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Robust Estimates of the New Keynesian Phillips Curve Author info | Abstract | Publisher info | Download info | Related research | Statistics Paul Levine (University of Surrey)
Luis F. Martins (Department of Quantitative Methods, ISCTE, Portugal)
Vasco J. Gabriel (University of Surrey and NIPE-UM)
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In this paper, we examine the hybrid specification of the New Keynesian Phillips Curve (NKPC) proposed by Gali and Gertler (1999) by employing recently developed momentconditions inference procedures. These methods provide a more efficient and reliable econometric framework for the analysis of the NKPC. In particular, we address the issue of parameter identification, providing robust estimates and confidence sets for the model’s parameters. Our results show that the NKPC remains a valid and reliable empirical tool to explain inflation dynamics.
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Paper provided by Department of Economics, University of Surrey in its series Department of Economics Discussion Papers with number
0206.
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Length: 16 pages
Date of creation: Jan 2006Date of revision:
Handle: RePEc:sur:surrec:0206Contact details of provider: Postal: Guildford, Surrey GU2 5XH Phone: (01483) 259380 Fax: (01483) 259548 Email: Web page: http://www.econ.surrey.ac.uk More information through EDIRC
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Keywords: price regulation ; commitment problem ; ratchet effect ; under-investment ; Other versions of this item:
Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Rolf Scheufele, 2008.
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