IDEAS home Printed from https://ideas.repec.org/p/nbb/reswpp/200504-1.html
   My bibliography  Save this paper

Time-dependent versus State-dependent Pricing: A Panel Data Approach to the Determinants of Belgian Consumer Price Changes

Author

Listed:
  • Luc Aucremanne

    () (National Bank of Belgium, Research Department)

  • Emmanuel Dhyne

    () (National Bank of Belgium, Research Department)

Abstract

Using Logistic Normal regressions, we model the price-setting behaviour for a large sample of Belgian consumer prices over the January 1989 - January 2001 period. Our results indicate that time-dependent features are very important, particularly an infinite mixture of Calvo pricing rules and truncation at specific horizons. Truncation is mainly a characteristic of pricing in the service sector where it mostly takes the form of annual Taylor contracts typically renewed at the end of December. Several other variables, including some that can be considered as state variables, are also found to be statistically significant. This is particularly so for accumulated sectoral inflation since the last price change. Once heterogeneity and the role of accumulated inflation are acknowledged, hazard functions become mildly upward-sloping, even in a low inflation regime. The contribution of the state-dependent variables to the pseudo-R² of our equations is, however, not particularly important.

Suggested Citation

  • Luc Aucremanne & Emmanuel Dhyne, 2005. "Time-dependent versus State-dependent Pricing: A Panel Data Approach to the Determinants of Belgian Consumer Price Changes," Working Paper Research 66, National Bank of Belgium.
    • Handle: RePEc:nbb:reswpp:200504-1
    as

    Download full text from publisher

    File URL: https://www.nbb.be/doc/oc/repec/reswpp/wp66.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Peter J. Klenow & Oleksiy Kryvtsov, 2008. "State-Dependent or Time-Dependent Pricing: Does it Matter for Recent U.S. Inflation?," The Quarterly Journal of Economics, Oxford University Press, vol. 123(3), pages 863-904.
    2. Michael Dotsey & Robert G. King & Alexander L. Wolman, 1999. "State-Dependent Pricing and the General Equilibrium Dynamics of Money and Output," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 655-690.
    3. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    4. Taylor, John B., 1999. "Staggered price and wage setting in macroeconomics," Handbook of Macroeconomics,in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 15, pages 1009-1050 Elsevier.
    5. Taylor, John B, 1980. "Aggregate Dynamics and Staggered Contracts," Journal of Political Economy, University of Chicago Press, vol. 88(1), pages 1-23, February.
    6. Baudry, L. & Le Bihan, H. & Sevestre, P. & Tarrieu, S., 2004. "Price Rigidity. Evidence from the French CPI Macro-Data," Working papers 113, Banque de France.
    7. Richard Mash, 2004. "Optimising Microfoundations for Inflation Persistence," Economics Series Working Papers 183, University of Oxford, Department of Economics.
    8. Nicole Jonker & Carsten Folkertsma & Harry Blijenberg, 2004. "An Emprical Analysis of Price Setting Behaviour in the Netherlands in the Period 1998-2003 Using Micro Data," DNB Working Papers 019, Netherlands Central Bank, Research Department.
    9. Jeffrey R. Campbell & Benjamin Eden, 2014. "Rigid Prices: Evidence From U.S. Scanner Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55, pages 423-442, May.
    10. Dias, Mónica & Dias, Daniel & Neves, Pedro D., 2004. "Stylised features of price setting behaviour in Portugal: 1992-2001," Working Paper Series 332, European Central Bank.
    11. 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.
    12. Gali, Jordi & Gertler, Mark & Lopez-Salido, J. David, 2001. "European inflation dynamics," European Economic Review, Elsevier, vol. 45(7), pages 1237-1270.
    13. Alexander L. Wolman, 1999. "Sticky prices, marginal cost, and the behavior of inflation," Economic Quarterly, Federal Reserve Bank of Richmond, issue Fall, pages 29-48.
    14. Richard Mash, 2004. "Optimising microfoundations for observed inflation persistence," Money Macro and Finance (MMF) Research Group Conference 2003 60, Money Macro and Finance Research Group.
    15. John Haltiwanger & Russell Cooper & Laura Power, 1999. "Machine Replacement and the Business Cycle: Lumps and Bumps," American Economic Review, American Economic Association, vol. 89(4), pages 921-946, September.
    16. L. Aucremanne & M. Druant, 2004. "Price-setting behaviour in Belgium : what can be learned from an ad hoc survey ?," Economic Review, National Bank of Belgium, issue iv, pages 17-47, December.
    17. Luis J. Álvarez & Ignacio Hernando, 2004. "Price setting behaviour in Spain: stylised facts using consumer price micro data," Working Papers 0422, Banco de España;Working Papers Homepage.
    18. Mónica Costa Dias & Daniel Dias & Pedro Duarte Neves, 2008. "Stylised features of consumer price setting behaviour in Portugal: 1992–2001," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 7(2), pages 75-99, August.
    19. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    20. Bo E. Honoré & Luojia Hu, 2004. "Estimation of Discrete Time Duration Models with Grouped Data," CAM Working Papers 2004-07, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    21. Aucremanne, Luc & Dhyne, Emmanuel, 2004. "How frequently do prices change? Evidence based on the micro data underlying the Belgian CPI," Working Paper Series 331, European Central Bank.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lünnemann, Patrick & Wintr, Ladislav, 2006. "Are internet prices sticky?," Working Paper Series 645, European Central Bank.
    2. Konstantins Benkovskis & Ludmila Fadejeva, 2014. "The effect of VAT rate on inflation in Latvia: evidence from CPI microdata," Applied Economics, Taylor & Francis Journals, vol. 46(21), pages 2520-2533, July.
    3. Philip Vermeulen & Daniel A. Dias & Maarten Dossche & Erwan Gautier & Ignacio Hernando & Roberto Sabbatini & Harald Stahl, 2012. "Price Setting in the Euro Area: Some Stylized Facts from Individual Producer Price Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1631-1650, December.
    4. Ignazio Angeloni & Luc Aucremanne & Michael Ehrmann & Jordi Galí & Andrew Levin & Frank Smets, 2006. "New Evidence on Inflation Persistence and Price Stickiness in the Euro Area: Implications for Macro Modeling," Journal of the European Economic Association, MIT Press, vol. 4(2-3), pages 562-574, 04-05.
    5. Lünnemann, Patrick & Mathä, Thomas Y., 2005. "Consumer price behaviour in Luxembourg: evidence from micro CPI data," Working Paper Series 541, European Central Bank.
    6. Etienne Gagnon, 2009. "Price Setting during Low and High Inflation: Evidence from Mexico," The Quarterly Journal of Economics, Oxford University Press, vol. 124(3), pages 1221-1263.
    7. 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.
    8. Dias, D.A. & Marques, C. Robalo & Santos Silva, J.M.C., 2007. "Time- or state-dependent price setting rules? Evidence from micro data," European Economic Review, Elsevier, vol. 51(7), pages 1589-1613, October.
    9. Claire Loupias & Patrick Sevestre, 2013. "Costs, Demand, and Producer Price Changes," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 315-327, March.
    10. Luis J. Álvarez & Emmanuel Dhyne & Marco Hoeberichts & Claudia Kwapil & Hervé Le Bihan & Patrick Lünnemann & Fernando Martins & Roberto Sabbatini & Harald Stahl & Philip Vermeulen & Jouko Vilmunen, 2006. "Sticky Prices in the Euro Area: A Summary of New Micro-Evidence," Journal of the European Economic Association, MIT Press, vol. 4(2-3), pages 575-584, 04-05.
    11. Lein, Sarah M., 2010. "When do firms adjust prices? Evidence from micro panel data," Journal of Monetary Economics, Elsevier, vol. 57(6), pages 696-715, September.
    12. Alvarez Luis J. & Burriel Pablo, 2010. "Is a Calvo Price Setting Model Consistent with Individual Price Data?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-25, May.
    13. Konstantins Benkovskis & Ludmila Fadejeva & Krista Kalnberzina, 2010. "Price Setting Behaviour in Latvia: Descriptive Evidence from CPI Microdata," Discussion Papers 2010/01, Latvijas Banka.
    14. Benkovskis, Konstantins & Fadejeva, Ludmila & Kalnberzina, Krista, 2012. "Price setting behaviour in Latvia: Econometric evidence from CPI micro data," Economic Modelling, Elsevier, vol. 29(6), pages 2115-2124.
    15. Timo Henckel & Gordon Menzies & Peter Moffat & Daniel J. Zizzo, 2017. "Sticky Belief Adjustment: A Double Hurdle Model and Experimental Evidence," Working Paper Series 40, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    16. Emmanuel Dhyne & Jerzy Konieczny, 2007. "Temporal Distribution of Price Changes: Staggering in the Large and Synchronization in the Small," Working Paper series 01_07, Rimini Centre for Economic Analysis.
    17. Emmanuel Dhyne & Luis J. Alvarez & Herve Le Bihan & Giovanni Veronese & Daniel Dias & Johannes Hoffmann & Nicole Jonker & Patrick Lunnemann & Fabio Rumler & Jouko Vilmunen, 2006. "Price Changes in the Euro Area and the United States: Some Facts from Individual Consumer Price Data," Journal of Economic Perspectives, American Economic Association, vol. 20(2), pages 171-192, Spring.
    18. Fabio Rumler & Alfred Stiglbauer & Josef Baumgartner, 2011. "Patterns and Determinants of Price Changes: Analysing Individual Consumer Prices in Austria," German Economic Review, Verein für Socialpolitik, vol. 12(3), pages 336-350, August.
    19. Schenkelberg, Heike, 2011. "Why are Prices Sticky? Evidence from Business Survey Data," Discussion Papers in Economics 12158, University of Munich, Department of Economics.
    20. Manuel Ramos Francia & Alberto Torres García, 2006. "Inflation Dynamics in Mexico: A Characterization Using the New Phillips Curve," Working Papers 2006-15, Banco de México.
    21. Geert Langenus, 2006. "Fiscal sustainability indicators and policy design in the face of ageing," Working Paper Research 102, National Bank of Belgium.
    22. 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.
    23. Patrick Lünnemann & Ladislav Wintr, 2011. "Price Stickiness in the US and Europe Revisited: Evidence from Internet Prices," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(5), pages 593-621, October.

    More about this item

    Keywords

    consumer prices; time-dependent pricing; state-dependent pricing; Calvo model; Truncated Calvo model; Taylor contracts;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbb:reswpp:200504-1. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/bnbgvbe.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.