Table 7: Logit/Multinomial logit regressions: occupational choice (waged/farm self-employed/non-farm self-employed)

||(1)|(2)<br>Bangl|(3)<br>adesh|(4)|(5)|(6)|(7)<br>Nepal|(8)|(9)|(10)|(11)<br>Pakistan|(12)|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
||Logit||Mlogit||Logit||Mlogit||Logit||Mlogit||
|Dependent var./Outcome|Self-<br>emp.|Waged|SE&<br>agri.|SE&<br>nonagri.|Self-<br>emp.|Waged|SE&<br>agri.|SE&<br>nonagri.|Self-<br>emp.|Waged|SE&<br>agri.|SE&<br>nonagri.|
|Return migrant|0.29***|-0.25***|0.03***|0.22***|0.03*|-0.03|0.03***|-0.01|0.13***|-0.12***|0.04***|0.08***|
||(0.01)|(0.01)|(0.01)|(0.01)|(0.02)|(0.02)|(0.01)|(0.02)|(0.01)|(0.01)|(0.01)|(0.01)|
|_Age category (age 20-29 as _|_the refere_|_nce group)_|||||||||||
|Age: 30-39|0.07***|-0.07***|0.04***|0.02***|0.13***|-0.13***|0.02**|0.11***|0.05***|-0.05***|0.02***|0.02***|
||(0.01)|(0.01)|(0.01)|(0.01)|(0.02)|(0.01)|(0.01)|(0.01)|(0.00)|(0.00)|(0.00)|(0.00)|
|Age: 40-49|0.15***|-0.14***|0.10***|0.04***|0.19***|-0.18***|0.06***|0.12***|0.09***|-0.08***|0.06***|0.02***|
||(0.01)|(0.01)|(0.01)|(0.01)|(0.02)|(0.01)|(0.01)|(0.01)|(0.01)|(0.01)|(0.00)|(0.00)|
|Age: 50-59|0.22***|-0.20***|0.15***|0.04***|0.23***|-0.21***|0.08***|0.13***|0.13***|-0.11***|0.10***|0.01**|
||(0.01)|(0.01)|(0.01)|(0.01)|(0.02)|(0.02)|(0.01)|(0.02)|(0.01)|(0.01)|(0.00)|(0.01)|
|_Education level (illiterate a_|_s the refer_|_ence group)_|||||||||||
|Education: Primary|0.08***|-0.08***|0.02***|0.06***|0.07***|-0.08***|0.00|0.07***|0.06***|-0.06***|-0.02***|0.08***|
||(0.01)|(0.01)|(0.01)|(0.01)|(0.02)|(0.02)|(0.01)|(0.01)|(0.00)|(0.00)|(0.00)|(0.00)|
|Education: Lower sec.|0.12***|-0.12***|0.02***|0.10***|0.15***|-0.15***|0.01|0.13***|0.09***|-0.09***|-0.01*|0.10***|
||(0.01)|(0.01)|(0.01)|(0.01)|(0.02)|(0.02)|(0.01)|(0.02)|(0.00)|(0.00)|(0.00)|(0.00)|
|Education: Higher sec.|0.11***|-0.10***|-0.01|0.11***|0.19***|-0.19***|0.01|0.18***|0.06***|-0.07***|-0.01***|0.08***|
||(0.01)|(0.01)|(0.01)|(0.01)|(0.02)|(0.01)|(0.01)|(0.01)|(0.00)|(0.00)|(0.00)|(0.00)|
|Education: Tertiary|-0.08***|0.09***|-0.15***|0.05***|-0.06***|0.09***|-0.13***|0.05**|-0.14***|0.14***|-0.12***|-0.03***|
||(0.02)|(0.02)|(0.01)|(0.01)|(0.02)|(0.03)|(0.02)|(0.02)|(0.01)|(0.01)|(0.01)|(0.01)|
|Rural|||||-0.03***|0.03***|0.04***|-0.07***|-0.01***|-0.05***|0.22***|-0.17***|
||||||(0.01)|(0.01)|(0.01)|(0.01)|(0.00)|(0.00)|(0.00)|(0.00)|
|Married|-0.03**|0.03**|-0.02|-0.01|0.12***|-0.12***|0.02*|0.10***|0.001|-0.006|0.001|0.005|
||(0.02)|(0.01)|(0.01)|(0.01)|(0.02)|(0.02)|(0.01)|(0.02)|(0.01)|(0.01)|(0.00)|(0.00)|
|Head of household|0.08***|-0.07***|0.03***|0.04***|0.11***|-0.10***|0.03***|0.07***|0.20***|-0.20***|0.11***|0.08***|
||(0.01)|(0.01)|(0.01)|(0.01)|(0.01)|(0.01)|(0.01)|(0.01)|(0.01)|(0.01)|(0.00)|(0.00)|
|Household size|0.03***|-0.03***|0.01***|0.01***|0.01***|-0.01**|0.000|0.01***|0.01***|-0.01***|0.001*|0.004***|
||(0.003)|(0.003)|(0.002)|(0.003)|(0.003)|(0.003)|(0.002)|(0.003)|(0.001)|(0.001)|(0.001)|(0.001)|
|Number of dependents|-0.01***|0.01**|-0.01**|-0.003|-0.004|0.004|0.01**|-0.01**|0.01***|-0.004***|0.003***|0.002|
||(0.005)|(0.004)|(0.003)|(0.004)|(0.005)|(0.005)|(0.003)|(0.005)|(0.001)|(0.001)|(0.001)|(0.001)|
|Observations|41459|41459|41459|41459|9459|9459|9459|9459|99613|99613|99613|99613|

_Note:_ Robust standard errors in parentheses. Marginal effects in the Logit/Multinomial logit model are reported. Sample is restricted to _employed_ males aged 20-59. Emp. is short for Employed and SE is short for Self-employed. To combine the HIES and the RMS sample in Column 1, sample weights are applied. Data source: Bangladesh HIES 2016-17 for nonmigrants and RMS 2018-19 for return migrants; Nepal LFS 2017-18; Pakistan LFS 2014-15 and 2017-18. * p _>_ 0.1, ** p _>_ 0.05, *** p _>_ 0.01.