Guidance for the Use of AI in the Meta‐Analysis of Economics Research
Year: 2026
Type: article
Abstract: 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).
Source: Journal of Economic Surveys
DOI: 10.1111/joes.70105
Institutions: Wilfrid Laurier University, University of Amsterdam, Universidad de Deusto, Chemnitz University of Technology, Charles University, University of Augsburg, Prague University of Economics and Business, Stanford University, Anglo-American University, Universitat de les Illes Balears, Deakin University
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $4,250
OpenAlex ID: W7155052889