Confidence Intervals for Recursive Journal Impact Factors

Johannes Koenig (), David Stern and Richard Tol
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Johannes Koenig: Department of Economics, Economic Policy, Innovation and Entrepreneurship, University of Kassel, Germany
Authors registered in the RePEc Author Service: Johannes König

Working Paper Series from Department of Economics, University of Sussex Business School

Abstract: We compute confidence intervals for recursive impact factors, that take into account that some citations are more prestigious than others, as well as for the associated ranks of journals, applying the methods to the population of economics journals. The Quarterly Journal of Economics is clearly the journal with greatest impact, the confidence interval for its rank only includes one. Based on the simple bootstrap, the remainder of the "Top-5" journals are in the top 6 together with the Journal of Finance, while the Xie et al. (2009), and Mogstad et al. (2022) methods generally broaden estimated confidence intervals, particularly for mid-ranking journals. All methods agree that most apparent differences in journal quality are, in fact, mostly insignicant.

Keywords: Bibliometrics; citation analysis; publishing; bootstrapping (search for similar items in EconPapers)
JEL-codes: A14 C15 C46 (search for similar items in EconPapers)
Date: 2022-05
New Economics Papers: this item is included in nep-sog
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Citations: View citations in EconPapers (1)

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Related works:
Working Paper: Confidence Intervals for Recursive Journal Impact Factors (2022)
Working Paper: Confidence Intervals for Recursive Journal Impact Factors (2022)
Working Paper: Confidence Intervals for Recursive Journal Impact Factors (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:sus:susewp:0122

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