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An Agenda for Reforming Economic Theory

Author

Listed:
  • Joseph E. Stiglitz

    (Business School, Graduate School of Arts and Sciences (Department of Economics) and School of International and Public Affairs, Columbia University, New York, NY 10027, USA; Chief Economist of The Roosevelt Institute)

Abstract

In this article, Nobel Prize Laureate Joseph Stiglitz argues that the standard macro-economic paradigm has failed not only to predict the crisis but also to provide insights into the design of a regulatory framework that would make a recurrence less likely. He points out that many of the underlying assumptions of the standard paradigm always seemed implausible and many of its predictions, such as those concerning the micro-economic behavior of the constituents (firms and households), are inconsistent with the empirical evidence. He then identifies a number of key modeling challenges, what he views as key ingredients that have to be incorporated in any model that is going to describe economic fluctuations or be the basis of a well-designed regulatory or monetary framework.

Suggested Citation

  • Joseph E. Stiglitz, 2019. "An Agenda for Reforming Economic Theory," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 14(2), pages 149-167, June.
    • Handle: RePEc:fec:journl:v:14:y:2019:i:2:p:149-167
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    Download full text from publisher

    File URL: http://journal.hep.com.cn/fec/EN/10.3868/s060-008-019-0009-3
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    Citations

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    Cited by:

    1. Magdalena Rzemieniak & Monika Wawer, 2021. "Employer Branding in the Context of the Company’s Sustainable Development Strategy from the Perspective of Gender Diversity of Generation Z," Sustainability, MDPI, vol. 13(2), pages 1-24, January.
    2. Mariotti, Marco & Wen, Quan, 2021. "A noncooperative foundation of the competitive divisions for bads," Journal of Economic Theory, Elsevier, vol. 194(C).
    3. Xiaofeng Liu, 2019. "A Contribution to Theory of Factor Income Distribution, Cambridge Capital Controversy and Equity Premium Puzzle," Papers 1911.12490, arXiv.org, revised Dec 2019.
    4. Darong Dai, 2020. "Voting over selfishly optimal tax schedules: Can Pigouvian tax redistribute income?," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(5), pages 1660-1686, September.
    5. Dai, Darong & Gao, Wenzheng & Tian, Guoqiang, 2020. "Relativity, mobility, and optimal nonlinear income taxation in an open economy," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 57-82.
    6. Darong Dai & Dennis W. Jansen & Liqun Liu, 2021. "Inter-jurisdiction migration and the fiscal policies of local governments," Journal of Economics, Springer, vol. 132(2), pages 133-164, March.
    7. Yang, Zhe, 2020. "The weak α-core of exchange economies with a continuum of players and pseudo-utilities," Journal of Mathematical Economics, Elsevier, vol. 91(C), pages 43-50.
    8. Dai, Darong & Tian, Guoqiang, 2021. "Toward longer investment: Is an inclusive regime always better than an authoritarian one?," Economic Modelling, Elsevier, vol. 98(C), pages 41-68.
    9. Houba, Harold & Li, Duozhe & Wen, Quan, 2022. "Bargaining with costly competition for the right to propose," Journal of Mathematical Economics, Elsevier, vol. 98(C).

    More about this item

    Keywords

    macro-economic models; market failures; financial crises; systemic risk; regulatory framework;
    All these keywords.

    JEL classification:

    • B15 - Schools of Economic Thought and Methodology - - History of Economic Thought through 1925 - - - Historical; Institutional; Evolutionary
    • B22 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Macroeconomics
    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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