|Table 6: Labor Outcomes|Currently working<br>Age started working<br>Any training since 2011<br>Cog.<br>demands of main<br>work (1/0)<br>Yearly earnings (inv. hy-<br>perbolic sine, USD)<br>Daily res. wage (inv. hy-<br>perbolic sine, USD)<br>(1)<br>(2)<br>(3)<br>(4)<br>(5)<br>(6)|R<br>**Panel A. Merit**<br>Treatment<br>0.034*<br>0.0740<br>-0.0140<br>-0.0400<br>-0.294<br>0.0640<br>(0.020)<br>(0.225)<br>(0.037)<br>(0.027)<br>(0.188)<br>(0.048)<br>Observations<br>772<br>794<br>814<br>775<br>791<br>805<br>R-squared<br>0.106<br>0.0720<br>0.156<br>0.0990<br>0.102<br>F-statistic<br>1.940<br>1.910<br>4.830<br>2.570<br>3.710<br>3.830<br>Covariates<br>Yes<br>Yes<br>Yes<br>Yes<br>Yes<br>Yes<br>Control mean<br>0.923<br>12.72<br>0.595<br>0.174<br>7.620<br>2.250|**Panel B. Poverty**<br>Treatment<br>0.0120<br>0.339<br>-0.0310<br>0.0270<br>-0.382<br>0.0370<br>(0.019)<br>(0.235)<br>(0.036)<br>(0.030)<br>(0.239)<br>(0.054)<br>35|AFT<br>Observations<br>712<br>726<br>753<br>713<br>732<br>746<br>R-squared<br>0.0870<br>0.0910<br>0.165<br>0.0900<br>0.118<br>F-statistic<br>2.850<br>1.980<br>7.100<br>2.080<br>959.6<br>2.170<br>Covariates<br>Yes<br>Yes<br>Yes<br>Yes<br>Yes<br>Yes<br>Control mean<br>0.930<br>12.55<br>0.590<br>0.146<br>7.608<br>2.219<br>Notes: Estimated treatment efects. The dependent variable in column (1) is a dummy equal to 1 if the individual is currently working, i.e. she worked for at least 1 hour during the last week or has a job at<br>the moment but did not work during the last week. In column (2), the dependent variable is the age at which the individual started to work. In column (3), the dependent variable is a dummy equal to 1 if the<br>individual participated in any formal or informal training that lasted at least one week, since 2011. In column (4), the dependent variable is a dummy equal to 1 if the main work activity demands cognitive<br>ability (read, write, calculate, or use a computer) and 0 otherwise. In column (5), the dependent variable is the yearly earning expressed in US dollars and transformed using an inverse hyperbolic sine. In<br>column (6), the dependent variable is the daily reservation wage in US dollars and transformed using an inverse hyperbolic sine. In column (4), values for respondents who did not work have been imputed with<br>0, except if they were students. In columns (1) and (4), the sample is restricted to respondents who are not currently students. Column (2) includes everyone who ever worked. Column (4) includes only people<br>who worked over the past 12 months. Columns (3) and (6) include the entire sample. Column (1), (2), (3), (4), and (6) are estimated using OLS regression; Column (5) is estimated using Tobit regression. All<br>regressions control for district fxed efects, baseline test score, baseline poverty score, individual-level socio-economic variables from baseline, 6 school-level (EMIS) variables and 5 census village-level variables,<br>measured at baseline. Panel A includes respondents who were eligible for the merit scholarship (Treatment=1, 0 otherwise) and Panel B respondents who were eligible for the poverty scholarship (Treatment=1,<br>0 otherwise). Robust standard errors are in parentheses (clustered at the school level). *** p<0.01, ** p<0.05, * p<0.1.|
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