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 Micro and experimental economics Energy and environmental economics International economics Labor and education economics Financial economics
The site and research presented here has been supported by the Czech Science Foundation (project 24-11583S) and the Institute for Research on the Socioeconomic Impact of Diseases and Systemic Risks (SYRI, project LX22NPO5101) funded by the European Union—Next Generation EU.