Complementarities in Learning from Data: Insights from General Search
Published: September 2022
This study analyzes the potential of anticompetitive effects from “big data.” The paper emphasizes that statistical learning processes are likely to benefit from complementarities between different dimensions of data aggregation. The authors test this hypothesis using real-world search engine data from Yahoo! and find evidence consistent with locally increasing returns to scale.
Abstract and Citation
Maximilian Schaefer and Geza Sapi. 2022. Working Paper.