This paper studies how market competition influences the algorithmic design choices of firms in the context of targeting. Firms face the general trade-off between bias and variance when choosing the design of a supervised learning algorithm in terms of model complexity or the number of...

We use an extensive panel of 17 million individuals born between 1947 and 1995 from China's largest online marketplace, Taobao, to study the impact of RAE on the propensity to become an entrepreneur. Using events surrounding the Cultural Revolution and the issuance of the Compulsory Education...

In this paper, we untangle the searchable and experiential dimensions of quality responses to entry by counterfeiters in emerging markets with weak intellectual property rights. Our theoretical framework analyzes the market equilibria under competition with non-deceptive counterfeiting and...

Over the past decade, an increasing number of firms have delegated pricing decisions to algorithms in consumer markets such as travel, entertainment, and retail; business markets such as digital advertising; and platform markets such as ride-sharing. This trend, driven primarily by the increased...