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The New Keynesian Phillips Curve and Lagged Inflation: A Case of Spurious Correlation?

  • George Hondroyiannis

    (Bank of Greece, Economic Research Department and Harokopio University)

  • P.A.V.B. Swamy

    (US Bureau of Labour Statistics)

  • George S. Tavlas

    ()

    (Bank of Greece, Economic Research Department)

The New Keynesian Phillips Curve (NKPC) specifies a relationship between inflation and a forcing variable and the current period’s expectation of future inflation. Most empirical estimates of the NKPC, typically based on Generalized Method of Moments (GMM) estimation, have found a significant role for lagged inflation, producing a “hybrid” NKPC. Using U.S. quarterly data, this paper examines whether the role of lagged inflation in the NKPC might be due to the spurious outcome of specification biases. Like previous investigators, we employ GMM estimation and, like those investigators, we find a significant effect for lagged inflation. We also use time varying coefficient (TVC) estimation, a procedure that allows us to directly confront specification biases and spurious relationships. Using three separate measures of expected inflation, we find strong support for the view that, under TVC estimation, the coefficient on expected inflation is near unity and that the role of lagged inflation in the NKPC is spurious.

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File URL: http://www.bankofgreece.gr/BogEkdoseis/Paper200757.pdf
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Paper provided by Bank of Greece in its series Working Papers with number 57.

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Length: 28 pages
Date of creation: Feb 2007
Date of revision:
Handle: RePEc:bog:wpaper:57
Contact details of provider: Web page: http://www.bankofgreece.gr

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  14. I-Lok Chang & P.A.V.B. Swamy & Charles Hallahan & George S. Tavlas, 2000. "A Computational Approach to Finding Causal Economic Laws," Computational Economics, Society for Computational Economics, vol. 16(1/2), pages 105-136, October.
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