2007
DOI: 10.1111/j.1538-4616.2007.00047.x
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Monetary and Fiscal Policy Switching

Abstract: Abstract. A growing body of evidence finds that policy reaction functions vary substantially over different periods in the United States. This paper explores how moving to an environment in which monetary and fiscal regimes evolve according to a Markov process can change the impacts of policy shocks. In one regime monetary policy follows the Taylor principle and taxes rise strongly with debt; in another regime the Taylor principle fails to hold and taxes are exogenous. An example shows that a unique bounded no… Show more

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Cited by 106 publications
(109 citation statements)
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References 72 publications
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“…2 Work along these lines is more limited, but includes Leeper and Zha (2003), Davig and Leeper (2006), Chung, Davig, and Leeper (2007), and Davig and Leeper (2007), Svensson andWilliams (2007, 2008), Bianchi (2009), andFarmer, Zha, andWaggoner (2009)…”
Section: Introductionmentioning
confidence: 99%
“…2 Work along these lines is more limited, but includes Leeper and Zha (2003), Davig and Leeper (2006), Chung, Davig, and Leeper (2007), and Davig and Leeper (2007), Svensson andWilliams (2007, 2008), Bianchi (2009), andFarmer, Zha, andWaggoner (2009)…”
Section: Introductionmentioning
confidence: 99%
“…In such richer environments, the validity of the FTPL would depend on the frequency and duration of low-rate episodes, in ways that could be analyzed using a regime-switching model such as Chung, Davig, and Leeper [8] and Davig and…”
mentioning
confidence: 99%
“…Formally, the fiscal policy rule is presented as follows: where the target deficit consists of a cyclically adjusted target deficit, , and a term allowing for the counter‐cyclical component of fiscal policy, , assumed proportional to the output gap. Importantly, we allow for regime dependence in the policy rule (see also Davig, 2004; Davig and Leeper, 2005; and Chung et al ., 2007). The regime dependence follows from the dependence of the parameters in the policy rule on the regime variable The regime variable s t is assumed to follow the first‐order Markov process with transition matrix P , whose element is : …”
Section: Policy Regimesmentioning
confidence: 99%