Panel Data Econometrics with Stata
Ahmad Hafiz
A skilled and dedicated trainer with expertise in data analytics, statistical modeling, and programming tools, this professional brings a practical, learner-focused approach to every session. With experience delivering training across diverse industries and academic levels, they specialize in simplifying complex concepts and equipping participants with real-world, job-ready skills. Known for their interactive teaching style and up-to-date knowledge of tools like Python, R, Power BI, and Stata, this trainer is committed to building data literacy and fostering continuous learning among individuals and teams alike.
Training Outline
Fixed Effects (FE), Random Effects (RE), and model selection techniques
Pooled OLS (POLS) for baseline estimation and comparison
Instrumental Variables and Two-Stage Least Squares (2SLS)
Generalized Method of Moments (GMM) for dynamic panels
Difference-in-Differences (DiD) for policy evaluation
Oster’s delta method for robustness to omitted variable bias
Impact Threshold of a Confounding Variable (ITCV) sensitivity analysis
Propensity Score Matching (PSM) and Entropy Balancing for causal inference
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