||||_Table A3.3 Eff _|_ects of the “tr_|_aining andgr_|_ant” vs “train_|_ing, but nogr_|_ant” on main_|_socio‐econom_|_ic outcomes_|_by gender_||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|||(1)|(2)|(3)|(4)|(5)|(6)|(7)|(8)|(9)|(10)|(11)|(12)|(13)|
|||**T**|**OT for male**|**s**|**L**|**ATE for male**|**s**|**T**|**OT for femal**|**es**|**LA**|**TE for fema**|**les**|Coeff|
|||(no<br>controls)|(controls)|(controls<br>+ geo<br>controls)|(no<br>controls)|(controls)|(controls<br>+ geo<br>controls)|(no<br>controls)|(controls)|(controls<br>+ geo<br>controls)|(no<br>controls)|(controls)|(controls<br>+ geo<br>controls)|equality<br>(6) vs<br>(12)|
|Employment|Training,|‐0.025|‐0.064|‐0.416*|0.105|‐0.001|‐0.505|0.145**|0.152**|0.273**|‐0.131|‐0.049|0.454|0.959|
|index|no grant|(0.850)|(0.601)|(0.066)|(0.781)|(0.998)|(0.444)|(0.017)|(0.010)|(0.010)|(0.581)|(0.807)|(0.139)|(0.173)|
||Training<br>and|‐0.095|‐0.104|‐0.471*|‐0.040|0.074|‐0.374|0.158|0.169|0.286*|0.637|0.456|0.750*|1.124|
||grant|(0.542)|(0.495)|(0.072)|(0.952)|(0.901)|(0.506)|(0.258)|(0.228)|(0.087)|(0.191)|(0.284)|(0.096)|(0.124)|
|Consumption|Training,|0.069|0.058|0.187|‐0.323|‐0.319|0.326|0.032|0.017|‐0.072|‐0.374*|‐0.303|‐0.543|‐0.870|
|index|no grant|(0.524)|(0.605)|(0.317)|(0.307)|(0.327)|(0.483)|(0.674)|(0.837)|(0.610)|(0.067)|(0.133)|(0.236)|(0.213)|
||Training<br>and|0.058|0.029|0.164|0.616|0.521|0.785*|0.264***|0.248**|0.242*|1.241**|1.073**|0.750|‐0.035|
||grant|(0.623)|(0.812)|(0.467)|(0.302)|(0.361)|(0.100)|(0.008)|(0.012)|(0.059)|(0.025)|(0.036)|(0.122)|(0.959)|
|Savings,|Training,|0.373***|0.303***|0.114|‐0.429|‐0.450|‐0.561|0.140**|0.135**|0.104|‐0.049|‐0.021|‐0.286|0.275|
|investment|no grant|(0.001)|(0.006)|(0.453)|(0.203)|(0.174)|(0.200)|(0.014)|(0.018)|(0.343)|(0.768)|(0.898)|(0.421)|(0.592)|
|and<br>debt|Training|0.408***|0.388***|0.205|1.715***|1.603***|1.029**|0.460***|0.439***|0.421***|0.975**|0.903**|0.913*|‐0.116|
|index|and||||||||||||||
||grant|(0.002)|(0.001)|(0.211)|(0.008)|(0.008)|(0.027)|(0.000)|(0.000)|(0.000)|(0.013)|(0.019)|(0.065)|(0.862)|
|Business|Training,|0.042|0.026|0.091|‐0.046|‐0.035|0.540|‐0.070|‐0.059|‐0.013|‐0.167|‐0.016|0.058|‐0.482|
|skills index|no grant|(0.660)|(0.789)|(0.590)|(0.895)|(0.929)|(0.179)|(0.313)|(0.417)|(0.922)|(0.406)|(0.941)|(0.898)|(0.451)|
||Training<br>and|0.285**|0.291**|0.357**|0.340|0.320|0.104|0.212*|0.182|0.269*|0.250|‐0.090|0.195|0.092|
||grant|(0.019)|(0.023)|(0.041)|(0.551)|(0.603)|(0.873)|(0.061)|(0.110)|(0.078)|(0.584)|(0.846)|(0.704)|(0.924)|
|Observations||555|547|541|547|541|541|968|948|933|953|933|933||
|F‐stat|||||4.510|4.568|19.85||||5.330|5.268|15.76||

_Note: P‐values are in parenthesis displayed below the estimated coefficients. * (**, ***) indicates statistical significance at the ten‐percent (five‐percent, one‐percent) level. All regression control for gender‐state fixed effects. Control variables of column (2) include all baseline controls that were significant determinants of attrition and of selection between receiving “training and grant” vs “training, but no grant”. In particular, these are age, marital status, employment status, business ownership, food consumption, non‐ food consumption, formal bank account, formal loans, informal loans, education level, literacy level, numeracy level, household size, number of children, number of rooms, number of buildings at baseline, and exposure to conflict events between baseline and endline. Column (3) also controls for geographic features since the estimation strategy relies on the distance to the closest KCB bank branch that might correlate with other geographic characteristics. Geography controls include distance to the closest city, distance to the closest road, average land gradient and their respective interactions with selection to the original treatment group. Column (13) reports tests for coefficient equality between estimates from males and females in column (6) and (12). Displayed are differences of coefficient p‐values of the test in parenthesis._ 45