Gender, Values, and Intentions to Move in Rural Thailand

Gf, De Jong; Richter, Kerry; Isarabhakdi, Pimonpan

doi:10.2307/2547635

Cited by 50 publications

(39 citation statements)

References 12 publications

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“…Our main specification considers the revealed migration preference for a specific destination country . This may be a strong assumption (De Jong, 2000, De Jong et al, 1996 which is relaxed when we analyze the overall migration potential (rather than bilateral) by aggregating all potential migrants in a country of origin. Allowing for heterogeneity in preferences across individuals, but assuming that all individuals (i) value income from higher wages and higher probability of employment, and (ii) incur higher costs when moving farther and to more different countries, implies that -after controlling for country of origin characteristics -the share of people who would potentially migrate from  to  among all individuals,    , depends positively on the returns and negatively on the costs of migrating from  to  (see Borjas, 1987;or Grogger and Hanson, 2011 for a similar framework).…”

Section: Frameworkmentioning

confidence: 99%

The Cross-country Determinants of Potential and Actual Migration

Docquier¹,

Peri²,

Ruyssen³

2016

World Scientific Studies in International Economics

135

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In this study we use cross-country bilateral data to quantify a twostep process of international migration and its aggregate determinants. We first analyze which country-specific factors affect the probability that individuals join the pool of potential (aspiring) migrants. Then we consider the bilateral and destination country factors that affect the frequency at which potential migrants turn into actual migrants. Using information on potential migrants from World Gallup surveys and on actual migrants from national censuses for 138 origin countries and 30 major destinations between 2000 and 2010, we analyze economic, policy, cultural and network determinants of each step. We find that the size of the network of previous migrants and the average income per person at destination are crucial determinants of the size of the pool of potential migrants. Economic growth in the destination country, on the other hand, is the main economic generator of migration opportunities for a given pool of potential migrants. We also find that college educated exhibit greater actual emigration rates mainly * We thank the editors and three referees for their helpful remarks and suggestions. We acknowledge financial support from the ARC convention on "Geographical Mobility of Factors" (convention 09/14-019). We also gratefully thank Robert Manchin and the Gallupinitiated Institute for Advanced Behavioural Studies for allowing us access to the data for research purposes. Correspondence: Frédéric Docquier (frederic.docquier@uclouvain.be), Giovanni Peri (gperi@ucdavis.edu) and Ilse Ruyssen (ilse.ruyssen@uclouvain.be). 1 because of better chances in realizing their immigration potentials, rather than because of higher willingness to migrate.

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Section: Frameworkmentioning

confidence: 99%

The Cross-country Determinants of Potential and Actual Migration

Docquier¹,

Peri²,

Ruyssen³

2016

World Scientific Studies in International Economics

135

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“…These women were not moving to urban areas for marriage. Theirs were economically motivated moves, primarily to help support their family of origin's household economy (De Jong, Richter, et al 1996).…”

Section: Thailand: Gender Migration and Distinctions Across Migrant mentioning

confidence: 99%

“…Further, patterns of marriage and settlement adjudicate against strong household ties with sons and tend towards strong ties with daughters, especially in Northeastern Thailand (Blanc-Szanton 1990;De Jong, Richter, et al 1996;Yoddumnern-Attig 1992). Thai households are matrilocal.…”

Section: Thailand: Gender Migration and Distinctions Across Migrant mentioning

confidence: 99%

Gendered Migrant Social Capital: Evidence from Thailand

et al. 2005

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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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“…But the studies do not explore network effects, as we understand them, where a migrant's remittance behavior may depend on that behavior's prevalence in her social group. This gap is all the more surprising given the plethora of empirical work in the larger migration literature, which establishes how individuals' migration behavior depends on that behavior in their families or communities (Curran et al 2005;Davis, Stecklov and Winters 2002;De Jong, Richter and Isarabhakdi 1996;Garip 2008;Massey and García-España 1987;Winters, Janvry and Sadoulet 2001). Prior migrants in the family or community, the argument goes, provide resources or normative pressures that increase individuals' likelihood of migration.…”

Section: A Network Explanation For Remittance Behaviormentioning

confidence: 99%

Network Effects in Migrant Remittances

Garip

Eskici

Snyder

2015

American Behavioral Scientist

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Migrant remittances comprise an important capital source for developing countries. Research to date connects migrants' remittance behavior to altruism, exchange, insurance, and investment motives or to a desire to maintain options available through origin communities. This study provides an alternative 'network' perspective: remittance behavior may depend on the remitting patterns of those in one's social ties: (a) to members of the origin household, (b) to members of 'sibling' households, where a member of the ego household has a sibling, and (c) to members of the origin village. We explore this idea using complete census data from 51 villages in Nang Rong, where one in four residents migrated to internal destinations in either 1994 or 2000, and about half of those migrants remitted to their origin households. We find preliminary evidence on network effects: migrants' likelihood of remitting increases with the number of remitters in the household and with the share of remitters in the village, net of other determinants of remittance behavior, village and year fixed effects, and other potential confounders. We provide additional evidence that connects the former pattern to inheritance-seeking behavior in the household, and the latter to shared norms in the village.

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Gender, Values, and Intentions to Move in Rural Thailand

Cited by 50 publications

References 12 publications

The Cross-country Determinants of Potential and Actual Migration

The Cross-country Determinants of Potential and Actual Migration

Gendered Migrant Social Capital: Evidence from Thailand

Network Effects in Migrant Remittances

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