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The quantitative turn in the history of economics: promises, perils and challenges

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  • Beatrice Cherrier
  • Andrej Svorenčík

Abstract

A quantitative turn in history of economic thought is looming. We argue that engineering it consciously is of crucial importance for historians of economics. We also highlight the limitations of quantitative techniques. Yet, the combination of qualitative and quantitative research could substantially enrich our narratives of the development of economics and its practice, of how ideas and tools disseminate and influence other spheres. A failed quantitative turn could lead our field to a house divided and, in the worst case, a civil war.

Suggested Citation

  • Beatrice Cherrier & Andrej Svorenčík, 2018. "The quantitative turn in the history of economics: promises, perils and challenges," Journal of Economic Methodology, Taylor & Francis Journals, vol. 25(4), pages 367-377, October.
    • Handle: RePEc:taf:jecmet:v:25:y:2018:i:4:p:367-377
    DOI: 10.1080/1350178X.2018.1529217
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    Cited by:

    1. Kirtchik, Olessia & Boldyrev, Ivan, 2024. "“Rise And Fall” Of The Walrasian Program In Economics: A Social And Intellectual Dynamics Of The General Equilibrium Theory," Journal of the History of Economic Thought, Cambridge University Press, vol. 46(1), pages 1-26, March.
    2. Mike Thelwall & Kayvan Kousha & Meiko Makita & Mahshid Abdoli & Emma Stuart & Paul Wilson & Jonathan Levitt, 2023. "In which fields do higher impact journals publish higher quality articles?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 3915-3933, July.
    3. Lima, Pedro G. & Teixeira, Pedro N. & Silva, Sandra T., 2021. "Major Streams in the Economics of Inequality: A Qualitative and Quantitative Analysis of the Literature since 1950s," IZA Discussion Papers 14777, Institute of Labor Economics (IZA).
    4. Marco Guerzoni & Massimiliano Nuccio & Federico Tamagni, 2022. "Discovering pre-entry knowledge complexity with patent topic modeling and the post-entry growth of Italian firms," LEM Papers Series 2022/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Thiago Dumont Oliveira & Marwil J. Dávila-Fernández, 2020. "From modelmania to datanomics? The rise of mathematical and quantitative methods in three top economics journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 51-70, April.

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