We propose an estimator for discrete choice models, such as the logit, with a nonparametric distribution of random coefficients. The estimator is linear regression subject to linear inequality constraints and is robust, simple to program and quick to compute compared to alternative estimators...

With the availability of a rich data set, we will develop a new method of conducting structural analysis of ascending auctions under the simplest valuation paradigm, the symmetric IPV model. The data set allows us to adopt a nonparametric approach and make strong interpretation of observed bids,...