Why Is the Roy-Borjas Model Unable to Predict International Migrant Selection on Education? Evidence from Urban and Rural Mexico
Stefan Leopold, Jens Ruhose, Simon Wiederhold
World Economy,
forthcoming
Abstract
The Roy-Borjas model predicts that international migrants are less educated than nonmigrants because the returns to education are generally higher in developing (migrant-sending) than in developed (migrant-receiving) countries. However, empirical evidence often shows the opposite. Using the case of Mexico-U.S. migration, we show that this inconsistency between predictions and empirical evidence can be resolved when the human capital of migrants is assessed using a two-dimensional measure of occupational skills rather than by educational attainment. Thus, focusing on a single skill dimension when investigating migrant selection can lead to misleading conclusions about the underlying economic incentives and behavioral models of migration.
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IWH Alumni The IWH maintains contact with its former employees worldwide. We involve our alumni in our work and keep them informed, for example, with a newsletter. We also plan…
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People Doctoral Students PhD Representatives Alumni Supervisors Lecturers Coordinators Doctoral Students Afroza Alam (Supervisor: Reint Gropp ) Julian Andres Diaz Acosta…
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Brown Bag Seminar Financial Markets Department The seminar series "Brown Bag Seminar" was offered on a regular basis by members of the Financial Markets department and their…
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Why Is the Roy-Borjas Model Unable to Predict International Migrant Selection on Education? Evidence from Urban and Rural Mexico
Stefan Leopold, Jens Ruhose, Simon Wiederhold
Abstract
The Roy-Borjas model predicts that international migrants are less educated than nonmigrants because the returns to education are generally higher in developing (migrant-sending) than in developed (migrant-receiving) countries. However, empirical evidence often shows the opposite. Using the case of Mexico-U.S. migration, we show that this inconsistency between predictions and empirical evidence can be resolved when the human capital of migrants is assessed using a two-dimensional measure of occupational skills rather than by educational attainment. Thus, focusing on a single skill dimension when investigating migrant selection can lead to misleading conclusions about the underlying economic incentives and behavioral models of migration.
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People
People Job Market Candidates Doctoral Students PhD Representatives Alumni Supervisors Lecturers Coordinators Job Market Candidates Tommaso Bighelli Job market paper: "The…
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International Emigrant Selection on Occupational Skills
Miguel Flores, Alexander Patt, Jens Ruhose, Simon Wiederhold
Journal of the European Economic Association,
No. 2,
2021
Abstract
We present the first evidence on the role of occupational choices and acquired skills for migrant selection. Combining novel data from a representative Mexican task survey with rich individual-level worker data, we find that Mexican migrants to the United States have higher manual skills and lower cognitive skills than nonmigrants. Results hold within narrowly defined region–industry–occupation cells and for all education levels. Consistent with a Roy/Borjas-type selection model, differential returns to occupational skills between the United States and Mexico explain the selection pattern. Occupational skills are more important to capture the economic motives for migration than previously used worker characteristics.
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Determinants of Illegal Mexican Immigration into the US Southern Border States
A. Buehn, Stefan Eichler
Eastern Economic Journal,
No. 4,
2013
Abstract
We model illegal immigration across the US-Mexico border into Arizona, California, and Texas as an unobservable variable applying a Multiple Indicators Multiple Causes model. Using state-level data from 1985 to 2004, we test the incentives and deterrents influencing illegal immigration. Better labor market conditions in a US state and worse in Mexico encourage illegal immigration while more intense border enforcement deters it. Estimating the state-specific inflow of illegal Mexican immigrants we find that the 1994/95 peso crisis in Mexico led to significant increases in illegal immigration. US border enforcement policies in the 1990s provided temporary relief while post-9/11 re-enforcement has reduced illegal immigration.
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Smuggling Illegal Goods Across the US–Mexico Border: A Political-economy Perspective
A. Buehn, Stefan Eichler
Applied Economics Letters,
No. 12,
2012
Abstract
We analyse the impact that political business cycles and party preferences have on smuggling illegal goods across the US–Mexico border during the years 1980–2004. We find that smuggling is significantly reduced prior to Congressional elections – but only if the incumbent President is Republican.
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Smuggling Illegal versus Legal Goods across the U.S.-Mexico Border: A Structural Equations Model Approach
A. Buehn, Stefan Eichler
Southern Economic Journal,
No. 2,
2009
Abstract
We study the smuggling of illegal and legal goods across the U.S.-Mexico border from 1975 to 2004. Using a Multiple Indicators Multiple Causes (MIMIC) model we test the microeconomic determinants of both smuggling types and reveal their trends. We find that illegal goods smuggling decreased from $116 billion in 1984 to $27 billion in 2004 as a result of improved labor market conditions in Mexico and intensified U.S. border enforcement. Smuggling legal goods is motivated by tax and tariff evasion. While export misinvoicing fluctuated at low levels, import misinvoicing switched from underinvoicing to overinvoicing after Mexico's accession to the GATT and the North American Free Trade Agreement (NAFTA) induced lower tariffs.
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