2016
DOI: 10.1016/j.labeco.2015.12.001
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Recovering the counterfactual wage distribution with selective return migration

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 19 publications
(49 citation statements)
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“…If we used information from a single census round on migrants who have been in the US for a long time, we would not be able to reconstruct a migrant's network at the time of arrival. Moreover, as shown by Biavaschi () and Campos‐Vazquez and Lara (), selective out‐migration of more successful migrants would lead to an underestimation of the success of migrants. With the focus on recent migrants, we can only measure their short‐term success, although this enables us to obtain a more precise measure of their network, and base the estimation on a less selective sample.…”
Section: Data and Measurementmentioning
confidence: 99%
“…If we used information from a single census round on migrants who have been in the US for a long time, we would not be able to reconstruct a migrant's network at the time of arrival. Moreover, as shown by Biavaschi () and Campos‐Vazquez and Lara (), selective out‐migration of more successful migrants would lead to an underestimation of the success of migrants. With the focus on recent migrants, we can only measure their short‐term success, although this enables us to obtain a more precise measure of their network, and base the estimation on a less selective sample.…”
Section: Data and Measurementmentioning
confidence: 99%
“…Borjas, 1985). Recent papers by Abramitzky, Boustan and Eriksson (2014) and Biavaschi (2016), try to circumvent the out-migration selectivity challenge by using repeated census data of both sending and host countries. 2 However, this is problematic if not all migrants (returnees) are identified in the host (sending) country census and different definitions of migrant/returnee or education are used in the sending and host country.…”
Section: Theoretical and Empirical Backgroundmentioning
confidence: 99%
“…This same caveat applies to Venturini and Villosio (2008) and Faini, Strom, Venturini, and Villosio (2009), who use a similar framework for Italy. Biavaschi (2013), working with U.S. data, challenges the view that emigration is negatively selective. She formulates a selection model and then, using data from the 2000 U.S. and…”
Section: Studies Using Longitudinal Datamentioning
confidence: 99%