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Journal of Monetary Economics
Article . 1999 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Inflation Dynamics: A Structural Econometric Analysis

Authors: Jordi Galí; Mark Gertler;

Inflation Dynamics: A Structural Econometric Analysis

Abstract

We develop and estimate a structural model of inflation that allows for a fraction of firms that use a backward-looking rule to set prices. The model nests the purely forward-looking New Keynesian Phillips curve as a particular case. We use measures of marginal cost as the relevant determinant of inflation, as the theory suggests, instead of an ad hoc output gap. Real marginal costs are a significant and quantitatively important determinant of inflation. Backward-looking price setting, while statistically significant, is not quantitatively important. Thus, we conclude that the New Keynesian Phillips curve provides a good first approximation to the dynamics of inflation.

Country
Spain
Related Organizations
Keywords

inflation persistence, new keynesian models, New Keynesian models, Phillips curve, sticky prices, inflation persistence, Macroeconomics and International Economics, sticky prices, phillips curve, jel: jel:E32, jel: jel:E31

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2K
Top 0.1%
Top 0.1%
Top 1%
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hybrid