Guidance for the Use of AI in the Meta‐Analysis of Economics Research
ABSTRACT Meta‐analysis is widely accepted to be the most rigorous and objective approach to the synthesis, interpretation, and understanding of findings from specific areas of empirical economics research. With the advent of increasingly capable generative artificial intelligence and AI's potential to transform the practice of meta‐analysis, the Meta‐Analysis of Economics Research Network (MAER‐Net) has adopted this set of principles. These principles are meant to provide guidance to meta‐researchers, as well as editors and reviewers, in the use of AI in meta‐analysis of economics research. Future meta‐analyses that employ AI are expected to embody these guiding principles and to follow the associated Reporting Guidelines for Meta‐Analysis in Economics ‐ Updated for AI (Cook et al. 2026).
Authors
- Pedro R. D. Bom (ORCID: https://orcid.org/0000-0002-5643-2975)
- Klára Kantová (ORCID: https://orcid.org/0000-0003-4540-9152)
- Frantis̆ek Bartos̆ (ORCID: https://orcid.org/0000-0002-0018-5573)
- Jerome Geyer‐Klingeberg (ORCID: https://orcid.org/0000-0001-6615-7439)
- Nikolai Cook (ORCID: https://orcid.org/0000-0003-2988-0606)
- Matěj Opatrný (ORCID: https://orcid.org/0000-0003-2322-6187)
- Sebastian Gechert (ORCID: https://orcid.org/0000-0003-2657-1058)
- Heiko Rachinger (ORCID: https://orcid.org/0000-0002-2782-6545)
- Franz Josef Prante (ORCID: https://orcid.org/0000-0002-9450-989X)
- Zuzana Iršová (ORCID: https://orcid.org/0000-0002-0753-8124)
- Tomáš Havránek (ORCID: https://orcid.org/0000-0002-3158-2539)
- T. D. Stanley
- Martina Lušková
Institutions
- Universidad de Deusto (ES)
- Deakin University (AU)
- University of Augsburg (DE)
- Charles University (CZ)
- Chemnitz University of Technology (DE)
- Universitat de les Illes Balears (ES)
- Institute of International Relations Prague (CZ)
- Wilfrid Laurier University (CA)
- University of Amsterdam (NL)
Publication Details
- Journal
- Journal of Economic Surveys
- Published
- 2026-04-21
- DOI
- https://doi.org/10.1111/joes.70105
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 0.00