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Open AccessArticle

Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc

by Chia-Lin Chang 1 and Michael McAleer 2,3,4,5,*
1
Department of Applied Economics, and Department of Finance, National Chung Hsing University, Taichung 402, Taiwan
2
Department of Quantitative Finance, National Tsing Hua University, Hsinchu 300, Taiwan
3
Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam 3000, The Netherlands
4
Tinbergen Institute, Rotterdam 3000, The Netherlands
5
Department of Quantitative Economics, Complutense University of Madrid, Madrid 28040, Spain
*
Author to whom correspondence should be addressed.
Econometrics 2013, 1(3), 217-235; https://doi.org/10.3390/econometrics1030217
Received: 15 October 2013 / Revised: 6 November 2013 / Accepted: 7 November 2013 / Published: 18 November 2013
The paper focuses on the robustness of rankings of academic journal quality and research impact of 10 leading econometrics journals taken from the Thomson Reuters ISI Web of Science (ISI) Category of Economics, using citations data from ISI and the highly accessible Research Papers in Economics (RePEc) database that is widely used in economics, finance and related disciplines. The journals are ranked using quantifiable static and dynamic Research Assessment Measures (RAMs), with 15 RAMs from ISI and five RAMs from RePEc. The similarities and differences in various RAMs, which are based on alternative weighted and unweighted transformations of citations, are highlighted to show which RAMs are able to provide informational value relative to others. The RAMs include the impact factor, mean citations and non-citations, journal policy, number of high quality papers, and journal influence and article influence. The paper highlights robust rankings based on the harmonic mean of the ranks of 20 RAMs, which in some cases are closely related. It is shown that emphasizing the most widely-used RAM, the two-year impact factor of a journal, can lead to a distorted evaluation of journal quality, impact and influence relative to the harmonic mean of the ranks. Some suggestions regarding the use of the most informative RAMs are also given. View Full-Text
Keywords: research assessment measures; citations; impact; influence; harmonic mean; robust journal rankings; econometrics research assessment measures; citations; impact; influence; harmonic mean; robust journal rankings; econometrics
MDPI and ACS Style

Chang, C.-L.; McAleer, M. Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc. Econometrics 2013, 1, 217-235.

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