# <u>Table A5. Correlates of male LFP in 2018. OLS estimates</u>

|_Idiidl & hhld htiti_|(1)|(2)|(3)|(4)|(5)|(6)|(7)|
|---|---|---|---|---|---|---|---|
|_nvua ouseo caracerscs_<br>Age|0.00758|0.007|0.007|0.00752|0.00698|0.00764|0.00749|
|Ae suared|[0.000707]***<br>-0000114|[0.000588]***<br>-0000106|[0.000586]***<br>-0000106|[0.000875]***<br>-0000113|[0.000588]***<br>-0000106|[0.000952]***<br>-0000114|[0.000865]***<br>-0000112|
|g q|.<br>[9.38e-06]***|.<br>[7.86e-06]***|.<br>[7.84e-06]***|.<br>[1.23e-05]***|.<br>[7.85e-06]***|.<br>[1.33e-05]***|.<br>[1.22e-05]***|
|Primary level|0.0292|0.0285|0.0285|0.0299|0.0284|0.0297|0.0298|
||[000567]***|[000379]***|[000374]***|[000733]***|[000380]***|[000707]***|[000676]***|
|Secondary level|.<br>0.036<br>|.<br>0.0353<br>|.<br>0.0353<br>|.<br>0.0362<br>|.<br>0.0353<br>|.<br>0.0374<br>|.<br>0.0367<br>|
||[0.00592]***|[0.00500]***|[0.00491]***|[0.00600]***|[0.00503]***|[0.00600]***|[0.00558]***|
|University level|0.0315|0.0313|0.0314|-0.0796|0.0313|0.0319|-0.0627|
|<br>Indigenous person|[0.00615]***<br>0.0147|[0.00543]***<br>-0.00355|[0.00534]***<br>-0.00357|[0.0401]*<br>0.00998|[0.00554]***<br>-0.00376|[0.00538]***<br>0.0113|[0.0395]<br>0.00712|
||[0.00921]|[0.00778]|[0.00778]|[0.0103]|[0.00786]|[0.0104]|[0.00776]|
|Married|00531|00499|005|00529|00499|00529|00509|
|Number of children 0-3|.<br>[0.00399]***<br>-0.000364|.<br>[0.00355]***<br>0.00208|.<br>[0.00376]***<br>0.00208|.<br>[0.00730]***<br>-0.000434|.<br>[0.00355]***<br>0.00208|.<br>[0.00724]***<br>-0.000461|.<br>[0.00653]***<br>-0.000277|
|Number of children 4-6|[0.00162]<br>0.0018<br>|[0.000911]**<br>0.00347<br>***|[0.000909]**<br>0.00347<br>***|[0.00249]<br>0.00174<br>|[0.000910]**<br>0.00348<br>***|[0.00245]<br>0.00169<br>|[0.00235]<br>0.00173<br>|
|Number of children 7-12|[0.00118]<br>0.00136|[0.000757]<br>0.00255|[0.000760]<br>0.00255|[0.00177]<br>0.00125|[0.000758]<br>0.00257|[0.00172]<br>0.00126|[0.00172]<br>0.00109|
||[0.000883]|[0.000601]***|[0.000603]***|[0.00118]|[0.000594]***|[0.00113]|[0.00119]|
|Number of people > 12|-0.00506<br>|-0.00413<br>|-0.00412<br>|-0.00513<br>|-0.00412<br>|-0.00523<br>|-0.0053<br>|
|Presence of grandmother|[0.000662]***<br>-7.42E-05|[0.000455]***<br>0.00119|[0.000458]***<br>0.00119|[0.00115]***<br>-0.000458|[0.000455]***<br>0.00116|[0.00113]***<br>-0.000211|[0.00118]***<br>-9.57E-05|
|<br>|[0.00193]<br>|[0.00163]<br>|[0.00161]<br>|[0.00250]<br>|[0.00162]<br>|[0.00241]<br>|[0.00225]<br>|
|Household head|0.0273<br>[0.00235]***|0.0257<br>[0.00210]***|0.0256<br>[0.00217]***|0.0272<br>[0.00387]***|0.0257<br>[0.00210]***|0.0267<br>[0.00380]***|0.0271<br>[0.00409]***|
|Spouse works|0.00391<br>*|0.00311<br>|0.00312<br>|0.00361<br>|0.00304<br>|0.00323<br>|0.00316<br>|
|Income stability|[0.00221]<br>0.128|[0.00193]<br>0.124|[0.00190]<br>0.124|[0.00473]<br>0.128|[0.00195]<br>0.124|[0.00464]<br>0.129|[0.00459]<br>0.129|
|At least one erson receives remittances reularl|[0.00908]***<br>-00291|[0.00818]***<br>-00273|[0.00817]***<br>-00273|[0.0183]***<br>-00288|[0.00820]***<br>-00273|[0.0185]***<br>-00294|[0.0183]***<br>-00282|
|p gy<br>Household Home & WASH index|.<br>[0.00398]***<br>-2.12E-05|.<br>[0.00334]***<br>0.000316|.<br>[0.00335]***<br>0.000317|.<br>[0.00668]***<br>0.000518|.<br>[0.00334]***<br>0.000302|.<br>[0.00682]***<br>0.000721|.<br>[0.00646]***<br>0.00137|
||[000408]|[000279]|[000279]|[000501]|[000279]|[000487]|[000469]|
|Urban|.<br>0.0408<br>|.<br>0.021<br>|.<br>0.021<br>|.<br>0.0409<br>|.<br>0.0212<br>|.<br>0.038<br>|.<br>0.0363<br>|
|Use internet in the last 3 months|[0.00838]***<br>0.015|[0.00518]***<br>0.0131|[0.00518]***<br>0.0131|[0.00817]***<br>0.0144|[0.00506]***<br>0.0131|[0.00689]***<br>0.0136|[0.00695]***<br>0.0132|
||[000188]***|[000155]***|[000154]***|[000238]***|[000155]***|[000175]***|[000174]***|
|Washing machine<br>_Social norms & attitudes towards women_|.<br>0.00221<br>[0.00264]|.<br>0.00165<br>[0.00204]|.<br>0.00166<br>[0.00205]|.<br>0.0013<br>[0.00310]|.<br>0.00155<br>[0.00201]|.<br>0.00113<br>[0.00348]|.<br>0.00118<br>[0.00315]|
|<br>W ii i hhld dii ki|||0000313||||000269|
|omen partcpates n ecson mang|||-.<br>||||.<br>|
|High Wage Female Workers in the Public Sector (department level)|||[0.00304]|-0.124<br>[0131]|||[0.00362]<br>-0.141<br>[0128]|
|High Wage Female Workers in the Public Sector (department level) * University level||||.<br>0.208<br>[0.0788]**|||.<br>0.176<br>[0.0776]**|
|Cases of intrafamily VAW in the municipality (2017) / 1,000 women 15+|||||-0.000453<br>||0.00226<br>**|
||||||[0.000856]||[0.00101]<br>|
|Men-to-all agreement with gender parity in Parliament||||||0.0943<br>[0.0902]|0.0747<br>[0.0958]|
|Men-to-all agreement with gender parity among judges||||||0075|00736|
|<br>_Local labor markets_||||||.<br>[0.0631]|.<br>[0.0692]|
|Male/Female employment ratio in the municipality|0.009|0.0108|0.0108|0.00676|0.0108|0.00685|0.0052|
|<br>|[0.00427]**<br>|[0.00350]***<br>|[0.00351]***<br>|[0.00478]<br>|[0.00350]***<br>|[0.00565]<br>|[0.00450]<br>|
|Log of municipality GDP per capita|0.0715|0.318|0.318|0.0709|0.319|0.0632|0.0706|
|Crime rate|[0.0250]***<br>1.831<br>|[0.0592]***<br>-4.475<br>|[0.0592]***<br>-4.476<br>|[0.0232]***<br>1.9<br>|[0.0584]***<br>-4.38<br>|[0.0242]**<br>3.578<br>|[0.0242]***<br>3.065<br>|
||[2.396]|[2.719]|[2.722]|[3.128]|[2.684]|[3.434]|[3.522]|
|Share of male employment in primary (municipality)|0.0583<br>[00667]|0.156<br>[00638]**|0.156<br>[00638]**|0.0651<br>[00732]|0.156<br>[00637]**|0.0514<br>[00675]|0.0547<br>[00592]|
|Share of male employment in construction (municipality)|.<br>-0.0877<br>|.<br>0.08<br>|.<br>0.0801<br>|.<br>-0.0689<br>|.<br>0.0822<br>|.<br>-0.116<br>|.<br>-0.112<br>|
||[0.105]|[0.103]|[0.103]|[0.123]|[0.102]|[0.121]|[0.110]|
|Share of male employment in white services (municipality)|-0.307|-0.637|-0.637|-0.327|-0.635|-0.354|-0.433|
|<br>|[0.180]*<br>|[0.182]***<br>|[0.182]***<br>|[0.213]<br>|[0.184]***<br>|[0.177]*<br>|[0.216]*<br>|
|Share of male employment in other services (municipality)|0.0859|0.137|0.137|0.079|0.136|0.0876|0.0801|
|Constant|[0.0769]<br>-0.0626|[0.0637]**<br>-2.207|[0.0637]**<br>-2.207|[0.0672]<br>0.0209|[0.0633]**<br>-2.219|[0.0665]<br>-0.13|[0.0626]<br>-0.0875|
||[0.246]|[0.539]***|[0.540]***|[0.263]|[0.534]***|[0.257]|[0.278]|
|Observations<br>R-squared|1,453,762<br>0087|1,453,762<br>0116|1,453,762<br>0116|1,453,762<br>0088|1,453,762<br>0116|1,453,762<br>0089|1,453,762<br>0092|
|Department fixed effects|.<br>No|.<br>Yes|.<br>Yes|.<br>No|.<br>Yes|.<br>No|.<br>No|
|Clustered std. errors|Municipality|Municipality|Municipality|Department|Municipality|Department|Department|

36