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


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.

Headline results from these papers

One tile per paper: the question it asks and the answer it gives, at the precision the paper reports. The units differ from tile to tile — an elasticity, a percentage, a number of months — so the numbers are not comparable with one another, and definitions and samples differ too; check the source before reusing one. The same results run as full sentences below, on one searchable page, and as a spreadsheet: estimates.csv.

Macroeconomics

Micro and experimental economics

Energy and environmental economics

International economics

Labor and education economics

Financial economics

Meta-research methods

All 53 results as full sentences, with samples and source links

Macroeconomics

Micro and experimental economics

Energy and environmental economics

International economics

Labor and education economics

Financial economics

Meta-research methods