Accounting for Multiplicity in Inference on Economics Journal Rankings
William Horrace () and
No 2016-08, Working Papers from University of Miami, Department of Economics
Nearly all journal rankings are constructed as deterministic, yet they are clearly stochastic. To remedy this, Stern (2013) calculates standard errors and performs inference on the ranks of economics journal based on impact factors. However, this inference is essentially a series of univariate tests that do not control for the overall error rate of the inferential exercise. Using multiple comparison and ranking procedures, we reevaluate the inference while controlling for the multiplicity (the implied multivariate inference) in the rank statistic. The results are compared and di_erences highlighted.
Keywords: Ranking and Selection; Subset Selection; Multiple Comparisons; Journal Impact Factors Publication Status: Under Review (search for similar items in EconPapers)
JEL-codes: A14 C12 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ore and nep-sog
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Journal Article: Accounting for Multiplicity in Inference on Economics Journal Rankings (2017)
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