Abstract
This research examines the Phillips curve price adjustment mechanism allowing for the conditional variance of inflation to be time varying. Specifically, we estimate ARCH and GARCH models of inflation for Canada, Japan, and the U.K. The results suggest that an increase in the conditional variability of inflation leads to higher levels of inflation. In addition, inclusion of inflation variability in the Phillips curve model results in a higher weight being attributed to the output gap than in traditional models. (JEF E24)
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References
Bollerslev, T. 1986. “Generalized Autoregressive Conditional Heteroskedasticity.”Journal of Econometrics 31: 307–327.
Bollerslev, T., and J. Wooldridge. 1992. “Quasi-Maximum Likelihood Estimation and Inference in Dynamic Models with Time-Varying Covariances.”Econometric Reviews 11: 143–172.
Bolt, W., and P.J.A. van Els. 2000. “Output Gap and Inflation in the E.U.” Dutch National Bank Staff Report #44.
Brayton, Flint, John M. Roberts, and John C. Williams. 1999. “What's Happened to the Phillips Curve?” Board of Governors of the Federal Reserve System Finance and Discussion Series, 1999-49.
Cukierman, Alex, and Allen Meltzer. 1986. “A Theory of Ambiguity, Credibility and Inflation Under Discretion and Asymmetric Information.”Econometrica 54: 1099–1128.
de Brouwer, Gordon. 1998. “Estimating Output Gaps.” Reserve Bank of Australia Research Discussion Paper 9809.
Dickey, D.A., and W.A. Fuller. 1981. “Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root.”Econometrica 49: 1057–1071.
Enders, W. 1995.Applied Econometric Time Series, 1st edition. New York: John Wiley & Sons.
Engle, R. 1982. “Autoregressive Conditional Heteroskedasticity with Estimates of the Variance of the U.K. Inflation.”Econometrica 50: 987–1008.
Engle, R., D. Lilien, and R. Robins. 1987. “Estimating Time Varying Risk Premia in the Term Structure: The ARCH-M Model.”Econometrica 55: 391–407.
Ewing, Bradley T., and William L. Seyfried. 2000.”Some Additional Thoughts about the Phillips Curve.”Social Science Quarterly 81: 680–682.
Ewing, Bradley T. and William L. Seyfried. 2003. “Modeling the Phillips Curve: A Time-Varying Volatility Approach.”Applied Econometrics and International Development 3: 7–24.
Friedman, Milton. 1968. “The Role of Monetary Policy.”American Economic Review 58: 1–17.
Fuhrer, Jeffrey C. 1995. “The Phillips Curve is Alive and Well.”Federal Reserve Bank of Boston New England Economic Review.
Hall, R.E. and J.B. Taylor. 1997.Macroeconomics, 5th edition. New York: W.W. Norton & Company.
Harvey, A.C. 1994.Time Series Models, 2nd edition. Boston: MIT Press.
King, R.G., and M.W. Watson. 1992. “Testing Long-Run Neutrality.”National Bureau of Economic Research, Working Paper No. 4156.
Nas, Tevfik F., and Mark J. Perry. 2000. “Inflation, Inflation Uncertainty and Monetary Policy in Turkey, 1960–1998.”Contemporary Economic Policy 18: 170–185.
Nobay, A.R. and D.A. Peel. 2000. “Optimal Monetary Policy with a Nonlinear Phillips Curve.”Economics Letters 67: 159–164.
Owyang, Michael T. 2001. “Persistence, Excess Volatility, and Volatility Clusters in Inflation.”Federal Reserve Bank of Saint Louis Economic Review: 1–11.
Payne, J.E., T.L. Martin, and S.N. Potter. 2000. “A New Line on the Phillips Curve: Additional Evidence on the U.S..”Social Science Quarterly 81: 677–680.
Phelps, Edmund S. 1967. “Phillips Curve, Expectations of Inflation, and Optimal Unemployment Over Time.”Economica 34:254–281.
Reagan, Patricia, and Rene Stulz. 1993. “Contracting Costs, Inflation and Relative Price Variability.”Journal of Money, Credit and Banking 25: 521–549.
Romer, David. 1996.Advanced Macroeconomics. New York: McGraw-Hill.
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Seyfried, W.L., Ewing, B.T. A time-varying volatility approach to modeling the phillips curve: A cross-country analysis. J Econ Finan 28, 186–197 (2004). https://doi.org/10.1007/BF02761610
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DOI: https://doi.org/10.1007/BF02761610