Table A3. FLFP, individual & household characteristics, social norms & attitudes towards <u>women, and local labor market variables in 2018. OLS estimates</u>

||(1)|(2)|(3)|(4)|(5)|
|---|---|---|---|---|---|
|_Individual & household characteristics_||||||
|Age|0.0406<br>|0.0408<br>|0.0408<br>|0.0408<br>|0.0406<br>|
||[0.00102]***|[0.00234]***|[0.00102]***|[0.00232]***|[0.00231]***|
|Age squared|-0.000531|-0.000534|-0.000534|-0.000535|-0.000532|
||[1.53e-05]***|[3.71e-05]***|[1.54e-05]***|[3.68e-05]***|[3.66e-05]***|
|Primary level|0.0215|0.0216|0.0226|0.0213|0.0209|
||[0.00195]***|[0.00296]***|[0.00197]***|[0.00291]***|[0.00290]***|
|Secondary level|0.113|0.113|0.114|0.113|0.111|
||[0.00649]***|[0.0140]***|[0.00643]***|[0.0137]***|[0.0142]***|
|University level|0.3|0.109|0.302|0.302|0.109|
||[0.0126]***|[0.134]|[0.0124]***|[0.0252]***|[0.135]|
|Indigenous person|0.0445|0.0472|0.0427|0.0493|0.0468|
||[0.00662]***|[0.00957]***|[0.00655]***|[0.00865]***|[0.00940]***|
|Married|-0.172<br>|-0.174<br>|-0.173<br>|-0.173<br>|-0.172<br>|
||[0.00461]***|[0.00585]***|[0.00459]***|[0.00596]***|[0.00601]***|
|Number of children 0-3|-0.0395|-0.0399|-0.0398|-0.0399|-0.0397|
||[0.00267]***|[0.00652]***|[0.00267]***|[0.00650]***|[0.00653]***|
|Number of children 4-6|-0.0201<br>|-0.0202<br>|-0.0202<br>|-0.0203<br>|-0.0202<br>|
||[0.00180]***|[0.00445]***|[0.00180]***|[0.00444]***|[0.00446]***|
|Number of children 7-12|-0.00783|-0.00774|-0.00777|-0.00779|-0.00786|
||[0.00103]***|[0.00226]***|[0.00103]***|[0.00226]***|[0.00228]***|
|Number of people > 12|-0.011<br>|-0.0109<br>|-0.011<br>|-0.011<br>|-0.011<br>|
||[0.000423]***|[0.000697]***|[0.000422]***|[0.000694]***|[0.000716]***|
|Presence of grandmother|0.0299|0.0294|0.0291|0.0297|0.0303|
||[0.00209]***|[0.00428]***|[0.00208]***|[0.00416]***|[0.00439]***|
|Household head|0.0992|0.105|0.104|0.105|0.1|
||[0.00381]***|[0.00655]***|[0.00397]***|[0.00663]***|[0.00629]***|
|Spouse works|-0.00907|-0.00684|-0.0089|-0.00725|-0.0079|
||[0.00366]**|[0.00961]|[0.00369]**|[0.00965]|[0.00959]|
|Income stability|0.155|0.156|0.156|0.156|0.155|
||[0.00441]***|[0.0109]***|[0.00445]***|[0.0110]***|[0.0107]***|
|At least one person receives remittances regularly|-0.0664<br>***|-0.0661<br>***|-0.066<br>***|-0.0663<br>***|-0.0666<br>***|
||[0.00250]|[0.00368]|[0.00251]|[0.00370]|[0.00365]|
|Household Home & WASH index|0.00812|0.00827|0.00817|0.00861|0.00896|
||[0.00164]***|[0.00175]***|[0.00161]***|[0.00164]***|[0.00169]***|
|Urban|0.0722<br>|0.0754<br>|0.0729<br>|0.073<br>|0.0732<br>|
||[0.00548]***|[0.00487]***|[0.00550]***|[0.00502]***|[0.00484]***|
|Use internet in the last 3 months|0.113|0.114|0.113|0.114|0.112|
||[0.00412]***|[0.00830]***|[0.00410]***|[0.00795]***|[0.00817]***|
|Washing machine|0.0328|0.034|0.0326|0.0338|0.0331|
||[0.00432]***|[0.00675]***|[0.00429]***|[0.00697]***|[0.00648]***|
|_Social norms & attitudes towards women_||||||
|Women participates in hhld decision making|0.0256||||0.0253|
||[0.00295]***||||[0.00457]***|
|High Wage Female Workers in the Public Sector (department level)||-0.115|||-0.0987|
|||[0.0473]**|||[0.0418]**|
|High Wage Female Workers in the Public Sector (department level) * University level||0.359|||0.357|
|||[0.223]|||[0.224]|
|Cases of intrafamily VAW in the municipality (2017) / 1,000 women 15+ in the municipality|||-0.00121||-0.000455|
||||[0.000463]***||[0.000322]|
|Men-to-all agreement with gender parity in Parliament||||0.112|0.108|
|||||[0.0291]***<br>|[0.0356]***<br>|
|Men-to-all agreement with gender parity among judges||||-0.0206|-0.0143|
|||||[0.0270]|[0.0216]|

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