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Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc

Author

Listed:
  • Chia-Lin Chang

    (Department of Applied Economics, and Department of Finance, National Chung Hsing University, Taichung 402, Taiwan)

  • Michael McAleer

    () (Department of Quantitative Finance, National Tsing Hua University, Hsinchu 300, Taiwan
    Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam 3000, The Netherlands
    Tinbergen Institute, Rotterdam 3000, The Netherlands
    Department of Quantitative Economics, Complutense University of Madrid, Madrid 28040, Spain)

Abstract

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.

Suggested Citation

  • Chia-Lin Chang & Michael McAleer, 2013. "Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc," Econometrics, MDPI, Open Access Journal, vol. 1(3), pages 1-19, November.
  • Handle: RePEc:gam:jecnmx:v:1:y:2013:i:3:p:217-235:d:30522
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    References listed on IDEAS

    as
    1. Christian Zimmermann, 2013. "Academic Rankings with RePEc," Econometrics, MDPI, Open Access Journal, vol. 1(3), pages 1-32, December.
    2. repec:spr:scient:v:87:y:2011:i:1:d:10.1007_s11192-010-0335-0 is not listed on IDEAS
    3. Chia-Lin Chang & Michael McAleer, 2013. "Ranking journal quality by harmonic mean of ranks: an application to ISI statistics & probability," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(1), pages 27-53, February.
    4. Chia-Lin Chang & Michael Mcaleer, 2013. "What Do Experts Know About Forecasting Journal Quality? A Comparison With Isi Research Impact In Finance," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 8(01), pages 1-30.
    5. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "Great Expectatrics: Great Papers, Great Journals, Great Econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 30(6), pages 583-619.
    6. Chia-Lin Chang & Esfandiar Maasoumi & Michael McAleer, 2016. "Robust Ranking of Journal Quality: An Application to Economics," Econometric Reviews, Taylor & Francis Journals, vol. 35(1), pages 50-97, January.
    7. Chang, Chia-Lin & McAleer, Michael & Oxley, Les, 2013. "Coercive journal self citations, impact factor, Journal Influence and Article Influence," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 190-197.
    8. Chia‐Lin Chang & Michael McAleer & Les Oxley, 2011. "What Makes A Great Journal Great In Economics? The Singer Not The Song," Journal of Economic Surveys, Wiley Blackwell, vol. 25(2), pages 326-361, April.
    9. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "How are journal impact, prestige and article influence related? An application to neuroscience," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(11), pages 2563-2573, January.
    10. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "What makes a great journal great in the sciences? Which came first, the chicken or the egg?," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 17-40, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Chia-Lin Chang & Michael Mcaleer, 2014. "Just How Good Are The Top Three Journals In Finance? An Assessment Based On Quantity And Quality Citations," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-31.
    2. Ferda, HALICIOGLU, 2014. "Research Ranking Place of Turkish Economists in the World," MPRA Paper 54058, University Library of Munich, Germany.
    3. Christian Zimmermann, 2013. "Academic Rankings with RePEc," Econometrics, MDPI, Open Access Journal, vol. 1(3), pages 1-32, December.
    4. Chang Chia-Lin & McAleer Michael, 2014. "Ranking Economics and Econometrics ISI Journals by Quality Weighted Citations," Review of Economics, De Gruyter, vol. 65(1), pages 35-52, April.
    5. David L. Anderson & John Tressler, 2015. "Are Researcher Rankings Stable Across Alternative Output Measurement Schemes in the Context of a Time Limited Research Evaluation? The New Zealand Case," Working Papers in Economics 15/10, University of Waikato.
    6. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals Based on the Thomson Reuters Citations Database," Journal of Reviews on Global Economics, Lifescience Global, vol. 4, pages 120-125.

    More about this item

    Keywords

    research assessment measures; citations; impact; influence; harmonic mean; robust journal rankings; econometrics;

    JEL classification:

    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • C - Mathematical and Quantitative Methods
    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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