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The nonlinear effects of uncertainty shocks

Author

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  • Jackson Laura E.

    (Department of Economics, Bentley University, 175 Forest Street, Waltham, MA 02452, USA)

  • Kliesen Kevin L.

    (Research Division, Federal Reserve Bank of St. Louis, St. Louis, MO, USA)

  • Owyang Michael T.

    (Research Division, Federal Reserve Bank of St. Louis, St. Louis, MO, USA)

Abstract

We consider the effects of uncertainty shocks in a nonlinear VAR that allows uncertainty to have amplification effects. When uncertainty is relatively low, fluctuations in uncertainty have small, linear effects. In periods of high uncertainty, the effect of a further increase in uncertainty is magnified. We find that uncertainty shocks in this environment have a more pronounced effect on real economic variables. We also conduct counterfactual experiments to determine the channels through which uncertainty acts. Uncertainty propagates through both the household consumption channel and through businesses delaying investment, providing substantial contributions to the decline in GDP observed after uncertainty shocks. Finally, we find evidence of the ability of systematic monetary policy to mitigate the adverse effects of uncertainty shocks.

Suggested Citation

  • Jackson Laura E. & Kliesen Kevin L. & Owyang Michael T., 2020. "The nonlinear effects of uncertainty shocks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-19, September.
  • Handle: RePEc:bpj:sndecm:v:24:y:2020:i:4:p:19:n:6
    DOI: 10.1515/snde-2019-0024
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    References listed on IDEAS

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    1. Caggiano, Giovanni & Castelnuovo, Efrem & Pellegrino, Giovanni, 2017. "Estimating the real effects of uncertainty shocks at the Zero Lower Bound," European Economic Review, Elsevier, vol. 100(C), pages 257-272.
    2. Susanto Basu & Brent Bundick, 2017. "Uncertainty Shocks in a Model of Effective Demand," Econometrica, Econometric Society, vol. 85, pages 937-958, May.
    3. Shujaat Khan & Edward S. Knotek, 2011. "How do households respond to uncertainty shocks?," Economic Review, Federal Reserve Bank of Kansas City, vol. 96(Q II).
    4. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2014. "Uncertainty and Monetary Policy in Good and Bad Times," "Marco Fanno" Working Papers 0188, Dipartimento di Scienze Economiche "Marco Fanno".
    5. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    6. James H. Stock & Mark W. Watson, 2012. "Disentangling the Channels of the 2007-09 Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(1 (Spring), pages 81-156.
    7. Barbara Rossi & Tatevik Sekhposyan, 2015. "Macroeconomic Uncertainty Indices Based on Nowcast and Forecast Error Distributions," American Economic Review, American Economic Association, vol. 105(5), pages 650-655, May.
    8. Minchul Shin & Molin Zhong, 2020. "A New Approach to Identifying the Real Effects of Uncertainty Shocks," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 367-379, April.
    9. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    10. Ben S. Bernanke, 1983. "Irreversibility, Uncertainty, and Cyclical Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(1), pages 85-106.
    11. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    12. Scotti, Chiara, 2016. "Surprise and uncertainty indexes: Real-time aggregation of real-activity macro-surprises," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 1-19.
    13. Herrera, Ana Maria & Hamilton, James D., 2001. "Oil Shocks and Aggregate Macroeconomic Behavior: The Role of Monetary Policy," University of California at San Diego, Economics Working Paper Series qt4qp0p0v5, Department of Economics, UC San Diego.
    14. Jae Sim & Egon Zakrajsek & Simon Gilchrist, 2010. "Uncertainty, Financial Frictions, and Investment Dynamics," 2010 Meeting Papers 1285, Society for Economic Dynamics.
    15. Campbell, Sean D., 2007. "Macroeconomic Volatility, Predictability, and Uncertainty in the Great Moderation: Evidence From the Survey of Professional Forecasters," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 191-200, April.
    16. Hamilton, James D & Herrera, Ana Maria, 2004. "Oil Shocks and Aggregate Macroeconomic Behavior: The Role of Monetary Policy: Comment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(2), pages 265-286, April.
    17. Alan Greenspan, 2004. "Risk and Uncertainty in Monetary Policy," American Economic Review, American Economic Association, vol. 94(2), pages 33-40, May.
    18. repec:zbw:bofrdp:2017_008 is not listed on IDEAS
    19. Leduc, Sylvain & Liu, Zheng, 2016. "Uncertainty shocks are aggregate demand shocks," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 20-35.
    20. James H. Stock & Mark W. Watson, 2012. "Disentangling the Channels of the 2007-09 Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 44(1 (Spring), pages 81-156.
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    Cited by:

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    2. Hristov, Nikolay & Roth, Markus, 2022. "Uncertainty shocks and systemic-risk indicators," Journal of International Money and Finance, Elsevier, vol. 122(C).
    3. Laura E. Jackson & Kevin L. Kliesen & Michael T. Owyang, 2019. "A Bad Moon Rising? Uncertainty Shocks and Economic Outcomes," Economic Synopses, Federal Reserve Bank of St. Louis, issue 6, March.
    4. Amarila, Mark Reniel M. & Abueg, Luisito C., 2022. "Do Philippine Stocks Catch Coronavirus? Some Econometric Check-up on Pandemic Data, 2021-2022," Journal of Economics, Management & Agricultural Development, Journal of Economics, Management & Agricultural Development (JEMAD), vol. 8(1), December.
    5. Chikhale, Nisha, 2023. "The effects of uncertainty shocks: Implications of wealth inequality," European Economic Review, Elsevier, vol. 154(C).
    6. 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.
    7. Hernández Vega Marco A., 2021. "The Nonlinear Effect of Uncertainty in Portfolio Flows to Mexico," Working Papers 2021-11, Banco de México.
    8. Ademmer, Martin & Boysen-Hogrefe, Jens & Fiedler, Salomon & Groll, Dominik & Jannsen, Nils & Kooths, Stefan & Mösle, Saskia & Potjagailo, Galina, 2019. "Deutsche Konjunktur im Sommer 2019 - Deutsche Konjunktur im Sinkflug [German Economy Summer 2019 - German economy falters]," Kieler Konjunkturberichte 56, Kiel Institute for the World Economy (IfW Kiel).
    9. Kevin L Kliesen, 2023. "A Comparison of Fed "Tightening" Episodes since the 1980s," International Journal of Central Banking, International Journal of Central Banking, vol. 19(3), pages 423-450, August.
    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. Ojeda-Joya, Jair & Romero, José Vicente, 2023. "Global uncertainty shocks and exchange-rate expectations in Latin America," Economic Modelling, Elsevier, vol. 120(C).
    12. 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.
    13. Jerow, Sam & Wolff, Jonathan, 2022. "Fiscal policy and uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 145(C).
    14. Suah, Jing Lian, 2020. "Uncertainty and Exchange Rates: Global Dynamics (Well, I Don't Quite Know Anymore)," MPRA Paper 109087, University Library of Munich, Germany.
    15. Christian Grimme & Steffen Henzel, 2020. "Increasing Business Uncertainty and Credit Conditions in Times of Low and High Uncertainty: Evidence from Firm-Level Survey Data," CESifo Working Paper Series 8791, CESifo.

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    More about this item

    Keywords

    generalized impulse response functions; monetary policy; time-varying threshold VAR; uncertainty;
    All these keywords.

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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