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The historical and recent behavior of goods and services inflation

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  • Alexis Antoniades
  • Richard Peach
  • Robert W. Rich

Abstract

Since the late 1990s, the combination of relatively high services inflation and declining goods prices has produced a record-level gap in these inflation rates. Some commentators argue that if the gap between services and goods inflation continues to expand in this manner, the outcome will be either faster overall inflation or deflation. This article examines the relationship between these divergent inflation rates from 1967 to 2002. The authors find that while the level of each inflation rate is subject to permanent shifts, the gap between services inflation and goods inflation over time remains stable. Moreover, when the gap is above its long-run value, as it currently is, equilibrium is restored through a rise in goods inflation and a slowing of services inflation. Their results suggest that concerns over an imminent marked acceleration or dramatic slowing in inflation may be unwarranted.

Suggested Citation

  • Alexis Antoniades & Richard Peach & Robert W. Rich, 2004. "The historical and recent behavior of goods and services inflation," Economic Policy Review, Federal Reserve Bank of New York, issue Dec, pages 19-31.
    • Handle: RePEc:fip:fednep:y:2004:i:dec:p:19-31:n:v.10no.3
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    References listed on IDEAS

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    1. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    2. Freeman, Donald G., 1998. "Do core inflation measures help forecast inflation?," Economics Letters, Elsevier, vol. 58(2), pages 143-147, February.
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    Cited by:

    1. Janine Aron & John Muellbauer, 2008. "New methods for forecasting inflation and its sub-components: application to the USA," Economics Series Working Papers 406, University of Oxford, Department of Economics.
    2. Andrejs Bessonovs & Olegs Krasnopjorovs, 2021. "Short-term inflation projections model and its assessment in Latvia," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 21(2), pages 184-204.
    3. Elena Deryugina & Natalia Karlova & Alexey Ponomarenko & Anna Tsvetkova, 2019. "The role of regional and sectoral factors in Russian inflation developments," Economic Change and Restructuring, Springer, vol. 52(4), pages 453-474, November.
    4. Tallman, Ellis W. & Zaman, Saeed, 2017. "Forecasting inflation: Phillips curve effects on services price measures," International Journal of Forecasting, Elsevier, vol. 33(2), pages 442-457.
    5. Clotilde Pfingstag & Vincent Grossmann-Wirth, 2010. "Ni déflation, ni spirale inflationniste aux États-Unis : l’apport d’une modélisation par secteurs de l’inflation sous-jacente," Économie et Prévision, Programme National Persée, vol. 195(4), pages 187-195.
    6. Aron, Janine & Muellbauer, John, 2012. "Improving forecasting in an emerging economy, South Africa: Changing trends, long run restrictions and disaggregation," International Journal of Forecasting, Elsevier, vol. 28(2), pages 456-476.
    7. Gent Bajraj & Guillermo Carlomagno & Juan M. Wlasiuk, 2023. "Where is the Inflation? The Diverging Patterns of Prices of Goods and Services," Working Papers Central Bank of Chile 969, Central Bank of Chile.
    8. Muellbauer, John & Aron, Janine, 2010. "Does aggregating forecasts by CPI component improve inflation forecast accuracy in South Africa?," CEPR Discussion Papers 7895, C.E.P.R. Discussion Papers.
    9. Esteve, Vicente & Gil-Pareja, Salvador & Martinez-Serrano, Jose Antonio & Llorca-Vivero, Rafael, 2006. "Threshold cointegration and nonlinear adjustment between goods and services inflation in the United States," Economic Modelling, Elsevier, vol. 23(6), pages 1033-1039, December.
    10. Rebecca J. Sela & Clifford M. Hurvich, 2009. "Computationally efficient methods for two multivariate fractionally integrated models," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(6), pages 631-651, November.
    11. Janine Aron & John Muellbauer, 2013. "New Methods for Forecasting Inflation, Applied to the US," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 637-661, October.
    12. Stefanos Kechagias & Vladas Pipiras, 2020. "Modeling bivariate long‐range dependence with general phase," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(2), pages 268-292, March.

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    Keywords

    Service industries; Inflation (Finance);

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