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- W2890433764 abstract "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 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." @default.
- W2890433764 created "2018-09-27" @default.
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- W2890433764 date "2015-07-01" @default.
- W2890433764 modified "2023-09-28" @default.
- W2890433764 title "Usage-Based Pricing and Demand for Residential Broadband" @default.
- W2890433764 doi "https://doi.org/10.3386/w21321" @default.
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