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Comparing the New Keynesian Phillips Curve with time series models to forecast inflation

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  • Rumler, Fabio
  • Valderrama, Maria Teresa

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 a traditional Phillips Curve and time series models at different forecast horizons. As state-of-the-art time series models used in forecasting we employ a Bayesian VAR, a conventional VAR and a simple autoregressive model. We find that the New Keynesian Phillips Curve delivers relatively more accurate forecasts of inflation in Austria 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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Bibliographic Info

Article provided by Elsevier in its journal The North American Journal of Economics and Finance.

Volume (Year): 21 (2010)
Issue (Month): 2 (August)
Pages: 126-144

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Handle: RePEc:eee:ecofin:v:21:y:2010:i:2:p:126-144

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Web page: http://www.elsevier.com/locate/inca/620163

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Keywords: New Keynesian Phillips Curve Inflation forecasting Forecast evaluation Bayesian VAR;

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  1. Campbell Leith & Jim Malley, 2003. "Estimated Open Economy New Keynesian Phillips Curves for the G7," CESifo Working Paper Series 834, CESifo Group Munich.
  2. John Y. Campbell & Robert J. Shiller, 1986. "Cointegration and Tests of Present Value Models," NBER Working Papers 1885, National Bureau of Economic Research, Inc.
  3. Fabio Rumler, 2005. "Estimates of the Open Economy New Keynesian Phillips Curve for Euro Area Countries," Working Papers 102, Oesterreichische Nationalbank (Austrian Central Bank).
  4. Gali, Jordi & Gertler, Mark & Lopez-Salido, J. David, 2001. "European inflation dynamics," European Economic Review, Elsevier, vol. 45(7), pages 1237-1270.
  5. 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.
  6. John C. Robertson & Ellis W. Tallman, 1999. "Vector autoregressions: forecasting and reality," Economic Review, Federal Reserve Bank of Atlanta, issue Q1, pages 4-18.
  7. Jordi Gali & Mark Gertler & David Lopez-Salido, 2005. "Robustness of the Estimates of the Hybrid New Keynesian Phillips Curve," NBER Working Papers 11788, National Bureau of Economic Research, Inc.
  8. 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.
  9. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Bayesian Var Models for Forecasting Irish Inflation," Research Technical Papers 4/RT/98, Central Bank of Ireland.
  10. 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.
  11. Andrea Nobili, 2005. "Forecasting Output Growth And Inflation In The Euro Area: Are Financial Spreads Useful?," Temi di discussione (Economic working papers) 544, Bank of Italy, Economic Research and International Relations Area.
  12. James M. Nason & Gregor W. Smith, 2005. "Identifying the New Keynesian Phillips curve," Working Paper 2005-01, Federal Reserve Bank of Atlanta.
  13. Jordi Gali & Mark Gertler, 2000. "Inflation Dynamics: A Structural Econometric Analysis," NBER Working Papers 7551, National Bureau of Economic Research, Inc.
  14. Fabio Rumler & Maria Teresa Valderrama, 2008. "Do Aggregate Demand Factors Influence Current Inflation Developments?," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 10–82.
  15. Tillmann, Peter, 2005. "The New Keynesian Phillips Curve in Europe: does it fit or does it fail?," Discussion Paper Series 1: Economic Studies 2005,04, Deutsche Bundesbank, Research Centre.
  16. 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).
  17. McAdam, Peter & Willman, Alpo, 2003. "New Keynesian Phillips Curves: a reassessment using euro-area data," Working Paper Series 0265, European Central Bank.
  18. 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.
  19. Canova, Fabio, 2007. "G-7 Inflation Forecasts: Random Walk, Phillips Curve Or What Else?," Macroeconomic Dynamics, Cambridge University Press, vol. 11(01), pages 1-30, February.
  20. 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.
  21. James H. Stock & Mark W. Watson, 2008. "Phillips curve inflation forecasts," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 53.
  22. Caesar Lack, 2006. "Forecasting Swiss inflation using VAR models," Economic Studies 2006-02, Swiss National Bank.
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Citations

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Cited by:
  1. Henzel, Steffen R. & Mayr, Johannes, 2013. "The mechanics of VAR forecast pooling—A DSGE model based Monte Carlo study," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 1-24.
  2. Kitov, Ivan, 2013. "Inflation, unemployment, and labour force. Phillips curves and long-term projections for Austria," MPRA Paper 49700, University Library of Munich, Germany.
  3. Dandan Liu & Dennis Jansen, 2011. "Does a factor Phillips curve help? An evaluation of the predictive power for U.S. inflation," Empirical Economics, Springer, vol. 40(3), pages 807-826, May.

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