In this paper, we introduce the Multi-Purchase Multinomial Logit choice model, which extends the random utility maximization framework of the classical Multinomial Logit model to a multiple-purchase setting. In this model, customers sample random utilities for each offered product as in the...

We introduce the click-based MNL choice model, a novel framework for capturing customer purchasing decisions in e-commerce settings. We augment the classical Multinomial Logit choice model with the assumption that customers only consider the items they have clicked on before they proceed to...

The goal of this paper is to leverage household-level data to improve food-related policies aimed atincreasing the consumption of fruits and vegetables (FVs) among low-income households. Currently, several interventions target areas where residents have limited physical access to grocery stores,...