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Ranking Journals In Economics, Management And Political Science By Social Choice Theory Methods

Author

Listed:
  • Fuad T. Aleskerov

    (National Research University Higher School of Economics (Russia))

  • Vladimir V. Pislyakov

    (National Research University Higher School of Economics (Russia))

  • Andrey N. Subochev

    (National Research University Higher School of Economics (Russia))

Abstract

Data on economic, management and political science journals are used to produce quantitative estimates of (in)consistency of evaluations based on seven popular bibliometric indicators. This paper proposes a new approach to the construction of aggregate journal rankings: aggregation is considered to be a multicriteria decision problem and ordinal ranking methods from social choice theory are employed to solve it. We apply either a direct ranking method based on majority rule (e.g. the Copeland rule, the Markovian method) or a multistage procedure of selection and exclusion of the best journals, as determined by a majority rule-based social choice solution concept (tournament solution), such as the uncovered set and the minimal externally stable set. We use the same method to analyze correlations of rankings and demonstrate that aggregate rankings reduce the number of contradictions and represent the set of single-indicator-based rankings better than any of the seven rankings themselves.

Suggested Citation

  • Fuad T. Aleskerov & Vladimir V. Pislyakov & Andrey N. Subochev, 2014. "Ranking Journals In Economics, Management And Political Science By Social Choice Theory Methods," HSE Working papers WP BRP 27/STI/2014, National Research University Higher School of Economics.
    • Handle: RePEc:hig:wpaper:27sti2014
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    File URL: http://www.hse.ru/data/2014/05/19/1322077930/27STI2014.pdf
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    References listed on IDEAS

    as
    1. Fuad Aleskerov & Andrey Subochev, 2013. "Modeling optimal social choice: matrix-vector representation of various solution concepts based on majority rule," Journal of Global Optimization, Springer, vol. 56(2), pages 737-756, June.
    2. Fuad Aleskerov & Andrey Subochev, 2016. "Matrix-vector representation of various solution concepts," Papers 1607.02378, arXiv.org.
    3. Kenneth J. Arrow & Herve Raynaud, 1986. "Social Choice and Multicriterion Decision-Making," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262511754, April.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Subochev, Andrey & Zakhlebin, Igor, 2014. "Alternative versions of the global competitive industrial performance ranking constructed by methods from social choice theory," MPRA Paper 67462, University Library of Munich, Germany.
    2. Subochev, A., 2016. "How Different Are the Existing Ratings of Russian Economic Journals and How to Unify Them?," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 181-192.
    3. Fuad T. Aleskerov & Vladimir V. Pislyakov & Timur V. Vitkup, 2014. "Ranking Journals In Economics, Management And Political Sciences By The Threshold Aggregation Procedure," HSE Working papers WP BRP 73/EC/2014, National Research University Higher School of Economics.
    4. Zahid Halim & Shafaq Khan, 2019. "A data science-based framework to categorize academic journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 393-423, April.
    5. Balatsky, Evgeny V. (Балацкий, Евгений) & Ekimova, Natalia A. (Екимова, Наталья), 2017. "Competition of Economic Journals in Russia: Results of the Three Waves of Ranking [Конкуренция Экономических Журналов России: Итоги Трех Волн Рейтингования]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 6, pages 178-201, December.
    6. Subochev, Andrey & Aleskerov, Fuad & Pislyakov, Vladimir, 2018. "Ranking journals using social choice theory methods: A novel approach in bibliometrics," Journal of Informetrics, Elsevier, vol. 12(2), pages 416-429.

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