mikenguyen13/data_analysis

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Step-by-step causal inference — method selection, assumptions, and robustness checks

R & Python code and datasets for Everyday Causal Inference — a free book on experiments, DiD, IV, RDD, and causal time series for business

AI Skills for Economists

Instructional materials for econometrics short courses

StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.

Codes for case studies for the Bekes-Kezdi Data Analysis textbook

R MCP Server

Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences