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Comparing the New Keynesian Phillips Curve with Time Series Models to Forecast Inflation

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Author Info
Fabio Rumler (Oesterreichische Nationalbank, Economic Analysis Division, P.O. Box 61, A-1010 Vienna,)
Maria Teresa Valderrama (Oesterreichische Nationalbank, Economic Analysis Division, P.O. Box 61, A-1010 Vienna,)

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Abstract

The New Keynesian Phillips Curve, as a structural model of inflation dynamics, has mostly been used to explain past inflation developments, but has hardly been used for forecasting purposes. We propose a method of forecasting inflation based on the present-value formulation of the hybrid New Keynesian Phillips Curve. To evaluate the forecasting performance of this model we compare it with forecasts generated from time series models at different forecast horizons. As state-of-the-art time series models used in inflation forecasting we employ a Bayesian VAR, a traditional VAR and a simple autoregressive model. We find that the New Keynesian Phillips Curve delivers relatively more accurate forecasts compared to the other models for longer forecast horizons (more than 3 months) while they are outperformed by the time series models only for the very short forecast horizon. This is consistent with the finding in the literature that structural models are able to outperform time series models only for longer horizons.

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Publisher Info
Paper provided by Oesterreichische Nationalbank (Austrian Central Bank) in its series Working Papers with number 148.

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Length: 37 pages
Date of creation: 30 Sep 2008
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Handle: RePEc:onb:oenbwp:148

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Postal: P.O. Box 61, A-1011 Vienna, Austria
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Postal: Oesterreichische Nationalbank, Economic Studies Division, c/o Beate Hofbauer-Berlakovich, POB 61, A-1011 Vienna, Austria
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Related research
Keywords: New Keynesian Phillips Curve; Inflation Forecasting; Forecast Evaluation; Bayesian VAR;

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Find related papers by JEL classification:
E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications

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  1. Gali, Jordi & Gertler, Mark & David Lopez-Salido, J., 2005. "Robustness of the estimates of the hybrid New Keynesian Phillips curve," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1107-1118, September. [Downloadable!] (restricted)
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  2. Josef Baumgartner & Ernst Glatzer & Fabio Rumler & Alfred Stiglbauer, 2005. "How Frequently Do Consumer Prices Change in Austria? Evidence from Micro CPI Data," Working Papers 101, Oesterreichische Nationalbank (Austrian Central Bank). [Downloadable!]
    Other versions:
  3. Lack, Caesar, 2006. "Forecasting Swiss inflation using VAR models," Economic Studies 2006-2, Swiss National Bank. [Downloadable!]
  4. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October. [Downloadable!] (restricted)
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  5. Peter McAdam & Alpo Willman, 2003. "New Keynesian Phillips curves - a reassessment using euro-area data," Working Paper Series 265, European Central Bank. [Downloadable!]
  6. Campbell, John Y & Shiller, Robert J, 1987. "Cointegration and Tests of Present Value Models," Journal of Political Economy, University of Chicago Press, vol. 95(5), pages 1062-88, October. [Downloadable!] (restricted)
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  7. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Bayesian Var Models for Forecasting Irish Inflation," Research Technical Papers 4/RT/98, Central Bank & Financial Services Authority of Ireland (CBFSAI). [Downloadable!]
    Other versions:
  8. Kurmann, Andre, 2005. "Quantifying the uncertainty about the fit of a new Keynesian pricing model," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1119-1134, September. [Downloadable!] (restricted)
  9. Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-63, July.
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  10. Adolfson, Malin & Lindé, Jesper & Villani, Mattias, 2005. "Forecasting Performance of an Open Economy Dynamic Stochastic General Equilibrium Model," Working Paper Series 190, Sveriges Riksbank (Central Bank of Sweden), revised 01 Jun 2006. [Downloadable!]
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  11. Sbordone, Argia M., 2002. "Prices and unit labor costs: a new test of price stickiness," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 265-292, March. [Downloadable!] (restricted)
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  12. Fabio Rumler, 2007. "Estimates of the Open Economy New Keynesian Phillips Curve for Euro Area Countries," Open Economies Review, Springer, vol. 18(4), pages 427-451, September. [Downloadable!] (restricted)
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  13. Jondeau, Eric & Le Bihan, Herve, 2005. "Testing for the New Keynesian Phillips Curve. Additional international evidence," Economic Modelling, Elsevier, vol. 22(3), pages 521-550, May. [Downloadable!] (restricted)
  14. Campbell Leith & Jim Malley, 2007. "Estimated Open Economy New Keynesian Phillips Curves for the G7," Open Economies Review, Springer, vol. 18(4), pages 405-426, September. [Downloadable!] (restricted)
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  15. John C. Robertson & Ellis W. Tallman, 1999. "Vector autoregressions: forecasting and reality," Economic Review, Federal Reserve Bank of Atlanta, issue Q1, pages 4-18. [Downloadable!]
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