This open-access book offers an R-based introduction to modern causal-inference methods for evaluating the impact of regional policies. It is organized around case studies—including California’s 1989 cigarette tax and county-level minimum-wage adoption—and includes a chapter on Bayesian spatial synthetic control.
Continue Reading
This book and its related website introduce a modern approach to econometrics education that integrates theoretical foundations with cloud-based computation and AI-enhanced learning tools. Designed as a computational companion to A. Colin Cameron’s “Analysis of Economics Data: An Introduction to Econometrics”, it addresses persistent challenges in learning econometrics—passive textbook engagement, technical barriers, and the gap between theory and implementation—by combining three pillars: foundational econometric concepts, interactive Python notebooks accessible through a zero-installation cloud environment, and AI-powered learning resources.
Continue Reading
Why are some countries much more prosperous than others? This book argues that differences in average labor productivity, patterns of structural change, and labor misallocation across sectors explain most of the observed differences in economic prosperity around the world. The work employs quantitative calibration methods to demonstrate that cross-country income variations primarily reflect productivity disparities. It examines labor productivity’s determinants—physical capital, human capital, and aggregate efficiency—and analyzes how sectoral labor misallocation diminishes productivity, using Latin America and East Asia as comparative cases.
Continue Reading