IDEAS home Printed from https://ideas.repec.org/p/ags/aes008/36862.html
   My bibliography  Save this paper

Price Leadership in UK Food Retailing: Time Series Representation and Evidence

Author

Listed:
  • Lloyd, Tim A.

Abstract

This paper analyses the price of a common basket of products sold in each of the UK’s four largest retail chains to assess propositions regarding price leadership. Data used in this investigation represent weighted average prices of a large group of branded and non-branded products purchased nationally at weekly intervals over a three and half year period and cover purchases in 37 product categories. The data are analysed using vector autoregressive methods, a convenient framework for a statistical investigation of this sort, owing to the time series properties that the price data exhibit. The paper introduces the concepts of strategic and tactical price leadership. Since these correspond to parameter restrictions in the vector autoregression, the statistical tests have a economically meaningful interpretation. While the empirical findings are preliminary, they indicate that Tesco, the largest of the retail chains, acts as price leader in both the strategic and tactical senses.

Suggested Citation

  • Lloyd, Tim A., 2008. "Price Leadership in UK Food Retailing: Time Series Representation and Evidence," 82nd Annual Conference, March 31 - April 2, 2008, Royal Agricultural College, Cirencester, UK 36862, Agricultural Economics Society.
    • Handle: RePEc:ags:aes008:36862
    DOI: 10.22004/ag.econ.36862
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/36862/files/Lloyd.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.36862?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Cheung, Yin-Wong & Lai, Kon S, 1993. "Finite-Sample Sizes of Johansen's Likelihood Ration Tests for Conintegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 55(3), pages 313-328, August.
    2. David F. Hendry & Katarina Juselius, 2001. "Explaining Cointegration Analysis: Part II," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 75-120.
    3. Juselius, Katarina, 2006. "The Cointegrated VAR Model: Methodology and Applications," OUP Catalogue, Oxford University Press, number 9780199285679.
    4. Rotemberg, Julio J & Saloner, Garth, 1990. "Collusive Price Leadership," Journal of Industrial Economics, Wiley Blackwell, vol. 39(1), pages 93-111, September.
    5. Logan, John W. & Lutter, Randall W., 1989. "Guaranteed lowest prices: do they facilitate collusion?," Economics Letters, Elsevier, vol. 31(2), pages 189-192, December.
    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. Sang-Hyun Kim & Hao Lan & Paul W Dobson, 2021. "Identifying price-leadership structures in oligopoly," Oxford Economic Papers, Oxford University Press, vol. 73(1), pages 350-370.
    2. Hao Lan & Paul W. Dobson, 2017. "Healthy Competition to Support Healthy Eating? An Investigation of Fruit and Vegetable Pricing in UK Supermarkets," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 881-900, September.
    3. Kai Yin Woo & Shu Kam Lee, 2018. "Price convergence in the UK supermarket chains: Evidence from nonlinear cointegration approach," Economics and Business Letters, Oviedo University Press, vol. 7(3), pages 115-125.

    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. Dutrénit, Gabriela & Natera, José Miguel & Puchet Anyul, Martín & Vera-Cruz, Alexandre O., 2019. "Development profiles and accumulation of technological capabilities in Latin America," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 396-412.
    2. John T. Cuddington & Leila Dagher, 2015. "Estimating Short and Long-Run Demand Elasticities: A Primer with Energy-Sector Applications," The Energy Journal, , vol. 36(1), pages 185-210, January.
    3. María Lorena Marí Del Cristo & Marta Gómez-Puig, 2013. "Fiscal dynamics in a dollarized, oil-exporting country: Ecuador," Working Papers 13-06, Asociación Española de Economía y Finanzas Internacionales.
    4. Paul Plummer & Daisaku Yamamoto, 2019. "Economic resilience of Japanese nuclear host communities: A quasi-experimental modeling approach," Environment and Planning A, , vol. 51(7), pages 1586-1608, October.
    5. Hasanov, Fakhri J. & Aliyev, Ruslan & Taskin, Dilvin & Suleymanov, Elchin, 2023. "Oil rents and non-oil economic growth in CIS oil exporters. The role of financial development," Resources Policy, Elsevier, vol. 82(C).
    6. Papież, Monika & Śmiech, Sławomir, 2015. "Dynamic steam coal market integration: Evidence from rolling cointegration analysis," Energy Economics, Elsevier, vol. 51(C), pages 510-520.
    7. Katarina Juselius, 2021. "Searching for a Theory That Fits the Data: A Personal Research Odyssey," Econometrics, MDPI, vol. 9(1), pages 1-27, February.
    8. Franz Seitz & Julian von Landesberger, 2014. "Household Money Holdings in the Euro Area: An Explorative Investigation," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 2(2), pages 83-115, November.
    9. Johansen, Søren & Nielsen, Morten Ørregaard, 2018. "The cointegrated vector autoregressive model with general deterministic terms," Journal of Econometrics, Elsevier, vol. 202(2), pages 214-229.
    10. Hasanov, Fakhri, 2012. "The impact of the real exchange rate on non-oil exports. Is there an asymmetric adjustment towards the equilibrium?," MPRA Paper 43728, University Library of Munich, Germany.
    11. Felix Pretis, 2015. "Econometric Models of Climate Systems: The Equivalence of Two-Component Energy Balance Models and Cointegrated VARs," Economics Series Working Papers 750, University of Oxford, Department of Economics.
    12. Torben Schmith & Søren Johansen & Peter Thejll, 2011. "Statistical analysis of global surface air temperature and sea level using cointegration methods," Discussion Papers 11-26, University of Copenhagen. Department of Economics.
    13. Gaolu Zou & K. W. Chau, 2019. "Long- and Short-Run Effects of Fuel Prices on Freight Transportation Volumes in Shanghai," Sustainability, MDPI, vol. 11(18), pages 1-12, September.
    14. Gao Lu Zou & Kwong Wing Chau, 2015. "Determinants and Sustainability of House Prices: The Case of Shanghai, China," Sustainability, MDPI, vol. 7(4), pages 1-25, April.
    15. Zou, Gao Lu, 2012. "The long-term relationships among China's energy consumption sources and adjustments to its renewable energy policy," Energy Policy, Elsevier, vol. 47(C), pages 456-467.
    16. Dagher, Leila & Hasanov, Fakhri J., 2023. "Oil market shocks and financial instability in Asian countries," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 182-195.
    17. Colin Ellis & Simon Price, 2003. "The impact of price competitiveness on UK producer price behaviour," Bank of England working papers 178, Bank of England.
    18. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2008. "Dynamic Stock Market Interactions between the Canadian, Mexican, and the United States Markets: The NAFTA Experience," Working papers 2008-49, University of Connecticut, Department of Economics.
    19. Filip, Ondrej & Janda, Karel & Kristoufek, Ladislav & Zilberman, David, 2019. "Food versus fuel: An updated and expanded evidence," Energy Economics, Elsevier, vol. 82(C), pages 152-166.
    20. Ladislav Kristoufek, 2022. "On the role of stablecoins in cryptoasset pricing dynamics," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-26, December.

    More about this item

    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:ags:aes008:36862. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aesukea.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.