In this paper we study inference for a conditional model with a jump in the conditional density, where the location and size of the jump are described by regression lines. This interesting structure is shared by several structural econometric models. Two prominent examples are the standard...

In this paper we study estimation and inference in structural models with a jump in the conditional density, where the location and size of the jump are described by regression lines. Two prominent examples are auction models, where the density jumps from zero to a positive value, and the...

This paper develops identification and estimation methods for dynamic structural models when agents' actions are unobserved by econometricians. We provide conditions under which choice probabilities and latent state transition rules are non-parametrically identified with a continuous state...

This paper develops identification and estimation methods for dynamic structural models when agents' actions are unobserved by econometricians. We provide conditions under which choice probabilities and latent state transition rules are nonparametrically identified with a continuous state...

This paper develops identification and estimation methods for dynamic structural models when agents' actions are unobserved by econometricians. We provide conditions under which choice probabilities and latent state transition rules are nonparametrically identified with a continuous state...

Broadband availability data collected by the Federal Communications Commission (“FCC”) using its Form 477 are heavily criticized as inaccurate. These data certainly overstate availability since a census block is indicated as having broadband throughout the block even if only a single home in...

In this paper, we estimate the inefficiency in online auctions. Online auctions can be inefficient due to the Internet fraud. A typical example of Internet fraud is when sellers do not send goods to winning bidders even though they have received payment. Therefore, bidders always bear a risk of...

In this paper we propose a two-step semiparametric procedure to estimate first-price auction models. In the first-step, we estimate the bid density and distribution using local polynomial method, and recover a sample of (pseudo) private values. In the second-step, we apply the method of moments...

Using data from "WebsiteX", one of the largest online marketplaces in the world, we estimate a structural model of sponsored search auctions where bidders have heterogeneous click-through curves. Unlike earlier studies, our model accommodates two stylized empirical facts: the advertiser...

This online appendix contains the plots and supplemental descriptions for "Are Estimates of Asymmetric First-Price Auctions Credible? Semi- & Nonparametric Analyses."The paper "Are Estimates of Asymmetric First-Price Auctions Credible? Semi- & Nonparametric Analyses" to which this Supplement...