Courses on meta-analysis in economics, with everything that was taught. The slides and their LaTeX sources, the Stata and R code, the data, and recordings and edited transcripts where available, all free to reuse. Taught by Tomas Havranek, Charles University, Prague.

Chemnitz, September 2026

MAER-Net 2026 PhD workshop, Chemnitz, 23 September 2026: a 90-minute session on MAIVE, EasyMeta and AI in meta-analysis. The slides (PDF and as text), the demo dataset with the numbers to expect, and the prompts for AI assistants.

Osaka, March 2026

Meta-Analysis in Economics: Practical Tools for Synthesizing Research. A three-hour course at the Institute of Social and Economic Research (ISER), the University of Osaka, on 16 March 2026, on site and online: four lectures on the workflow, selective reporting, heterogeneity, and interpretation. Slides, code and data, the recordings and an edited transcript.

Stockholm, August 2025

Meta-Analysis for Policy Economists: Practical Tools for Synthesizing Research. Two days for the policy economists of Tillväxtanalys, the Swedish Agency for Growth Policy Analysis, on 28 and 29 August 2025, hands-on in Stata and R. Slides, code and data, and the programme.

Christchurch, February and March 2025

Research Synthesis in Economics and Finance. A university course (ECON670) at the University of Canterbury, New Zealand: ten two-hour lectures, from literature search and data collection to publication bias, p-hacking, heterogeneity and the limits of meta-analysis, with student projects. The lecture slides with their LaTeX sources, and an edited transcript of each lecture.

Further reading

Licence

Everything here is CC BY 4.0, like the rest of this site; the code files also carry an MIT licence in their headers.