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Practical tools for policy analysis in DSGE models with missing channels

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Abstract

In this paper we analyze the propagation of shocks originating in sectors that are not present in a baseline dynamic stochastic general equilibrium (DSGE) model. Specifically, we proxy the missing sector through a small set of factors, that feed into the structural shocks of the DSGE model to create correlated disturbances. We estimate the factor structure by matching impulse responses of the augmented DSGE model to those generated by an auxiliary model. We apply this methodology to track the effects of oil shocks and housing demand shocks in models without energy and housing sectors.

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  • Dario Caldara & Richard Harrison & Anna Lipinska, 2012. "Practical tools for policy analysis in DSGE models with missing channels," Finance and Economics Discussion Series 2012-72, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgfe:2012-72
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    1. Practical tools for policy analysis in DSGE models with missing channels
      by Christian Zimmermann in NEP-DGE blog on 2012-10-31 19:21:16

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    2. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers CWP21/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

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