By integrating a “big” dataset of Internet Speedtest® measurements from Ookla® with data on household incomes from the American Community Survey (ACS), we attempt to measure Internet speeds across income tiers. In the Ookla data, each measurement is technically rigorous but the sample frame is unknown. The ACS provides necessary information on income and Internet access from a known sample frame. Our likelihood combines these data and endogenizes selection effects to identify Internet speed distributions by income tier. We credibly identify the speed distribution for middle and high-income households. However, because the participation rate of low-income households in the Speedtest data is so limited, the speed estimates for these households are not identified.

Related Insights

Working Paper

Internet Inequity in Chicago: Adoption, Affordability, and Availability

A study of Internet equity in Chicago that considers disparities in Internet availability, affordability, and adoption across urban communities.
Aug 08, 2022
Working Paper

Benchmarks or Equity? A New Approach to Measuring Internet Performance

A new approach to measuring Internet performance that rests on comparisons of multiple performance metrics across geographies.
Aug 03, 2022

A Comparative Analysis of Ookla Speedtest and Measurement Labs Network Diagnostic Test (NDT7)

A comparative analysis of two popular speed test tools: Ookla's Speedtest and Measurement Lab's Network Diagnostic Test.
May 24, 2022