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Adaptive weights clustering of research papers

Author

Listed:
  • Larisa Adamyan

    (Humboldt-Universität zu Berlin, C.A.S.E.-Center of Applied Statistics and Economics)

  • Kirill Efimov

    (Humboldt-Universität zu Berlin, C.A.S.E.-Center of Applied Statistics and Economics)

  • Cathy Y. Chen

    (Humboldt-Universität zu Berlin, C.A.S.E.-Center of Applied Statistics and Economics)

  • Wolfgang K. Härdle

    (Humboldt-Universität zu Berlin, C.A.S.E.-Center of Applied Statistics and Economics
    Xiamen University
    Singapore Management University
    Charles University in Prague)

Abstract

The JEL classification system is a standard way of assigning key topics to economic articles to make them more easily retrievable in the bulk of nowadays massive literature. Usually the JEL (Journal of Economic Literature) is picked by the author(s) bearing the risk of suboptimal assignment. Using the database of the Collaborative Research Center from Humboldt-Universität zu Berlin we employ a new adaptive clustering technique to identify interpretable JEL (sub)clusters. The proposed Adaptive Weights Clustering (AWC) is available on http://www.quantlet.de/ and is based on the idea of locally weighting each point (document, abstract) in terms of cluster membership. Comparison with $$k$$ k -means or CLUTO reveals excellent performance of AWC.

Suggested Citation

  • Larisa Adamyan & Kirill Efimov & Cathy Y. Chen & Wolfgang K. Härdle, 2020. "Adaptive weights clustering of research papers," Digital Finance, Springer, vol. 2(3), pages 169-187, December.
  • Handle: RePEc:spr:digfin:v:2:y:2020:i:3:d:10.1007_s42521-020-00017-z
    DOI: 10.1007/s42521-020-00017-z
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    References listed on IDEAS

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    1. Susanne Prantl & Alexandra Spitz-Oener, 2009. "How does entry regulation influence entry into self-employment and occupational mobility?," SFB 649 Discussion Papers SFB649DP2009-034, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Leif Anders Thorsrud, 2020. "Words are the New Numbers: A Newsy Coincident Index of the Business Cycle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 393-409, April.
    3. Prantl, Susanne & Spitz-Oener, Alexandra, 2009. "How does entry regulation influence entry into self-employment and occupational mobility?," SFB 649 Discussion Papers 2009-034, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    4. Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 193-218, December.
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    6. Susanne Prantl & Alexandra Spitz‐Oener, 2009. "How does entry regulation influence entry into self‐employment and occupational mobility?1," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 17(4), pages 769-802, October.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Clustering; JEL system; Adaptive algorithm; Economic articles; Nonparametric;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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