This thesis provides insights for firms on how to price and design product plans by combining experimentation and machine learning methods. In Chapter 1, we use multiarmed bandits from reinforcement learning to better inform firms on how to price experiment when faced with an unknown demand...

This paper develops a strategy with simple implementation and limited data requirements to identify spatial distortion of supply from demand – or, equivalently, unequal access to supply among regions – in transportation markets. We apply our method to ride-level, multi-platform data from New...

Jharkhand has a large proportion of marginal and small landholders (84 percent), who mainly practice rain-fed, single-crop subsistence farming, cultivating a low-yielding variety of paddy. A vast majority of these rural producers are unable to transition to high-value commodities. The average...

A critical element of word of mouth (WOM) or buzz marketing is to identify seeds, often central actors with high degree in the social network. Seed identification typically requires data on the full network structure, which is often unavailable. We therefore examine the impact of WOM seeding...