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An Expectations-Augmented Phillips Curve in an Open Economy

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Author Info
Hallsten, Kerstin () (Monetary Policy Department, Central Bank of Sweden)

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Abstract

In this paper an expectations-augmented Phillips curve relation in an open economy is derived and estimated. As in Rotemberg´s (1982) model firms are assumed to face quadratic price adjustment costs. In addition, second-order costs of changing prices are not included. Consequently the derived inflation equation incorporates not only a forward-looking component but also a backward-looking element. The model is then estimated on Swedish data. The results from this estimation shed light in the importance of inflation expectations for the development of current inflation in comparison to past inflation rates. This is, for example, of great importance to a central bank trying to achive an inflation target. A common characteristic of inflation targeting models is that with a lower degree of persistence in inflation, a credible central bank can achive its inflation target with relatively little loss in output.

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Publisher Info
Paper provided by Sveriges Riksbank (Central Bank of Sweden) in its series Working Paper Series with number 108.

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Length: 27 pages
Date of creation: 01 Jun 2000
Date of revision:
Handle: RePEc:hhs:rbnkwp:0108

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Postal: Sveriges Riksbank, SE-103 37 Stockholm, Sweden
Phone: 08 - 787 00 00
Fax: 08-21 05 31
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Web page: http://www.riksbank.com/
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Related research
Keywords: Phillips curve; Monetary policy;

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Find related papers by JEL classification:
E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General

Cited by:
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  1. Nessén, Marianne & Vestin, David, 2000. "Average Inflation Targeting," Working Paper Series 119, Sveriges Riksbank (Central Bank of Sweden). [Downloadable!]
    Other versions:
  2. Holmberg, Karolina, 2006. "Derivation and Estimation of a New Keynesian Phillips Curve in a Small Open Economy," Working Paper Series 197, Sveriges Riksbank (Central Bank of Sweden). [Downloadable!]
Statistics
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