Hoces de la Guardia, F., Miguel, E., Pathan, G., Silva da Rocha, V., Shaji, A., Sørensen, E., Tungodden, B.
(manuscript available upon request, slides here)
Abstract.
What scientists choose not to publish can be as important as what they do publish. This study introduces a novel measure of the reporting of research results in economics, and investigates the causes behind under-reporting. Across over 5,048 pre-registered hypotheses from 317 studies on the American Economic Association RCT Trial Registry that were encoded, we first show that only 42% of hypotheses, on average across studies, have publicly available results 8 to 9 years after pre-registration. Around 64.5% of these publicly available findings are null results (i.e., not statistically significant), contrary to widespread concerns about the non-reporting of null results. An RCT was carried out to test three plausible barriers to full reporting, namely, a lack of awareness, engagement, or resources. An intervention in which our team engaged directly with the authors’ research and their under-reported findings increased the share of hypotheses with publicly available results by 6.2 percentage points (11% of the missing hypotheses), though most of this increase reflected results that already existed but were buried or previously observed; genuinely new estimates account for only 2.5 percentage points. Authors explained a further 18% of missing hypotheses as cases where the planned research never occurred; these explanations document why a result is absent rather than providing it, and although they do little for publication bias, they help limit research waste by creating a record of which planned studies were never carried out. Neither a light-touch “awareness” intervention nor a more expensive research-assistance intervention added to reporting, indicating that recovery required hands-on engagement. Together, the findings indicate that the majority of pre-registered hypotheses in economics remain unreported, with 42% still unaccounted for even after our most intensive arm; that under-reporting is more complex than a simple reluctance to report nulls; and that recovering missing results is difficult and labor-intensive rather than low-cost. We conclude that there is still need for stronger incentives and infrastructure to ensure that pre-registered scientific plans translate into publicly accessible evidence. Toward that end, this study provides prototypes of how standardized results reporting could be incorporated into economics.
"Assessing Reproducibility in Economics Using Standardized Crowd-sourced Analysis"; Abel Brodeur ⓡ Seung Yong Sung ⓡ Edward Miguel ⓡ Lars Vilhuber ⓡ Fernando Hoces de la Guardia. https://www.nber.org/papers/w33753
"The Reproducibility and Robustness of Economics and Political Science"; Brodeur, A., Mikola, D., Cook, N, Fiala, L. ..., Hoces de la Guardia, F ..... 2025 (Nature R &R)
‘Promoting reproducibility and replicability in political science”; Brodeur, A., Esterling, K., Ankel-Peters, J., Bueno, N., Desposato, S., Dreber, A., Genovese, F., Green, D., Hepplewhite, M., Hoces de la Guardia, F., et. al.; Research & Politics, 2024.
“Reproduction and replication at scale”; Brodeur, A., Dreber A., Hoces de la Guardia, F., Miguel, E.; Nature Human Behaviour, Correspondence, 2024.
“Replication games: how to make reproducibility research more systematic”; Brodeur, A., Dreber A., Hoces de la Guardia, F., Miguel, E.; Nature, Comment, 2023.
“A Framework for Open Policy Analysis”, F.Hoces De La Guardia, S. Grant, E. Miguel; Science and Public Policy 48.2;154-163; 2021. tinyurl.com/1qypbihb.
“A consensus-based transparency checklist”; Aczel, B., Szaszi, B., Sarafoglou, A., Kekecs, Z., Kucharský, Š., Benjamin, D., ... F. Hoces de la Guardia..., & Ioannidis, J. P; Nature human behavior; 2019.1-3.
During & Pre-PhD:
“Loss Function-based Evaluation of Physician Report Cards”; F. Hoces de la Guardia, J. Hwang, JL Adams, SM. Paddock. Health Services and Outcomes Research Methodology; 2018.
“Optimizing Variance-Bias Trade-off in the TWANG Package for Estimation of Propensity Scores”; L. Parast, D. McCaffrey, L. Burgette, F. Hoces de la Guardia, D. Golinelli, JNV Miles, BA Griffin; Health Services and Outcomes Research Methodology; 2017.
“Better-than-average and worse-than-average hospitals may not significantly differ from average hospitals: an analysis of Medicare Hospital Compare ratings”; SM Paddock, JL Adams, F. Hoces de la Guardia; BMJ quality & safety; 2015.
“Evaluating the Chile Solidario Program: Results Using the Chile Solidario Panel and the Administrative Databases”, F.Hoces De La Guardia, A. Hojman, O. Larranaga; Revista Estudios de Economia, 2011.