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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.

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  • 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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    Cited by:

    1. Susanto Basu & Giacomo Candian & Ryan Chahrour & Rosen Valchev, 2021. "Risky Business Cycles," Boston College Working Papers in Economics 1029, Boston College Department of Economics.
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    3. 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.
    4. Petar Soric & Oscar Claveria, 2021. ""Employment uncertainty a year after the irruption of the covid-19 pandemic"," IREA Working Papers 202112, University of Barcelona, Research Institute of Applied Economics, revised May 2021.
    5. 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.
    6. 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.
    7. 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.
    8. Oscar Claveria & Petar Sorić, 2023. "Labour market uncertainty after the irruption of COVID-19," Empirical Economics, Springer, vol. 64(4), pages 1897-1945, April.
    9. 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.
    10. Hristov, Nikolay & Roth, Markus, 2022. "Uncertainty shocks and systemic-risk indicators," Journal of International Money and Finance, Elsevier, vol. 122(C).
    11. 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).
    12. Giovanni Caggiano & Efrem Castelnuovo, 2023. "Global financial uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 432-449, April.
    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. 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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