From the 1 of 5 linked papers with an AI index.
5 papers
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…
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…
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…
Electricity demand has not become more price-responsive despite ninety years of technological change
Peter Kudela, Tomas Havranek, Zuzana Irsova +2
Energy planners have long assumed that electricity demand will grow more price-responsive as metering, automation, and storage spread, an assumption now embedded in decarbonization…
Does Multi-Agent Debate Improve AI Feedback on Research Papers?
Tomas Havranek, Zuzana Irsova
The paper evaluates whether multi‑agent debate AI tools provide more useful feedback on economics meta‑analyses than a single‑pass large language model, finding that authors prefer…