Estimation of demand is at the heart of many recent studies that examine questions of market power, mergers, innovation … estimating demand for differentiated products: random‐coefficients logit models. The paper carefully discusses the latest …

We provide a new framework to identify demand elasticities in markets where managers rely on algorithmic … identify demand elasticities across hotel room types and over time. We confirm these elasticity estimates with a difference …-function approach to two classic questions in the dynamic pricing literature: the evolution of price elasticity of demand over time as …

We propose a demand estimation method that allows for a large number of zerosale observations, rich unobserved … consumers solves a standard discrete choice problem. We present a Bayesian IV estimation approach that addresses sampling error … an empirical application of air travel demand. …

are heavily censored at zero. The traditional approach for working with such data in demand estimation usually involves …This article develops a model of food demand in which the quality and quantity of food purchased and the inter …