This paper offers a new estimation approach for balancing statistical flexibility and economic regularity in structural econometric models. We focus our analysis on nonparametric demand systems for differentiated goods where such trade-offs are especially salient. Our framework is based on a quasi-Bayes model that transforms a sieve-based estimator of the inverse demand function into a quasi-likelihood, and then uses priors to regularize and enforce economic constraints. The induced quasi-pos...
