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The Quantitative Importance of News Shocks in Estimated DSGE Models

We estimate a dynamic stochastic general equilibrium (DSGE) model with several frictions and both unanticipated and news shocks, using quarterly US data from 1954-2004 and Bayesian methods. We find that unanticipated shocks dominate news shocks in accounting for the unconditional variance of output, consumption, and investment growth, interest rate, and the relative price of investment. The unanticipated shock to the marginal eficiency of investment is the dominant shock, accounting for over 45% of the variance in output growth. News shocks account for less than 15% of the variance in output growth. Within the set of news shocks, non-technology sources of news dominate technology news, with wage markup news shocks accounting for about 60% of the variance share of both hours and ination. We find that in the estimated DSGE model (a) the presence of endogenous countercyclical price and wage markups due tonominal frictions substantially diminishes the importance of news shocks relative to a model without these frictions, and (b) while there is little change in the estimated contributions of technology news when we restrict wealth effects on labour supply, the contributions of non-technology news shocks are relatively more sensitive.

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File URL: http://onlinelibrary.wiley.com/doi/10.1111/j.1538-4616.2012.00543.x/pdf
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Paper provided by Carleton University, Department of Economics in its series Carleton Economic Papers with number 09-07.

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Length: 48 pages
Date of creation: 22 Sep 2009
Date of revision: 22 May 2012
Publication status: Published: Revised version in Journal of Money, Credit and Banking, Vol. 44, No. 8 (December 2012), pp. 1535–1561
Handle: RePEc:car:carecp:09-07
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  1. Beaudry, Paul & Portier, Franck, 2003. "Stock Prices, News and Economic Fluctuations," IDEI Working Papers 158, Institut d'Économie Industrielle (IDEI), Toulouse.
  2. Nir Jaimovich & Sergio Rebelo, 2009. "Can News about the Future Drive the Business Cycle?," American Economic Review, American Economic Association, vol. 99(4), pages 1097-1118, September.
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  11. Alejandro Justiniano & Giorgio E. Primiceri, 2008. "The Time-Varying Volatility of Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 98(3), pages 604-41, June.
  12. John Tsoukala & Hashmat Khan, . "Investment Shocks and the Comovement Problem," Discussion Papers 10/09, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
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  14. Justiniano, Alejandro & Primiceri, Giorgio E. & Tambalotti, Andrea, 2010. "Investment shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 132-145, March.
  15. Smets, Frank & Wouters, Rafael, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," CEPR Discussion Papers 6112, C.E.P.R. Discussion Papers.
  16. Erceg, Christopher J. & Henderson, Dale W. & Levin, Andrew T., 2000. "Optimal monetary policy with staggered wage and price contracts," Journal of Monetary Economics, Elsevier, vol. 46(2), pages 281-313, October.
  17. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
  18. Michelle Alexopoulos, 2010. "Read All About it!! What happens following a technology shock?," Working Papers tecipa-391, University of Toronto, Department of Economics.
  19. Greenwood, Jeremy & Hercowitz, Zvi & Huffman, Gregory W, 1988. "Investment, Capacity Utilization, and the Real Business Cycle," American Economic Review, American Economic Association, vol. 78(3), pages 402-17, June.
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