Accounting for Multiplicity in Inference on Economics Journal Rankings

William C. Horrace, Christopher F. Parmeter

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


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 languageEnglish (US)
Pages (from-to)337-347
Number of pages11
JournalSouthern Economic Journal
Issue number1
StatePublished - Jul 2017


  • A14
  • C12

ASJC Scopus subject areas

  • Economics and Econometrics


Dive into the research topics of 'Accounting for Multiplicity in Inference on Economics Journal Rankings'. Together they form a unique fingerprint.

Cite this