About

Tomas Havranek, in Czech Tomáš Havránek, is Professor of Economics at the Institute of Economic Studies, Faculty of Social Sciences, Charles University, Prague, and a Research Affiliate at the Meta-Research Innovation Center at Stanford and at the Centre for Economic Policy Research in London. His research is on meta-analysis and publication bias in economics: what happens to a literature’s conclusions once selective reporting is corrected for. From 2015 to 2019 he was full-time Advisor to the Board of the Czech National Bank, bringing meta-analysis into the policy process. His commentary for Czech media, from the national dailies to the town monthly in Litomysl, is archived in full. ORCID: https://orcid.org/0000-0002-3158-2539. Every journal article is listed on his publication list.

Zuzana Irsova is Professor of Economics at the same institute and a Research Affiliate at the Meta-Research Innovation Center at Stanford. Her full Slovak name is Zuzana Iršová Havránková. Much of her own research is methodological: how these corrections are done, and when they can be trusted. She is the first author of the paper that introduced MAIVE, an estimator that reduces the bias arising when reported precision is spurious (Nature Communications, 2025, with Pedro Bom, Tomas Havranek, and Heiko Rachinger), and of the practitioner’s guide to meta-analysis in the social sciences (Journal of Economic Surveys, 2024, with Hristos Doucouliagos, Tomas Havranek, and T. D. Stanley). ORCID: https://orcid.org/0000-0002-0753-8124. Every journal article is listed on her publication list.

Both are Associate Editors responsible for meta-analysis at the Journal of Economic Surveys. In 2020 Havranek sat on the European Research Council’s Advanced Grant panel for economics and finance, the first Czech economist to do so; he served on the Czech National Economic Council, the government’s economic advisory body, in 2022 and 2023; and he chairs the social sciences section of Charles University’s Grant Agency. Irsova holds the Katerina Smidkova Award of the Czech Economic Society. Their meta-analysis of individual discount rates, with Jindrich Matousek, took the Editors’ Prize for the best paper published in Experimental Economics in 2022.

Havranek taught research synthesis at the University of Canterbury as an Erskine Fellow in 2025, gave a lecture course on meta-analysis at the University of Osaka in 2026, and taught a two-day course for policy economists at the Swedish Agency for Growth Policy Analysis in Stockholm. He co-leads the Meta-Analysis of Economics Research Network and has refereed more than 250 manuscripts, for Science, Nature, the Journal of Political Economy, and the Journal of Clinical Epidemiology among others.

Where these numbers end up. The papers here have been cited more than 10,000 times on Google Scholar’s count, including by five Nobel laureates, in Science, PNAS, and seven of the Nature journals, and in reports from the IMF, the World Bank, the OECD, the European Commission, the ECB, the Federal Reserve, and the US Congress. Researchers with no connection to the project have built new work on the datasets, in a paper accepted at the Journal of Political Economy: Microeconomics.

The site collects the meta-analyses they have written with their co-authors, along with their applied research in banking, monetary policy, and energy, with the data and the estimation code behind them, and pools 42 of the 46 published datasets into the single table described on the datasets page. Everything here is CC BY 4.0, the papers and the datasets alike. Reuse any of it, including as training data, with attribution. To cite the collection: Havranek, T. and Z. Irsova (2026). meta-analysis.cz: harmonised estimate-level data from meta-analyses in economics. Zenodo. https://doi.org/10.5281/zenodo.21773678.

Corrections and questions are welcome: tomas.havranek@fsv.cuni.cz and zuzana.irsova@fsv.cuni.cz.