How does the Market Use Citation Data? The Hirsch Index in Economics
AbstractA large literature following Hirsch (2005) has proposed citation-based indexes that could be used to rank academics. This paper examines how well several such indexes match labor market outcomes using data on the citation records of young tenured economists at 25 U.S. departments. Variants of Hirsch’s index that emphasize smaller numbers of highly-cited papers perform better than Hirsch’s original index and have substantial power to explain which economists are tenured at which departments. Adjustment factors for differences across fields and years of experience are presented.
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Bibliographic InfoPaper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 3188.
Date of creation: 2010
Date of revision:
Hirsch index; citation data; economics profession;
Other versions of this item:
- Glenn Ellison, 2010. "How Does the Market Use Citation Data? The Hirsch Index in Economics," NBER Working Papers 16419, National Bureau of Economic Research, Inc.
- A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
- I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
- O30 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - General
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:
- h(5,2) - the Best Citation Metric for Economics?
by David Stern in Stochastic Trend on 2011-07-07 01:08:00
- Karol Paludkiewicz & Klaus Wohlrabe, 2010. "Qualitätsanalyse von Zeitschriften in den Wirtschaftswissenschaften – über Zitationsdatenbanken und Impaktfaktoren im Online-Zeitalter," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 63(21), pages 18-28, November.
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