/MIT, and the CEPR/PODER conference for helpful comments and suggestions. Anita Bhide, Allan Hsiao and Jay Lee provided outstanding research assistance. Any errors are our own. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.
for helpful comments and discussion. I have also benefited from participants at seminars and from discussions with people at many institutions that are too numerous to mention. I am appreciative of the hospitality and assistance from Cynthia Bantilan and staff at the ICRISAT headquarters in Patancheru, India. Anita Bhide provided excellent research assistance. ABSTRACTWhen people can self-insure via migration, they may have less need for informal risk sharing. At the same time, informal insurance may reduce the need to migrate. To understand the joint determination of migration and risk sharing I study a dynamic model of risk sharing with limited commitment frictions and endogenous temporary migration. First, I characterize the model. I demonstrate theoretically how migration may decrease risk sharing. I decompose the welfare effect of migration into the change in income and the change in the endogenous structure of insurance. I then show how risk sharing alters the returns to migration. Second, I structurally estimate the model using the new (2001)(2002)(2003)(2004) ICRISAT panel from rural India. The estimation yields: (1) improving access to risk sharing reduces migration by 21 percentage points; (2) reducing the cost of migration reduces risk sharing by 8 percentage points;(3) contrasting endogenous to exogenous risk sharing, the consumption-equivalent gain from reducing migration costs is 18.9 percentage points lower. Third, I introduce a rural employment scheme. The policy reduces migration and decreases risk sharing. The welfare gain of the policy is 55-70% lower after household risk sharing and migration responses are considered
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 der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. Terms of use: Documents in D I S C U S S I O N P A P E R S E R I E SIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. Two of the most salient trends surrounding the issue of migration and development over the last two decades are the large rise in remittances, and an increased flow of skilled migration. However, recent literature based on cross-country regressions has claimed that more educated migrants remit less, leading to concerns that further increases in skilled migration will hamper remittance growth. We revisit the relationship between education and remitting behavior using microdata from surveys of immigrants in eleven major destination countries. The data show a mixed pattern between education and the likelihood of remitting, and a strong positive relationship between education and the amount remitted conditional on remitting. Combining these intensive and extensive margins gives an overall positive effect of education on the amount remitted. The microdata then allow investigation as to why the more educated remit more. We find the higher income earned by migrants, rather than characteristics of their family situations explains much of the higher remittances. JEL Classification:O15, F22, J61
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