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Economic Policy Uncertainty and Unemployment in the United States: A Nonlinear Approach

Author

Listed:
  • Giovanni Caggiano
  • Efrem Castelnuovo
  • Juan Manuel Figueres

Abstract

We model U.S. post-WWII monthly data with a Smooth Transition VAR model and study the effects of an unanticipated increase in economic policy uncertainty on unemployment in recessions and expansions. We find the response of unemployment to be statistically and economically larger in recessions. A state-contingent forecast error variance decomposition analysis confirms that the contribution of EPU shocks to the volatility of unemployment at business cycle frequencies is markedly larger in recessions.

Suggested Citation

  • Giovanni Caggiano & Efrem Castelnuovo & Juan Manuel Figueres, 2018. "Economic Policy Uncertainty and Unemployment in the United States: A Nonlinear Approach," CESifo Working Paper Series 7105, CESifo Group Munich.
  • Handle: RePEc:ces:ceswps:_7105
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    References listed on IDEAS

    as
    1. Nodari, Gabriela, 2014. "Financial regulation policy uncertainty and credit spreads in the US," Journal of Macroeconomics, Elsevier, vol. 41(C), pages 122-132.
    2. repec:taf:jnlbes:v:34:y:2016:i:4:p:574-589 is not listed on IDEAS
    3. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, Oxford University Press, vol. 131(4), pages 1593-1636.
    4. Fleissig, 2015. "Changes in aggregate food demand over the business cycle," Applied Economics Letters, Taylor & Francis Journals, vol. 22(17), pages 1366-1371, November.
    5. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    6. Timo Teräsvirta & Yukai Yang, 2014. "Linearity and Misspecification Tests for Vector Smooth Transition Regression Models," CREATES Research Papers 2014-04, Department of Economics and Business Economics, Aarhus University.
    7. ., 2015. "Income distribution and the business cycle," Chapters,in: The New Economics of Income Distribution, chapter 5, pages 96-122 Edward Elgar Publishing.
    8. Markku Lanne & Henri Nyberg, 2016. "Generalized Forecast Error Variance Decomposition for Linear and Nonlinear Multivariate Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(4), pages 595-603, August.
    9. Michael W. McCracken & Serena Ng, 2016. "FRED-MD: A Monthly Database for Macroeconomic Research," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 574-589, October.
    10. Matteo Cacciatore, 2015. "Uncertainty and the Business Cycle," 2015 Meeting Papers 1440, Society for Economic Dynamics.
    11. James Morley & Jeremy Piger, 2012. "The Asymmetric Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 208-221, February.
    12. Scott R. Baker & Nicholas Bloom & Brandice Canes-Wrone & Steven J. Davis & Jonathan Rodden, 2014. "Why Has US Policy Uncertainty Risen since 1960?," American Economic Review, American Economic Association, vol. 104(5), pages 56-60, May.
    13. 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.
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    More about this item

    Keywords

    economic policy uncertainty shocks; unemployment dynamics; Smooth Transition Vector AutoRegressions; recessions; expansions;

    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
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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