Data Analysis

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(hlipaSptople.ucsc.edui-cdobkin/comp ia bootstrap) cida) CSV (hdipadhatople.ucsc.edu/-cdobkin/comy) • HW 1 Data: Voting Data for students with last names F-J State (b1ipaSpegple.ucsc.edui-cdobkin/comp2 RCT.dta) CSV (titioaesple.ucsc.edu/-cdobkin/com RCT.csv) • HW 1 Data: Voting Data for students with last names K-P Stata (Ws://people.ucsc.edu/-cdobkin/comp ia bootstrap3 RCT.dta) CSV (https://people.ucsc.eduk-cdobkin/comp ia bootstrap3 RCT.csv) • HW 1 Data: Voting Data for students with last names Q-Z Stata (https://people.ucsc.eduk-cdobkin/comp ia bootstrap4 RCT.dta) CSV (https://people.ucsc.edui-cdobkin/comp ia bootstrap4 RCT.csv)
Questions

  1. Provide evidence that the randomization worked by comparing the means of the sample characteristics in the treatment and control groups. Please create a clean table that includes columns with the means of each group, the difference between the two groups and the p-value of the difference. The table should be comprehensible on its own. 2. Is the table you produced in answer to question 1 consistent with the randomization being correctly implemented? Why or why not? 3. Estimate the difference in the voting rates for the treatment and control group. How big an effect did getting assigned to get a phone call have on the probability of voting. Is it statistically significant? Is it large in a practical sense? 4. Create a carefully labeled table where each column corresponds to a regression. The first column contains the parameters of a the regression vote02 = BO+Bltreat real+u. In each following column you add one more covariate to the regression. 5. What effect does adding covariates have on your estimate of the treatment effect? What does this tell you about the relationship between the covariates and the outcome? 6. Will comparing the voting rate of the group that got assigned to get the call with the voting rate of the group that didn’t get assigned to get a call get us an unbiased estimate of the causal effect of getting assigned to get encouraging call on the probability of voting? Why or why not?

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