Shakeeb Khan

Professor of Economics

External Address: 
213 Social Sciences Bldg., Box 90097, Durham, NC 27708
Internal Office Address: 
Box 90097
Phone: 
(919) 660-1873

Professor Khan is on leave at Boston College for the 2016-17 academic year.

Professor Khan specializes in the fields of mathematical economics, statistics, and applied econometrics. His studies have explored a variety of subjects from covariate dependent censoring and non-stationary panel data, to causal effects of education on wage inequality and the variables affecting infant mortality rates in Brazil. He was awarded funding by National Science Foundation grants for his projects entitled, “Estimation of Binary Choice and Nonparametric Censored Regression Models” and “Estimation of Cross-Sectional and Panel Data Duration Models with General Forms of Censoring.” He has published numerous papers in leading academic journals, including such writings as, “Heteroskedastic Transformation Models with Covariate Dependent Censoring” with E. Tamer and Y. Shin; “The Identification Power of Equilibrium in Simple Games;” “Partial Rank Estimation of Duration Models with General Forms of Censoring” with E. Tamer; and more. He is currently collaborating with D. Nekipelov and J.L. Powell on the project, “Optimal Point and Set Inference in Competing Risk Models;” with A. Lewbel on, “Identification and Estimation of Stochastic Frontier Models;” and with E. Tamer on, “Conditional Moment Inequalities in Roy Models with Cross-Section and Panel Data.”

Education

  • Ph.D., Princeton University 1997
  • M.S., University of Toronto (Canada) 1995
  • B.A., McGill University (Canada) 1992

Khan, S, and Nekipelov, D. "Information Structure and Statistical Information in Discrete Response Models." Economic Research Initiatives at Duke (ERID) Working Paper, no. 110 (September 1, 2011).

Chen, S, Dahl, GB, and Khan, S. "Estimation of a nonparametric censored regression model with an application to unemployment insurance spells." Journal of the American Statistical Association 100, no. 469 (January 1, 2005).

Optimal Inference in Competing Risk/Roy Models using Moment Inequalities awarded by National Science Foundation (Principal Investigator). 2011 to 2014