Estimating demand for wide assortments of differentiated goods requires the specification of a demand system that is sufficiently flexible. However, flexible models are highly parameterized so estimation requires appropriate forms of regularization to avoid overfitting. In this paper, we study...

Choice models in marketing and economics are generally derived without specifying the underlying cognitive process of decision making. This approach has been successfully used to predict choice behavior. However, it has not much to say about such aspects of decision making as deliberation,...

In the social sciences, it is often useful to introduce latent variables and use structural equation modeling to quantify relations among observable and latent variables. This paper presents a manual, describing how to estimate structural equation models in a Bayesian approach with R. Parameter...