Reporting Guidelines for Meta‐Analysis in Economics—Updated for AI

ABSTRACT Meta‐analysis is how science takes stock of its vast research output. The advent of increasingly capable artificial intelligence (AI) promises an unprecedented ability to identify and synthesize relevant research and its findings. In this document, the meta‐analysis of economics research network (MAER‐Net) updates existing Reporting Guidelines to be consistent with community‐driven best practices for the responsible use and disclosure of AI‐assistance in meta‐analysis research. This update is meant to further improve the transparency, replicability, and quality of meta‐analyses by building upon the 2020 and 2013 Reporting Guidelines published by this Journal. Cook et al. (2026) describe the guiding principles behind the update. Future meta‐analyses, whether or not they use AI, are expected to follow these updated guidelines or to be prepared to give reasons if they deviate from them.

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Publication Details

Journal
Journal of Economic Surveys
Published
2026-05-12
DOI
https://doi.org/10.1111/joes.70116
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
0.00

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article

Reporting Guidelines for Meta‐Analysis in Economics—Updated for AI

Klára Kantová, Frantis̆ek Bartos̆, Jerome Geyer‐Klingeberg, Matěj Opatrný et al.
Journal of Economic Surveys
Meta-analysis and systematic reviews
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Reporting Guidelines for Meta‐Analysis in Economics—Updated for AI

Klára Kantová, Frantis̆ek Bartos̆, Jerome Geyer‐Klingeberg, Matěj Opatrný, Sebastian Gechert, Heiko Rachinger, Zuzana Iršová, Tomáš Havránek, T. D. Stanley, Martina Lušková, Franz Prante, Nikolai Cook, Pedro R. D. Bom
article en

Abstract

ABSTRACT Meta‐analysis is how science takes stock of its vast research output. The advent of increasingly capable artificial intelligence (AI) promises an unprecedented ability to identify and synthesize relevant research and its findings. In this document, the meta‐analysis of economics research network (MAER‐Net) updates existing Reporting Guidelines to be consistent with community‐driven best practices for the responsible use and disclosure of AI‐assistance in meta‐analysis research. This update is meant to further improve the transparency, replicability, and quality of meta‐analyses by building upon the 2020 and 2013 Reporting Guidelines published by this Journal. Cook et al. (2026) describe the guiding principles behind the update. Future meta‐analyses, whether or not they use AI, are expected to follow these updated guidelines or to be prepared to give reasons if they deviate from them.

Journal of Economic Surveys
Universidad de Deusto (ES), Deakin University (AU), University of Augsburg (DE), Charles University (CZ), Chemnitz University of Technology (DE), Anglo-American University (CZ), Prague University of Economics and Business (CZ), University of International and Public Relations Prague (CZ), Universitat de les Illes Balears (ES), Institute of International Relations Prague (CZ), Wilfrid Laurier University (CA), University of Amsterdam (NL), Stanford University (US)
Grantová Agentura České Republiky
Openalex Percentile: Top 5%
Meta-analysis and systematic reviews
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