This paper studies the nonparametric identification of the first-price auction model with risk averse bidders within the private value paradigm. First, we show that the benchmark model is nonindentified from observed bids. We also derive the restrictions imposed by the model on observables and...

This paper proposes a convenient estimation method for the empirical study of auction models. The authors focus on first-price sealed-bid and descending auctions within the private value paradigm. The method relies upon a simulated nonlinear least squares objective function appropriately...

This paper considers nonparametric identification of a two‐stage entry and bidding game we call the Affiliated‐Signal (AS) model. This model assumes that potential bidders have private values, observe signals of their values prior to entry, and then choose whether to undertake a costly entry...