<u>Table 2. Within-country correlates of FLFP in 2018. Robustness checks. OLS estimates</u>

||Wome|n 25-55|Women with<br>|<br>Latino-<br>|Urban areas<br>|
|---|---|---|---|---|---|
||||kid 4-6|barometro 2018|only|
||(1)|(2)|(3)|(4)|(5)|
|_Individual & Household characteristics_||||||
|Age|0.034<br>|0.034<br>|0.0362<br>|0.0408<br>|0.0495<br>|
||[0.000811]***|[0.000809]***|[0.00141]***|[0.00232]***|[0.00104]***|
|Age squared|-0.000433|-0.000434|-0.000476|-0.000534|-0.000654|
||[1.20e-05]***|[1.21e-05]***|[2.10e-05]***|[3.68e-05]***|[1.38e-05]***|
|Primary level|0.0227|0.0226|0.0165|0.0207|0.0250|
||[0.00187]***|[0.00190]***|[0.00206]***|[0.00299]***|[0.00352]***|
|Secondary level|0.115|0.115|0.101|0.113|0.105|
||[0.00703]***|[0.00708]***|[0.00504]***|[0.0137]***|[0.00818]***|
|University level|0.304|0.303|0.310|0.302|0.281|
||[0.0130]***|[0.0131]***|[0.0137]***|[0.0253]***|[0.0113]***|
|Indigenous person|0.0426|0.0416|0.0445|0.0507|0.0560|
||[0.00646]***|[0.00656]***|[0.00672]***|[0.00859]***|[0.0103]***|
|Married|-0.155|-0.155|-0.220|-0.174|-0.163|
||[0.00393]***|[0.00396]***|[0.00509]***|[0.00603]***|[0.00736]***|
|Number of children 0-3|-0.0403<br>|-0.0405<br>|-0.0332<br>|-0.0398<br>|-0.0588<br>|
||[0.00276]***|[0.00280]***|[0.00214]***|[0.00648]***|[0.00291]***|
|Number of children 4-6|-0.0206<br>|-0.00881<br>|-0.0138<br>|-0.0202<br>|-0.0310<br>|
||[0.00186]***|[0.00173]***|[0.00167]***|[0.00443]***|[0.00231]***|
|Number of children 7-12|-0.00736|-0.00741|-0.00566|-0.00766|-0.0134|
||[0.000999]***|[0.00102]***|[0.000865]***|[0.00226]***|[0.00144]***|
|Number of people > 12|-0.0123|-0.0124|-0.00634|-0.0109|-0.0131|
||[0.000430]***|[0.000431]***|[0.000847]***|[0.000697]***|[0.000596]***|
|Presence of grandmother|0.0305|0.0306|0.0230|0.0296|0.0344|
||[0.00226]***|[0.00225]***|[0.00292]***|[0.00420]***|[0.00258]***|
|Household head|0.103|0.102|0.0978|0.104|0.119|
||[0.00386]***|[0.00386]***|[0.00525]***|[0.00672]***|[0.00333]***|
|Spouse works|-0.00507|-0.00496|-0.00671|-0.00746|-0.0216|
||[0.00343]|[0.00342]|[0.00462]|[0.00969]|[0.00466]***|
|Income stability|0.15|0.15|0.128|0.156|0.184|
||[0.00432]***|[0.00432]***|[0.00469]***|[0.0110]***|[0.00327]***|
|At least one person receives remittances regularly|-0.061|-0.0605|-0.0562|-0.0674|-0.0731|
||[0.00248]***|[0.00250]***|[0.00308]***|[0.00370]***|[0.00381]***|
|Household Home & WASH index|0.00841|0.00861|0.00722|0.00747|0.0161|
||[0.00163]***|[0.00163]***|[0.00140]***|[0.00167]***|[0.00403]***|
|Urban|0.072|0.0715|0.0628|0.0748|-|
||[0.00541]***|[0.00554]***|[0.00587]***|[0.00509]***||
|Use internet in the last 3 months|0.114|0.114|0.115|0.114|0.112|
||[0.00411]***|[0.00410]***|[0.00501]***|[0.00810]***|[0.00478]***|
|Washing machine|0.025|0.0247|0.0444|0.0347|0.0286|
||[0.00436]***|[0.00440]***|[0.00453]***|[0.00724]***|[0.00353]***|
|_Social norms & attitudes towards women_||||||
|Men-to-all agreement with gender parity in teams||||0.0416||
|||||[0.0200]**||
|Men-to-all agreement with gender parity in STEM skills||||-0.0453<br>[00274]||
|_Social policy variables_||||.||
|<br>Public preprimary centers per 100 children 4-6 in the municipality (2017)||-0.00873||||
|||[0.00410]**||||
|Public preprimary centers per 100 children 4-6 in the municipality (2017) * Has child 4-6||0.0108||||
|||[0.00170]***||||
|Has child 4-6||-0.0274||||
|||[0.00294]***||||
|Children 4-6 assist to preprimary education|||0.0123|||
||||[0.00161]***|||

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