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Estimating United States Phillips Curves With Expectations Consistent With The Statistical Process Of Inflation

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  • Bill Russell
  • Rosen Azad Chowdhury

Abstract

‘Modern’ Phillips curve theories predict inflation is an integrated, or near integrated, process. However, inflation appears bounded above and below in developed economies and so cannot be ‘truly’ integrated and more likely stationary around a shifting mean. If agents believe inflation is integrated as in the ‘modern’ theories then they are making systematic errors concerning the statistical process of inflation. An alternative theory of the Phillips curve is developed that is consistent with the ‘true’ statistical process of inflation. It is demonstrated that United States inflation data is consistent with the alternative theory but not with the existing ‘modern’ theories.

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Bibliographic Info

Paper provided by Economic Studies, University of Dundee in its series Dundee Discussion Papers in Economics with number 265.

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Length: 35 pages
Date of creation: Apr 2012
Date of revision:
Handle: RePEc:dun:dpaper:265

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Keywords: Phillips curve; inflation; structural breaks; GARCH; non-stationary data;

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  1. Cosimano, Thomas F & Jansen, Dennis W, 1988. "Estimates of the Variance of U.S. Inflation Based upon the ARCH Model: A Comment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 20(3), pages 409-21, August.
  2. Svensson, Lars E. O., 2000. "Open-economy inflation targeting," Journal of International Economics, Elsevier, vol. 50(1), pages 155-183, February.
  3. Bill Russell, 2007. "Non-Stationary Inflation and Panel Estimates of United States Short and Long-run Phillips curves," Dundee Discussion Papers in Economics 200, Economic Studies, University of Dundee.
  4. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
  5. Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Universite de Montreal, Departement de sciences economiques.
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  9. Baillie, Richard T & Chung, Ching-Fan & Tieslau, Margie A, 1996. "Analysing Inflation by the Fractionally Integrated ARFIMA-GARCH Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(1), pages 23-40, Jan.-Feb..
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  11. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
  12. Jeff Fuhrer & George Moore, 1993. "Inflation persistence," Finance and Economics Discussion Series 93-17, Board of Governors of the Federal Reserve System (U.S.).
  13. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
  14. Godfrey, Leslie G., 1978. "Testing for multiplicative heteroskedasticity," Journal of Econometrics, Elsevier, vol. 8(2), pages 227-236, October.
  15. David Hendry & Jennifer L. Castle & Jurgen A. Doornik, 2010. "Testing the Invariance of Expectations Models of Inflation," Economics Series Working Papers 510, University of Oxford, Department of Economics.
  16. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
  17. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
  18. Bill Russell & Anindya Banerjee & Issam Malki & Natalia Ponomareva, 2010. "A Multiple Break Panel Approach to Estimating United States Phillips Curves," Discussion Papers 10-14, Department of Economics, University of Birmingham.
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  20. Lucas, Robert E, Jr & Rapping, Leonard A, 1969. "Price Expectations and the Phillips Curve," American Economic Review, American Economic Association, vol. 59(3), pages 342-50, June.
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Cited by:
  1. Bill Russell, 2013. "Macroeconomics: science or faith based discipline?," Dundee Discussion Papers in Economics 276, Economic Studies, University of Dundee.
  2. Bill Russell, 2013. "ARCH and structural breaks in United States inflation," Dundee Discussion Papers in Economics 277, Economic Studies, University of Dundee.

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