The increasing use of the Internet creates a need to manage traffic while preserving equal treatment of content. We estimate demand for residential broadband, using high-frequency data from subscribers facing a three-part tariff, and use the estimates to study the welfare implications of...

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...

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...

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...

Estimation of demand is at the heart of many recent studies that examine questions of market power, mergers, innovation, and valuation of new brands in differentiated‐products markets. This paper focuses on one of the main methods for estimating demand for differentiated products:...