“Identification of Panel Data Models with Endogenous Censoring” (with M. Pono- mareva and E. Tamer) Journal of Econometrics, (2015), forthcoming.
“On the Informational Content of “Special Regressors” in Heteroskedastic Binary Response Models” (with S. Chen and X. Tang) Journal of Econometrics , (2015), forthcoming.
“Semiparametric Estimation of Program Impacts on Dispersion of Potential Wages (with S.H. Chen), Journal of Applied Econometrics, (2014), 29, 901-919.
“Distribution-free estimation of Heteroskedatic binary response models in Stata” (with J. Blevins), Stata Journal, (2013), 13, 588-602.
Working Paper 986. Shakeeb Khan, Boston College, Denis Nekipelov, University of Virginia, "On Uniform Inference in Nonlinear Models with Endogeneity", (9/2019; PDF)
Working Paper 985. Shakeeb Khan, Boston College, 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, Boston College, Fu Ouyang, University of Queensland, and Elie Tamer, Harvard University, "Inference on Semiparametric Multinomial Response Models", (5/2019; PDF)
Working Paper 979. Shakeeb Khan, Boston College, 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)