|**Table6a.Busine**|**OLS Regres**<br>**ss Management Pr**|**sion Analysis**<br>**actices**|**Table6b.Business**|**Management Prac**<br>**OLS Regres**|**tices**<br>**sion Analysis**|
|---|---|---|---|---|---|
||**Business**<br>|**Financial**||**Business**<br>|**Financial**|
||**development**<br>**index**<br>|**planning index**<br>||**development**<br>**index**<br>|**planning index**<br>|
||coef/se|coef/se||coef/se|coef/se|
|Female owner|0.007|0.117|Female owner|2.540*|2.371***|
||(0.270)|(0.148)||(1.387)|(0.620)|
|High education|0.899***|0.253|High education|0.911***|0.268|
||(0.254)|(0.178)||(0.258)|(0.179)|
|Small firm (6-10)|0.341|-0.144|Small firm (6-10)|0.272|-0.206|
||(0.386)|(0.192)||(0.380)|(0.202)|
|Medium firm (>10)|1.037***|0.193|Medium firm (>10)|1.274***|0.185|
||(0.327)|(0.294)||(0.402)|(0.415)|
|% of female employees|0.001|-0.002|Medium firm#Female owner|-0.239|0.126|
||(0.002)|(0.003)||(0.417)|(0.431)|
|% employees high education|-0.004**|-0.001|% of female employees|-0.000|-0.003|
||(0.002)|(0.002)||(0.003)|(0.003)|
|Loan documents|2.524***|2.424***|% employees high education|-0.004**|-0.001|
||(0.322)|(0.149)||(0.002)|(0.002)|
|Firm has a license/permit|0.955***|0.322|Loan documents|2.574***|2.251***|
||(0.330)|(0.341)||(0.363)|(0.256)|
|Age of firm|-0.018*|-0.013**|Loan documents#Female owner|-0.309|-0.034|
||(0.011)|(0.006)||(0.521)|(0.304)|
|Conflict area|-0.224|0.102|Firm has license/permit|2.734**|2.120***|
||(0.526)|(0.253)||(1.147)|(0.484)|
|Hours dependents|0.001|0.006|Firm has permit#Female owner|-2.373*|-2.400***|
||(0.016)|(0.006)||(1.435)|(0.635)|
|Hours hh chores|0.013|-0.004|Age of firm|-0.019*|-0.014**|
||(0.010)|(0.006)||(0.010)|(0.006)|
|Maternity/paternity leave|0.387**|0.000|Conflict area|-0.205|0.121|
||(0.190)|(0.140)||(0.545)|(0.271)|
|Paid/sick leave|0.480<br>|0.106<br>|Hours dependents|0.003<br>|0.007<br>|
||(0.551)|(0.308)||(0.017)|(0.007)|
|Subsidized housing|0.051|0.316**|Hours hh chores|0.010|-0.006|
||(0.227)|(0.156)||(0.011)|(0.007)|
|Light manufacturing|-0.235|-0.015|Maternity/paternity leave|0.396**|0.017|
||(0.380)|(0.223)||(0.202)|(0.140)|
|Tourism|-0.614*|-0.209|Paid/sick leave|0.468|0.090|
||(0.370)|(0.175)||(0.543)|(0.307)|
|Trade|0.806**|0.284|Subsidized housing|0.024|0.291*|
||(0.338)|(0.319)||(0.240)|(0.160)|
|_cons|3.260***<br>|0.936<br>|Light manufacturing|-0.264<br>|-0.063<br>|
||(0.741)|(0.692)||(0.419)|(0.238)|
|N<br>note: .01 - ***;.05 - **;.1 - *;|513|513|Tourism|-0.661*<br>(0.397)|-0.267<br>(0.194)|
|Note: Clustered standard errors|by township for each|specification.|Trade|1.004|0.289|
|The variables: female owner, hig<br>whether the firm has a ermit to|h education, small an<br>oerate conflict area|d medium firm,<br>has documents to||(0.904)<br>|(0.531)<br>|
|p<br>request loan and light manufactu|p,<br>ring, tourism and tra|<br>de are all dummy|Trade#Female owner|-0.154<br>(0.870)|0.072<br>(0.478)|
|variables.<br>|||_cons|1.567|-0.552|
|% employees high education - %|of employees who h|ave completed at||(1.133)|(0.745)|
|least high school.|||N|513|513|
|Hours dependents and hh chore<br>dependents and doing hh chores<br>than 10% of values missing, we r<br>missingness dummy as an additi|s - number of hours s<br>- given these two var<br>ecoded missing to 0<br>onal covariate in the a|pent looking after<br>iables have more<br>and included a<br>nalysis.|note: .01 - ***;.05 - **;.1 - *;|||

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