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Secular Bipolar Growth Rate of the Real US GDP Per Capita: Implications for Understanding Past and Future Economic Growth

Author

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  • Sandro Claudio LERA

    (ETH Zurich)

  • Didier SORNETTE

    (ETH Zurich and Swiss Finance Institute)

Abstract

We present a quantitative characterisation of the fluctuations of the annualized growth rate of the real US GDP per capita growth at many scales, using a wavelet transform analysis of two data sets, quarterly data from 1947 to 2015 and annual data from 1800 to 2010. Our main finding is that the distribution of GDP growth rates can be well approximated by a bimodal function associated to a series of switches between regimes of strong growth rate Phigh and regimes of low growth rate Plow. The succession of such two regimes compounds to produce a remarkably stable long term average real annualized growth rate of 1.6% from 1800 to 2010 and approximately 2.0% since 1950, which is the result of a subtle compensation between the high and low growth regimes that alternate continuously. Thus, the overall growth dynamics of the US economy is punctuated, with phases of strong growth that are intrinsically unsustainable, followed by corrections or consolidation until the next boom starts. We interpret these findings within the theory of “social bubbles” and argue as a consequence that estimations of the cost of the 2008 crisis may be misleading. We also interpret the absence of strong recovery since 2008 as a protracted low growth regime Plow associated with the exceptional nature of the preceding large growth regime.

Suggested Citation

  • Sandro Claudio LERA & Didier SORNETTE, 2015. "Secular Bipolar Growth Rate of the Real US GDP Per Capita: Implications for Understanding Past and Future Economic Growth," Swiss Finance Institute Research Paper Series 15-62, Swiss Finance Institute.
  • Handle: RePEc:chf:rpseri:rp1562
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    Cited by:

    1. Zhang, Qunzhi & Sornette, Didier & Balcilar, Mehmet & Gupta, Rangan & Ozdemir, Zeynel Abidin & Yetkiner, Hakan, 2016. "LPPLS bubble indicators over two centuries of the S&P 500 index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 126-139.
    2. Ardila, Diego & Sornette, Didier, 2016. "Dating the financial cycle with uncertainty estimates: a wavelet proposition," Finance Research Letters, Elsevier, vol. 19(C), pages 298-304.

    More about this item

    Keywords

    Wavelet transform; Economic growth; GDP per capita; Business cycle;
    All these keywords.

    JEL classification:

    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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