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How persistent is disaggregate inflation? An analysis across EU 15 countries and HICP sub-indices

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  • Lünnemann, Patrick
  • Mathä, Thomas Y.

Abstract

This paper analyses the degree of inflation persistence in the EU15, the euro area and each of its member states using disaggregate price indices from the Harmonised Index of Consumer Prices. Our results reveal substantial heterogeneity across countries and indices. The overall results, based on both parametric and non-parametric persistence measures, suggest a very moderate degree of median and mean inflation persistence. For most price indices we are able to reject the unit root hypothesis, as well as the notion of disaggregate inflation exhibiting a high degree of persistence. Durable goods and services tend to be relatively less persistent than other indices. Aggregation effects, both across indices and countries, tend to be present. We find structural breaks both owing to the change in the monetary regime and to the modified treatment of sales in the official HICP series. The latter tends to reduce the measured degree of inflation persistence. JEL Classification: E31, C21, C22, C14

Suggested Citation

  • Lünnemann, Patrick & Mathä, Thomas Y., 2004. "How persistent is disaggregate inflation? An analysis across EU 15 countries and HICP sub-indices," Working Paper Series 415, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:2004415
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    Cited by:

    1. Cellini, Roberto & Paolino, Alessandro, 2007. "Price of recreational products and the exchange rate: an empirical investigation on US data," MPRA Paper 5194, University Library of Munich, Germany.
    2. Carlomagno, Guillermo & Espasa, Antoni, 2014. "The pairwise approach to model a large set of disaggregates with common trends," DES - Working Papers. Statistics and Econometrics. WS ws141309, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Patrick Lünnemann & Thomas Y. Mathä, 2010. "Consumer price behaviour: evidence from Luxembourg micro data," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 31(2-3), pages 177-192.
    4. Carlomagno, Guillermo & Eterovic, Nicolás & Hernández-Román, Luis G., 2024. "Disentangling demand and supply inflation shocks from electronic payments data," Economic Modelling, Elsevier, vol. 141(C).
    5. Morana, Claudio, 2006. "A small scale macroeconometric model for the Euro-12 area," Economic Modelling, Elsevier, vol. 23(3), pages 391-426, May.
    6. Guillermo Carlomagno & Nicolas Eterovic & L. G. Hernández-Román, 2023. "Disentangling Demand and Supply Inflation Shocks from Chilean Electronic Payment Data," Working Papers Central Bank of Chile 986, Central Bank of Chile.
    7. Hoffmann, Johannes & Veronese, Giovanni & Álvarez, Luis J. & Le Bihan, Hervé & Dias, Daniel & Dhyne, Emmanuel & Vilmunen, Jouko & Lünnemann, Patrick & Jonker, Nicole & Rumler, Fabio, 2005. "Price setting in the euro area: some stylized facts from individual consumer price data," Working Paper Series 524, European Central Bank.
    8. Fabrizio Coricelli & Roman Horváth, 2010. "Price setting and market structure: an empirical analysis of micro data in Slovakia," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 31(2-3), pages 209-233.
    9. Coricelli, Fabrizio & Horváth, Roman, 2006. "Price Setting Behaviour: Micro Evidence on Slovakia," CEPR Discussion Papers 5445, C.E.P.R. Discussion Papers.
    10. Fabrizio Coricelli & Roman Horvath, 2008. "Price Setting And Market Structure: An Empirical Analysis Of Micro Data," William Davidson Institute Working Papers Series wp938, William Davidson Institute at the University of Michigan.
    11. Khundrakpam, Jeevan K., 2008. "How Persistent is Indian Inflationary Process, Has it Changed?," MPRA Paper 50927, University Library of Munich, Germany.
    12. Carlomagno, Guillermo & Espasa, Antoni, 2015. "Forecasting a large set of disaggregates with common trends and outliers," DES - Working Papers. Statistics and Econometrics. WS ws1518, Universidad Carlos III de Madrid. Departamento de Estadística.
    13. Logan Rangasamy, 2009. "Inflation Persistence And Core Inflation: The Case Of South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 77(3), pages 430-444, September.
    14. Migliardo, Carlo, 2012. "Heterogeneity in price setting behavior, spatial disparities and sectoral diversity: Evidence from a panel of Italian firms," Economic Modelling, Elsevier, vol. 29(4), pages 1106-1118.
    15. Bart Hobijn & Federico Ravenna & Andrea Tambalotti, 2006. "Menu Costs at Work: Restaurant Prices and the Introduction of the Euro," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(3), pages 1103-1131.
    16. Sevim Kosem Alp, 2010. "Optimal Monetary Policy under Sectoral Heterogeneity in Inflation Persistence (Sektorel Enflasyon Ataleti Farkliligi Altinda Optimal Para Politikasi)," Working Papers 1004, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    17. Chi-Young Choi & Joo Yong Lee & Róisín O'Sullivan, 2015. "Monetary Policy Regime Change and Regional Inflation Dynamics: Looking through the Lens of Sector-Level Data for Korea," Working Papers 2015-20, Economic Research Institute, Bank of Korea.
    18. Dieter Nautz & Juliane Scharff, 2012. "Inflation and relative price variability in the euro area: evidence from a panel threshold model," Applied Economics, Taylor & Francis Journals, vol. 44(4), pages 449-460, February.
    19. Babutsidze, Zakaria, 2006. "(S,s) Pricing: Does the Heterogeneity Wipe Out the Asymmetry on Micro Level?," MERIT Working Papers 2006-033, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    20. Luis J. Álvarez & Maria Dolores Gadea & Ana Gómez‐Loscos, 2021. "Inflation comovements in advanced economies: Facts and drivers," The World Economy, Wiley Blackwell, vol. 44(2), pages 485-509, February.
    21. M. Collin, 2006. "Inflation persistence in Belgium," Economic Review, National Bank of Belgium, issue ii, pages 23-33, September.
    22. Álvarez, Luis J. & Sánchez, Isabel, 2019. "Inflation projections for monetary policy decision making," Journal of Policy Modeling, Elsevier, vol. 41(4), pages 568-585.
    23. Carlomagno, Guillermo & Espasa, Antoni, 2016. "Discovering common trends in a large set of disaggregates: statistical procedures and their properties," DES - Working Papers. Statistics and Econometrics. WS ws1519, Universidad Carlos III de Madrid. Departamento de Estadística.
    24. Antoni Espasa & Eva Senra, 2017. "Twenty-Two Years of Inflation Assessment and Forecasting Experience at the Bulletin of EU & US Inflation and Macroeconomic Analysis," Econometrics, MDPI, vol. 5(4), pages 1-28, October.
    25. Babutsidze, Zakaria, 2010. "(S,s) pricing: Does the heterogeneity wipe out the asymmetry on micro level?," Economics Discussion Papers 2010-19, Kiel Institute for the World Economy (IfW Kiel).

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    More about this item

    Keywords

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    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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