I construct and estimate a dynamic structural model to evaluate the effects of e-cigarette flavor policies on addiction and consumer behavior.
I study a platform’s ability to mitigate algorithmic collusive tendencies via the use of an AI-based recommendation system. This paper is a R&R at The International Journal of Industrial Organization.
I investigate algorithmic heterogeneity to assess whether asymmetric reinforcement learning-based pricing algorithms can effectively learn to engage in tacit collusion.
