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Monetary Policy with a Nonlinear Phillips Curve and Asymmetric Loss

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  • Tambakis Demosthenes N.

    (City University Business School)

Abstract

Recent theoretical and empirical work has cast doubt on the hypotheses of a linear Phillips curve and a symmetric quadratic loss function underlying traditional thinking on monetary policy. This paper studies the one-period optimal monetary policy problem under an asymmetric loss function corresponding to the "opportunistic approach" to disinflation and a convex Phillips curve. The policy-inaction range and its properties are derived analytically. Numerical simulations are then used to assess the implications of asymmetric loss for the distributional properties of the equilibrium levels of inflation and unemployment. For parameter values relevant to the U.S., it is found that the asymmetric loss function yields an average inflation rate in excess of the target, and that bias is larger than the standard symmetric loss function. For moderate policy-maker preferences, the asymmetric loss function also yields a smaller gap between average unemployment and the natural rate, and higher (lower) variance of inflation (unemployment) compared to the symmetric benchmark. Calibrating the model to match the observed average unemployment rate requires a high degree of inflation aversion and small asymmetry.

Suggested Citation

  • Tambakis Demosthenes N., 1999. "Monetary Policy with a Nonlinear Phillips Curve and Asymmetric Loss," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(4), pages 1-17, January.
  • Handle: RePEc:bpj:sndecm:v:3:y:1999:i:4:n:4
    DOI: 10.2202/1558-3708.1050
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    Citations

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    Cited by:

    1. Correa, Arnildo da Silva & Minella, André, 2010. "Nonlinear mechanisms of the exchange rate pass-through: A Phillips curve model with threshold for Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 64(3), September.
    2. al-Nowaihi, Ali & Stracca, Livio, 2002. "Non-standard central bank loss functions, skewed risks, and certainty equivalence," Working Paper Series 0129, European Central Bank.
    3. Orlando Gomes & Diana A. Mendes & Vivaldo M. Mendes & José Sousa Ramos, 2006. "Endogenous Cycles in Optimal Monetary Policywith a Nonlinear Phillips Curve," Working Papers Series 1 ercwp1508, ISCTE-IUL, Business Research Unit (BRU-IUL).
    4. Kumar, Anil & M. Orrenius, Pia, 2016. "A closer look at the Phillips curve using state-level data," Journal of Macroeconomics, Elsevier, vol. 47(PA), pages 84-102.
    5. O. Gomes & V. M. Mendes & D. A. Mendes & J. Sousa Ramos, 2007. "Chaotic dynamics in optimal monetary policy," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 57(2), pages 195-199, May.
    6. Pu Chen & Peter Flaschel, 2005. "Keynesian Dynamics and the Wage–Price Spiral: Identifying Downward Rigidities," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 115-142, February.
    7. Marco Gross & Willi Semmler, 2019. "Mind the Output Gap: The Disconnect of Growth and Inflation during Recessions and Convex Phillips Curves in the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(4), pages 817-848, August.
    8. George Christodoulakis & David Peel, 2009. "The Central Bank Inflation Bias in the Presence of Asymmetric Preferences and Non-Normal Shocks," Economics Bulletin, AccessEcon, vol. 29(3), pages 1608-1620.
    9. Orlando Gomes, 2010. "Nonlinear Inflation Expectations and Endogenous Fluctuations," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 4(3), pages 263-280, November.
    10. Tambakis Demosthenes N., 2009. "Optimal Monetary Policy with a Convex Phillips Curve," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-25, June.
    11. Gomes, Orlando, 2006. "Monetary policy and economic growth: combining short and long run macro analysis," MPRA Paper 2849, University Library of Munich, Germany.

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