Gibrat's law is a referent model of corporate growth dynamics. This paper employs Bayesian panel data methods to test for Gibrat's law and its implications. Using a Pharmaceutical Industry Database (1987-1998), we find evidence against Gibrat's law on average, within or across industries....

We examine the profitability of personalized pricing policies that are derived using different specifications of demand in a typical retail setting with consumer-level panel data. We generate pricing policies from a variety of models, including Bayesian hierarchical choice models, regularized...

We develop a monopolistic-competition model of closed two-sector one-factor economy, where agents are (continuously) heterogeneous in their entrepreneurship abilities and choose between being employees or entrepreneurs. The sufficient conditions in terms of variable elasticity of substitution...