Effect of Cash Grant on Business, Employment and Asset Levels.
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Notes: Robust standard errors in parentheses. OLS estimation is applied. Control variables are, the receipt of mentorship dummy, the outcome variable at the baseline, years of schooling, no education dummy, gender dummy (full sample), marital status, household size, head of household dummy, age group dummies, province dummies, language dummies, new to business dummies, zero earnings dummy, number of plots, the house ownership dummy, non-agricultural business dummy, having animal livestock dummy. All control variables are from the baseline information. The estimated coefficients of control variables are shown in Table S2-S5 of Extended Data *** p<0.01, ** p<0.05, * p<0.1Panel B shows the effect of the cash grant on the number of household members working for a micro-enterprise. Panel B shows that an individual who received the cash grant increased the number of household members working for their microenterprise by 0.2 persons on average. Column 2 of Panel A, a male individual who received the cash grant increased the number of family members working for their microenterprise by 0.18 persons on average. Column 3 shows that a female individual who received the cash grant increased the number of family members working for their micro-enterprise by 0.254 persons on average.Panel C shows the effect of the cash grant on the number of non-household members working for a micro-enterprise. Column 1 shows an individual who received the cash grant increased the number of non-family members who work for their microenterprise by 0.23 persons. Column 2 shows that, for the male group who had received the cash grant, the employment number of non-family members increased by 0.232 persons. The results in column 3 show that, for the female group who had received the cash grant, the number of non-family members who were employed for their microenterprise increased by 0.229 persons.When starting or extending a business, additional equipment, such as a phone, a truck, and a cart, might be needed. Panel D shows the effect of receiving cash grants on the general asset index for production. To calculate the general asset index for production, we first standardized the level of each asset for production. Then, through the principal component analysis, we determined the weight for each asset and calculated the weighted index (
Results in Panel E display the index of assets for consumption. Columns 2 and 3 show that receiving the cash grant increased the index of assets for consumption by 0.1 standard deviation for the male group, and decreased it by 0.02 standard deviation for the female group. When the control variables were included in the estimation, the estimated coefficient and statistical significance did not change. Columns 5 and 6 show that the cash grant increased the index of assets for consumption for the male group by 0.094 standard deviation and decreased it by 0.073 standard deviation for the female group. Thus, for the male group, receiving the cash grant increased the index of assets for consumption. However, our results do not reflect the same for the female group.
