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Split-Award Auctions: Insights from Theory and Experiments
We investigate procurement in a setting in which the buyer is bound by sourcing rules. Sourcing rules may limit the minimum and maximum amounts of business that can be awarded to a single supplier or dictate the minimum ...
Random Projection Estimation of Discrete-Choice Models with Large Choice Sets
We introduce random projection, an important dimension-reduction tool from machine learning, for the estimation of aggregate discrete-choice models with high-dimensional choice sets. Initially, high-dimensional data are ...