This year we have one student working in the field of Econometrics on the academic job market. Isaac Loh studies identification and estimation in non-parametric instrumental variable (IV) models when both the regressor and the instrument are discrete random variables. His main result shows that even when the instrument is binary, the model is most often point identified via a set of polynomial equations that in turn lead to an estimator. You can find his job market paper here. Additional information can be found on his website: Isaac Loh

This year we have one student working in the field of Econometrics on the academic job market. Max Tabord-Meehan studies how to optimally stratify in randomized controlled experiments using stratification trees in order to obtain estimators of average treatment effects with small variance. You can find here job market paper here. Additional information can be found on her website: Max Tabord-Meehan