Estimate heterogeneous causal effects of mining and mineral prices on economic development using Stata 19's cate command with multi-valued treatment via pairwise binary comparisons, applied to a simulated resource curse panel dataset
Estimate how the effect of 401(k) eligibility on household assets varies across households using Stata 19's new cate command, with PO, AIPW, GATE, GATES, and nonparametric series estimators applied to the canonical assets3 dataset
Reproduce the key findings of Kremer, Willis, and You (2021) to understand why unconditional convergence emerged since 2000 and how the convergence of growth correlates explains this shift
A beginner-friendly walk-through of six treatment-effects estimators in Stata --- regression adjustment, IPW, IPWRA, AIPW, nearest-neighbor matching, and propensity-score matching --- applied to the classic maternal-smoking and birth-weight case study.
Estimate the within-country dynamic effect of war on log GDP per capita using Arellano-Bond GMM in Stata, reproducing Thies and Baum (2020) on a 1955-2015 panel of 160 countries.
Replicate Hodler and Raschky (2014) to estimate the causal effect of economic shocks on civil conflict using 2SLS instrumental variables with panel data from 5,689 African regions
Estimate the causal effect of California's Proposition 99 tobacco control program on cigarette sales using the synthetic control method in Stata, with in-space placebo, in-time placebo, and leave-one-out robustness tests
Learn Difference-in-Differences (DiD) in Stata using a case study of an after-school tutoring program. Covers the 2x2 design, TWFE regression, event studies, and parallel trends testing based on Corral and Yang (2024).
Evaluate the causal effect of a school tutoring program on student exit exam scores using sharp regression discontinuity design with parametric OLS and nonparametric rdrobust estimation in Stata