incorporate unobserved heterogeneity in the choice process in a very natural way, a feature not previously possible. The method presented in the paper is general enough to estimate models of internal and external migration. We apply our framework to estimate a panel data model where immigrants can choose whether to stay or leave a country. The model is estimated using the German Socio-Economic Panel (GSOEP). Outmigrants are found to have significantly lower labor market earnings and work propensities than permanent migrants.
dc.language eng
dc.publisher
dc.relation IZA Discussion paper series 1065
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject J24
dc.subject J61
dc.subject ddc:330
dc.subject outmigration
dc.subject identification
dc.subject panel data models
dc.subject Auswanderung
dc.subject Binnenwanderung
dc.subject Erwerbstätigkeit
dc.subject Lohn
dc.subject Panel
dc.subject Nichtparametrisches Verfahren
dc.subject Ökonometrisches Modell
dc.subject Schätzung
dc.subject Theorie
dc.subject Deutschland
dc.title Identification and Estimation of Economic Models of Outmigration Using Panel Attrition
dc.type doc-type:workingPaper


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