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Partial indexation and inflation dynamics: what do the data say?

Author

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  • Jean-Guillaume Sahuc

    (EPEE - Centre d'Etudes des Politiques Economiques - UEVE - Université d'Évry-Val-d'Essonne)

Abstract
New evidence is provided on the fit of the hybrid Phillips curve based on indexation of prices to lagged inflation and trend inflation for the Euro area and the USA over the period 1970-2002. The GMM-West estimates suggest that (i) a full indexation scheme is not data consistent whereas a partial indexation scheme allows a good fit and (ii) forgetting trend inflation induces overestimating by approximately 3-4% of the probability to not change the price, for reasonable values of trend inflation. © 2004 Taylor and Francis Ltd.

Suggested Citation

  • Jean-Guillaume Sahuc, 2004. "Partial indexation and inflation dynamics: what do the data say?," Post-Print hal-02878001, HAL.
    • Handle: RePEc:hal:journl:hal-02878001
    DOI: 10.1080/1350485042000261306
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    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Jean-Guillaume Sahuc, 2002. "A 'hybrid' monetary policy model: evidence from the Euro area," Applied Economics Letters, Taylor & Francis Journals, vol. 9(14), pages 949-955.
    3. Gali, Jordi & Gertler, Mark & Lopez-Salido, J. David, 2001. "European inflation dynamics," European Economic Review, Elsevier, vol. 45(7), pages 1237-1270.
    4. West, Kenneth D., 1997. "Another heteroskedasticity- and autocorrelation-consistent covariance matrix estimator," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 171-191.
    5. Sahuc, Jean-Guillaume, 2006. "Partial indexation, trend inflation, and the hybrid Phillips curve," Economics Letters, Elsevier, vol. 90(1), pages 42-50, January.
    6. repec:zbw:bofrdp:2003_027 is not listed on IDEAS
    7. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    8. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
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    Cited by:

    1. Scheufele, Rolf, 2010. "Evaluating the German (New Keynesian) Phillips curve," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 145-164, August.
    2. Morana, Claudio, 2006. "A small scale macroeconometric model for the Euro-12 area," Economic Modelling, Elsevier, vol. 23(3), pages 391-426, May.
    3. Julien Matheron, 2006. "Firm-Specific Labor and Firm-Specific Capital: Implications for the Euro-Data New Phillips Curve," International Journal of Central Banking, International Journal of Central Banking, vol. 2(4), December.
    4. Douch, Mohamed & Essadam, Naceur, 2008. "Monetary policy conduct: A hybrid framework," MPRA Paper 20715, University Library of Munich, Germany.
    5. Mohamed Douch, 2019. "Monetary Policy in a Small Open Economy with Imperfect Pass-Through," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(4), pages 445-461, December.
    6. Richard Dennis, 2006. "The frequency of price adjustment and New Keynesian business cycle dynamics," Working Paper Series 2006-22, Federal Reserve Bank of San Francisco.
    7. Peter Tillmann, 2009. "The New Keynesian Phillips curve in Europe: does it fit or does it fail?," Empirical Economics, Springer, vol. 37(3), pages 463-473, December.
    8. Basu, Parantap & Sarkar, Agnirup, 2016. "Partial inflation indexation and long-run inflation targeting in a growing economy: A comparison of Calvo and Rotemberg pricing models," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 293-306.

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    More about this item

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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