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 where available, all free to reuse. Taught by Tomas Havranek, Charles University, Prague.
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, and the recordings.
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.
Chemnitz, September 2026 (upcoming)
MAER-Net 2026 PhD workshop, Chemnitz, 23 September 2026: a session on MAIVE, EasyMeta and AI in meta-analysis. Draft demo data and prompts, not yet reviewed; the final materials follow after the workshop.
The same material in writing
- Meta-Analysis of Social Science Research: A Practitioner’s Guide (Journal of Economic Surveys, 2024)
- Reporting guidelines for meta-analysis in economics, updated for AI
- Guidance for the use of AI in the meta-analysis of economics research
- How to run MAIVE, on real data
- EasyMeta.org: meta-analysis in the browser, with corrections for p-hacking
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.