Climent Quintana-Domeque

@climent.bsky.social

Professor of Economics, University of Exeter. Subject Lead for Applied Microeconomics. Teaching Econometrics: Cause and Effect. Council Member, Royal Economic Society (2025-2030). https://shorturl.at/uGubH

We’re seeking a doctoral student or early career economist to join the judging panel for the RES Medal for Services to the Economics Profession, helping to select the 2027 recipient. Applications close at 5pm on 17 August 2026. Learn more: https://bit.ly/4wZUy2T

Panel vacancy: RES Medal for Services to the Economics Profession - Royal Economic Society

The RES is recruiting for a doctoral student or early career economist to join the judging panel for the RES Medal for Services to the Economics Profession.

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📢 Applications are now open for the next Editor-in-Chief of The Economic Journal. The successful candidate will play a central role in shaping the Journal's editorial direction, strategic vision & long-term development. Find out more: bit.ly/3TcWmHa #EconSky #Economics @theeconjournal.bsky.social

Call for Applications: Editor-in-Chief of The Economic Journal - Royal Economic Society

The Royal Economic Society is currently seeking applications for the position of Editor-in-Chief of The Economic Journal.

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New NBER working paper. We meta-analyze 82 RCTs of low-cost parent programs in 20+ countries. We use data on unwritten RCTs from funder records, RCT registries, author queries, etc. to estimate a model that adjusts for publication bias and characterizes the effect distribution for unwritten studies.

NBER working paper. 

Paper title: Characterizing the File Drawer: Evidence from a Meta-Analysis of Parent-Interventions Around the World

Abstract:  We conduct a meta-analysis of 82 randomized controlled trials across more than 20 countries to estimate the effects of low-cost, remote parental engagement interventions delivered through text messages, phone calls, and apps. We estimate a joint likelihood function that incorporates both written studies and unwritten studies identified through trial registries, funder records, research labs, evidence clearinghouses, and other sources. By also recording sample sizes for unwritten studies, the model estimates the distribution of standard errors, identifies write-up probabilities conditional on significance, and characterizes the file drawer by estimating effect distributions for written \textit{and} unwritten studies. Bias-corrected effects are 0.05 SD for test scores, 0.07 SD for grades, 0.05 SD for attendance, and 0.03 SD for enrollment. In the best-identified domain, test scores, statistically insignificant results are still written up at high rates. We also find that larger studies tend to estimate smaller latent effects, which could indicate that true effects are correlated with study precision, violating a common meta-analysis assumption. In smaller-sample domains, our approach helps identify selection probabilities by anchoring the absolute write-up rates. Finally, we estimate the value of additional RCTs to inform adoption decisions. Any single study estimate is unlikely to dissuade adoption because parent interventions have high marginal value of public funds. Instead, future research is most valuable when it can explain heterogeneity across settings.

The @britishacademy.bsky.social, in partnership with the Economic and Social Research Council (ESRC), is hosting an in-person workshop: Funding Call on social & economic returns to R&D investment Register / submit expression of interest by: 10 June 2026 www.eventbrite.co.uk/e/esrc-works...

ESRC Workshop: Funding Call on social & economic returns to R&D investment

Interested in research on R&D returns? Help shape a future funding call at this in-person workshop. Free to attend, with limited places.

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