Estimating Demand for Cellular Phone Service under Nonlinear Pricing
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- 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.
References listed on IDEAS
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Citations
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- Patrick Bajari & Jeremy T. Fox & Stephen Ryan, 2006. "Evaluating Wireless Carrier Consolidation Using Semiparametric Demand Estimation," NBER Working Papers 12425, National Bureau of Economic Research, Inc.
- Ching-I Huang, 2013.
"Intra-household effects on demand for telephone service: Empirical evidence,"
Quantitative Marketing and Economics (QME), Springer, vol. 11(2), pages 231-261, June.
- Ching-I Huang, 2013. "Intra-household effects on demand for telephone service: Empirical evidence," Quantitative Marketing and Economics (QME), Springer, vol. 11(2), pages 231-261, June.
- Huang, Ching-I, 2008. "Intra-Household Effects on Demand for Telephone Service: Empirical Evidence," MPRA Paper 6813, University Library of Munich, Germany.
- Chen, Liang & Luo, Yao, 2023. "Empirical analysis of network effects in nonlinear pricing data," International Journal of Industrial Organization, Elsevier, vol. 91(C).
- Shi, Mengze & Yang, Botao & Chiang, Jeongwen, 2018. "Dyad Calling Behavior: Asymmetric Power and Tie Strength Dynamics," Journal of Interactive Marketing, Elsevier, vol. 42(C), pages 63-79.
- 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.
- 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.
- Kim, Hyun-gyu, 2019. "Estimating demand response in an extreme block pricing environment: Evidence from Korea's electricity pricing system, 2005–2014," Energy Policy, Elsevier, vol. 132(C), pages 1076-1086.
- 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.
- Gadi Fibich & Roy Klein & Oded Koenigsberg & Eitan Muller, 2017. "Optimal Three-Part Tariff Plans," Operations Research, INFORMS, vol. 65(5), pages 1177-1189, October.
- Dalton, Christina M., 2014. "Estimating demand elasticities using nonlinear pricing," International Journal of Industrial Organization, Elsevier, vol. 37(C), pages 178-191.
- 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.
- 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.
- 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.
- Jiekai ZHANG, 2016. "The impact of advertising length caps on TV: Evidence from the French broadcast TV industry," Working Papers 16-06, NET Institute.
- Liang Chen & Yao Luo, 2023. "Empirical Analysis of Network Effects in Nonlinear Pricing Data," Working Papers tecipa-758, University of Toronto, Department of Economics.
- Bölcskei, Vanda, 2010. "A távbeszélő-szolgáltatások keresleti modelljeinek áttekintése - különös tekintettel a vezetékes és mobilszolgáltatások közötti helyettesítés becslésére [A review of the demand models of telephone ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 517-535.
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More about this item
Keywords
termination-based price discrimination; optional rate plans; cellular phone service; structural estimation;All these keywords.
JEL classification:
- L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
- L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
NEP fields
This paper has been announced in the following NEP Reports:- NEP-DCM-2008-01-05 (Discrete Choice Models)
- NEP-MIC-2008-01-05 (Microeconomics)
- NEP-MKT-2008-01-05 (Marketing)
- NEP-NET-2008-01-05 (Network Economics)
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