Essays in Unauthorized Immigration and Migration
Item
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Title
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Essays in Unauthorized Immigration and Migration
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Identifier
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d_2009_2013:ff3302cee7c4:11391
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identifier
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11775
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Creator
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Weeraratne, Bilesha B.,
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Contributor
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David Jaeger
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Date
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2012
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Language
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English
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Publisher
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City University of New York.
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Subject
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Economics | Labor economics | Demography | Development | Immigration | Internal migration | Microdata-based | Sri Lanka | Unauthorized immigration
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Abstract
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This dissertation consists of three essays. The first essay develops a new methodology defined as the microdata-based methodology to identify unauthorized immigrants in the US. This identification is based on a discrete choice model on observed authorized and unauthorized immigrant data in 1986 with adjustments for time dynamics between 1986 and 2010 and for calibration in new data. This method produces an algorithm to identify unauthorized immigrants in the American Community Survey (ACS) 2010, and estimates that there were 7,700,869 adult unauthorized immigrants in the US on January 1, 2011. The essay includes detailed descriptive analyses of unauthorized immigrants and their children.;In the second essay, I evaluate the impact of parents' legal status on the high school drop out probability of 16--18 year old children. The analysis uses data from the ACS 2010, and the methodology is a linear probability model. The study finds that when controlling for other covariates, a child of unauthorized immigrants has a lower drop out probability than a similar child of authorized immigrant parents, and among unauthorized immigrant parents, a non-citizen child has a higher drop out probability than a similar native-born child. In mixed families, among unauthorized immigrant mothers, a non-citizen child has a higher drop out probability than an otherwise similar native-born child, and children with the parent combination of highly unauthorized and highly legal immigrants have a higher high school drop out probability than those with highly unauthorized and unsure legal immigrant parents.;In the third essay, I estimate a multinomial logit model to analyze the contextual determinants of labor migration in Sri Lanka, using data from the Consumer Finance and Socio Economic Survey 2003/4 of the Central Bank of Sri Lanka. The study finds higher internal migration probabilities for residents of rural areas, districts with a lower degree of structural transformation, and districts with a larger share of population in 19--34 years. Internal migration probabilities are lower for residents of districts with large labor forces.
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Type
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dissertation
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Source
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2009_2013.csv
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degree
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Ph.D.
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Program
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Economics
