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Inflation persistence in Luxembourg: a comparison with EU15 countries at the disaggregate level

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  • Patrick Lünnemann
  • Thomas Y. Mathä

Abstract

The aim of this paper is to analyse the degree of inflation persistence in Luxembourg using disaggregate price index data from the Harmonised Index of Consumer Prices. The degree of inflation persistence is then compared to estimates for the EU15 and for the euro area as well as for the individual member countries according to a unified approach. In order to assess the robustness of our estimates both a parametric and a non-parametric measure of inflation persistence is used. Overall, our results suggest a relatively low degree of inflation persistence in Luxembourg. For a large number of sub-indices we are not only able to reject the unit root hypothesis, but also we find a low degree of inflation persistence relative to other EU15 countries and relative to the EU15 and euro area aggregates. For Luxembourg as well as the other EU15 countries, our results suggest substantial heterogeneity in the degree of inflation persistence across sub-indices. We find some support for the presence of aggregation effects, both across indices and countries. Structural break tests for all EU15 countries suggest the presence of structural changes in the inflation process owing to the inception of the single monetary policy and/or to the modified treatment of sales.

Suggested Citation

  • Patrick Lünnemann & Thomas Y. Mathä, 2004. "Inflation persistence in Luxembourg: a comparison with EU15 countries at the disaggregate level," BCL working papers 12, Central Bank of Luxembourg.
    • Handle: RePEc:bcl:bclwop:bclwp012
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Coricelli, Fabrizio & Horváth, Roman, 2006. "Price Setting Behaviour: Micro Evidence on Slovakia," CEPR Discussion Papers 5445, C.E.P.R. Discussion Papers.
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. M. Collin, 2006. "Inflation persistence in Belgium," Economic Review, National Bank of Belgium, issue ii, pages 23-33, September.
    14. Khundrakpam, Jeevan K., 2008. "How Persistent is Indian Inflationary Process, Has it Changed?," MPRA Paper 50927, University Library of Munich, Germany.
    15. 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.
    16. Álvarez, Luis J. & Sánchez, Isabel, 2019. "Inflation projections for monetary policy decision making," Journal of Policy Modeling, Elsevier, vol. 41(4), pages 568-585.
    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. 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.
    19. 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.
    20. Emmanuel Dhyne & Luis J. Álvarez & Hervé Le Bihan & Giovanni Veronese & Daniel Dias & Johannes Hoffmann & Nicole Jonker & Patrick Lünnemann & Fabio Rumler & Jouko Vilmunen, 2005. "Price setting in the euro area: Some stylized facts from Individual Consumer Price Data," Working Paper Research 74, National Bank of Belgium.
    21. 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).
    22. Morana, Claudio, 2006. "A small scale macroeconometric model for the Euro-12 area," Economic Modelling, Elsevier, vol. 23(3), pages 391-426, May.
    23. 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.
    24. 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.

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    More about this item

    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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