The paper introduces Bayesian inference into a demand model. This allows us to test for the negativity condition of the substitution matrix which is difficult to handle directly in the traditional approach. To illustrate the Bayesian inference procedures, we estimate the Rotterdam model and test...

We propose a demand estimation method that allows for a large number of zerosale observations, rich unobserved heterogeneity, and endogenous prices. We do so by modeling small market sizes through Poisson arrivals. Each of these arriving consumers solves a standard discrete choice problem. We...

We utilize household production theory to address the problem of micro-level demand estimation across complementary goods. According to this theory, consumers buy inputs and combine them to produce final goods from which they derive utility. We use this idea to build a structural model of demand...

In this paper, I show that the "Bayesian inversion" of demand, which is defined as the posterior distribution of random utilities given realized choices, can replace Berry, Levinsohn, and Pakes (1995)’ "mean utility inversion" and radically simplify the estimation of discrete choice models...