Usage-Based Pricing and Demand for Residential Broadband

成果类型:
Article
署名作者:
Nevo, Aviv; Turner, John L.; Williams, Jonathan W.
署名单位:
Northwestern University; National Bureau of Economic Research; University System of Georgia; University of Georgia; University of North Carolina; University of North Carolina Chapel Hill
刊物名称:
ECONOMETRICA
ISSN/ISSBN:
0012-9682
DOI:
10.3982/ECTA11927
发表日期:
2016
页码:
411-443
关键词:
consumer CHOICE uncertainty models sales plan
摘要:
We estimate demand for residential broadband using high-frequency data from subscribers facing a three-part tariff. The three-part tariff makes data usage during the billing cycle a dynamic problem, thus generating variation in the (shadow) price of usage. We provide evidence that subscribers respond to this variation, and we use their dynamic decisions to estimate a flexible distribution of willingness to pay for different plan characteristics. Using the estimates, we simulate demand under alternative pricing and find that usage-based pricing eliminates low-value traffic. Furthermore, we show that the costs associated with investment in fiber-optic networks are likely recoverable in some markets, but that there is a large gap between social and private incentives to invest.
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