We propose an extension of the Fama-MacBeth regression by allowing stock returns to respond differently to firm characteristics. This heterogeneous model can potentially capture non-linearity and interactions. Empirical, applying it to a common set of fifteen firm characteristics, we find that...

We study the problem of consumer acquisition in recommender systems, by considering a marketplace where a recommender system provider offers personalized incentives to encourage consumer participation. We investigate a model of consumer acquisition that accounts for several key market dynamics,...

Limited access to large-scale data is one of the key obstacles to building machine learning and artificial intelligence applications in healthcare, partly due to a reluctance of information exchange among healthcare institutions out of privacy and data security concerns. To address this issue,...