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On the dynamics of international inflation

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  • Caggiano, Giovanni
  • Castelnuovo, Efrem

Abstract

We investigate the dynamic properties of inflation in 20 OECD countries with a novel approach based on the autocorrelation function. We find evidence in favor of long memory and nonlinearity. Linear autoregressive models are shown to be misspecified.

Suggested Citation

  • Caggiano, Giovanni & Castelnuovo, Efrem, 2011. "On the dynamics of international inflation," Economics Letters, Elsevier, vol. 112(2), pages 189-191, August.
    • Handle: RePEc:eee:ecolet:v:112:y:2011:i:2:p:189-191
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    1. Cogley, Timothy & Nason, James M, 1995. "Output Dynamics in Real-Business-Cycle Models," American Economic Review, American Economic Association, vol. 85(3), pages 492-511, June.
    2. Giovanni Caggiano & Leone Leonida, 2009. "International output convergence: evidence from an autocorrelation function approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 139-162.
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    4. Altissimo, Filippo & Mojon, Benoit & Zaffaroni, Paolo, 2009. "Can aggregation explain the persistence of inflation?," Journal of Monetary Economics, Elsevier, vol. 56(2), pages 231-241, March.
    5. Abadir, Karim M. & Caggiano, Giovanni & Talmain, Gabriel, 2013. "Nelson–Plosser revisited: The ACF approach," Journal of Econometrics, Elsevier, vol. 175(1), pages 22-34.
    6. Mark Bils & Peter J. Klenow, 2004. "Some Evidence on the Importance of Sticky Prices," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 947-985, October.
    7. Caballero, Ricardo J. & Engel, Eduardo M.R.A., 2003. "Adjustment is Much Slower than You Think," Center Discussion Papers 28419, Yale University, Economic Growth Center.
    8. Carvalho Carlos, 2006. "Heterogeneity in Price Stickiness and the Real Effects of Monetary Shocks," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(3), pages 1-58, December.
    9. David Berger & Ricardo J. Caballero & Eduardo Engel, 2003. "Missing Aggregate Dynamics: On the Slow Convergence of Lumpy Adjustment Models," NBER Working Papers 9898, National Bureau of Economic Research, Inc.
    10. Karim Abadir & Gabriel Talmain, 2002. "Aggregation, Persistence and Volatility in a Macro Model," Review of Economic Studies, Oxford University Press, vol. 69(4), pages 749-779.
    11. Livio Di Matteo & Thomas Barbiero, 2018. "Economic Growth and the Public Sector: A Comparison of Canada and Italy, 1870-2013," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 10(3), pages 221-243, May.
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    Cited by:

    1. Fredrik N. G. Andersson & Yushu Li, 2020. "Are Central Bankers Inflation Nutters? An MCMC Estimator of the Long-Memory Parameter in a State Space Model," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 529-549, February.
    2. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2014. "Uncertainty and Monetary Policy in Good and Bad Times," "Marco Fanno" Working Papers 0188, Dipartimento di Scienze Economiche "Marco Fanno".
    3. Rangan Gupta & Chi Keung Marco Lau & Mark E. Wohar, 2019. "The impact of US uncertainty on the Euro area in good and bad times: evidence from a quantile structural vector autoregressive model," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 353-368, May.
    4. Efrem Castelnuovo, 2016. "Monetary policy shocks and Cholesky VARs: an assessment for the Euro area," Empirical Economics, Springer, vol. 50(2), pages 383-414, March.
    5. Efrem Castelnuovo, 2013. "What does a Monetary Policy Shock Do? An International Analysis with Multiple Filters," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 759-784, October.

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