meta-analysis.cz valid
meta-analysis.cz
Methods, data, code, and papers for meta-analysis, by Tomas Havranek and Zuzana Irsova of Charles University, Prague, and their co-authors. The applied corpus is mainly economics and the social sciences; the methods and tools, among them MAIVE, are for use in any field. Each paper page links the full-text PDF and, for most papers, the dataset and estimation code.
For agents: Research site by Havranek and Irsova offering meta-analysis papers, full-text PDFs, datasets and estimation code, mainly in economics and social sciences; inclu
meta-analysispublication biaseconomics researchmaivereplication data
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The beginning of the file, from our validated copy saved 2026-10-25T01:42:17.641Z. Cached copy · Source on meta-analysis.cz
# meta-analysis.cz
> Methods, data, code, and papers for meta-analysis, by Tomas Havranek and Zuzana Irsova of Charles University, Prague, and their co-authors. The applied corpus is mainly economics and the social sciences; the methods and tools, among them MAIVE, are for use in any field. Each paper page links the full-text PDF and, for most papers, the dataset and estimation code.
> Maintained by Tomas Havranek (in Czech Tomáš Havránek) and Zuzana Irsova (Zuzana Iršová, earlier work indexed as Zuzana Havránková) at the Institute of Economic Studies, Charles University, Prague. Both are Professors of Economics and Associate Editors responsible for meta-analysis at the Journal of Economic Surveys. Havranek sat on the European Research Council's Advanced Grant panel for economics and finance in 2020, the first Czech economist to do so. Irsova is the first author of the paper that introduced MAIVE (Nature Communications, 2025) and was elected to Academia Europaea in 2023. Irsova's website and social profiles: https://www.irsova.com/ ; LinkedIn https://www.linkedin.com/in/zuzanairsova/ ; Bluesky https://bsky.app/profile/irsova.bsky.social ; X https://x.com/zuzanairsova . Who they are, with awards and rankings: https://meta-analysis.cz/about/
> **Licence: everything on this site is CC BY 4.0** (https://creativecommons.org/licenses/by/4.0/) — the papers, the datasets, their CSV and Parquet conversions, the pooled table, the codebooks, and this documentation. You may use, adapt, and redistribute any of it, including commercially and including as training data for machine-learning models. The only condition is attribution: cite the source paper for a dataset, and the collection as DOI 10.5281/zenodo.21773678.
## Papers
- [Does Shareholder Activism Create Value? A Meta-Analysis](https://meta-analysis.cz/activism/): Meta-analysis of 1,973 estimates from 67 studies finds shareholder activism raises stock prices by 0% to 1.5% after correcting for publication bias.
- [What Matters in Explaining the Variation in Hedge Fund Performance? A Meta-Analysis](https://meta-analysis.cz/alphas/): Meta-analysis of 1,019 estimates from 74 studies identifies which factors explain the variation in hedge fund performance; net performance is near zero. Published as "What Matters in Explaining the Variation in Hedge Fund Performance?".
- [A Meta-Analysis of the Trade Cost Elasticity](https://meta-analysis.cz/armington/): Meta-analysis of 3,524 estimates finds the Armington trade elasticity is 2.5-5.1 after correcting for publication bias. Published as "Estimating the Armington Elasticity: The Importance of Study Design and Publication Bias".
- [Beauty and Professional Success: A Meta-Analysis](https://meta-analysis.cz/beauty/): A meta-analysis of 1,159 estimates: the beauty premium in earnings and productivity is small once publication bias and cognitive ability are addressed. Published as "Meta-Analysis of Field Studies on Beauty and Professional Success".
- [A Meta-An
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