Soe, Khaing Khaing. Factors affecting the timing of first migration : a case study of Kanchanaburi DSS Areas. Master's Degree(Population and Reproductive Health Research). Mahidol University. : Mahidol University, 2009-07-27.
Factors affecting the timing of first migration : a case study of Kanchanaburi DSS Areas
Abstract:
This thesis analyses factors that affect the timing of first migration. Event
history data from residents of Kanchanaburi Demographic Surveillance System
(DSS) are used in the analysis. The use of life history data in migration research is
relatively rare. Three forms of analysis are presented: descriptive, life table
estimates, and discrete-time logistic regression. The life table analysis indicates that
a first migration is more likely to occur with increasing age. Females, the nevermarried,
those who have a primary or lower secondary education, students, those
who are engaged in non-agricultural activities, and those who live in the upland
stratum are the most likely to make a first move at young ages. At the household
level, youth from families with fewer household assets, who live in large families, or
more dependent members, tend to have a lower age of first migration. At the
community level, access to secondary school and bus transportation are associated
with younger age at first migration; whereas availability of factories, public
communication services and better roads in the village are associated with an older
age at first migration. Results from discrete time event history logit models support
several of the hypotheses proposed in the study. The logistic regression analysis
found that all individual characteristics except for sex strongly influenced the timing
of first migration. Among the household variables, only household size had a
significant effect on the timing of first migration. For community factors,
accessibility to lower secondary school, public communication and transportation
services had positive and statistically significant effects on first migration. These
results were largely consistent with the life table estimates. The findings of the
research confirmed many of the hypotheses on first mobility experience. Effect of
age on first migration was statistically significant in all regression models as were
many others variables. Hence, we can conclude that all those variables have direct
effect on the experience of first migration