stata

Spatial Dynamic Panels with Common Factors in Stata: Credit Risk in US Banking

Estimate spatial dynamic panel models with unobserved common factors using the spxtivdfreg package in Stata --- an IV approach that handles spatial lags, temporal persistence, endogenous regressors, and latent factors simultaneously

Visualizing Regression with the FWL Theorem in Stata

A hands-on guide to the scatterfit package in Stata --- from understanding the Frisch-Waugh-Lovell theorem through simulated confounding to visualizing fixed effects in real panel data --- showing what "controlling for" looks like as a scatter plot.

Sensitivity Analysis for Parallel Trends in Difference-in-Differences Using honestdid in Stata

Assess how robust difference-in-differences results are to violations of parallel trends using the honestdid package in Stata, progressing from a simple 2x2 DiD to multi-period event studies with relative magnitudes and smoothness restrictions

Evaluating a Cash Transfer Program (RCT) with Panel Data in Stata

Evaluate the causal effect of a cash transfer program on household consumption using regression adjustment, inverse probability weighting, doubly robust, and difference-in-differences methods in Stata

Cross-Sectional Spatial Regression in Stata: Crime in Columbus Neighborhoods

Explore the full taxonomy of cross-sectional spatial models --- OLS, SAR, SEM, SLX, SDM, SDEM, SAC, and GNS --- using the Columbus crime dataset in Stata, following Elhorst (2014)

Spatial Panel Regression in Stata: Cigarette Demand Across US States

Model spatial spillovers in panel data using the Spatial Durbin Model (SDM), Wald specification tests, and dynamic extensions with the xsmle package in Stata

Convergence Clubs in Labor Productivity and its Proximate Sources: Evidence from Developed and Developing Countries

This book introduces a modern framework to study the cross-country convergence dynamics of labor productivity and its proximate sources: capital accumulation and aggregate efficiency.

Use marginal predictions

Fitting and interpreting linear and logistic regression models