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...

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...

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...

Online markets pose a difficulty for evaluating products, particularly experience goods, such as used cars, that cannot be easily described online. This exacerbates product uncertainty, the buyer's difficulty in evaluating product characteristics and predicting how a product will perform in the...

The traditional measure of consumer surplus (CS) (willingness to pay minus price paid) is captured at the time the transaction takes place, implicitly assuming that actual quality received (ex-post) is identical to quality expected (ex-ante). However, when the exchange of goods does not occur...

When product or service quality cannot be well-specified ex-ante because of uncertainty and information asymmetry, consumer surplus (CS) is not well-defined or known ex-ante. Traditional measures of CS have implicitly assumed that the quality expected is the same as the quality that is paid for....