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Stochastic Volatility in the U.S. Labor Market

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Listed author(s):
  • Dennis, Wesselbaum

Abstract

In state-of-the-art macroeconomic and labor market models shocks are assumed to be homoscedastic. However, we show that this assumption is much too restrictive. We �find signifi�cant evidence for strong time-varying volatility in all considered labor market time series. First, we estimate the unconditional variance-covariance matrix and �find signi�cant evidence for time variability. Second, we estimate the conditional variance-covariance matrix and discuss the time-varying risk contained in labor market variables. The implications are relevant for modelling purposes, welfare analysis, and the understanding of sources of fl�uctuations.

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File URL: https://mpra.ub.uni-muenchen.de/43054/1/MPRA_paper_43054.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 43054.

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Date of creation: 29 Nov 2012
Handle: RePEc:pra:mprapa:43054
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Keywords: Dynamic Correlation; Multivariate GARCH; Stochastic Volatility;

Find related papers by JEL classification:

  • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
  • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
  • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General

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  1. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
  2. Mortensen, Dale & Pissarides, Christopher, 2011. "Job Creation and Job Destruction in the Theory of Unemployment," Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 1-19.
  3. Silvennoinen, Annastiina & Teräsvirta, Timo, 2007. "Multivariate GARCH models," SSE/EFI Working Paper Series in Economics and Finance 669, Stockholm School of Economics, revised 18 Jan 2008.
  4. Fernández-Villaverde, Jesús & Rubio-Ramírez, Juan Francisco, 2010. "Macroeconomics and Volatility: Data, Models, and Estimation," CEPR Discussion Papers 8169, C.E.P.R. Discussion Papers.
  5. Nicholas Bloom & Max Floetotto & Nir Jaimovich & Itay Saporta-Eksten & Stephen J. Terry, 2012. "Really Uncertain Business Cycles," NBER Working Papers 18245, National Bureau of Economic Research, Inc.
  6. Christopher A. Sims & Tao Zha, 2006. "Were There Regime Switches in U.S. Monetary Policy?," American Economic Review, American Economic Association, vol. 96(1), pages 54-81, March.
  7. James D. Hamilton, 2008. "Macroeconomics and ARCH," NBER Working Papers 14151, National Bureau of Economic Research, Inc.
  8. Engle, Robert F & Sheppard, Kevin K, 2001. "Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH," University of California at San Diego, Economics Working Paper Series qt5s2218dp, Department of Economics, UC San Diego.
  9. Robert Shimer, 2012. "Reassessing the Ins and Outs of Unemployment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(2), pages 127-148, April.
  10. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
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