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Diversity of backgrounds and ideas: The case of research evaluation in economics
Institution:1. Duke University – Fuqua School of Business, United States;2. Harvard Business School, United States;1. University of Johannesburg, South Africa;2. United-Nations University (UNU-MERIT), The Netherlands;3. Maastricht University and UNU-MERIT, The Netherlands;1. LUISS Guido Carli University, Department of Business and Management, Viale Pola 12, 00198, Rome, Italy;2. Libera Università di Bolzano, Faculty of Economics and Management, Centre for Family Business Management, Piazza Università 1, 39100, Bolzano, Italy;3. Lancaster University Management School, Department of Entrepreneurship and Strategy, LA14YX, Lancaster, UK;1. Department of Economics, Management, and Quantitative Methods, University of Milan, Via Conservatorio 7, 20122 Milan, Italy;2. Department of Economics and Statistics ‘Cognetti de Martiis’, University of Turin, Lungo Dora Siena 100A, 10153, Turin, Italy;3. Collegio Carlo Alberto, Piazza Vincenzo Arbarello 8, 10122 Turin, Italy;1. University of Rennes 1, CREM-CNRS, Condorcet Center, France;2. University of Freiburg, Walter-Eucken Institute, Germany
Abstract:This paper contributes to the literature on the effect of research evaluation in terms of preserving and reproducing diversity. Through a large-scale natural experiment encompassing two entire cohorts of Italian economists, we document how candidates for academic positions, especially top-tier positions, in economics are pushed to increasingly conform to a standardised research profile. We find evidence of gender bias in research evaluation and observe substantial variability in the chances of qualifying for an academic position, depending on candidates’ main fields, topics and methods of research. Our results also indicate that economists working on less popular research fields and/or with heterodox methods are less likely to qualify for top-tier academic positions, independently of their bibliometric indicators.
Keywords:Research evaluation  Gender  Bibliometrics  Peer reviewing  Economics
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