Monographs and open online books on econometrics, macroeconomics, and regional development
Investigate economic growth, differences in prosperity, and business cycles with this Python companion to intermediate macroeconomics. Its 21 chapters and eight appendices combine real data, interactive models, computational notebooks, and lecture slides. Change parameters, explore shocks, and compare model predictions with evidence to connect economic reasoning with hands-on analysis.
Explore how researchers move from correlation to causal evidence in this Python companion to Angrist and Pischke’s Mastering ’Metrics. Run real-data notebooks in Google Colab to study randomized trials, regression, instrumental variables, regression discontinuity, and differences in differences. AI tutors, a code cheatsheet, and a Spotify show offer complementary ways to practice and review the methods.
Learn to evaluate regional policy effects through this open online book in progress on comparative causal methods. Reproducible R and Quarto chapters compare differences in differences, synthetic control, and related approaches using public data and worked case studies. Follow the analysis from a single treated region to policies adopted at different times to understand how the methods address different evaluation settings.
Build econometric understanding through this Python companion to Cameron’s Analysis of Economics Data. Seventeen chapters connect statistical foundations, regression, panel data, and causal inference with real-data notebooks that run in the browser. Visual summaries, slides, quizzes, videos, podcasts, and AI tutors provide varied ways to explore the concepts and reinforce practical skills.
Examine why countries follow different productivity paths and whether groups converge toward common outcomes. This book compares developed and developing economies through labor productivity, capital accumulation, and aggregate efficiency using a framework that identifies convergence clubs. A focused literature review, comparative evidence, and a Stata implementation tutorial help graduate students and researchers apply the approach to their own work.
Explore why prosperity differs across countries through the roles of productivity, structural change, and the allocation of workers across sectors. Quantitative comparisons examine how physical capital, human capital, and aggregate efficiency contribute to differences in income and productivity. Evidence from Latin America and East Asia shows how the movement of labor between sectors can shape economy-wide performance.