Accounting for Multiplicity in Inference on Economics Journal Rankings

William C. Horrace; Christopher F. Parmeter

doi:10.1002/soej.12219

Accounting for Multiplicity in Inference on Economics Journal Rankings

William C. Horrace, Christopher F. Parmeter

Department of Economics

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

Nearly all journal ranking analyses assume that rank statistics of journal quality are deterministic, yet they are clearly random. The only study to recognize ranking uncertainty is Stern (2013), which calculates standard errors for a ranking of five-year impact factors for 232 economics journals and performs inference using a series of univariate t-tests. We revisit the Stern study but perform multivariate inference to control the overall error rate of the testing procedure. The results are compared and differences highlighted.

Original language	English (US)
Pages (from-to)	337-347
Number of pages	11
Journal	Southern Economic Journal
Volume	84
Issue number	1
DOIs	https://doi.org/10.1002/soej.12219
State	Published - Jul 2017

Keywords

A14
C12

ASJC Scopus subject areas

Economics and Econometrics

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10.1002/soej.12219

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Accounting for Multiplicity in Inference on Economics Journal Rankings

Abstract

Keywords

ASJC Scopus subject areas

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