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New Keynesian Phillips Curve Estimation: The Case of Hungary /1981-2006/

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  • Vasilev, Aleksandar

Abstract

This paper investigates for the presence of a New Keynesian Phillips (NKPC) curve in Hungary in the period 1981:3-2006:2, following the methodology proposed by Gali and Gertler (1999). They claim that a potential source of inflation may be the sluggish adjustment of real marginal costs to movements in output. The empirical model we test features forward-looking firms who pre-set prices for a couple of periods ahead, using Calvo (1983) pricing rule. In addition, measures of real marginal cost are used instead of the old-fashioned output gap. The reason is that marginal costs are a better proxy for the impact of the productivity gains on inflation, which the ad hoc measure output gap misses. We also estimate a hybrid version of NKPC, where some of the firms are backward-looking, and others are forward-looking in their price-setting behavior. Real marginal costs and forward-looking behavior are statistically significant and quantitatively important in the NKPC. However, there are some econometric issues to be considered, such as the weak identification of the parameters of the structural NKPC as well as those of the hybrid NKPC.

Suggested Citation

  • Vasilev, Aleksandar, 2015. "New Keynesian Phillips Curve Estimation: The Case of Hungary /1981-2006/," EconStor Preprints 142472, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:esprep:142472
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    References listed on IDEAS

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    1. Taylor, John B, 1980. "Aggregate Dynamics and Staggered Contracts," Journal of Political Economy, University of Chicago Press, vol. 88(1), pages 1-23, February.
    2. Michal Franta & Branislav Saxa & Kateøina Šmídková, 2010. "The Role of Inflation Persistence in the Inflation Process in the New EU Member States," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 60(6), pages 480-500, December.
    3. Paul Levine & Luis F. Martins & Vasco J. Gabriel, 2006. "Robust Estimates of the New Keynesian Phillips Curve," School of Economics Discussion Papers 0206, School of Economics, University of Surrey.
    4. Roberts, John M., 1997. "Is inflation sticky?," Journal of Monetary Economics, Elsevier, vol. 39(2), pages 173-196, July.
    5. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    6. John M. Roberts, 1998. "Inflation expectations and the transmission of monetary policy," Finance and Economics Discussion Series 1998-43, Board of Governors of the Federal Reserve System (U.S.).
    7. Fuhrer, Jeffrey C., 2010. "Inflation Persistence," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 9, pages 423-486, Elsevier.
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    Cited by:

    1. Lasha Arevadze & Tamta Sopromadze & Giorgi Tsutskiridze & Shalva Mkhatrishvili, 2020. "Identifying the Phillips Curve in Georgia," NBG Working Papers 01/2020, National Bank of Georgia.
    2. Lasha Arevadze & Tamta Sopromadze & Giorgi Tsutskiridze & Shalva Mkhatrishvili, 2020. "Identifying the Phillips Curve in Georgia," NBG Working Papers 01/2020, National Bank of Georgia.

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

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