2012
DOI: 10.2139/ssrn.2198827
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Posterior-Predictive Evidence on US Inflation Using Phillips Curve Models with Non-Filtered Time Series

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Cited by 2 publications
(2 citation statements)
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References 84 publications
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“…Interestingly, even when one sticks to the New Keynesian Phillips curve model the empirical results vary greatly according to the empirical strategy employed(Mavroeidis, Plagborg-Møller, and Stock 2014). 15 Recently,Andrle, Brůha, and Solmaz (2013) andBasturk et al (2013) showed that a blurred relationship between inflation and economic activity resurfaces once one focuses on business cycle frequencies. In this light, extraction of the trend in the rate of inflation seems necessary when analyzing the inflation-real activity nexus.…”
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confidence: 99%
“…Interestingly, even when one sticks to the New Keynesian Phillips curve model the empirical results vary greatly according to the empirical strategy employed(Mavroeidis, Plagborg-Møller, and Stock 2014). 15 Recently,Andrle, Brůha, and Solmaz (2013) andBasturk et al (2013) showed that a blurred relationship between inflation and economic activity resurfaces once one focuses on business cycle frequencies. In this light, extraction of the trend in the rate of inflation seems necessary when analyzing the inflation-real activity nexus.…”
mentioning
confidence: 99%
“…This paper documents strong comovement of output and inflation using a set of nonrestrictive assumptions, rather than constructing a formal semi-structural model of the Phillips curve with many restrictive assumptions about the data-generating process, as in Basistha and Nelson (2007), for instance. 5 Recently, to avoid these restrictive assumptions, Basturk et al (2013) formulated a complex semi-nonparametric model of the New-Keynesian Phillips curve for the U.S. and proposed a computationally intensive Bayesian method to estimate it. Our approach also avoids the restrictive parametric assumptions of previous studies and, by being formulated in the frequency domain, requires only straightforward and transparent calculations.…”
Section: Introductionmentioning
confidence: 99%