IDEAS home Printed from https://ideas.repec.org/a/eee/jeborg/v116y2015icp239-253.html
   My bibliography  Save this article

Multipart tariffs and bounded rationality: An experimental analysis of mobile phone plan choices

Author

Listed:
  • Friesen, Lana
  • Earl, Peter E.

Abstract

Multipart tariff structures add to the computational challenges in choosing mobile phone connection services. We study the quality of decision making in a laboratory environment where consumers only face a small set of mobile phone plan options but have to contend with different degrees of tariff complexity as well as uncertain usage. Our main finding is that simply eliminating the multipart tariff structure does not necessarily lead to better decisions. Rather it is multipart tariffs with included values in excess of monthly fees, thus entailing two-tier pricing structures with increasing marginal costs, which lead to the worst decisions. Knowledgeable participants, who understand mobile phone plan pricing, make significantly better choices.

Suggested Citation

  • Friesen, Lana & Earl, Peter E., 2015. "Multipart tariffs and bounded rationality: An experimental analysis of mobile phone plan choices," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 239-253.
  • Handle: RePEc:eee:jeborg:v:116:y:2015:i:c:p:239-253
    DOI: 10.1016/j.jebo.2015.04.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167268115001262
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stefano DellaVigna & Ulrike Malmendier, 2004. "Contract Design and Self-Control: Theory and Evidence," The Quarterly Journal of Economics, Oxford University Press, vol. 119(2), pages 353-402.
    2. Raj Chetty & Adam Looney & Kory Kroft, 2009. "Salience and Taxation: Theory and Evidence," American Economic Review, American Economic Association, vol. 99(4), pages 1145-1177, September.
    3. Hunt Allcott, 2011. "Consumers' Perceptions and Misperceptions of Energy Costs," American Economic Review, American Economic Association, vol. 101(3), pages 98-104, May.
    4. van Rooij, Maarten & Lusardi, Annamaria & Alessie, Rob, 2011. "Financial literacy and stock market participation," Journal of Financial Economics, Elsevier, vol. 101(2), pages 449-472, August.
    5. Annamaria Lusardi & Olivia S Mitchelli, 2007. "Financial Literacy and Retirement Preparedness: Evidence and Implications for Financial Education," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 42(1), pages 35-44, January.
    6. James Banks & Zoe Oldfield, 2007. "Understanding Pensions: Cognitive Function, Numerical Ability and Retirement Saving," Fiscal Studies, Institute for Fiscal Studies, vol. 28(2), pages 143-170, June.
    7. Michael D. Grubb, 2015. "Consumer Inattention and Bill-Shock Regulation," Review of Economic Studies, Oxford University Press, vol. 82(1), pages 219-257.
    8. Xavier Gabaix & David Laibson, 2018. "Shrouded attributes, consumer myopia and information suppression in competitive markets," Chapters,in: Handbook of Behavioral Industrial Organization, chapter 3, pages 40-74 Edward Elgar Publishing.
    9. Schram, Arthur & Sonnemans, Joep, 2011. "How individuals choose health insurance: An experimental analysis," European Economic Review, Elsevier, vol. 55(6), pages 799-819, August.
    10. Tibor Besedeš & Cary Deck & Sudipta Sarangi & Mikhael Shor, 2012. "Age Effects and Heuristics in Decision Making," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 580-595, May.
    11. Glenn Ellison & Sara Fisher Ellison, 2009. "Search, Obfuscation, and Price Elasticities on the Internet," Econometrica, Econometric Society, vol. 77(2), pages 427-452, March.
    12. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    13. Michael D. Grubb, 2009. "Selling to Overconfident Consumers," American Economic Review, American Economic Association, vol. 99(5), pages 1770-1807, December.
    14. Justine S. Hastings & Brigitte C. Madrian & William L. Skimmyhorn, 2013. "Financial Literacy, Financial Education, and Economic Outcomes," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 347-373, May.
    15. Annamaria Lusardi & Olivia Mitchell, 2006. "Financial Literacy and Retirement Preparedness: Evidence and Implications for Financial Education Programs," Working Papers wp144, University of Michigan, Michigan Retirement Research Center.
    16. Michael D. Grubb & Matthew Osborne, 2015. "Cellular Service Demand: Biased Beliefs, Learning, and Bill Shock," American Economic Review, American Economic Association, vol. 105(1), pages 234-271, January.
    17. Michele Piccione & Ran Spiegler, 2012. "Price Competition Under Limited Comparability," The Quarterly Journal of Economics, Oxford University Press, vol. 127(1), pages 97-135.
    18. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    19. Carlin, Bruce I., 2009. "Strategic price complexity in retail financial markets," Journal of Financial Economics, Elsevier, vol. 91(3), pages 278-287, March.
    20. KalaycI, Kenan & Potters, Jan, 2011. "Buyer confusion and market prices," International Journal of Industrial Organization, Elsevier, vol. 29(1), pages 14-22, January.
    21. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-291, March.
    22. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    23. Greiner, Ben, 2004. "An Online Recruitment System for Economic Experiments," MPRA Paper 13513, University Library of Munich, Germany.
    24. Spiegler, Ran, 2006. "Competition over agents with boundedly rational expectations," Theoretical Economics, Econometric Society, vol. 1(2), pages 207-231, June.
    25. Jennifer Brown & Tanjim Hossain & John Morgan, 2010. "Shrouded Attributes and Information Suppression: Evidence from the Field," The Quarterly Journal of Economics, Oxford University Press, vol. 125(2), pages 859-876.
    26. Stefania Sitzia & Daniel Zizzo, 2011. "Does product complexity matter for competition in experimental retail markets?," Theory and Decision, Springer, vol. 70(1), pages 65-82, January.
    27. Bruce Ian Carlin & Gustavo Manso, 2011. "Obfuscation, Learning, and the Evolution of Investor Sophistication," Review of Financial Studies, Society for Financial Studies, vol. 24(3), pages 754-785.
    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. Mary-Alice Doyle, 2018. "Consumer Credit Card Choice: Costs, Benefits and Behavioural Biases," RBA Research Discussion Papers rdp2018-11, Reserve Bank of Australia.
    2. Xue, Lian & Sitzia, Stefania & Turocy, Theodore L., 2017. "Mathematics self-confidence and the “prepayment effect” in riskless choices," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 239-250.

    More about this item

    Keywords

    Complexity; Laboratory experiments; Mobile phone pricing; Nonlinear pricing; Cellular;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

    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:eee:jeborg:v:116:y:2015:i:c:p:239-253. 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: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/jebo .

    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.