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Asymmetric impact of uncertainty in recessions: are emerging countries more vulnerable?

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  • Chatterjee Pratiti

    (Department of Economics, 3151 Social Science Plaza, University of California-Irvine, Irvine, CA 92697, USA)

Abstract

This paper asks two questions “Does there exist heterogeneity in the response of macro variables to uncertainty shocks across advanced and emerging countries? and, “How important is the state of the economy for the effects of an uncertainty shock?. I analyze the recession-specific effects of uncertainty for a sample of 8 countries – the US, UK, France, Canada, Mexico, Chile Argentina, and South Korea. The results emphasize asymmetries along two dimensions – (1) An uncertainty shock disproportionately increases the depth and duration of a recession for an emerging country vis-$\grave{a}$a`-vis an advanced economy. Furthermore, I find that openness to trade exacerbates this decline and subsequently the pace of recovery in emerging countries in comparison to advanced economies. (2) Controlling for the state of the economy is crucial when quantifying the effects of an uncertainty shock. I show that a linear model – without regime differentiation – consistently underestimates the response of macroeconomic variables to uncertainty shocks when compared with the predictions from the recessionary regime of the nonlinear model. The extent of this under prediction is again disproportionately larger for emerging countries. The results in conjunction can potentially explain the excess volatility of macro variables for emerging countries during recessionary episodes.

Suggested Citation

  • Chatterjee Pratiti, 2019. "Asymmetric impact of uncertainty in recessions: are emerging countries more vulnerable?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(2), pages 1-27, April.
  • Handle: RePEc:bpj:sndecm:v:23:y:2019:i:2:p:27:n:2
    DOI: 10.1515/snde-2016-0148
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. 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.
    3. Pratiti Chatterjee & David Gunawan & Robert Kohn, 2020. "The Interaction Between Credit Constraints and Uncertainty Shocks," Papers 2004.14719, arXiv.org.
    4. Eicher, Theo S. & Kawai, Reina, 2023. "IMF trade forecasts for crisis countries: Bias, inefficiency, and their origins," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1615-1639.
    5. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2022. "Uncertainty and monetary policy in good and bad times: A replication of the vector autoregressive investigation by Bloom (2009)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 210-217, January.

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    More about this item

    Keywords

    business cycles; emerging countries; recessions; smooth transition vector auto regressions; uncertainty shocks;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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