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Economic Modelling at thirty-five: A retrospective bibliometric survey

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  • Pattnaik, Debidutta
  • Kumar, Satish
  • Burton, Bruce
  • Lim, Weng Marc

Abstract

Economic modelling (EM) is a premier journal for policy-relevant economic models. However, so far, no retrospective studies exist for the journal. This study addresses this gap using a machine learning n-gram (bigram and trigram) analysis. The survey results find that the journal has contributed to 9517 topics, with 69 topics covered in at least 10 studies between 1984 and 2019. Through a co-occurrence analysis of bigram and trigram terms, this study reveals that the major topics in the journal converge to nine themes: international economics, development economics, regional and real estate economics, economic growth and development, financial economics, monetary economics, general economic equilibrium, international finance, and non-conventional finance and macroeconomics. This study concludes with key takeaways and suggestions for prospective authors intending to publish their best papers in EM.

Suggested Citation

  • Pattnaik, Debidutta & Kumar, Satish & Burton, Bruce & Lim, Weng Marc, 2022. "Economic Modelling at thirty-five: A retrospective bibliometric survey," Economic Modelling, Elsevier, vol. 107(C).
    • Handle: RePEc:eee:ecmode:v:107:y:2022:i:c:s0264999321003011
    DOI: 10.1016/j.econmod.2021.105712
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    More about this item

    Keywords

    Economic modelling; Bibliometrics; Machine learning; N-gram analysis; Co-occurrence analysis;
    All these keywords.

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • N01 - Economic History - - General - - - Development of the Discipline: Historiographical; Sources and Methods
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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