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Is the Macroeconomy Locally Unstable and Why Should We Care?

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  • Paul Beaudry
  • Dana Galizia
  • Franck Portier

Abstract

In most modern macroeconomic models, the steady state (or balanced growth path) of the system is a local attractor, in the sense that, in the absence of shocks, the economy would converge to the steady state. In this chapter, we examine whether the time-series behavior of macroeconomic aggregates (especially labor market aggregates) is in fact supportive of this local-stability view of macroeconomic dynamics, or if it instead favors an alternative interpretation in which the macroeconomy may be better characterized as being locally unstable, with nonlinear deterministic forces capable of producing endogenous cyclical behavior. To do this, we extend a standard AR representation of the data to allow for smooth nonlinearities. Our main finding is that, even using a procedure that may have low power to detect local instability, the data provide intriguing support for the view that the macroeconomy may be locally unstable and involve limit-cycle forces. An interesting finding is that the degree of nonlinearity we detect in the data is small, but nevertheless enough to alter the description of macroeconomic behavior. We complete the chapter with a discussion of the extent to which these two different views about the inherent dynamics of the macroeconomy may matter for policy.

Suggested Citation

  • Paul Beaudry & Dana Galizia & Franck Portier, 2017. "Is the Macroeconomy Locally Unstable and Why Should We Care?," NBER Macroeconomics Annual, University of Chicago Press, vol. 31(1), pages 479-530.
  • Handle: RePEc:ucp:macann:doi:10.1086/690244
    DOI: 10.1086/690244
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    1. Chao Gu & Fabrizio Mattesini & Cyril Monnet & Randall Wright, 2013. "Endogenous Credit Cycles," Journal of Political Economy, University of Chicago Press, vol. 121(5), pages 940-965.
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    Cited by:

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    2. Pelgrin, Florian & Venditti, Alain, 2022. "On the long-run fluctuations of inheritance in two-sector OLG models," Journal of Mathematical Economics, Elsevier, vol. 101(C).
    3. Hashimoto, Ken-ichi & Im, Ryonghun & Kunieda, Takuma & Shibata, Akihisa, 2022. "Financial destabilization," Journal of Mathematical Economics, Elsevier, vol. 103(C).
    4. Barrales-Ruiz, Jose & Arnim, Rudiger von, 2021. "Endogenous fluctuations in demand and distribution: An empirical investigation," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 204-220.
    5. Joseph Haslag, 2019. "On Processing Central Bank Communications: Can We Account for Fed Watching?," 2019 Meeting Papers 415, Society for Economic Dynamics.
    6. Filippo Gusella & Engelbert Stockhammer, 2021. "Testing fundamentalist–momentum trader financial cycles: An empirical analysis via the Kalman filter," Metroeconomica, Wiley Blackwell, vol. 72(4), pages 758-797, November.
    7. Dana Galizia, 2021. "Saddle cycles: Solving rational expectations models featuring limit cycles (or chaos) using perturbation methods," Quantitative Economics, Econometric Society, vol. 12(3), pages 869-901, July.
    8. repec:hal:spmain:info:hdl:2441/hiaqa97n684boj041a440irqd is not listed on IDEAS
    9. Skott, Peter, 2023. "Endogenous business cycles and economic policy," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 61-82.
    10. Frédéric Dufourt & Kazuo Nishimura & Alain Venditti, 2022. "Expectations, self-fulfilling prophecies and the business cycle," Working Papers hal-03923946, HAL.
    11. repec:hal:spmain:info:hdl:2441/4h9cnu4n2k8tfri093jil1d739 is not listed on IDEAS
    12. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "Causes et consequences of hysteresis : aggregate demand, productivity and employment," Sciences Po publications info:hdl:2441/hiaqa97n684, Sciences Po.
    13. Brannan, James, 2019. "On natural slow time rhythms in economic growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    14. G Dosi & M C Pereira & A Roventini & M E Virgillito, 2018. "Causes and consequences of hysteresis: aggregate demand, productivity, and employment," Industrial and Corporate Change, Oxford University Press, vol. 27(6), pages 1015-1044.
    15. Karsten Kohler & Robert Calvert Jump, 2022. "Estimating Nonlinear Business Cycle Mechanisms with Linear Vector Autoregressions: A Monte Carlo Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1077-1100, October.
    16. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "Causes et consequences of hysteresis : aggregate demand, productivity and employment," Sciences Po publications info:hdl:2441/4h9cnu4n2k8, Sciences Po.

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    More about this item

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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