Data and codes for meta-analysis
This platform is a digital repository for meta-analysis methods and applications by Tomas Havranek, Zuzana Irsova, and their co-authors at the Institute of Economic Studies, Faculty of Social Sciences, Charles University, Prague. Meta-analysis, the quantitative approach to research synthesis, was originally developed in the behavioral and medical sciences. In economics and other social sciences, it has become a valuable tool for synthesizing evidence, correcting publication bias, and linking differences in primary study results to their contextual backgrounds. Nearly every paper collected here comes with its data and estimation code. The papers have appeared in journals such as Nature Communications, Review of Economics and Statistics, Journal of the European Economic Association, Journal of Labor Economics, and Journal of Political Economy Microeconomics.
A new meta-analysis approach robust to p-hacking:
Meta-Analysis Instrumental Variable Estimator (MAIVE) — Irsova, Bom, Havranek & Rachinger, Nature Communications, 2025
One-click meta-analysis in your browser, with corrections for p-hacking:
EasyMeta.org, which runs MAIVE, RTMA, and standard models
Nontechnical, step-by-step guidelines on how to do a meta-analysis:
The Practitioner’s Guide to Modern Meta-Analysis
Macroeconomics
|
International economics
|