Product assortment is a critical competitive tool for retailers to increase sales, maximize profits, and attain customer satisfaction. Increasingly, more and more retailers provide in-store product assortment information online or via smartphone apps for consumers to check if their preferred...

Despite the widespread adoption of recommender systems by online investment platforms, empirical research into their impact on online investors’ behaviors is scarce. Using data from a global e-commerce platform, the authors of this study adopt a regression discontinuity design and causally...

Evaluating the returns to marketing spending and designing optimal budget allocations have been challenging tasks for businesses. New data availability and novel machine learning methods provide new opportunities to significantly improve such decisions. The goal of this paper is to prescribe the...

The outbreak of COVID-19 has caused huge disruptions to the world economy. As a number of countries make progress in containing this outbreak, some of them have started to reopen their economy. We study the curves of recovery after reopening the economy, using a unique real-time dataset of daily...

Medical crowdfunding has seen rapid growth in recent years and it has become a popular channel for people needing financial help. However, there exists large heterogeneity in donations across cases and fundraisers face significant uncertainty in whether their crowdfunding campaigns can meet...

With the rapid growth of e-commerce, financial products are being brought onto online platforms. However, due to the scarcity of data in this new product domain, online platforms face challenges in predicting users' purchase behavior. In this paper, we study whether we can "transfer'' knowledge...