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Measuring Economic Journals' Citation Efficiency: A Data Envelopment Analysis Approach

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  • George Emm. Halkos
  • Nickolaos G. Tzeremes

Abstract

This paper by using Data Envelopment Analysis (DEA) and statistical inference evaluates the citation performance of 229 economic journals. The paper categorizes the journals into four main categories (A to D) based on their efficiency levels. The results are then compared to the 27 “core economic journals” as introduced by Dimond (1989). The results reveal that after more than twenty years Diamonds’ list of “core economic journals” is still valid. Finally, for the first time the paper uses data from four well-known databases (SSCI, Scopus, RePEc, Econlit) and two quality ranking reports (Kiel Institute internals ranking and ABS quality ranking report) in a DEA setting and in order to derive the ranking of 229 economic journals. The ten economic journals with the highest citation performance are Journal of Political Economy, Econometrica, Quarterly Journal of Economics, Journal of Financial Economics, Journal of Economic Literature, American Economic Review, Review of Economic Studies, Journal of Econometrics, Journal of Finance, Brookings Papers on Economic Activity.

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Bibliographic Info

Paper provided by Economics and Econometrics Research Institute (EERI), Brussels in its series EERI Research Paper Series with number EERI_RP_2011_13.

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Date of creation: 13 Aug 2011
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Handle: RePEc:eei:rpaper:eeri_rp_2011_13

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Keywords: Ranking journals; Data Envelopment Analysis; Indexing techniques; Nonparametric analysis.;

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References

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  16. Laszlo A. Koczy & Martin Strobel, 2010. "The World Cup of Economics Journals: A Ranking by a Tournament Method," IEHAS Discussion Papers 1018, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
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  18. George Halkos & Nickolaos Tzeremes, 2010. "The effect of foreign ownership on SMEs performance: An efficiency analysis perspective," Journal of Productivity Analysis, Springer, vol. 34(2), pages 167-180, October.
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  21. Norris, Michael & Oppenheim, Charles, 2007. "Comparing alternatives to the Web of Science for coverage of the social sciences’ literature," Journal of Informetrics, Elsevier, vol. 1(2), pages 161-169.
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  23. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
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Citations

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Cited by:
  1. Halkos, George & Tzeremes, Nickolaos, 2012. "Ranking the ‘Diamond Core’ economic journals: A note," MPRA Paper 36589, University Library of Munich, Germany.
  2. Frederic S. Lee & Xuan Pham & Gyun Gu, 2013. "The UK Research Assessment Exercise and the narrowing of UK economics," Cambridge Journal of Economics, Oxford University Press, vol. 37(4), pages 693-717.
  3. David I. Stern, 2013. "Uncertainty Measures for Economics Journal Impact Factors," Journal of Economic Literature, American Economic Association, vol. 51(1), pages 173-89, March.
  4. Seiler, Christian & Wohlrabe, Klaus, 2013. "Archetypal scientists," Journal of Informetrics, Elsevier, vol. 7(2), pages 345-356.

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