This paper considers the structural estimation of the a#liated private value (APV) model in firstprice sealed-bid auctions. The model allows for bidders' individual e#ciencies and opportunity costs, while permitting dependence among bidders' private values through a#liation. We establish the nonparametric identification of the APV model, characterize its theoretical restrictions, and propose a computationally convenient and consistent two-step nonparametric estimation procedure for estimating the joint private value distribution from observed bids. Using simulated bid data we provide a step by step guide on how to implement our procedure and show the good behavior of our estimator in small sample
grantor: University of TorontoIn this thesis I examine various aspects of structural param...
This paper introduces a version of the interdependent value model of Milgrom and Weber (1982), where...
This paper proposes a semiparametric estimation procedure of the first-price auction model with risk...
Thesis (Ph.D.)--University of Washington, 2016-06This dissertation contributes to the structural auc...
Within the affiliated private-values paradigm, we develop a tractable empirical model of equilibrium...
This paper proposes a semiparametric estimation procedure of the first-price auc-tion model with ris...
Recent advances in the application of game theory to the study of auctions have spawned a growing em...
Within the independent private-values paradigm, we demonstrate nonparametric identification of Dutch...
We consider standard auction models when bidders' identities are not-or are only partially-observed ...
Structural econometric studies on auctions have mainly focused on the independentprivate value parad...
The first novelty of this paper is that we show global identification of the private values distribu...
In this paper, I study the nonparametric identification and estimation of multi-unit all-pay auction...
Because of discrete bid increments, bidders at electronic auctions engage in shading instead of reve...
We propose a quantile-based nonparametric approach to inference on the probability density function ...
The first novelty of this paper is that we show global identification of the private values distribu...
grantor: University of TorontoIn this thesis I examine various aspects of structural param...
This paper introduces a version of the interdependent value model of Milgrom and Weber (1982), where...
This paper proposes a semiparametric estimation procedure of the first-price auction model with risk...
Thesis (Ph.D.)--University of Washington, 2016-06This dissertation contributes to the structural auc...
Within the affiliated private-values paradigm, we develop a tractable empirical model of equilibrium...
This paper proposes a semiparametric estimation procedure of the first-price auc-tion model with ris...
Recent advances in the application of game theory to the study of auctions have spawned a growing em...
Within the independent private-values paradigm, we demonstrate nonparametric identification of Dutch...
We consider standard auction models when bidders' identities are not-or are only partially-observed ...
Structural econometric studies on auctions have mainly focused on the independentprivate value parad...
The first novelty of this paper is that we show global identification of the private values distribu...
In this paper, I study the nonparametric identification and estimation of multi-unit all-pay auction...
Because of discrete bid increments, bidders at electronic auctions engage in shading instead of reve...
We propose a quantile-based nonparametric approach to inference on the probability density function ...
The first novelty of this paper is that we show global identification of the private values distribu...
grantor: University of TorontoIn this thesis I examine various aspects of structural param...
This paper introduces a version of the interdependent value model of Milgrom and Weber (1982), where...
This paper proposes a semiparametric estimation procedure of the first-price auction model with risk...