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Abstract: The authors examine the role of migration networks in determining self-selection patterns of Mexico-U.S. migration. They first present a simple theoretical framework showing how such networks impact on migration incentives at different education levels and, consequently, how they are likely to affect the expected skill composition of migration. Using survey data from Mexico, the authors then show that the probability of migration is increasing with education in communities with low migrant networks, but decreasing with education in communities with high migrant networks. This is consistent with positive self-selection of migrants being driven by high migration costs, and with negative self-selection of migrants being driven by lower returns to education in the U.S. than in Mexico.
The authors examine the role of migration networks in determining self-selection patterns of Mexico-U.S. migration. They first present a simple theoretical framework showing how such networks impact on migration incentives at different education levels and, consequently, how they are likely to affect the expected skill composition of migration. Using survey data from Mexico, the authors then show that the probability of migration is increasing with education in communities with low migrant networks, but decreasing with education in communities with high migrant networks. This is consistent with positive self-selection of migrants being driven by high migration costs, and with negative self-selection of migrants being driven by lower returns to education in the U.S. than in Mexico.
The authors examine the role of migration networks in determining self-selection patterns of Mexico-U.S. migration. They first present a simple theoretical framework showing how such networks impact on migration incentives at different education levels and, consequently, how they are likely to affect the expected skill composition of migration. Using survey data from Mexico, the authors then show that the probability of migration is increasing with education in communities with low migrant networks, but decreasing with education in communities with high migrant networks. This is consistent with positive self-selection of migrants being driven by high migration costs, and with negative self-selection of migrants being driven by lower returns to education in the U.S. than in Mexico.
From debates on Capitol Hill to the popular media, Mexican immigrants are the subject of widespread controversy. By 2003, their growing numbers accounted for 28.3 percent of all foreign-born inhabitants of the United States. Mexican Immigration to the United States analyzes the astonishing economic impact of this historically unprecedented exodus. Why do Mexican immigrants gain citizenship and employment at a slower rate than non-Mexicans? Does their migration to the U.S. adversely affect the working conditions of lower-skilled workers already residing there? And how rapid is the intergenerational mobility among Mexican immigrant families? This authoritative volume provides a historical context for Mexican immigration to the U.S. and reports new findings on an immigrant influx whose size and character will force us to rethink economic policy for decades to come. Mexican Immigration to the United States will be necessary reading for anyone concerned about social conditions and economic opportunities in both countries.
First Published in 1999. This book evaluates the influence of migration networks and human capital accumulation on Mexican migration to the United States. Because these two factors directly affect the costs and benefits of migration, they have a tremendous impact on Mexican migration. They shape its composition, determine its size, and regulate its pace.
Although the demand for low skilled labor in the United States has long been identified with the flow of migration from Mexico, the associated supply conditions of this migration remain a relatively neglected topic of research. Using a national migration survey (ENEFNEU), three determinants of the propensity for individual temporary migration from Mexico to United States are examined: individual characteristics, structural characteristics of the region of origin, and historical migration patterns. The levels and changes in patterns of temporary migration during the 1974-78 period are investigated, including consideration of the development of new source regions in Mexico. Previously developed migration networks are found to play a key role in explaining more current patterns of temporary migration.
This paper uses data from the Mexican Family Life Survey (MxFLS) to examine the patterns of selection of male, Mexican migrants to the United States. We confirm previous findings that Mexican migrants are selected from the middle of the education distribution, but show that there is no evidence for selection of migrants on cognitive ability. We demonstrate that migrants are also selected from the middle of the observed skill distribution, as measured by predicted wages. However, controlling for proxies of the costs of migration, we find substantially less evidence of "intermediate selection" on observed skill. We find little evidence for selection on unobserved skill, with or without controls for the costs of migration. Finally, we show directly that the decision to migrate is highly correlated with differential returns to observable skill and the costs of migration. Overall, these findings are consistent with the predictions of the canonical model of migration.
A household's decision to send migrants is based on information it has on the entry costs, expected returns, and risks of migration. Information and assistance flow from both family migrant networks and community migrant networks. Using data from a national survey of rural Mexican households, we show the importance of networks in both the decision to migrate and the level of migration. We find that community and family networks are substitutes in assisting migration, suggesting that, once migration is well established in a community, family networks become less important. In addition, the development of strong community networks erases the role of household characteristics in migration, allowing those initially least favored to also participate in migration. Finally, we show that network density at points of destination in the United States strongly affects where individuals choose to migrate.