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Uncertainty shocks and the great recession: Nonlinearities matter

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  • Caggiano, Giovanni
  • Castelnuovo, Efrem
  • Pellegrino, Giovanni

Abstract

We show that a nonlinear DSGE framework estimated on moments (impulse responses) specific to the great recession implies a peak response of the cyclical component of output to an uncertainty shock 50% larger than the one predicted by the very same model estimated on moments implied by a standard linear VAR. As an implication, the DSGE framework estimated on impulse responses generated with the nonlinear VAR assigns to the 2008Q4 uncertainty shock a contribution of about 60% as regards the output loss experienced by the US economy during and after the great recession. The same DSGE framework estimated by matching the impulse responses of the linear VAR severely underestimates such contribution.

Suggested Citation

  • Caggiano, Giovanni & Castelnuovo, Efrem & Pellegrino, Giovanni, 2021. "Uncertainty shocks and the great recession: Nonlinearities matter," Economics Letters, Elsevier, vol. 198(C).
  • Handle: RePEc:eee:ecolet:v:198:y:2021:i:c:s0165176520304298
    DOI: 10.1016/j.econlet.2020.109669
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    5. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2020. "Uncertainty and monetary policy in good and bad times: A Replication of the VAR investigation by Bloom (2009)," CAMA Working Papers 2020-74, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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    17. Giovanni Pellegrino & Federico Ravenna & Gabriel Züllig, 2021. "The Impact of Pessimistic Expectations on the Effects of COVID‐19‐Induced Uncertainty in the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 841-869, August.
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    Cited by:

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    2. Susanto Basu & Giacomo Candian & Ryan Chahrour & Rosen Valchev, 2021. "Risky Business Cycles," Boston College Working Papers in Economics 1029, Boston College Department of Economics, revised 17 Sep 2024.
    3. Francisco Serranito & Julien Vauday & Nicolas Himounet, 2022. "A Positive Effect of Uncertainty Shocks on the Economy: Is the Chase Over ?," EconomiX Working Papers 2022-26, University of Paris Nanterre, EconomiX.
    4. Efrem Castelnuovo, 2022. "Uncertainty Before and During COVID-19: A Survey," "Marco Fanno" Working Papers 0279, Dipartimento di Scienze Economiche "Marco Fanno".
    5. Hristov, Nikolay & Roth, Markus, 2022. "Uncertainty shocks and systemic-risk indicators," Journal of International Money and Finance, Elsevier, vol. 122(C).
    6. Petar Soric & Oscar Claveria, 2021. "“Employment uncertainty a year after the irruption of the covid-19 pandemic”," AQR Working Papers 202104, University of Barcelona, Regional Quantitative Analysis Group, revised May 2021.
    7. Himounet, Nicolas, 2022. "Searching the nature of uncertainty: Macroeconomic and financial risks VS geopolitical and pandemic risks," International Economics, Elsevier, vol. 170(C), pages 1-31.
    8. Corrêa, Wilson Luiz Rotatori & Lopes, Luckas Sabioni, 2023. "Monetary policy transmission, productive activity, and inflation in Brazil: Does uncertainty matter?," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    9. Giovanni Caggiano & Efrem Castelnuovo, 2023. "Global financial uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 432-449, April.
    10. Josué Diwambuena & Jean-Paul K. Tsasa, 2021. "The Real Effects of Uncertainty Shocks: New Evidence from Linear and Nonlinear SVAR Models," BEMPS - Bozen Economics & Management Paper Series BEMPS87, Faculty of Economics and Management at the Free University of Bozen.
    11. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2021. "Uncertainty and Forecastability of Regional Output Growth in the United Kingdom: Evidence from Machine Learning," Working Papers 202111, University of Pretoria, Department of Economics.
    12. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2022. "Uncertainty and forecastability of regional output growth in the UK: Evidence from machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1049-1064, September.
    13. Maghyereh, Aktham & Awartani, Basel & Abdoh, Hussein, 2022. "Asymmetric risk transfer in global equity markets: An extended sample that includes the COVID pandemic period," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    14. Oscar Claveria & Petar Sorić, 2023. "Labour market uncertainty after the irruption of COVID-19," Empirical Economics, Springer, vol. 64(4), pages 1897-1945, April.
    15. Grimme, Christian & Henzel, Steffen, 2023. "Uncertainty Shocks in Times of Low and High Uncertainty," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277629, Verein für Socialpolitik / German Economic Association.

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    More about this item

    Keywords

    Uncertainty shock; Nonlinear IVAR; Nonlinear DSGE framework; Minimum-distance estimation; Great recession;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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