Identifying the new Keynesian Phillips curve

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Identifying the new Keynesian Phillips curve
James M. Nason, James M. Nason
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Last edited by MARC Bot
December 13, 2020 | History

Identifying the new Keynesian Phillips curve

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"Phillips curves are central to discussions of inflation dynamics and monetary policy. New Keynesian Phillips curves describe how past inflation, expected future inflation, and a measure of real marginal cost or an output gap drive the current inflation rate. This paper studies the (potential) weak identification of these curves under generalized methods of moments (GMM) and traces this syndrome to a lack of persistence in either exogenous variables or shocks. The authors employ analytic methods to understand the identification problem in several statistical environments: under strict exogeneity, in a vector autoregression, and in the canonical three-equation, New Keynesian model. Given U.S., U.K., and Canadian data, they revisit the empirical evidence and construct tests and confidence intervals based on exact and pivotal Anderson-Rubin statistics that are robust to weak identification. These tests find little evidence of forward-looking inflation dynamics"--Federal Reserve Bank of Atlanta web site.

Publish Date
Language
English

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Edition Availability
Cover of: Identifying the new Keynesian Phillips curve
Identifying the new Keynesian Phillips curve
2005, Federal Reserve Bank of Atlanta
Electronic resource in English

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Book Details


Edition Notes

Includes bibliographical references.
Title from PDF file as viewed on 2/25/2005.
Also available in print.
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.

Published in
[Atlanta, Ga.]
Series
Working paper series / Federal Reserve Bank of Atlanta ;, 2005-1, Working paper series (Federal Reserve Bank of Atlanta : Online) ;, 2005-1.

Classifications

Library of Congress
HB1

The Physical Object

Format
Electronic resource

ID Numbers

Open Library
OL3477180M
LCCN
2005616810

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December 13, 2020 Edited by MARC Bot import existing book
December 10, 2009 Created by WorkBot add works page