Designing Causal Evaluations-Quiz 4

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1. Suppose that you have data on a key covariate at baseline and you want to maximize balance across treatment groups on that covariate in your random assignment. What is the best way to maximize balance? *

1 point

Just randomize individuals into treatment and control; simple random assignment will achieve the maximum balance possible

Keep randomizing until the difference in group averages is approximately 0

Randomize individuals into treatment and control, and then successively drop individuals until the difference in group averages is approximately 0

Divide the evaluation sample into strata based on the key covariate, and then randomly assign individuals to treatment and control groups within strata

Control for the key covariate in your analysis, but only if the difference at baseline across treatment and control is statistically significant

None of the previous approaches are the best way to balance on a key covariate in random assignment

2. Using the treatment assignment that you generated in Quiz 2, do a balance test on total_bl. What is the mean difference in baseline test scores between treatment and control groups? Round to the nearest 0.01. *

0 points

3. Now do a balance test on all of the baseline test score variables (total_bl, hindi_bl, math_bl, english_bl). Be sure to do the joint test rather than four independent tests. What is the p-value on the F-statistic from testing the joint likelihood that the coefficients on all 4 variables are 0? Round to the nearest 0.01. *

0 points

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