Economics Faculty Directory

Shakeeb Khan

Professor

Department

Economics

Selected Publications

“Identification of Panel Data Models with Endogenous Censoring” (with M. Ponomareva and E. Tamer) Journal of Econometrics,  (2016), 194, 57-75.

“On the Informational Content of “Special Regressors” in Heteroskedastic Binary Response Models” (with S. Chen and X. Tang) Journal of Econometrics,  (2016), 193, 162-182.

“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 Heteroskedastic binary response models in Stata” (with J. Blevins), Stata Journal, (2013), 13, 588-602. 

Downloadable Boston College Working Papers

Working Paper 996. Songnian Chen, HKUST, Shakeeb Khan, Boston College, and Xun Tang, Rice University, "Dummy Endogenous Variables in Weakly Separable Multiple Index Models without Monotonicity",  (04/2020; PDF)

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)