A common issue in online dating platforms is that many users focus their attention on a subset of popular peers, which leads to congestion and thus lower matching rates. Our study examines the results of a randomized natural field experiment, wherein our corporate partner, a large online dating...

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed by the inclusion of those...

One key objective of matching platforms is to facilitate market clearing. When the supply and demand for services are unbalanced, congestion issues arise. Specifically, when workers can apply for unlimited employers/jobs with negligible application costs, employers may face excessive...