We offer an econometric framework that models a consumer's brand choice decision as a two-stage process: consideration set formation followed by brand selection from the brands in the consideration set. The proposed structural model of consideration set is motivated by the fact that consumers...

We propose a structural model to investigate the impact of forgetting on consumers' brand choice decisions in frequently purchased products. Forgetting results in consumers imperfectly recalling their prior brand evaluations when making a purchase decision in the category. We conceptualize the...

We offer an econometric framework that models consumer's consideration set formation as an outcome of her costly information search behavior. Because frequently purchased products are characterized by frequent price promotions of varying depths of discounts, a consumer faces significant...

We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among those who adopted the...

We study the impact of Zillow’s Zestimate on housing market outcomes and how the impact differs across socio-economic segments. Zestimate is produced by a Machine Learning algorithm using large amounts of data and aims to predict a home’s market value at any time. Zestimate can potentially...

Our work represents one of the first attempts to assess the impact of IT (information technology) on both process output and quality. We examine the optical character recognition and barcode sorting technologies in the mail sorting process at the United States Postal Service. Our analysis is at...