Data and codes for meta-analysis

This platform is a digital repository for meta-analysis methods and applications co-authored by researchers at the 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. The papers collected here 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 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
This site and the research presented here have 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.