[Econometrics] Assume that condition, or conditions, hold. Your task is to evaluate if, at the end of the day, the program had an effect on the household income per capita of the treated population with respect to those in the control group. Calculate the ATE of each program on the final level of household income per capita, assuming that all the individuals are compliers. • Evaluate if the effect is statistically different from zero at the usual confidence levels. For this case, the standard errors have to be calculated following the formula: o 07 SE пт + пс Page 2 where no corresponds to the sample size of the treated group, nato the sample size of the control group, or2, and očare the variances of the treatment and the control group. The values for them are given in table 2. Remember that the critical values in the t distribution are the following: For 90% of confidence the value is 1.646, for 95% of confidence the value is 1.960, for 99% of confidence the value is 2.576 and 99.9% of confidence the value is 3.291. Table 1: Outcomes Agricultural Program Manufacturing Program Pre-treatment Pre-treatment Treatment Control Treatment Control 7,100 7,103 5,600 5,599 n=2,000 n=2,000 n=1,700 n=1,700 Post-treatment Post-Treatment Treatment Control Treatment Control 9,000 9,200 8,000 7,300 n=2,000 n=2,000 n=1,700 n=1,700

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[Econometrics] Assume that condition, or conditions, hold. Your task is to evaluate if, at the end of the day, the program had an effect on the household income per capita of the treated population with respect to those in the control group. Calculate the ATE of each program on the final level of household income per capita, assuming that all the individuals are compliers. • Evaluate if the effect is statistically different from zero at the usual confidence levels. For this case, the standard errors have to be calculated following the formula: o 07 SE пт + пс Page 2 where no corresponds to the sample size of the treated group, nato the sample size of the control group, or2, and očare the variances of the treatment and the control group. The values for them are given in table 2. Remember that the critical values in the t distribution are the following: For 90% of confidence the value is 1.646, for 95% of confidence the value is 1.960, for 99% of confidence the value is 2.576 and 99.9% of confidence the value is 3.291. Table 1: Outcomes Agricultural Program Manufacturing Program Pre-treatment Pre-treatment Treatment Control Treatment Control 7,100 7,103 5,600 5,599 n=2,000 n=2,000 n=1,700 n=1,700 Post-treatment Post-Treatment Treatment Control Treatment Control 9,000 9,200 8,000 7,300 n=2,000 n=2,000 n=1,700 n=1,700

• Assume that condition, or conditions, hold. Your task is to evaluate if, at the end of the day, the program
had an effect on the household income per capita of the treated population with respect to those in the
control group. Calculate the ATE of each program on the final level of household income per capita,
assuming that all the individuals are compliers.
• Evaluate if the effect is statistically different from zero at the usual confidence levels. For this case, the
standard errors have to be calculated following the formula:
0²
SE=
nT nc
Page 2
where ne corresponds to the sample size of the treated group, to the sample size of the control
group, or², and oc² are the variances of the treatment and the control group. The values for them are
given in table 2. Remember that the critical values in the t distribution are the following: For 90% of
confidence the value is 1.646, for 95% of confidence the value is 1.960, for 99% of confidence the value
is 2.576 and 99.9% of confidence the value is 3.291.
+
la
Transcribed Image Text:• Assume that condition, or conditions, hold. Your task is to evaluate if, at the end of the day, the program had an effect on the household income per capita of the treated population with respect to those in the control group. Calculate the ATE of each program on the final level of household income per capita, assuming that all the individuals are compliers. • Evaluate if the effect is statistically different from zero at the usual confidence levels. For this case, the standard errors have to be calculated following the formula: 0² SE= nT nc Page 2 where ne corresponds to the sample size of the treated group, to the sample size of the control group, or², and oc² are the variances of the treatment and the control group. The values for them are given in table 2. Remember that the critical values in the t distribution are the following: For 90% of confidence the value is 1.646, for 95% of confidence the value is 1.960, for 99% of confidence the value is 2.576 and 99.9% of confidence the value is 3.291. + la
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