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Cellular Service Demand: Biased Beliefs, Learning, and Bill Shock

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  • Michael D. Grubb
  • Matthew Osborne

Abstract

Following FCC pressure to end bill shock, cellular carriers now alert customers when they exceed usage allowances. We estimate a model of plan choice, usage, and learning using a 2002-2004 panel of cellular bills. Accounting for firm price adjustment, we predict that implementing alerts in 2002-2004 would have lowered average annual consumer welfare by $33. We show that consumers are inattentive to past usage, meaning that bill-shock alerts are informative. Additionally, our estimates imply that consumers are overconfident, underestimating the variance of future calling. Overconfidence costs consumers $76 annually at 2002-2004 prices. Absent overconfidence, alerts would have little to no effect. (JEL D12, D18, L11, L96, L98)

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  • 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.
    • Handle: RePEc:aea:aecrev:v:105:y:2015:i:1:p:234-71
    Note: DOI: 10.1257/aer.20120283
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    1. George Loewenstein & Ted O'Donoghue & Matthew Rabin, 2003. "Projection Bias in Predicting Future Utility," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1209-1248.
    2. Liran Einav & Amy Finkelstein & Iuliana Pascu & Mark R. Cullen, 2012. "How General Are Risk Preferences? Choices under Uncertainty in Different Domains," American Economic Review, American Economic Association, vol. 102(6), pages 2606-2638, October.
    3. Ching-I Huang, 2008. "Estimating demand for cellular phone service under nonlinear pricing," Quantitative Marketing and Economics (QME), Springer, vol. 6(4), pages 371-413, December.
    4. Pascal Courty & Li Hao, 2000. "Sequential Screening," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(4), pages 697-717.
    5. Kfir Eliaz & Ran Spiegler, 2006. "Contracting with Diversely Naive Agents," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(3), pages 689-714.
    6. Spiegler, Ran, 2014. "Bounded Rationality and Industrial Organization," OUP Catalogue, Oxford University Press, number 9780199334261.
    7. Mark Armstrong & Robert Porter (ed.), 2007. "Handbook of Industrial Organization," Handbook of Industrial Organization, Elsevier, edition 1, volume 3, number 1.
    8. Stefano DellaVigna & Ulrike Malmendier, 2004. "Contract Design and Self-Control: Theory and Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(2), pages 353-402.
    9. McFadden, Daniel & Ruud, Paul A, 1994. "Estimation by Simulation," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 591-608, November.
    10. Meghan R. Busse, 2000. "Multimarket Contact and Price Coordination in the Cellular Telephone Industry," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 9(3), pages 287-320, June.
    11. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    12. Baron, David P. & Besanko, David, 1984. "Regulation and information in a continuing relationship," Information Economics and Policy, Elsevier, vol. 1(3), pages 267-302.
    13. Minjung Park, 2011. "The Economic Impact of Wireless Number Portability," Journal of Industrial Economics, Wiley Blackwell, vol. 59(4), pages 714-745, December.
    14. Michael D. Grubb, 2009. "Selling to Overconfident Consumers," American Economic Review, American Economic Association, vol. 99(5), pages 1770-1807, December.
    15. Jean-Charles Rochet & Lars A. Stole, 2002. "Nonlinear Pricing with Random Participation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(1), pages 277-311.
    16. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
    17. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    18. Miravete, Eugenio J, 1996. "Screening Consumers through Alternative Pricing Mechanisms," Journal of Regulatory Economics, Springer, vol. 9(2), pages 111-132, March.
    19. Gregory S. Crawford & Matthew Shum, 2005. "Uncertainty and Learning in Pharmaceutical Demand," Econometrica, Econometric Society, vol. 73(4), pages 1137-1173, July.
    20. Saurabh Bhargava & Vikram S. Pathania, 2013. "Driving under the (Cellular) Influence," American Economic Journal: Economic Policy, American Economic Association, vol. 5(3), pages 92-125, August.
    21. Armstrong, Mark & Vickers, John, 2001. "Competitive Price Discrimination," RAND Journal of Economics, The RAND Corporation, vol. 32(4), pages 579-605, Winter.
    22. Sridhar Narayanan & Pradeep Chintagunta & Eugenio Miravete, 2007. "The role of self selection, usage uncertainty and learning in the demand for local telephone service," Quantitative Marketing and Economics (QME), Springer, vol. 5(1), pages 1-34, March.
    23. Andrew Ching & Tülin Erdem & Michael Keane, 2009. "The price consideration model of brand choice," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(3), pages 393-420, April.
    24. Peter C. Reiss & Matthew W. White, 2005. "Household Electricity Demand, Revisited," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 853-883.
    25. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
    26. Anja Lambrecht & Katja Seim & Bernd Skiera, 2007. "Does Uncertainty Matter? Consumer Behavior Under Three-Part Tariffs," Marketing Science, INFORMS, vol. 26(5), pages 698-710, 09-10.
    27. Stole, Lars A., 2007. "Price Discrimination and Competition," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.), Handbook of Industrial Organization, edition 1, volume 3, chapter 34, pages 2221-2299, Elsevier.
    28. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    29. Matthew Osborne, 2011. "Consumer learning, switching costs, and heterogeneity: A structural examination," Quantitative Marketing and Economics (QME), Springer, vol. 9(1), pages 25-70, March.
    30. Martin Gaynor & Yunfeng Shi & Rahul Telang & William Vogt, 2005. "Cell Phone Demand and Consumer Learning – An Empirical Analysis," Working Papers 05-28, NET Institute, revised Oct 2005.
    31. Katja Seim & V. Brian Viard, 2011. "The Effect of Market Structure on Cellular Technology Adoption and Pricing," American Economic Journal: Microeconomics, American Economic Association, vol. 3(2), pages 221-251, May.
    32. Riordan, Michael H & Sappington, David E M, 1987. "Awarding Monopoly Franchises," American Economic Review, American Economic Association, vol. 77(3), pages 375-387, June.
    33. Victor Stango & Jonathan Zinman, 2009. "What Do Consumers Really Pay on Their Checking and Credit Card Accounts? Explicit, Implicit, and Avoidable Costs," American Economic Review, American Economic Association, vol. 99(2), pages 424-429, May.
    34. Benjamin R. Handel, 2011. "Adverse Selection and Switching Costs in Health Insurance Markets: When Nudging Hurts," NBER Working Papers 17459, National Bureau of Economic Research, Inc.
    35. Lee, Lung-fei, 1999. "Estimation of dynamic and ARCH Tobit models," Journal of Econometrics, Elsevier, vol. 92(2), pages 355-390, October.
    36. Daniel A. Ackerberg, 2003. "Advertising, learning, and consumer choice in experience good markets: an empirical examination," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(3), pages 1007-1040, August.
    37. Cardon, James H & Hendel, Igal, 2001. "Asymmetric Information in Health Insurance: Evidence from the National Medical Expenditure Survey," RAND Journal of Economics, The RAND Corporation, vol. 32(3), pages 408-427, Autumn.
    38. Gourieroux, Christian & Monfort, Alain, 1993. "Simulation-based inference : A survey with special reference to panel data models," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 5-33, September.
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    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D18 - Microeconomics - - Household Behavior - - - Consumer Protection
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
    • L98 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Government Policy

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