IDEAS home Printed from https://ideas.repec.org/p/uea/ueaccp/2008_15.html
   My bibliography  Save this paper

Gain or Pain: Does Consumer Activity Reflect Utility Maximisation?

Author

Listed:
  • Yoonhee Tina Chang

    (School of Management, University of Bath)

  • Catherine Waddams Price

    (Centre for Competition Policy, University of East Anglia)

Abstract

Competition Authorities are introducing new informational remedies to help consumers search and switch more actively. Using a specially commissioned data set, and unique direct estimates of the gains, search and switching time which consumers anticipate, we examine the determinants of consumer activity in eight markets. We find that expected costs (and to some extent gains) do influence consumers as a utility maximising model would predict; but that their role is small, and other factors, particularly experience of switching in other markets, are also influential. We conclude that consumers' confidence in their own estimates is crucial in encouraging market activity.

Suggested Citation

  • Yoonhee Tina Chang & Catherine Waddams Price, 2008. "Gain or Pain: Does Consumer Activity Reflect Utility Maximisation?," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2008-15, Centre for Competition Policy, University of East Anglia, Norwich, UK..
  • Handle: RePEc:uea:ueaccp:2008_15
    as

    Download full text from publisher

    File URL: https://ueaeco.github.io/working-papers/papers/ccp/CCP-08-15.pdf
    File Function: main text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Julio J. Rotemberg, 2008. "Behavioral Aspects of Price Setting, and Their Policy Implications," NBER Working Papers 13754, National Bureau of Economic Research, Inc.
    2. Evens Salies and Catherine Waddams Price, 2004. "Charges, Costs and Market Power: the Deregulated UK Electricity Retail Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 19-36.
    3. Ali Hortaçsu & Chad Syverson, 2004. "Product Differentiation, Search Costs, and Competition in the Mutual Fund Industry: A Case Study of S&P 500 Index Funds," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(2), pages 403-456.
    4. Elizabeth Kiser, 2002. "Predicting Household Switching Behavior and Switching Costs at Depository Institutions," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 20(4), pages 349-365, June.
    5. Paul Klemperer, 1995. "Competition when Consumers have Switching Costs: An Overview with Applications to Industrial Organization, Macroeconomics, and International Trade," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(4), pages 515-539.
    6. Waterson, Michael, 2003. "Consumers and Competition," Economic Research Papers 269563, University of Warwick - Department of Economics.
    7. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    8. Waterson, Michael, 2003. "The role of consumers in competition and competition policy," International Journal of Industrial Organization, Elsevier, vol. 21(2), pages 129-150, February.
    9. Blundell,Richard & Newey,Whitney K. & Persson,Torsten (ed.), 2006. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9780521871525.
    10. Pei-Yu (Sharon) Chen & Lorin M. Hitt, 2002. "Measuring Switching Costs and the Determinants of Customer Retention in Internet-Enabled Businesses: A Study of the Online Brokerage Industry," Information Systems Research, INFORMS, vol. 13(3), pages 255-274, September.
    11. Kim, Moshe & Kliger, Doron & Vale, Bent, 2003. "Estimating switching costs: the case of banking," Journal of Financial Intermediation, Elsevier, vol. 12(1), pages 25-56, January.
    12. Farrell, Joseph & Klemperer, Paul, 2007. "Coordination and Lock-In: Competition with Switching Costs and Network Effects," Handbook of Industrial Organization, Elsevier.
    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. Curtis, John & Devitt, Niamh & di Cosmo, Valeria & Farrell, Niall & FitzGerald, John & Hyland, Marie & Lynch, Muireann & Lyons, Sean & McCoy, Daire & Malaguzzi Valeri, Laura & Walsh, Darragh, 2014. "Irish Energy Policy: An Analysis of Current Issues," Research Series, Economic and Social Research Institute (ESRI), number rs37 edited by FitzGerald, John & Malaguzzi Valeri, Laura, June.
    2. Wilson, Chris M., 2012. "Market frictions: A unified model of search costs and switching costs," European Economic Review, Elsevier, vol. 56(6), pages 1070-1086.
    3. Defeuilley, Christophe, 2009. "Retail competition in electricity markets," Energy Policy, Elsevier, vol. 37(2), pages 377-386, February.
    4. Wilson, Chris M, 2009. "Market Frictions: A Unified Model of Search and Switching Costs," MPRA Paper 13672, University Library of Munich, Germany.
    5. Chris Wilson, 2009. "Market Frictions: A Unified Model of Search Costs and Switching Costs," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2009-03, Centre for Competition Policy, University of East Anglia, Norwich, UK..

    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. Catherine Waddams Price & Catherine Webster & Minyan Zhu, 2013. "Searching and Switching: Empirical estimates of consumer behaviour in regulated markets," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2013-11, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    2. Wilson, Chris M, 2009. "Market Frictions: A Unified Model of Search and Switching Costs," MPRA Paper 13672, University Library of Munich, Germany.
    3. Wilson, Chris M., 2012. "Market frictions: A unified model of search costs and switching costs," European Economic Review, Elsevier, vol. 56(6), pages 1070-1086.
    4. Anderson, Robert D.J. & Ashton, John K. & Hudson, Robert S., 2014. "The influence of product age on pricing decisions: An examination of bank deposit interest rate setting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 216-230.
    5. Nils-Henrik M. von der Fehr & Petter Vegard Hansen, 2010. "Electricity Retailing in Norway," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 25-46.
    6. Donatella Porrini & Giovanni B. Ramello, 2005. "Competition in banking: switching costs and the limits of antitrust enforcement," Chapters, in: Alain Marciano & Jean-Michel Josselin (ed.), Law and the State, chapter 13, Edward Elgar Publishing.
    7. Marc Pomp & Victoria Shestalova, 2007. "Switching Costs in Netherlands Energy Markets: Can Liberalisation Bring Benefits to Small Customers?," De Economist, Springer, vol. 155(3), pages 305-321, September.
    8. Wei Yin & Kent Matthews, 2016. "The determinants and profitability of switching costs in Chinese banking," Applied Economics, Taylor & Francis Journals, vol. 48(43), pages 4156-4166, September.
    9. Massimo Dragotto & Marco Magnani & Paola Valbonesi, 2021. "Consumer inertia and firm incumbency in liberalised retail electricity markets: an empirical investigation," "Marco Fanno" Working Papers 0277, Dipartimento di Scienze Economiche "Marco Fanno".
    10. Wilson, Chris, 2006. "Markets with Search and Switching Costs," MPRA Paper 131, University Library of Munich, Germany, revised 06 Oct 2006.
    11. Bouckaert, Jan & Degryse, Hans & Provoost, Thomas, 2010. "Enhancing market power by reducing switching costs," Economics Letters, Elsevier, vol. 109(2), pages 131-133, November.
    12. Zhao, Tianshu & Matthews, Kent & Murinde, Victor, 2013. "Cross-selling, switching costs and imperfect competition in British banks," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5452-5462.
    13. Salies, Evens, 2005. "A Measure of Switching Costs in the GB Electricity Retail Market," MPRA Paper 28255, University Library of Munich, Germany, revised Apr 2007.
    14. Evens Salies, 2008. "Mergers in the GB electricity market: effects on retail charges," Applied Economics, Taylor & Francis Journals, vol. 40(11), pages 1483-1490.
    15. Jackie Krafft & Evens Salies, 2008. "Why and how should innovative industries with high consumer switching costs be re-regulated?," Documents de Travail de l'OFCE 2008-04, Observatoire Francais des Conjonctures Economiques (OFCE).
    16. Chris Wilson, 2009. "Market Frictions: A Unified Model of Search Costs and Switching Costs," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2009-03, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    17. repec:spo:wpecon:info:hdl:2441/6143 is not listed on IDEAS
    18. Moraga-González, José Luis & Wildenbeest, Matthijs R., 2008. "Maximum likelihood estimation of search costs," European Economic Review, Elsevier, vol. 52(5), pages 820-848, July.
    19. Lucio Fuentelsaz & Juan Pablo Maicas & Yolanda Polo, 2012. "Switching Costs, Network Effects, and Competition in the European Mobile Telecommunications Industry," Information Systems Research, INFORMS, vol. 23(1), pages 93-108, March.
    20. repec:hal:spmain:info:hdl:2441/6143 is not listed on IDEAS
    21. repec:hal:wpspec:info:hdl:2441/6143 is not listed on IDEAS
    22. Jason Allen & Shaoteng Li, 2020. "Dynamic Competition in Negotiated Price Markets," Staff Working Papers 20-22, Bank of Canada.
    23. Brunetti, M. & Ciciretti, R. & Djordjevic, Lj., 2020. "Till mortgage do us part: Mortgage switching costs and household's bank switching," Journal of Banking & Finance, Elsevier, vol. 119(C).

    More about this item

    Keywords

    consumer behaviour; search and switching; informational remedies;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • L88 - Industrial Organization - - Industry Studies: Services - - - Government Policy
    • L98 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Government Policy

    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:uea:ueaccp:2008_15. 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: Juliette Hardmad (email available below). General contact details of provider: https://edirc.repec.org/data/esueauk.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.