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Erschienen in: Demography 4/2012

01.11.2012

Repeat Migration and Remittances as Mechanisms for Wealth Inequality in 119 Communities From the Mexican Migration Project Data

verfasst von: Filiz Garip

Erschienen in: Demography | Ausgabe 4/2012

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Abstract

To evaluate the distributional impact of remittances in origin communities, prior research studied how migrants’ selectivity by wealth varies with migration prevalence in the community or prior migration experience of the individual. This study considers both patterns; it examines selectivity separately in low- and high-prevalence communities and for first-time and repeat migrants. Based on data from 18,042 household heads in 119 Mexican communities from the Mexican Migration Project, the analyses show that (1) first-time migrants in low-prevalence communities come from poor households, whereas repeat migrants in high-prevalence communities belong to wealthy households; and (2) higher amounts of remittances reach wealthy households. These results suggest that repeat migration and remittances may be mechanisms for wealth accumulation in the study communities. Descriptive analyses associate these mechanisms with increasing wealth disparities between households with and without migrants, especially in high-prevalence communities. The study, similar to prior findings, shows the importance of repeat migration trips, which, given sustained remittances, may amplify the wealth gap between migrants and nonmigrants in migrant-sending communities. The study also qualifies prior findings by differentiating between low- and high-prevalence communities and observing a growing wealth gap only in the latter.

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Fußnoten
1
Detailed information about the MMP is available online (http://​mmp.​opr.​princeton.​edu). The five communities surveyed as part of the pilot study in 1982 are excluded, as are the data collected nonrandomly from a small number of migrants in the United States.
 
2
Municipality or state average prices are used for communities with missing values.
 
3
The Ejido indicator is missing for five communities. We set the indicator to 0 in these communities to conserve sample size; however, the results remain identical if these communities are excluded from analysis.
 
4
We tested the robustness of our findings to two alternative measures of community distance to the United States: (1) distance to the closest international airport in Mexico, and (2) distance to the closest popular border crossing city, which includes Tijuana or El Paso, TX, prior to 1993; and Laredo, TX, El Centro, CA, and Nogales, AZ, thereafter, according to Orrenius (2006) and Singer and Massey (1998). The former measure takes into account the transportation networks in Mexico, and the latter considers the shifting enforcement zones in the United States. Both measures led to similar results in all models (available upon request).
 
5
Because wage in destination is a critical determinant of remittance behavior, migrants with missing wage information (about one-third of all migrants) are not used in the analysis. Alternative analysis with all the migrants, and without the wage variable, leads to similar wealth coefficient estimates (available upon request).
 
6
The results suggest the potential endogeneity of wealth indicators to migration or remittance outcomes, which may bias the empirical conclusions. To address this issue, we lag the household wealth indicators by one year. This approach does not solve the endogeneity problem if current migration decisions are correlated with past migration, which affects household wealth in the past, or if there are omitted variables related to both wealth and migration. We test for this possibility with a procedure suggested by Spencer and Berk (1981). We estimate two wealth equations (for land and property indicators, separately) with exogenous regressors (past rainfall and real interest rates, which are likely to affect wealth). We then add the residuals from these equations to the migration and remittance models as extra regressors. The coefficients for the regressors are jointly insignificant in both the migration (F statistic = 1.89, p = .39) and remittance (F statistic = 0.16, p = .85) models, and the null hypothesis that the wealth indicators are orthogonal to the errors cannot be rejected. These results suggest that the lagged wealth indicators can be treated as exogenous to current migration and remittance decisions. Crucially, this treatment does not preclude an association between wealth and past migration and remittances, but such an association does not seem to bias our estimates.
 
7
Communities were surveyed in different years by the MMP; therefore, our sample contains a different number of communities in each year. The number of communities is 119 in 1975, drops to 85 in 1995, and then drops further to 48 by 2000. Therefore, we restrict this analysis to the 1975–1995 period, during which the majority of the communities are observed consistently.
 
8
The estimates in Table 5 show that remittances decrease by 6 % per year that a migrant spends in destination. These estimates control for earnings differences among migrants, and therefore are not inconsistent with the raw comparisons presented here.
 
9
Because of the retrospective nature of the data, older—and consequently wealthier—individuals are observed in later years. To assure that the same age group is compared across time, we restrict the analysis to 25- to 45-year-olds in each year.
 
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Metadaten
Titel
Repeat Migration and Remittances as Mechanisms for Wealth Inequality in 119 Communities From the Mexican Migration Project Data
verfasst von
Filiz Garip
Publikationsdatum
01.11.2012
Verlag
Springer US
Erschienen in
Demography / Ausgabe 4/2012
Print ISSN: 0070-3370
Elektronische ISSN: 1533-7790
DOI
https://doi.org/10.1007/s13524-012-0128-6

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