Working Paper 996.聽Songnian Chen, HKUST, Shakeeb Khan, 涩里番下载, and Xun Tang, Rice University, "Dummy Endogenous Variables in Weakly Separable Multiple Index Models without Monotonicity",聽 (04/2020; PDF)
Working Paper 986. Shakeeb Khan, 涩里番下载, Denis Nekipelov, University of Virginia, "On Uniform Inference in Nonlinear Models with Endogeneity", (9/2019; PDF)
Working Paper 985. Shakeeb Khan, 涩里番下载, Arnaud Maurel, Duke University, Yichong Zhang, Singapore Management University, "Informational Content of Factor Structures in Simultaneous Binary Response Models", (9/2019; PDF)
Working Paper 980. Shakeeb Khan, 涩里番下载, Fu Ouyang, University of Queensland, and Elie Tamer, Harvard University, "Inference on Semiparametric Multinomial Response Models", (5/2019; PDF)
Working Paper 979. Shakeeb Khan, 涩里番下载, Maria Ponomareva, Northern Illinois University, and Elie Tamer, Harvard University, "Identification of Dynamic Panel Binary Response Models", (3/2019; PDF)
Working Paper 947. Songnian Chen, HKUST, Shakeeb Khan, and Xun Tang, Rice University, "Exclusion Restrictions in Dynamic Binary Choice Panel Data Models", (02/2018; PDF)
Working Paper 946. Shakeeb Khan, Denis Nekipelov, University of Virginia, and Justin Rao, Microsoft Research, "Measuring the Return to Online Advertising: Estimation and Inference of Endogenous Treatment Effects", (02/2018; PDF)
