collaborators

8 papers

econ.GN2026

Do Female Directors Raise ESG Ratings? A Meta-Analysis

Karolina Hozova, Tomas Havranek, Zuzana Irsova

Appointing more women to corporate boards is widely expected to also raise firms' environmental, social, and governance (ESG) performance. We provide the first meta-analysis of thi…

econ.GN2026

Trust, Rule of Law, and the Size Premium: Evidence from a Meta-Analysis

Jiri Schwarz, Tomas Havranek, Zuzana Irsova +1

Reported estimates of the size premium, the tendency of smaller firms to earn higher average returns than larger firms, vary widely across studies, countries, periods, and designs.…

econ.EM2026

Do methods matter in the meta-analysis of partial correlation coefficients?

T. D. Stanley, Petr Cala, Hristos Doucouliagos +2

Recent studies have demonstrated that conventional meta-analyses of partial correlation coefficients (PCC) are biased. Several adjustments have been shown in simulations to reduce…

econ.GN2026

The Elasticity of Substitution between Native and Immigrant Labor: A Meta-Analysis

Klara Kantova, Tomas Havranek, Zuzana Irsova +1

This paper presents the first comprehensive meta-analysis of the elasticity of substitution between native and immigrant labor, drawing on 1,091 estimates from 41 studies. We find…

econ.GN2026

Publication bias and p-hacking in the effect of COVID-19 on learning

Martina Luskova, Nino Buliskeria, Ali Elminejad +4

We revisit a central estimate in the economics of education: the human-capital loss associated with COVID-19 school closures. Estimates of pandemic learning loss may be affected by…

econ.GN2026

Optimal Inflation Rate: A Meta-Analysis

Matej Opatrny, Martin Opatrny, Tomas Havranek +2

We revisit the optimal long-run inflation rate using 777 estimates from 116 primary studies published between 1989 and 2026, the largest sample on the topic to date. To our knowled…

econ.EM2026

Do decisions about outliers and influential effects matter? Evidence from 358 behavioral science meta-analyses

Tomas Havranek, Zuzana Irsova, Martina Luskova +1

Meta-analysts routinely face estimates that look too large or extreme. Yet, how to handle them is left to the reviewer's judgment. The methods for detecting such estimates are well…

econ.GN2026

Does Multi-Agent Debate Improve AI Feedback on Research Papers?

Tomas Havranek, Zuzana Irsova

Probably not, at least for meta-analyses in economics. In a pre-registered, identity-masked, within-paper experiment, the authors of 44 meta-analyses ranked three AI reports on the…