Job market stars: Statistical significance and academic hiring in economics.

Autor/inn/en	Brodeur, Abel; Kattan, Lamis; Musumeci, Marco
Titel	Job market stars: Statistical significance and academic hiring in economics. Gefälligkeitsübersetzung: Arbeitsmarktstars: Statistische Signifikanz und akademische Einstellung in den Wirtschaftswissenschaften.
Quelle	In: European economic review, (2026) 187, Art. 105353, 16 S. PDF als Volltext Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	1873-572X
DOI	10.1016/j.euroecorev.2026.105353
Schlagwörter	Verhalten; Fälschung; Determinante; Forschungsergebnis; Signifikanztest; Personalauswahl; Hochschullehrer; Wirtschaftswissenschaft; Daten; Entwicklungspotenzial; Qualität; Veröffentlichung; Arbeitgeber; Wirtschaftswissenschaftler; USA
Abstract	"This study investigates recruitment bias in the academic job market. We examine the link between statistical significance and placement outcomes for 200 empirical job market papers from 2018-2021. Marginally significant results are associated with higher academic placement likelihoods, suggesting a preference for statistical significance. This bias may incentivize questionable research practices. The COVID-19 pandemic intensified these dynamics, with marginal significance gaining greater weight in hiring decisions during competitive periods. Evidence of publication bias indicates recruiters may use statistical significance to predict future publications, shaping hiring decisions. These findings highlight systemic challenges to research integrity in economics." The study refers to the period 2018-2021 (Author's abstract, IAB-Doku, © 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2026/4