About Me

I am a sixth year PhD student at the University of Wisconsin–Madison studying applied and theoretical econometrics. I will be attending the ASSA meetings in Atlanta in January 2019, and will be available for interviews.

My job market paper, titled "Simple Inference in First-Price Auctions" lies at the boundary of econometrics and industrial organization. I am also interested in studying shape-restricted problems in econometrics. If you would like to learn more about my research, please visit my research tab, view my CV, or send me an email.

Summary of Research Agenda

Frequently, we estimate models which place limitations on the set of parameter values which are consistent with the model or the observable data. These restrictions may come from a priori beliefs about the true model – such as monotonicity of demand curves – or from statistical or economic theory – such as non-crossing quantile functions or first-price auction models which restrict the set of observable bids. When these restrictions are binding or are close to binding, standard asymptotic theory will generally fail to provide accurate approximations to the finite-sample distribution of the restricted estimator. My current work concerns the construction of estimators and inference methods in shape-restricted models.