This article investigates how migrant social capital differentially influences individuals’ migration and cumulatively generates divergent outcomes for communities. To combine the fragmented findings in the literature, the article proposes a framework that decomposes migrant social capital into resources (information about or assistance with migration), sources (prior migrants), and recipients (potential migrants). Analysis of multilevel and longitudinal data from 22 rural villages in Thailand shows that the probability of internal migration increases with the available resources, yet the magnitude of increase depends on recipients’ characteristics and the strength of their ties to sources. Specifically, individuals become more likely to migrate if migrant social capital resources are greater and more accessible. The diversity of resources by occupation increases the likelihood of migration, while diversity by destination inhibits it. Resources from weakly tied sources, such as village members, have a higher effect on migration than resources from strongly tied sources in the household. Finally, the importance of resources for migration declines with recipients’ own migration experience. These findings challenge the mainstream account of migrant social capital as a uniform resource that generates similar migration outcomes for different groups of individuals or in different settings. In Nang Rong villages, depending on the configuration of resources, sources, and recipients, migrant social capital leads to differential migration outcomes for individuals and divergent cumulative migration patterns in communities.
A newer version of this paper was published on Demography, August 2008.
This paper investigates how migrant social capital differentially influences individuals’ migration and cumulatively generates divergent outcomes for communities. To combine the fragmented findings in the literature, the paper proposes a framework that decomposes migrant social capital into resources (information about or assistance with migration), sources (prior migrants), and recipients (potential migrants). Analysis of multi-level and longitudinal data from 22 rural villages in Thailand shows that the probability of internal migration increases with the available resources, yet the magnitude of increase depends on recipients’ characteristics and the strength of their ties to sources. Specifically, individuals become more likely to migrate if migrant social capital resources are greater and more accessible. The diversity of resources by occupation increases the likelihood of migration, while diversity by destination inhibits it. Resources from weakly-tied sources, such as village members, have a higher effect on migration than resources from strongly-tied sources in the household. Finally, the importance of resources for migration declines with recipients’ own migration experience. These findings challenge the mainstream account of migrant social capital as a uniform resource that generates similar migration outcomes for different groups of individuals or in different settings. In Nang Rong villages, depending on the configuration of resources, sources and recipients, migrant social capital leads to differential migration outcomes for individuals and divergent cumulative migration patterns in communities.
Sociological research often examines the effects of social context with hierarchical models. In these applications, individuals are nested in social contexts—like school classes, neighborhoods or villages—whose effects are thought to shape individual outcomes. Although applications of hierarchical models are common in sociology, analysis usually focuses on inference for fixed parameters. Researchers seldom study model fit or examine aggregate patterns of variation implied by model parameters. We present an analysis of Thai migration data, in which survey respondents are nested within villages and report annual migration information. We study a variety of hierarchical models, investigating model fit with DIC and posterior predictive statistics. We also describe a simulation to study how different initial distributions of migration across villages produce increasing inter-village inequality in migration.
Download PDFPrevious working paper version titled "Bayesian Analysis of Comparative Survey Data" dated April 2005.