Table 5: Logit/Multinomial logit regressions: Labor market status, _nonmigrants_ only

||(1)|(2)<br>Bangl|(3)<br>adesh|(4)|(5)|(6)<br>Ne|(7)<br>pal|(8)|(9)|(10)<br>Pak|(11)<br>istan|(12)|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
||Logit||Mlogit||Logit||Mlogit||Logit||Mlogit||
|||Out of|Un-|||Out of|Un-|||Out of|Un-||
|Dependent var.|Emp.|Mkt.|emp.|Emp.|Emp.|Mkt.|emp.|Emp.|Emp.|Mkt.|emp.|Emp.|
|_Age category (age 20_|_-29 as the r_|_eference grou_|_p)_||||||||||
|Age: 30-39|0.007**|-0.013***|0.004*|0.010**|0.099***|-0.065***|-0.025***|0.090***|0.023***|-0.028***|-0.008***|0.036***|
||(0.004)|(0.004)|(0.002)|(0.005)|(0.013)|(0.012)|(0.005)|(0.012)|(0.002)|(0.003)|(0.001)|(0.003)|
|Age: 40-49|-0.013***|0.017***|-0.001|-0.016***|0.046***|0.004|-0.044***|0.040***|-0.003|0.013***|-0.008***|-0.005|
||(0.004)|(0.005)|(0.003)|(0.006)|(0.013)|(0.012)|(0.006)|(0.012)|(0.002)|(0.003)|(0.002)|(0.004)|
|Age: 50-59|-0.068***|0.083***|-0.002|-0.082***|-0.090***|0.135***|-0.060***|-0.074***|-0.047***|0.074***|-0.007***|-0.068***|
||(0.004)|(0.005)|(0.003)|(0.006)|(0.014)|(0.013)|(0.008)|(0.013)|(0.002)|(0.003)|(0.002)|(0.004)|
|_Education level (illit_|_erate as the _|_reference gr_|_oup)_||||||||||
|Educ.: Primary|0.035***|-0.046***|0.004|0.042***|0.051***|-0.040***|-0.006|0.046***|0.018***|-0.030***|0.006***|0.024***|
||(0.004)|(0.005)|(0.003)|(0.005)|(0.013)|(0.011)|(0.007)|(0.012)|(0.002)|(0.003)|(0.002)|(0.003)|
|Educ.: Lower sec.|0.014***|-0.032***|0.014***|0.018***|0.094***|-0.084***|-0.001|0.086***|0.003|-0.018***|0.015***|0.003|
||(0.003)|(0.004)|(0.002)|(0.005)|(0.015)|(0.013)|(0.007)|(0.014)|(0.002)|(0.003)|(0.002)|(0.003)|
|Educ.: Higher sec.|-0.045***|0.049***|0.012***|-0.060***|0.085***|-0.081***|0.003|0.078***|-0.045***|0.052***|0.021***|-0.073***|
||(0.003)|(0.004)|(0.003)|(0.004)|(0.012)|(0.011)|(0.006)|(0.011)|(0.001)|(0.002)|(0.001)|(0.002)|
|Educ.: Tertiary|-0.034***|0.027***|0.018***|-0.046***|0.256***|-0.250***|0.004|0.246***|-0.047***|0.032***|0.037***|-0.069***|
||(0.004)|(0.005)|(0.003)|(0.005)|(0.019)|(0.018)|(0.008)|(0.018)|(0.002)|(0.002)|(0.002)|(0.003)|
|Rural|-0.011**|0.019***|-0.005*|-0.015**|-0.099***|0.088***|0.005|-0.093***|0.008***|-0.011***|-0.001*|0.013***|
||(0.005)|(0.006)|(0.002)|(0.006)|(0.009)|(0.008)|(0.004)|(0.008)|(0.001)|(0.002)|(0.001)|(0.002)|
|Married|0.076***|-0.080***|-0.017***|0.098***|0.205***|-0.186***|-0.007|0.193***|0.070***|-0.093***|-0.015***|0.108***|
||(0.003)|(0.004)|(0.002)|(0.004)|(0.013)|(0.012)|(0.005)|(0.012)|(0.002)|(0.002)|(0.001)|(0.002)|
|Head of household|0.118***|-0.126***|-0.027***|0.153***|0.051***|-0.039***|-0.008*|0.048***|0.037***|-0.044***|-0.012***|0.056***|
||(0.003)|(0.004)|(0.002)|(0.005)|(0.011)|(0.010)|(0.005)|(0.010)|(0.002)|(0.003)|(0.002)|(0.003)|
|Household size|-0.000|-0.000|0.000|0.000|0.001|0.001|-0.002*|0.001|-0.001**|0.001**|0.000|-0.001**|
||(0.001)|(0.001)|(0.000)|(0.001)|(0.003)|(0.002)|(0.001)|(0.002)|(0.000)|(0.000)|(0.000)|(0.000)|
|#Dependents|0.004***|-0.004**|-0.001|0.005***|-0.003|-0.000|0.003|-0.003|0.002***|-0.002***|-0.000|0.003***|
||(0.001)|(0.002)|(0.001)|(0.002)|(0.004)|(0.004)|(0.002)|(0.004)|(0.000)|(0.001)|(0.000)|(0.001)|
|Observations|43484|43484|43484|43484|14444|14444|14444|14444|107947|107947|107947|107947|

_Note:_ Robust standard errors in parentheses. Sample is restricted to males aged 20-59. Marginal effects of Logit/Mlogit model are reported. Data source: Bangladesh HIES 2016; Nepal LFS 2017-18; Pakistan LFS 2014-15 and 2017-18. * p _>_ 0.1, ** p _>_ 0.05, *** p _>_ 0.01.