We examine the profitability of personalized pricing policies that are derived using different specifications of demand in a typical retail setting with consumer-level panel data. We generate pricing policies from a variety of models, including Bayesian hierarchical choice models, regularized...

A building block of many models in empirical industrial organization is a characteristic space, where products are modeled as a bundle of characteristics over which consumers have preferences. The ability of such models to predict counterfactual outcomes depends on how well this characteristic...

Economic interdependence of heterogeneous habit forming consumers is examined by using a two-country model. Due to endogenous interest rate adjustments, consumption-habit dynamics in one country are affected by the other country’s habits and preferences. To characterize the interactive...

Economic interdependence of heterogeneous habit forming consumers is examined by using a two-country model. Due to endogenous interest rate adjustments, consumption-habit dynamics in one country are affected by the other country's habits and preferences. To characterize the interactive dynamics,...

Consumers’ time allocation decisions among various activities are fundamental to marketing research and consumer behavior. We construct a dynamic panel data model to examine how consumers allocate time to a portfolio of leisure activities over time. Our data comprise a longitudinal panel where...

Modeling advances create credit scores that predict default better overall, but raise concerns about their effect on protected groups. Focusing on low- and moderate-income (LMI) areas, we use an approach from the Fairness in Machine Learning literature — fairness constraints via group-specific...

Companies are increasingly adopting Artificial Intelligence (AI) today. Recently however debates started over the risk of human cognitive biases being replicated (and scaled) by AI. Research on biases in AI predicting consumer choice is incipient and focuses on observable biases. We provide a...