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New Keynesian Microfoundations Revisited: A Calvo-Taylor-Rule-of-Thumb Model and Optimal Monetary Policy Delegation

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  • Richard Mash

Abstract

We analyze the microfoundations of the Phillips curve and the close links between that relationship and results concerning optimal monetary policy, stabilisation bias and monetary policy delegation. Most recent literature has used a New Keynesian Phillips Curve based on Calvo pricing, often with an additional lagged inflation term motivated by rule-of-thumb behaviour. We develop a framework which encompasses this workhorse model while allowing for a richer time dependent pricing rule. This permits a more general analysis while showing that the standard model and policy conclusions derived from it are not robust to relatively minor changes in its microfoundations.

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  • Richard Mash, 2003. "New Keynesian Microfoundations Revisited: A Calvo-Taylor-Rule-of-Thumb Model and Optimal Monetary Policy Delegation," Economics Series Working Papers 174, University of Oxford, Department of Economics.
    • Handle: RePEc:oxf:wpaper:174
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    Citations

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    Cited by:

    1. Musy, Olivier, 2006. "Inflation persistence and the real costs of disinflation in staggered prices and partial adjustment models," Economics Letters, Elsevier, vol. 91(1), pages 50-55, April.
    2. Richard Mash, 2004. "Optimising Microfoundations for Inflation Persistence," Economics Series Working Papers 183, University of Oxford, Department of Economics.
    3. Richard Mash, 2003. "A Note on Simple MSV Solution Methods for Rational Expectations Models of Monetary Policy," Economics Series Working Papers 173, University of Oxford, Department of Economics.
    4. Yao, Fang, 2011. "Monetary Policy, Trend Inflation and Inflation Persistence," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48718, Verein für Socialpolitik / German Economic Association.
    5. Huw David Dixon & Kun Tian, 2017. "What We can Learn About the Behaviour of Firms from the Average Monthly Frequency of Price-Changes: An Application to the UK CPI Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(6), pages 907-932, December.
    6. Dixon, Huw David, 2009. "A unified framework for understanding and comparing dynamic wage and price setting models," Cardiff Economics Working Papers E2009/20, Cardiff University, Cardiff Business School, Economics Section.
    7. repec:hum:wpaper:sfb649dp2011-008 is not listed on IDEAS
    8. Yao, Fang, 2011. "Monetary policy, trend inflation and inflation Persistence," SFB 649 Discussion Papers 2011-008, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    9. Dixon Huw, 2012. "A Unified Framework for Using Micro-Data to Compare Dynamic Time-Dependent Price-Setting Models," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-45, July.
    10. Yao, Fang, 2009. "The cost of tractability and the Calvo pricing assumption," SFB 649 Discussion Papers 2009-042, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    11. Yao, Fang, 2009. "Time-dependent pricing and New Keynesian Phillips curve," Discussion Paper Series 1: Economic Studies 2009,08, Deutsche Bundesbank.
    12. repec:hum:wpaper:sfb649dp2009-042 is not listed on IDEAS

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    More about this item

    Keywords

    monetary policy; New Keynesian Phillips Curve; Calvo pricing; rule of thumb; stabilisation bias; Monetary Policy Delegation;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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