Data and codes for meta-analysis
This platform is a digital repository for meta-analysis methods and applications co-authored by researchers at the Institute of Economic Studies, Charles University, Prague. Meta-analysis, the quantitative approach to research synthesis, was originally developed in experimental medicine. In economics, it has become a valuable tool for calibrating structural models, correcting publication bias, and linking differences in primary study results to their contextual backgrounds. The papers collected here have appeared in journals such as the Review of Economics and Statistics, Journal of the European Economic Association, Journal of Labor Economics, Journal of Political Economy Microeconomics, and Nature Communications.
A new meta-analysis approach robust to both publication bias and p-hacking:
Meta-Analysis Instrumental Variable Estimator (MAIVE)
One-click meta-analysis in your browser:
EasyMeta.org: No install needed. Supports MAIVE, PET-PEESE, clustering.
Concise, nontechnical, step-by-step guidelines on how to do a meta-analysis:
The Practitioner’s Guide to Modern Meta-Analysis
Macroeconomics
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International economics
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