2010
DOI: 10.1016/b978-0-444-53238-1.00007-7
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DSGE Models for Monetary Policy Analysis

Abstract: Monetary DSGE models are widely used because they fit the data well and they can be used to address important monetary policy questions. We provide a selective review of these developments. Policy analysis with DSGE models requires using data to assign numerical values to model parameters. The chapter describes and implements Bayesian moment matching and impulse response matching procedures for this purpose.

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Cited by 172 publications
(59 citation statements)
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References 91 publications
(153 reference statements)
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“…Let GDPt denote the total real flow of consumable resources GDPt=Ct+Ft+Gt,as in Christiano et al. (), with gdpt being its logarithm.…”
Section: The Modelmentioning
confidence: 99%
“…Let GDPt denote the total real flow of consumable resources GDPt=Ct+Ft+Gt,as in Christiano et al. (), with gdpt being its logarithm.…”
Section: The Modelmentioning
confidence: 99%
“… Christiano, Trabandt, and Walentin (2009) follow a similar approach to deal with the strong wealth effect problem. In a subsequent paper (Christiano, Trabandt, and Walentin 2010) the same authors propose an alternative model, where the probability of finding a job is increasing in search effort, and where imperfect risk sharing among individuals is a consequence of the unobservability of effort.…”
mentioning
confidence: 99%
“…For example, see Gilchrist and Williams () for multi‐period investment projects and Christiano et al. () for working capital to pay for the wage bill.…”
mentioning
confidence: 99%