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Estimating Demand for Cellular Phone Service under Nonlinear Pricing

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  • Huang, Ching-I

Abstract

Cellular phone carriers typically offer complicated nonlinear tariffs. Consumers make a discrete choice among several rate plans. Each plan has a nonlinear price schedule, and price is usually lower for in-network calls. I present an empirical framework to estimate demand under such nonlinear pricing schemes by using parsimonious data and apply the estimation method to analyze the cellular phone service market in Taiwan. Based on the estimated model, I evaluate the impacts of termination-based pricing schemes on the market structure. While the existence of in-network discounts causes considerable tipping effects on market shares, the effects come primarily from reducing the average prices, not from the difference between in-network and off-network prices. There is no evidence showing that termination-based pricing by itself has significant effects on market structure.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 6459.

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Date of creation: Oct 2007
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Handle: RePEc:pra:mprapa:6459

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Keywords: termination-based price discrimination; optional rate plans; cellular phone service; structural estimation;

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References

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  1. Nicholas Economides & V. Brian Viard & Katja Seim, 2007. "Quantifying the Benefits of Entry into Local Phone Service," Working Papers 07-48, NET Institute, revised Dec 2007.
  2. Miravete, Eugenio J, 2002. "Estimating Demand for Local Telephone Service with Asymmetric Information and Optional Calling Plans," Review of Economic Studies, Wiley Blackwell, vol. 69(4), pages 943-71, October.
  3. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-90, July.
  4. Gans, J.S. & King, S.P., 2000. "Using 'Bill and Keep' Interconnect Arrangements to Soften Network Competiti on," Department of Economics - Working Papers Series 739, The University of Melbourne.
  5. Jerry A. Hausman, 1997. "Valuing the Effect of Regulation on New Services in Telecommunications," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(1997 Micr), pages 1-54.
  6. Michal Grajek, 2007. "Estimating network effects and compatibility in mobile telecommunications," ESMT Research Working Papers ESMT-07-001, ESMT European School of Management and Technology.
  7. 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.
  8. Kim, Hee-Su & Kwon, Namhoon, 2003. "The advantage of network size in acquiring new subscribers: a conditional logit analysis of the Korean mobile telephony market," Information Economics and Policy, Elsevier, vol. 15(1), pages 17-33, March.
  9. Harikesh Nair & Jean-Pierre Dubé & Pradeep Chintagunta, 2005. "Accounting for Primary and Secondary Demand Effects with Aggregate Data," Marketing Science, INFORMS, vol. 24(3), pages 444-460, November.
  10. 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, Springer, vol. 5(1), pages 1-34, March.
  11. Phillip Leslie, 2004. "Price Discrimination in Broadway Theater," RAND Journal of Economics, The RAND Corporation, vol. 35(3), pages 520-541, Autumn.
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Cited by:
  1. Bajari, Patrick & Fox, Jeremy & Ryan, Stephen, 2006. "Evaluating Wireless Carrier Consolidation Using Semiparametric Demand Estimation," Working paper 300, Regulation2point0.
  2. Ching-I Huang, 2013. "Intra-household effects on demand for telephone service: Empirical evidence," Quantitative Marketing and Economics, Springer, vol. 11(2), pages 231-261, June.
  3. Michael D. Grubb & Matthew Osborne, 2012. "Cellular Service Demand: Biased Beliefs, Learning, and Bill Shock," Boston College Working Papers in Economics 829, Boston College Department of Economics.
  4. Fruchter, Gila E. & Sigué, Simon P., 2013. "Dynamic pricing for subscription services," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2180-2194.
  5. Koichiro Ito, 2012. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," NBER Working Papers 18533, National Bureau of Economic Research, Inc.
  6. 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, Springer, vol. 5(1), pages 1-34, March.

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