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Does the Secular Stagnation hypothesis match the data? Evidence from the USA

Author

Listed:
  • Andrea Borsato

    (Univ Newcastle, Sch Environm & Life Sci, Callaghan, NSW 2308, Australia, BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

This paper focusses on Secular Stagnation in the United States. It answers to two research questions. First: is Secular Stagnation a fact? Second: conditional to the previous reply, how does the literature meet the qualitative and quantitative evidence? I focus on historical annual data related to the USA from 1870 onwards. The contribution to the debate is manifold. Firstly, I provide a careful systematization of the concept and explain why this definition is crucial for the topic analysis. Secondly, I talk about Secular Stagnation in terms of labor and multifactor productivity growth: their decline since the 1970s is not comparable to any previous shortfall. Thirdly, the definition allows to evaluate whether present-day debates on the phenomenon are supported by data, but it also lets to disentangle the most relevant channels through which Secular Stagnation emerges. Therefore, I carry out a comparative validation exercise on the different lines of thought. Finally, as long as Secular Stagnation is confirmed as empirical evidence, also policy implications can be drawn from the different theoretical frameworks. Despite the several contrasting approaches and viewpoints, I trace out a complementary in policy implications.

Suggested Citation

  • Andrea Borsato, 2023. "Does the Secular Stagnation hypothesis match the data? Evidence from the USA," Post-Print hal-04272117, HAL.
    • Handle: RePEc:hal:journl:hal-04272117
    DOI: 10.1080/01603477.2023.2242346
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    Cited by:

    1. Borsato, Andrea & Lorentz, André, 2023. "The Kaldor–Verdoorn law at the age of robots and AI," Research Policy, Elsevier, vol. 52(10).

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