. Author manuscript; available in PMC: 2014 Jul 27.

Published in final edited form as: Popul Res Policy Rev. 2009 Oct 2;29(5):659–685. doi: 10.1007/s11113-009-9165-2

Table 4.

Random effects logistic estimation of odds of being a migrant in a year models by quintiles of the migration index (data collected from 13 to 41 year olds in 22 villages in Nang Rong, Thailand in 1984–2000)

Quintiles	Migration history in community
Quintiles	I	II	III	IV	V
Individual characteristics
Age	1.15^**	1.09^#,^***	1.03^#, ^***	0.98^#, ^**	0.90^***
Sex (male = 1)	2.74^***	1.95^#, ^***	1.60^***	1.34^#, ^**	1.23^#
Education (in years)	1.48^***	1.50^***	1.44^#, ^***	1.43^#, ^***	1.50^#, ^***
Married	0.10^***	0.13^#, ^***	0.18^#, ^***	0.24^#, ^***	0.46^#, ^***
Land (in rai)	0.98^***	0.98^***	0.99^#, ^***	0.99^#, ^**	1.00^#
Village characteristics
Village remote?	0.63^**	1.05	1.06	1.10	1.39^#, ^**
Migrant follow-up rate	1.06^***	1.03^***	1.05^***	1.05^***	1.03^*
Migration context of the community
Migrant trips in the community	1.89	2.82^#, ^*	2.69^**	1.89	2.58^#, ^***
Inequality of migrant trips	0.76	0.40^**	0.75	0.30^**	0.19^***
Thai Economic Context
Unemployment rate (%)	1.18	0.95	1.05	0.73^***	0.61^***
Annual GDP growth (%)	1.01	1.00	1.03^**	1.03	1.12^***
Productivity-wage gap in agriculture (%)	1.00	1.00	1.01^**	1.03^***	1.05^***
Wage ratio (Bangkok/Northeast)	1.53	1.20	2.78^***	5.63^***	45.56^***
Employment in manufacturing (%)	1.08	0.90	1.53^***	1.38^***	1.62^**
Wald χ²	6,600^***	7,951^***	9,098^***	10,593^***	9,663^***
N (person-years)	17,806	21,799	24,443	25,192	22,428

Year and constant are included in all models. Results are presented in odds ratios. Migration experience and inequality are standardized to mean 0, SD 1

p <0.1,

^**

p <0.05,

^***

p <0.01

p <0.1 (test of difference between coefficients of subsequent quintile models)