Stata

Conditional Average Treatment Effects (CATE) with Stata 19

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

Beta and Sigma Convergence Across Countries: A Stata Tutorial

Test whether poorer countries are catching up to richer ones using beta and sigma convergence analysis with Penn World Tables 10.0 data in Stata

Converging to Convergence: Understanding the Main Ideas of the Convergence Literature

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

Treatment Effects in Stata: A Beginner's Tour of Six Estimators with the Maternal Smoking and Birth Weight Case Study

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.

Dynamic Panel Data with Arellano-Bond GMM in Stata: The Effect of War on Economic Growth

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.

IV Estimation with Panel Data: Economic Shocks and Civil Conflict

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

The Synthetic Control Method in Stata: Did California's Tobacco Tax Cut Smoking?

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

Introduction to Difference-in-Differences (DiD) in Stata

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).

Regression Discontinuity Design (RDD) in Stata: Evaluating a Tutoring Program

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

Identifying Latent Group Structures in Panel Data: The classifylasso Command in Stata

Identify latent group structures in panel data using the Classifier-LASSO method (Su, Shi, Phillips 2016), revealing that the pooled democracy-growth effect of +1.055 masks a +2.151 effect in 57 countries and a -0.936 effect in 41 countries.