|_Table A2.6 We_|_ighted TOT_|_and ATE estim_<br>|_ates of the “trai_<br>|_ning and grant” v_<br>|_s “training, bu_<br>|_t no grant” on m_<br>|_ain outcomes_<br>|
|---|---|---|---|---|---|---|---|
|||(1)|(2)|(3)|(4)|(5)|(6)|
|||TOT|TOT|TOT|LATE|LATE|LATE|
|||(no<br>controls)|(controls)|(controls +<br>geography<br>|(no<br>controls)|(controls)|(controls +<br>geography<br>|
|||_Main o_|_utcomes(surve_|controls)<br>_y‐based) – Psyc_|_hological an_|_d behavioral_|controls)|
|Psychological<br>|Training,|0.018|0.020|0.111|‐0.285|‐0.100|0.179|
|wellbeing<br>|no grant|(0.751)|(0.701)|(0.214)|(0.115)|(0.582)|(0.429)|
|index|Training<br>|‐0.005|‐0.044|0.053|0.400|0.093|0.779**|
||and|||||||
||grant|(0.945)|(0.554)|(0.578)|(0.268)|(0.789)|(0.017)|
|Risk index|Training,|0.007|‐0.014|0.056|‐0.425|‐0.381|‐0.146|
||no grant|(0.925)|(0.868)|(0.617)|(0.127)|(0.146)|(0.712)|
||Training<br>and|‐0.097|‐0.104|‐0.025|0.625|0.508|0.639|
||<br>grant|(0.211)|(0.187)|(0.806)|(0.264)|(0.328)|(0.129)|
|Trust index|Training,|‐0.059|‐0.075|‐0.014|‐0.070|‐0.077|‐0.471*|
||no grant|(0.337)|(0.240)|(0.903)|(0.752)|(0.740)|(0.082)|
||Training<br>and|0.174**|0.177**|0.253**|0.072|0.028|0.023|
||grant|(0.041)|(0.036)|(0.040)|(0.856)|(0.946)|(0.950)|
|Crime and|Training,|‐0.094|‐0.105*|‐0.030|‐0.514*|‐0.603*|‐0.278|
|violence index|no grant|(0.118)|(0.091)|(0.712)|(0.097)|(0.067)|(0.408)|
||Training<br>and|‐0.123*|‐0.128*|‐0.096|0.557|0.682|0.427|
||grant|(0.091)|(0.086)|(0.302)|(0.290)|(0.217)|(0.287)|
|Migration<br>index|Training,<br>no grant|‐0.083|‐0.085|‐0.134|‐0.246|‐0.286|‐0.397|
|||(0.125)|(0.128)|(0.113)|(0.183)|(0.154)|(0.160)|
||Training<br>|‐0.006|‐0.018|‐0.066|0.355|0.455|‐0.029|
||and|||||||
||grant|(0.947)|(0.821)|(0.473)|(0.369)|(0.272)|(0.935)|
|List<br>|Training,|0.247**|0.257**|0.282**|0.108|0.143|0.182|
|experiment|no grant|||||||
|cattle index||(0.021)|(0.031)|(0.020)|(0.666)|(0.627)|(0.533)|
||Training<br>and|‐0.032|‐0.044|‐0.018|0.410|0.484|0.471|
||grant|(0.832)|(0.593)|(0.841)|(0.457)|(0.443)|(0.445)|
|List|Training,|‐0.134|‐0.109|‐0.147|‐0.431*|‐0.282|‐0.291|
|experiment<br>|<br>no grant|||||||
|argument||||||||
|<br>index||(0.190)|(0.301)|(0.168)|(0.060)|(0.188)|(0.160)|
||Training<br>and|‐0.208|‐0.232|‐0.212|0.400|0.093|0.071|
||grant|(0.186)|(0.167)|(0.200)|(0.432)|(0.856)|(0.889)|
|Observations||1,500|1495|1474|1,500|1,474|1,474|
|F‐stat|||||20.62|18.37|34.65|

_Note: Observations are weighted by their inverse likelihood to be in the final sample, based on who was easy to reach during the phone survey. 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, and the interaction of conflict exposure and the original treatment group. P‐values are in parenthesis displayed below the estimated coefficients. * (**, ***) indicates statistical significance at the ten‐percent (five‐percent, one‐percent) level._ 42