Appendices dedicated to importing data (ASCII/CSV) and the basics of Stata programming (macros, loops, Mata). An Introduction to Modern Econometrics Using Stata
Detailed handling of cross-sectional, time-series, and panel data models.
: Detailed chapters on panel-data models (fixed/random effects), discrete choice (logit/probit), and limited dependent variables (Tobit). Content Structure Key Topics Covered Intro & Data Handling An Introduction to Modern Econometrics Using Stata
: Interpreting estimates, hypothesis testing (Wald, Lagrange multiplier), and marginal effects.
: Extensive coverage is provided for:
: Unlike many theory-heavy texts, Baum emphasizes preparing, auditing, and cleaning data using Stata’s data validation commands and do-files.
: The book highlights contemporary approaches like the Generalized Method of Moments (GMM) and instrumental-variables estimators (2SLS). Appendices dedicated to importing data (ASCII/CSV) and the
OLS estimation, residuals, predicted values, and indicator variables (qualitative factors).