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
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International economics
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