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Estimating demand for cellular phone service under nonlinear pricing

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  • Ching-I Huang

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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

Article provided by Springer in its journal Quantitative Marketing and Economics.

Volume (Year): 6 (2008)
Issue (Month): 4 (December)
Pages: 371-413

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Handle: RePEc:kap:qmktec:v:6:y:2008:i:4:p:371-413

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Web page: http://www.springerlink.com/link.asp?id=111240

Related research

Keywords: Termination-based price discrimination; Optional rate plans; Cellular phone service; Structural estimation; Three-part tariffs; C35; L11; L15; L96;

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References

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  1. Michal Grajek, 2003. "Estimating Network Effects and Compatibility in Mobile Telecommunications," CIG Working Papers SP II 2003-26, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
  2. 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.
  3. Miravete, Eugenio J, 2000. "Estimating Demand for Local Telephone Service with Asymmetric Information and Optional Calling Plans," CEPR Discussion Papers 2635, C.E.P.R. Discussion Papers.
  4. 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.
  5. Nicholas Economides & Katja Seim & V. Brian Viard, 2005. "Quantifying the Benefits of Entry into Local Phone Service," Working Papers 05-17, New York University, Leonard N. Stern School of Business, Department of Economics.
  6. 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.
  7. Nair, Harikesh S. & Dube, Jean-Pierre & Chintagunta, Pradeep, 2004. "Accounting for Primary and Secondary Demand Effects with Aggregate Data," Research Papers 1949, Stanford University, Graduate School of Business.
  8. 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.
  9. Phillip Leslie, 2004. "Price Discrimination in Broadway Theater," RAND Journal of Economics, The RAND Corporation, vol. 35(3), pages 520-541, Autumn.
  10. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-90, July.
  11. 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.
  12. Philip M. Parker & Lars-Hendrik Roller, 1997. "Collusive Conduct in Duopolies: Multimarket Contact and Cross-Ownership in the Mobile Telephone Industry," RAND Journal of Economics, The RAND Corporation, vol. 28(2), pages 304-322, Summer.
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Cited by:
  1. 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.
  2. 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 537-63, February.
  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. Bölcskei, Vanda, 2010. "A távbeszélő-szolgáltatások keresleti modelljeinek áttekintése - különös tekintettel a vezetékes és mobilszolgáltatások közötti helyettesítés becslésére
    [A review of the demand
    ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 517-535.
  5. Bajari, Patrick & Fox, Jeremy & Ryan, Stephen, 2006. "Evaluating Wireless Carrier Consolidation Using Semiparametric Demand Estimation," Working paper 300, Regulation2point0.
  6. 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.
  7. 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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