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Estimating Phillips Curves in Turbulent Times using the ECBs Survey of Professional Forecasters

  • Gary Koop

    ()

    (Department of Economics, University of Strathclyde)

  • Luca Onorante

    ()

    (European Central Bank)

This paper uses forecasts from the European Central Bank?s Survey of Professional Forecasters to investigate the relationship between inflation and inflation expectations in the euro area. We use theoretical structures based on the New Keynesian and Neoclassical Phillips curves to inform our empirical work. Given the relatively short data span of the Survey of Professional Forecasters and the need to control for many explanatory variables,we use dynamic model averaging in order to ensure a parsimonious econometric specification. We use both regression-based and VAR-based methods. We find no support for the backward looking behavior embedded in the Neo-classical Phillips curve. Much more support is found for the forward looking behavior of the New Keynesian Phillips curve, but most of this support is found after the beginning of the financial crisis.

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Paper provided by University of Strathclyde Business School, Department of Economics in its series Working Papers with number 1109.

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Length: 35 pages
Date of creation: Mar 2011
Date of revision:
Handle: RePEc:str:wpaper:1109
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  1. Wallis, Kenneth F., 2002. "Chi-squared tests of interval and density forecasts, and the Bank of England's fan charts," Royal Economic Society Annual Conference 2002 181, Royal Economic Society.
  2. Amisano, Gianni & Giacomini, Raffaella, 2007. "Comparing Density Forecasts via Weighted Likelihood Ratio Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 177-190, April.
  3. Andrew Ang & Geert Bekaert & Min Wei, 2006. "Do macro variables, asset markets, or surveys forecast inflation better?," Finance and Economics Discussion Series 2006-15, Board of Governors of the Federal Reserve System (U.S.).
  4. Hayford, Marc D., 2000. "Inflation Uncertainty, Unemployment Uncertainty and Economic Activity," Journal of Macroeconomics, Elsevier, vol. 22(2), pages 315-329, April.
  5. Söderlind, Paul, 2000. "Inflation Forecast Uncertainty," CEPR Discussion Papers 2499, C.E.P.R. Discussion Papers.
  6. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
  7. Anthony Tay & Kenneth F. Wallis, 2000. "Density Forecasting: A Survey," Econometric Society World Congress 2000 Contributed Papers 0370, Econometric Society.
  8. James H. Stock & Mark W. Watson, 2008. "Phillips Curve Inflation Forecasts," NBER Working Papers 14322, National Bureau of Economic Research, Inc.
  9. Mavroeidis, Sophocles, 2005. "Identification Issues in Forward-Looking Models Estimated by GMM, with an Application to the Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 421-48, June.
  10. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
  11. Maritta Paloviita, 2008. "Comparing alternative Phillips curve specifications: European results with survey-based expectations," Applied Economics, Taylor & Francis Journals, vol. 40(17), pages 2259-2270.
  12. N. Gregory Mankiw & Ricardo Reis, 2001. "Sticky information versus sticky prices: a proposal to replace the New-Keynesian Phillips curve," Proceedings, Federal Reserve Bank of San Francisco, issue Jun.
  13. Guglielmo Caporale & Luca Onorante & Paolo Paesani, 2012. "Inflation and inflation uncertainty in the euro area," Empirical Economics, Springer, vol. 43(2), pages 597-615, October.
  14. García, Juan Angel & Manzanares, Andrés, 2007. "What can probability forecasts tell us about inflation risks?," Working Paper Series 0825, European Central Bank.
  15. Lahiri, Kajal & Teigland, Christie & Zaporowski, Mark, 1988. "Interest Rates and the Subjective Probability Distribution of Inflation Forecasts," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 20(2), pages 233-48, May.
  16. Cukierman, Alex & Meltzer, Allan H, 1986. "A Theory of Ambiguity, Credibility, and Inflation under Discretion and Asymmetric Information," Econometrica, Econometric Society, vol. 54(5), pages 1099-1128, September.
  17. Eric Zivot & Saraswata Chaudhuri, 2009. "A Comment on Weak Instrument Robust Tests in GMM and the New Keynesian Phillips Curve," Working Papers UWEC-2008-23-P, University of Washington, Department of Economics.
  18. Gary Koop & Dimitris Korobilis, 2009. "Forecasting Inflation Using Dynamic Model Averaging," Working Paper Series 34_09, The Rimini Centre for Economic Analysis, revised Jan 2009.
  19. Ungar, Meyer & Zilberfarb, Ben-Zion, 1993. "Inflation and Its Unpredictability--Theory and Empirical Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 25(4), pages 709-20, November.
  20. Sylvain Leduc & Keith Sill & Tom Stark, 2002. "Self-fulfilling expectations and the inflation of the 1970s: evidence from the Livingston Survey," Working Papers 02-13, Federal Reserve Bank of Philadelphia.
  21. Carlos Bowles & Roberta Friz & Veronique Genre & Geoff Kenny & Aidan Meyler & Tuomas Rautanen, 2007. "The ECB survey of professional forecasters (SPF) – A review after eight years’ experience," Occasional Paper Series 59, European Central Bank.
  22. Edmund S. Phelps, 1968. "Money-Wage Dynamics and Labor-Market Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 76, pages 678.
  23. Davis, George & Kanago, Bryce, 1996. "On Measuring the Effect of Inflation Uncertainty on Real GNP Growth," Oxford Economic Papers, Oxford University Press, vol. 48(1), pages 163-75, January.
  24. Andrade, P. & Le Bihan, H., 2010. "Inattentive professional forecasters," Working papers 307, Banque de France.
  25. Koop, Gary & Korobilis, Dimitris, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," MPRA Paper 20125, University Library of Munich, Germany.
  26. Kleibergen, Frank & Mavroeidis, Sophocles, 2009. "Weak Instrument Robust Tests in GMM and the New Keynesian Phillips Curve," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(3), pages 293-311.
  27. Yash P. Mehra & Christopher Herrington, 2008. "On the sources of movements in inflation expectations : a few insights from a VAR model," Economic Quarterly, Federal Reserve Bank of Richmond, issue Spr, pages 121-146.
  28. Genre, Véronique & Kenny, Geoff & Meyler, Aidan & Timmermann, Allan, 2010. "Combining the forecasts in the ECB survey of professional forecasters: can anything beat the simple average?," Working Paper Series 1277, European Central Bank.
  29. Ma, Adrian, 2002. "GMM estimation of the new Phillips curve," Economics Letters, Elsevier, vol. 76(3), pages 411-417, August.
  30. Bomberger, William A, 1996. "Disagreement as a Measure of Uncertainty," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(3), pages 381-92, August.
  31. James H. Stock & Mark W. Watson, 1999. "Forecasting Inflation," NBER Working Papers 7023, National Bureau of Economic Research, Inc.
  32. Christopher A. Sims, 2002. "The Role of Models and Probabilities in the Monetary Policy Process," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 1-62.
  33. Fabio Canova, 2009. "Comment to "Weak instruments robust tests in GMM and the New Keynesian Phillips curve" by Frank Kleibergen and Sophocles Mavroeidis," Economics Working Papers 1159, Department of Economics and Business, Universitat Pompeu Fabra.
  34. Todd E. Clark & Troy Davig, 2008. "An empirical assessment of the relationships among inflation and short- and long-term expectations," Research Working Paper RWP 08-05, Federal Reserve Bank of Kansas City.
  35. Friedman, Milton, 1977. "Nobel Lecture: Inflation and Unemployment," Journal of Political Economy, University of Chicago Press, vol. 85(3), pages 451-72, June.
  36. Ernest Gnan & Johannes Langthaler & Maria Teresa Valderrama, 2010. "Shocks, the Crisis and Uncertainty about Future Inflation: Theory and Evidence for the Euro Area," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 26–52.
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