Assignment4

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University of Texas, Dallas *

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6392

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Computer Science

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Feb 20, 2024

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6

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Causal Analytics and A/B Testing Assignment – 4 1. Examine initial covariate balance before matching. Create table1 with standardized differences.
2. Estimate the propensity score (the probability of being Treated given a set of pre- treatment covariates) for each student, and plot the propensity overlap plot to examine the region of common support.
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3. Execute the 1-to-1 matching algorithm on the logit of propensity score. Use the caliper of 0.01. 4. Examine covariate balance after matching. Create table1 with standardized differences.
5. Estimate the treatment effect, i.e., the difference between the mean math test scores of children who went to Catholic school and those who went to Public school. Is it statistically significant? Provide appropriate conclusions. Since the P-value is less than Alpha, we reject null and conclude that there is a significant difference in the test scores between catholic school students and public school students.
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