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Essays on Internal Migration in Developing Countries

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dc.contributor.advisor Montgomery, Mark R en_US
dc.contributor.author Gurevich, Tamara en_US
dc.contributor.other Department of Economics en_US
dc.date.accessioned 2017-09-20T16:52:38Z
dc.date.available 2017-09-20T16:52:38Z
dc.date.issued 2016-12-01 en_US
dc.identifier.uri http://hdl.handle.net/11401/77406 en_US
dc.description 91 pgs en_US
dc.description.abstract This thesis investigates the determinants and implications of migration decisions made by individuals in households, using Indonesia as a case study. The thesis consists of two chapters. In each chapter I study respectively the effects of local recent flood events on individuals' and households' decision to leave their origin community, and the effects such migration decisions may have on subsequent health of migrant household members. In chapter 2 of this dissertation, I quantify the effect of migration on subsequent health of migrants using a potential outcomes framework design that exploits exogenous impacts of floods on migration to reduce concerns regarding potential endogeneity of migration decisions. I focus on six often-used measurements of physical and general health that are potentially modifiable over short periods of time. I construct a latent class model of joint probabilities of the six health measures in which individuals are assumed to belong to one of two health classes: healthy or unhealthy. I estimate the model using data from the Indonesian Family Life Survey, an ongoing longitudinal survey of households and individuals in Indonesia. I find that migration last year has no effect on health, and that individuals who migrated two or more years ago as a result of a flood are 20 percent more likely to be in poor health than their non-migrant counterparts. In chapter 3, I investigate the effects of recent local floods on probability of out-migration from affected communities. Using the dataset described above, I construct a 16-year panel to examine migration decision-making of individuals and households. I employ logistic modeling technique to find that individuals are six percentage points less likely to leave a community that has recently experienced a flood. Households residing in affected communities are eight percentage points less likely to send out at least one migrant following a flood. This result is important to individuals and policy-makers when directing disaster recovery efforts. Chapter 2 is a joint work with Partha Deb, who originally proposed the project and provided research guidance. The execution of the project, including data cleaning, computation and interpretation of the results, and writing of the final draft of the paper are all mine. en_US
dc.description.sponsorship This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree. en_US
dc.format Monograph en_US
dc.format.medium Electronic Resource en_US
dc.language.iso en_US en_US
dc.publisher The Graduate School, Stony Brook University: Stony Brook, NY. en_US
dc.subject.lcsh Economics en_US
dc.title Essays on Internal Migration in Developing Countries en_US
dc.type Dissertation en_US
dc.mimetype Application/PDF en_US
dc.contributor.committeemember Benitez-Silva, Hugo en_US
dc.contributor.committeemember Sanderson, Warren en_US
dc.contributor.committeemember Deb, Partha en_US

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