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The Quantitative Importance of News Shocks in Estimated DSGE Models

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Abstract

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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Bibliographic Info

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 forthcoming in Journal of Money, Credit and Banking
Handle: RePEc:car:carecp:09-07

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Keywords: News shocks; Business cycles; DSGE models;

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  1. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2008. "Investment shocks and business cycles," Working Paper Series WP-08-12, Federal Reserve Bank of Chicago.
  2. John Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.
  3. Hashmat Khan & John Tsoukalas, 2009. "Investment Shocks and the Comovement Problem," Carleton Economic Papers 09-09, Carleton University, Department of Economics, revised 09 Aug 2010.
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  6. Michelle Alexopoulos, 2011. "Read All about It!! What Happens Following a Technology Shock?," American Economic Review, American Economic Association, vol. 101(4), pages 1144-79, June.
  7. Justiniano, Alejandro & Primiceri, Giorgio E. & Tambalotti, Andrea, 2009. "Investment Shocks and the Relative Price of Investment," CEPR Discussion Papers 7598, C.E.P.R. Discussion Papers.
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  14. Ippei Fujiwara & Yasuo Hirose & Mototsugu Shintani, 2011. "Can News Be a Major Source of Aggregate Fluctuations? A Bayesian DSGE Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 1-29, 02.
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  1. The Quantitative Importance of News Shocks in Estimated DSGE Models
    by Christian Zimmermann in NEP-DGE blog on 2009-10-06 15:53:14
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