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A Bibliometric Analysis of the Developments and Research Frontiers of Agent-Based Modelling in Economics

Author

Listed:
  • Ayesha Zehra

    (PIDE School of Economics, Pakistan Institute of Development Economics, Islamabad 44000, Pakistan
    These authors contributed equally to this work.)

  • Amena Urooj

    (PIDE School of Economics, Pakistan Institute of Development Economics, Islamabad 44000, Pakistan
    These authors contributed equally to this work.)

Abstract

Dynamic Stochastic General Equilibrium (DSGE) models are widely used as a tool for policy decision-making. These models lost their fame when they could not predict the crisis in 2008 and could not address policy problems afterward. Meanwhile, the Agent-Based Modelling (ABM) approach emerged as an alternative to DSGE models. Between 2000 and 2020, this study examined scholarly research on the topic of ABM in economics. The information is gathered using the SCOPUS database. Numerous bibliometric indicators are provided, including the total number of publications and citations. The study reveals that agent-based modelling in economics research has grown in recent years. The majority of active research occurs in countries such as the United States of America, and collaboration allows researchers to reach out to many more countries. ABM has the potential to be applied in a wide range of economic fields. ABM also necessitates research into its own development to be used to better understand economic phenomena.

Suggested Citation

  • Ayesha Zehra & Amena Urooj, 2022. "A Bibliometric Analysis of the Developments and Research Frontiers of Agent-Based Modelling in Economics," Economies, MDPI, vol. 10(7), pages 1-13, July.
    • Handle: RePEc:gam:jecomi:v:10:y:2022:i:7:p:171-:d:865752
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    References listed on IDEAS

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    1. Ricardo J. Caballero, 2010. "Macroeconomics after the Crisis: Time to Deal with the Pretense-of-Knowledge Syndrome," Journal of Economic Perspectives, American Economic Association, vol. 24(4), pages 85-102, Fall.
    2. H. Kent Baker & Satish Kumar & Nitesh Pandey, 2020. "A bibliometric analysis of European Financial Managementʼs first 25 years," European Financial Management, European Financial Management Association, vol. 26(5), pages 1224-1260, November.
    3. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2018. "On DSGE Models," Journal of Economic Perspectives, American Economic Association, vol. 32(3), pages 113-140, Summer.
    4. Dirk Tunger & Marc Eulerich, 2018. "Bibliometric analysis of corporate governance research in German-speaking countries: applying bibliometrics to business research using a custom-made database," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2041-2059, December.
    5. Joseph E Stiglitz, 2018. "Where modern macroeconomics went wrong," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(1-2), pages 70-106.
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    Cited by:

    1. Adrian Domenteanu & Bianca Cibu & Camelia Delcea & Liviu-Adrian Cotfas, 2025. "The World of Agent‐Based Modeling: A Bibliometric and Analytical Exploration," Complexity, John Wiley & Sons, vol. 2025(1).
    2. Bratanova, Alexandra, 2023. "Analysis of Australian business and research specialisation in antimicrobial resistance technology," MPRA Paper 118699, University Library of Munich, Germany.
    3. Emiliano Alvarez & Volker Grimm, 2024. "The added value of using the ODD Protocol for agent-based modeling in Economics: go for it!," Working Papers 307, Red Nacional de Investigadores en Economía (RedNIE).

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