In this paper we introduce a new approach to estimating a differentiated product demand system that allows for error in … demand estimation techniques. Although we find that error in market shares generally undermine the standard point … identification of discrete choice models of demand, we exploit shape restrictions on demand implied by discrete choice to generate a …

This paper develops a flexible discrete-choice demand framework for aggregate data sets that extends Berry, Levinsohn …, and Pakes (1995) and the Pure Characteristics Demand Model of Berry and Pakes (2007). I provide a simple, computationally … observed demand and a Quasi-Bayes approach that minimizes simulation variance. The framework accommodates zero market shares …

In this paper, we introduce a new approach to estimating differentiated product demand systems that allows for products … with zero sales in the data. Zeroes in demand are a common problem in differentiated product markets, but fall outside the … scope of existing demand estimation techniques. We show that with a lower bound imposed on the expected sales quantities, we …