Real and Nominal Rigidities in Price Setting: A Bayesian Analysis Using Aggregate Data
AbstractThis paper uses the Bayesian approach to solve and estimate a New Keynesian model augmented by a generalized Phillips curve, in which the shape of the price reset hazards can be identi ed using aggregate data. My empirical result shows that a constant hazard function is easily rejected by the data. The empirical hazard function for post-1983 periods in the U.S. is consistent with micro evidence obtained using data from similar periods. The hazard for pre-1983 periods, however, exhibits a remarkable increasing pattern, implying that pricing decisions are characterized by both time- and state-dependent aspects. Additionally, real rigidity plays an important role, but not as big a role as found in empirical studies using limited information methods.
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Bibliographic InfoPaper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number SFB649DP2009-057.
Length: 36 pages
Date of creation: Nov 2009
Date of revision:
Real rigidity; Nominal rigidity; Hazard function; Bayesian estimation;
Find related papers by JEL classification:
- E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-11-27 (All new papers)
- NEP-CBA-2009-11-27 (Central Banking)
- NEP-MAC-2009-11-27 (Macroeconomics)
- NEP-ORE-2009-11-27 (Operations Research)
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