IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/55601.html
   My bibliography  Save this paper

Modelling asymmetric consumer demand response: Evidence from scanner data

Author

Listed:
  • Vespignani, Joaquin L.

Abstract

We used scanner data to test whether two competitive commodities respond symmetrically by volume to price changes. Our results indicate that consumers of the most expensive good (Coca-Cola) respond quite symmetrically when prices go either up or down. In contrast, consumers of the less expensive good (Pepsi-Cola) respond quite asymmetrically. We also introduce the substitution effect in ARDL asymmetric modelling as scanner data permits, showing that most previous asymmetric models using this technique experience omitted variables since this parameter is excluded.

Suggested Citation

  • Vespignani, Joaquin L., 2012. "Modelling asymmetric consumer demand response: Evidence from scanner data," MPRA Paper 55601, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:55601
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/55601/1/MPRA_paper_55601.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bidwell, Miles O, Jr & Wang, Bruce X & Zona, J Douglas, 1995. "An Analysis of Asymmetric Demand Response to Price Changes: The Case of Local Telephone Calls," Journal of Regulatory Economics, Springer, vol. 8(3), pages 285-298, November.
    2. Sam Peltzman, 2000. "Prices Rise Faster than They Fall," Journal of Political Economy, University of Chicago Press, vol. 108(3), pages 466-502, June.
    3. Stephen P. A. Brown & Mine K. Yücel, 2000. "Gasoline and crude oil prices: why the asymmetry?," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Q3, pages 23-29.
    4. Lance J. Bachmeier & James M. Griffin, 2003. "New Evidence on Asymmetric Gasoline Price Responses," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 772-776, August.
    5. Severin Borenstein & A. Colin Cameron & Richard Gilbert, 1997. "Do Gasoline Prices Respond Asymmetrically to Crude Oil Price Changes?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 305-339.
    6. Grasso, Margherita & Manera, Matteo, 2007. "Asymmetric error correction models for the oil-gasoline price relationship," Energy Policy, Elsevier, vol. 35(1), pages 156-177, January.
    7. Bentzen, Jan & Engsted, Tom, 2001. "A revival of the autoregressive distributed lag model in estimating energy demand relationships," Energy, Elsevier, vol. 26(1), pages 45-55.
    8. Georg Müller & Sourav Ray, 2007. "Asymmetric price adjustment: evidence from weekly product-level scanner price data," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 28(7), pages 723-736.
    9. Imad A. Moosa & Param Silvapulle & Mervyn Silvapulle, 2003. "Testing for Temporal Asymmetry in the Price‐Volume Relationship," Bulletin of Economic Research, Wiley Blackwell, vol. 55(4), pages 373-389, October.
    10. Gerlach, Richard & Chen, Cathy W.S. & Lin, Doris S.Y. & Huang, Ming-Hsiang, 2006. "Asymmetric responses of international stock markets to trading volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 422-444.
    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. Rau, Tomás & Sarzosa, Miguel & Urzúa, Sergio, 2021. "The children of the missed pill," Journal of Health Economics, Elsevier, vol. 79(C).
    2. Alice Ciccone & Emilia Soldani, 2021. "Stick or Carrot? Asymmetric Responses to Vehicle Registration Taxes in Norway," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(1), pages 59-94, September.

    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. Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2014. "Forecasting the oil–gasoline price relationship: Do asymmetries help?," Energy Economics, Elsevier, vol. 46(S1), pages 44-56.
    2. Apergis, Nicholas & Vouzavalis, Grigorios, 2018. "Asymmetric pass through of oil prices to gasoline prices: Evidence from a new country sample," Energy Policy, Elsevier, vol. 114(C), pages 519-528.
    3. Michael Polemis, 2012. "Competition and price asymmetries in the Greek oil sector: an empirical analysis on gasoline market," Empirical Economics, Springer, vol. 43(2), pages 789-817, October.
    4. Kristoufek, Ladislav & Lunackova, Petra, 2015. "Rockets and feathers meet Joseph: Reinvestigating the oil–gasoline asymmetry on the international markets," Energy Economics, Elsevier, vol. 49(C), pages 1-8.
    5. Bremmer, Dale S. & Kesselring, Randall G., 2016. "The relationship between U.S. retail gasoline and crude oil prices during the Great Recession: “Rockets and feathers” or “balloons and rocks” behavior?," Energy Economics, Elsevier, vol. 55(C), pages 200-210.
    6. Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2014. "Forecasting the Oil-gasoline Price Relationship: Should We Care about the Rockets and the Feathers?," Working Papers 2014.21, Fondazione Eni Enrico Mattei.
    7. Al-Gudhea, Salim & Kenc, Turalay & Dibooglu, Sel, 2007. "Do retail gasoline prices rise more readily than they fall?: A threshold cointegration approach," Journal of Economics and Business, Elsevier, vol. 59(6), pages 560-574.
    8. Jordi Perdiguero-García, 2010. "“Symmetric or asymmetric gasoline prices? A metaanalysis approach”," IREA Working Papers 201013, University of Barcelona, Research Institute of Applied Economics, revised Nov 2010.
    9. Zhang, Tao & Ma, Guofeng & Liu, Guangsheng, 2015. "Nonlinear joint dynamics between prices of crude oil and refined products," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 444-456.
    10. Koopmans, Carl & Lieshout, Rogier, 2016. "Airline cost changes: To what extent are they passed through to the passenger?," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 1-11.
    11. Kuper, Gerard H., 2012. "Inventories and upstream gasoline price dynamics," Energy Economics, Elsevier, vol. 34(1), pages 208-214.
    12. Moutinho, Victor & Bento, João Paulo Cerdeira & Hajko, Vladimír, 2017. "Price relationships between crude oil and transport fuels in the European Union before and after the 2008 financial crisis," Utilities Policy, Elsevier, vol. 45(C), pages 76-83.
    13. Escribano Alvaro & Torrado María, 2018. "Nonlinear and asymmetric pricing behaviour in the Spanish gasoline market," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(5), pages 1-19, December.
    14. Robert Socha, 2014. "Asymetria relacji cen paliw płynnych w Polsce i cen ropy naftowej," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 5, pages 133-160.
    15. Lo Prete, Chiara & Norman, Catherine S., 2013. "Rockets and feathers in power futures markets? Evidence from the second phase of the EU ETS," Energy Economics, Elsevier, vol. 36(C), pages 312-321.
    16. Zacharias Bragoudakis & Stavros Degiannakis & George Filis, 2019. "Oil and pump prices: is there any asymmetry in the Greek oil downstream sector?," Working Papers 268, Bank of Greece.
    17. Rahman, Mohammad Chhiddikur, 2020. "Welfare Impact of Asymmetric Price Transmission on Bangladesh Rice Consumers," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 242248, September.
    18. María Torrado & Álvaro Escribano, 2020. "European gasoline markets: price transmission asymmetries in mean and variance," Applied Economics, Taylor & Francis Journals, vol. 52(42), pages 4621-4638, September.
    19. Valadkhani, Abbas, 2009. "Do Retail Petrol Prices Rise More Rapidly Than They Fall in Australia’s Capital Cities?," Economics Working Papers wp09-08, School of Economics, University of Wollongong, NSW, Australia.
    20. Radchenko, Stanislav, 2005. "Oil price volatility and the asymmetric response of gasoline prices to oil price increases and decreases," Energy Economics, Elsevier, vol. 27(5), pages 708-730, September.

    More about this item

    Keywords

    Scanner data; Asymmetric consumer demand; Autoregressive;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • D0 - Microeconomics - - General
    • D00 - Microeconomics - - General - - - General
    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising

    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:pra:mprapa:55601. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.