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Technological Change and the Roaring Twenties: A Neoclassical Perspective

Author

Listed:
  • Sharon Harrison

    (Barnard College, Columbia University)

  • Mark Weder

    (University of Adelaide)

Abstract

Annualized output growth in the United States was highest during the 1920s, as compared to any other of Fields (2003, 2009) growth cycles. This motivates us to address the causes of the Roaring Twenties in the United States. In particular, we use a version of the real business cycle model to test the hypothesis that an extraordinary pace of productivity growth was the driving factor. Our motivation comes from the abundance of evidence of signi cant technological progress during this period, fed by innovations in manufacturing and the widespread introduction of electricity. Our estimated total factor productivity series generate arti cial model output that shows high conformity with the data: the model economy successfully replicates the boom years from 1922-1929.

Suggested Citation

  • Sharon Harrison & Mark Weder, 2009. "Technological Change and the Roaring Twenties: A Neoclassical Perspective," Working Papers 0902, Barnard College, Department of Economics.
    • Handle: RePEc:brn:wpaper:0902
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    File URL: http://www.econ.barnard.columbia.edu/working_papers/wp0902.pdf
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    Cited by:

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    2. Mark Weder, 2010. "Economic Crisis and Economic Theory," The Economic Record, The Economic Society of Australia, vol. 86(s1), pages 7-12, September.
    3. Jiang, Dou & Weder, Mark, 2021. "American business cycles 1889–1913: An accounting approach," Journal of Macroeconomics, Elsevier, vol. 67(C).
    4. Ristolainen, Kim & Roukka, Tomi & Nyberg, Henri, 2024. "A thousand words tell more than just numbers: Financial crises and historical headlines," Journal of Financial Stability, Elsevier, vol. 70(C).
    5. Peter A.G. van Bergeijk, 2019. "Deglobalization 2.0," Books, Edward Elgar Publishing, number 18560, August.
    6. Hajkowicz, Stefan & Naughtin, Claire & Sanderson, Conrad & Schleiger, Emma & Karimi, Sarvnaz & Bratanova, Alexandra & Bednarz, Tomasz, 2022. "Artificial intelligence for science – adoption trends and future development pathways," MPRA Paper 115464, University Library of Munich, Germany.
    7. Hajkowicz, Stefan & Sanderson, Conrad & Karimi, Sarvnaz & Bratanova, Alexandra & Naughtin, Claire, 2023. "Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021," Technology in Society, Elsevier, vol. 74(C).

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    Keywords

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    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • N12 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - U.S.; Canada: 1913-

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