TY - JOUR
T1 - Gendered Migrant Social Capital
T2 - Evidence from Thailand
AU - Curran, Sara R.
AU - Garip, Filiz
AU - Chung, Changy
AU - Tangchonlatip, Kanchana
N1 - Funding Information:
The authors are grateful for the support of the Program in Urbanization and Migration at Princeton University for a research fellowship to Tangchonlatip and to the Center for Migration and Development for summer research support to Curran, Garip and Chung. This research could not have been completed without the data collection efforts of the research team from the Carolina Population Center at the University of North Carolina and the Institute for Population and Social Research at Mahidol University and the cooperation of the villagers of Nang Rong district, Buriram province, Thailand. We are extremely grateful to all of them for their work and contribution. German Rodriguez provided excellent statistical advice regarding all of our statistical evaluations, modeling approaches, and interpretations of effects. Melanie Adams provided invaluable editorial assistance and technical support in the preparation of this manuscript. Direct correspondence to Sara Curran, Jackson School of International Studies, Thomson Hall, University of Washington, Seattle, WA 98195-3650. E-mail: [email protected].
PY - 2005/9
Y1 - 2005/9
N2 - Employing longitudinal data from Thailand to replicate studies of cumulative causation, we extend current knowledge by measuring frequency of trips, duration of time away, level of network aggregation (village or household), and sex composition of migrant networks to estimate a model of prospective migration among men and women in Thailand. We find that trips and duration of time away have distinct influences upon migration; that household level migrant networks are more influential than village level migrant networks; that female migrant networks and male migrant networks have different influences upon migration outcomes; and, that migrant social capital influences men and women's migration differently. Our elaboration provides significant quantitative evidence as to how gender and family variously imbue migration dynamics.
AB - Employing longitudinal data from Thailand to replicate studies of cumulative causation, we extend current knowledge by measuring frequency of trips, duration of time away, level of network aggregation (village or household), and sex composition of migrant networks to estimate a model of prospective migration among men and women in Thailand. We find that trips and duration of time away have distinct influences upon migration; that household level migrant networks are more influential than village level migrant networks; that female migrant networks and male migrant networks have different influences upon migration outcomes; and, that migrant social capital influences men and women's migration differently. Our elaboration provides significant quantitative evidence as to how gender and family variously imbue migration dynamics.
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U2 - 10.1353/sof.2005.0094
DO - 10.1353/sof.2005.0094
M3 - Review article
C2 - 27053819
AN - SCOPUS:27144507294
SN - 0037-7732
VL - 84
SP - 225
EP - 255
JO - Social Forces
JF - Social Forces
IS - 1
ER -