"Paying for Speed: Measuring Willingness to Pay in U.S. Broadband Markets"
I calculate the willingness to pay for consumer broadband plan characteristics while controlling for firm’s choices in characteristics Programs like the federal Lifeline program and U.S. cities building municipal internet infrastructure do so on the idea that the benefits of internet usage are greater than the costs, but the benefits of internet access are still being determined. I use a data set from 29 U.S. markets between 2010 and 2012 to estimate hedonic values of broadband plan characteristics including download speed. I use a control function approach to control for firm's decisions in choosing product characteristics to control for unseen endogeneity. Consumers are willing to pay $13 more for speeds faster than the lowest speed plans, and $48 more for speeds greater than 25 Mbps. These estimates suggest large additional consumer surplus as internet service providers upgrade networks and offer higher speeds to consumers.
"Common Ownership and Television Programming Choice"
A draft is available upon request
I construct a measure of differentiation to find the effect of common ownership across television networks. I categorize television shows into genre and construct a single measure that is useful for comparing conduct across television networks. I find that common ownership between two networks is correlated with more similar programming schedules. This finding is interesting because it contradicts the Hotelling result that multi-product firms differentiate their own products. Additionally, this result is important in discussions of merger analysis where it is often necessary to examine the effects of consolidation on market attributes other than price and quantity.
Works in Progress
"Disruption in Regulated Markets: Taxi's Response to Uber" (With Daniel Diebel)
We analyze the effect of transportation network companies, such as Uber, on existing taxi services in the U.S. We describe the regulatory environment for taxis before entry and use regression analysis to examine changes in price. Early estimates suggest that taxi regulators and firms continued to increase price after Uber entry. Our analysis then examines changes to regulation including expanding existing regulations to entering transportation network companies.