IDEAS home Printed from https://ideas.repec.org/p/cdf/wpaper/2021-1.html
   My bibliography  Save this paper

State-Dependent or Time-Dependent Pricing? New Evidence from a Monthly Firm-Level Survey: 1980 2017

Author

Listed:
  • Dixon, Huw

    (Cardiff Business School)

  • Grimme, Christian

    (Leibniz Institute for Economic Research at the University of Munich and CESifo)

Abstract

We examine the relative importance of time and state dependence in the price-setting decisions of firms using a monthly panel of German firms over the period 1980 2017. We propose a re?ned version of time dependence by introducing di?erent hazard functions for price increases and decreases. We ?nd three sets of results. First, time dependence is much more important for price setting than what the previous literature has found. Second, price decreases can be well explained by time dependence alone. Price increases are best predicted by the interaction of time-dependent and ?rm-speci?c state factors. Third, time dependence for price increases and decreases look completely di?erent from each other. Our empirical results suggest that theoretical models should integrate both time and state dependence rather than developing the approaches separately.

Suggested Citation

  • Dixon, Huw & Grimme, Christian, 2021. "State-Dependent or Time-Dependent Pricing? New Evidence from a Monthly Firm-Level Survey: 1980 2017," Cardiff Economics Working Papers E2021/1, Cardiff University, Cardiff Business School, Economics Section.
  • Handle: RePEc:cdf:wpaper:2021/1
    as

    Download full text from publisher

    File URL: http://carbsecon.com/wp/E2021_1.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, President and Fellows of Harvard College, vol. 123(3), pages 863-904.
    2. Taylor, J.B., 2016. "The Staying Power of Staggered Wage and Price Setting Models in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2009-2042, Elsevier.
    3. Sebastian Link, 2018. "Harmonization and Interpretation of the ifo Business Survey's Micro Data," CESifo Working Paper Series 7427, CESifo.
    4. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521142373.
    5. 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.
    6. Taylor, John B, 1980. "Aggregate Dynamics and Staggered Contracts," Journal of Political Economy, University of Chicago Press, vol. 88(1), pages 1-23, February.
    7. Emi Nakamura & Jón Steinsson, 2010. "Monetary Non-neutrality in a Multisector Menu Cost Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 961-1013.
    8. Fernando Alvarez & Francesco Lippi, 2014. "Price Setting With Menu Cost for Multiproduct Firms," Econometrica, Econometric Society, vol. 82(1), pages 89-135, January.
    9. Huw David Dixon & Kun Tian, 2017. "What We can Learn About the Behaviour of Firms from the Average Monthly Frequency of Price-Changes: An Application to the UK CPI Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(6), pages 907-932, December.
    10. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    11. Fernando Alvarez & Francesco Lippi & Juan Passadore, 2017. "Are State- and Time-Dependent Models Really Different?," NBER Macroeconomics Annual, University of Chicago Press, vol. 31(1), pages 379-457.
    12. Bartosz Mackowiak & Mirko Wiederholt, 2009. "Optimal Sticky Prices under Rational Inattention," American Economic Review, American Economic Association, vol. 99(3), pages 769-803, June.
    13. Laurence Ball & David Romer, 1990. "Real Rigidities and the Non-Neutrality of Money," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(2), pages 183-203.
    14. J. B. Taylor & Harald Uhlig (ed.), 2016. "Handbook of Macroeconomics," Handbook of Macroeconomics, Elsevier, edition 1, volume 2, number 2.
    15. Kjetil Storesletten & Chris I. Telmer & Amir Yaron, 2001. "How Important Are Idiosyncratic Shocks? Evidence from Labor Supply," American Economic Review, American Economic Association, vol. 91(2), pages 413-417, May.
    16. Eytan Sheshinski & Yoram Weiss, 1977. "Inflation and Costs of Price Adjustment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(2), pages 287-303.
    17. Mark Schankerman, 2002. "Idiosyncratic and Common Shocks to Investment Decisions," Economic Journal, Royal Economic Society, vol. 112(482), pages 766-785, October.
    18. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204.
    19. Nicoletta Berardi & Erwan Gautier & Hervé Le Bihan, 2015. "More Facts about Prices: France Before and During the Great Recession," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(8), pages 1465-1502, December.
    20. Harald Stahl, 2010. "Price adjustment in German manufacturing: evidence from two merged surveys," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 31(2-3), pages 67-92.
    21. Huw Dixon & Kul Luintel & Kun Tian, 2020. "The Impact of the 2008 Crisis on UK Prices: What We Can Learn from the CPI Microdata," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1322-1341, December.
    22. Etienne Gagnon, 2009. "Price Setting during Low and High Inflation: Evidence from Mexico," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(3), pages 1221-1263.
    23. 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.
    24. Joseph Vavra, 2014. "Inflation Dynamics and Time-Varying Volatility: New Evidence and an Ss Interpretation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 215-258.
    25. Sheedy, Kevin D., 2010. "Intrinsic inflation persistence," Journal of Monetary Economics, Elsevier, vol. 57(8), pages 1049-1061, November.
    26. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LP, edition 2, number long2, March.
    27. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    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. Joshy Easaw & Christian Grimme, 2021. "The Impact of Aggregate Uncertainty on Firm-Level Uncertainty," CESifo Working Paper Series 8934, CESifo.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dixon, Huw D. & Grimme, Christian, 2022. "State-dependent or time-dependent pricing? New evidence from a monthly firm-level survey: 1980–2017," European Economic Review, Elsevier, vol. 150(C).
    2. Emi Nakamura & Jón Steinsson, 2013. "Price Rigidity: Microeconomic Evidence and Macroeconomic Implications," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 133-163, May.
    3. Peng Zhou & Huw Dixon, 2019. "The Determinants of Price Rigidity in the UK: Analysis of the CPI and PPI Microdata and Application to Macrodata Modelling," Manchester School, University of Manchester, vol. 87(5), pages 640-677, September.
    4. Alvarez González, Luis Julián, 2008. "What Do Micro Price Data Tell Us on the Validity of the New Keynesian Phillips Curve?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-36.
    5. Schenkelberg, Heike, 2011. "Why are Prices Sticky? Evidence from Business Survey Data," Discussion Papers in Economics 12158, University of Munich, Department of Economics.
    6. Emmanuel Dhyne & Jerzy Konieczny & Fabio Rumler & Patrick Sevestre, 2009. "Price rigidity in the euro area - An assessment," European Economy - Economic Papers 2008 - 2015 380, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    7. Klenow, Peter J. & Malin, Benjamin A., 2010. "Microeconomic Evidence on Price-Setting," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 6, pages 231-284, Elsevier.
    8. Fernando Alvarez & Hervé Le Bihan & Francesco Lippi, 2016. "The Real Effects of Monetary Shocks in Sticky Price Models: A Sufficient Statistic Approach," American Economic Review, American Economic Association, vol. 106(10), pages 2817-2851, October.
    9. Etienne Gagnon & David López-Salido & Nicolas Vincent, 2013. "Individual Price Adjustment along the Extensive Margin," NBER Macroeconomics Annual, University of Chicago Press, vol. 27(1), pages 235-281.
    10. Emi Nakamura & Jón Steinsson, 2008. "Five Facts about Prices: A Reevaluation of Menu Cost Models," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(4), pages 1415-1464.
    11. Alvarez, Fernando & Lippi, Francesco & ,, 2013. "Small and large price changes and the propagation of monetary shocks," CEPR Discussion Papers 9770, C.E.P.R. Discussion Papers.
    12. Letterie, Wilko & Nilsen, Øivind A., 2016. "Price Changes - Stickiness and Internal Coordination in Multiproduct Firms," Discussion Paper Series in Economics 21/2016, Norwegian School of Economics, Department of Economics.
    13. Huw Dixon & Kul Luintel & Kun Tian, 2020. "The Impact of the 2008 Crisis on UK Prices: What We Can Learn from the CPI Microdata," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1322-1341, December.
    14. Carvalho, Carlos & Kryvtsov, Oleksiy, 2021. "Price selection," Journal of Monetary Economics, Elsevier, vol. 122(C), pages 56-75.
    15. Guido Ascari & Timo Haber, 2019. "Sticky prices and the transmission mechanism of monetary policy: A minimal test of New Keynesian models," Economics Series Working Papers 869, University of Oxford, Department of Economics.
    16. Petrella, Ivan & Santoro, Emiliano & Simonsen, Lasse de la Porte, 2018. "Time-varying Price Flexibility and Inflation Dynamics," CEPR Discussion Papers 13027, C.E.P.R. Discussion Papers.
    17. Peter Karadi & Adam Reiff, 2019. "Menu Costs, Aggregate Fluctuations, and Large Shocks," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(3), pages 111-146, July.
    18. Maarten Dossche, 2009. "Understanding Inflation Dynamics.Where Do We Stand?," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(2), pages 209-227.
    19. Marco Bonomo & Carlos Carvalho, 2010. "Imperfectly Credible Disinflation under Endogenous Time‐Dependent Pricing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(5), pages 799-831, August.
    20. Carlos Carvalho & Niels Arne Dam, 2009. "Estimating the cross-sectional distribution of price stickiness from aggregate data," Staff Reports 419, Federal Reserve Bank of New York.

    More about this item

    Keywords

    Survey Data; Price Setting; Extensive Margin; State-Dependent Pricing; Time-Dependent Pricing;
    All these keywords.

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:cdf:wpaper:2021/1. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Yongdeng Xu (email available below). General contact details of provider: https://edirc.repec.org/data/ecscfuk.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.