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Journal Articles
- Khan, S; Ponomareva, M; Tamer, E, Identification of panel data models with endogenous censoring,
Journal of Econometrics, vol. 194 no. 1
(September, 2016),
pp. 57-75, ISSN 0304-4076 [doi] [abs]
- Chen, S; Khan, S; Tang, X, Informational content of special regressors in heteroskedastic binary response models,
Journal of Econometrics, vol. 193 no. 1
(July, 2016),
pp. 162-182 [doi]
- Chen, SH; Khan, S, Semi-parametric estimation of program impacts on dispersion of potential wages,
Journal of Applied Econometrics, vol. 29 no. 6
(January, 2014),
pp. 901-919, ISSN 0883-7252 [doi] [abs]
- Khan, S; Nekipelov, D, On Uniform Inference in Nonlinear Models with Endogeneity no. 153
(September, 2013),
pp. 64 pages [abs]
- DeLeire, T; Khan, S; Timmins, C, ROY MODEL SORTING AND NONRANDOM SELECTION IN THE VALUATION OF A STATISTICAL LIFE,
International Economic Review, vol. 54 no. 1
(February, 2013),
pp. 279-306, ISSN 0020-6598 [Gateway.cgi], [doi]
- Chen, SH; Khan, S, SEMI-PARAMETRIC ESTIMATION OF PROGRAM IMPACTS ON DISPERSION OF POTENTIAL WAGES,
Journal of Applied Econometrics
(2013), ISSN 0883-7252 [doi] [abs]
- Blevins, JR; Khan, S, Distribution-free estimation of heteroskedastic binary response models in Stata,
The Stata journal, vol. 13 no. 3
(2013),
pp. 588-602, ISSN 1536-867X [abs]
- Blevins, JR; Khan, S, Local NLLS estimation of semi-parametric binary choice models,
The Econometrics Journal, vol. 16 no. 2
(2013),
pp. 135-160, ISSN 1368-4221 [Gateway.cgi], [doi]
- Khan, S, Distribution free estimation of heteroskedastic binary response models using Probit/Logit criterion functions,
Journal of Econometrics, vol. 172 no. 1
(2013),
pp. 168-182, ISSN 0304-4076 [doi] [abs]
- Khan, S; Nekipelov, D, Information Structure and Statistical Information in Discrete Response Models no. 110
(September, 2011)
- Khan, S; Shin, Y; Tamer, E, Heteroscedastic transformation models with covariate dependent censoring,
Journal of business & economic statistics : a publication of the American Statistical Association, vol. 29 no. 1
(2011),
pp. 40-48, ISSN 0735-0015 [doi] [abs]
- Khan, S; Ponomareva, M; Tamer, E, Sharpness in randomly censored linear models,
Economics Letters, vol. 113 no. 1
(2011),
pp. 23-25, ISSN 0165-1765 [doi] [abs]
- Bayer, P; Khan, S; Timmins, C, Nonparametric identification and estimation in a Roy model with common nonpecuniary returns,
Journal of business & economic statistics : a publication of the American Statistical Association, vol. 29 no. 2
(2011),
pp. 201-215, ISSN 0735-0015 [doi] [abs]
- Arcidiacono, P; Khan, S; Vigdor, JL, Representation versus assimilation: How do preferences in college admissions affect social interactions?,
Journal of Public Economics, vol. 95 no. 1-2
(2011),
pp. 1-15, ISSN 0047-2727 [doi] [abs]
- Gamper-Rabindran, S; Khan, S; Timmins, C, The impact of piped water provision on infant mortality in Brazil: A quantile panel data approach,
Journal of Development Economics, vol. 92 no. 2
(2010),
pp. 188-200, ISSN 0304-3878 [repository], [doi] [abs]
- Khan, S; Tamer, E, Irregular Identification, Support Conditions, and Inverse Weight Estimation,
Econometrica, vol. 78 no. 6
(2010),
pp. 2021-2042, ISSN 0012-9682 [doi] [abs]
- Abrevaya, J; Hausman, JA; Khan, S, Testing for Causal Effects in a Generalized Regression Model With Endogenous Regressors,
Econometrica, vol. 78 no. 6
(2010),
pp. 2043-2061, ISSN 0012-9682 [doi] [abs]
- Khan, S; Tamer, E, Inference on endogenously censored regression models using conditional moment inequalities,
Journal of Econometrics, vol. 152 no. 2
(2009),
pp. 104-119, ISSN 0304-4076 [doi] [abs]
- Chen, S; Khan, S, Semiparametric estimation of nonstationary censored panel data models with time varying factor loads,
Econometric Theory, vol. 24 no. 5
(2008),
pp. 1149-1173, ISSN 0266-4666 [repository], [doi] [abs]
- Khan, S, Comment,
Journal of business & economic statistics : a publication of the American Statistical Association, vol. 26 no. 3
(2008),
pp. 294-295, ISSN 0735-0015 [doi]
- Khan, S; Tamer, E, Partial rank estimation of duration models with general forms of censoring,
Journal of Econometrics, vol. 136 no. 1
(2007),
pp. 251-280, ISSN 0304-4076 [repository], [doi] [abs]
- Khan, S; Lewbel, A, Weighted and two-stage least squares estimation of semiparametric truncated regression models,
Econometric Theory, vol. 23 no. 2
(2007),
pp. 309-347, ISSN 0266-4666 [repository], [doi] [abs]
- Chen, S; Dahl, GB; Khan, S, Estimation of a nonparametric censored regression model with an application to unemployment insurance spells,
Journal of the American Statistical Association, vol. 100 no. 469
(January, 2005) [abs]
- Chen, S; Dahl, GB; Khan, S, Nonparametric identification and estimation of a censored location-scale regression model,
Journal of the American Statistical Association, vol. 100 no. 469
(2005),
pp. 212-221, ISSN 0162-1459 [doi] [abs]
- Chen, S; Khan, S, Rates of convergence for estimating regression coefficients in heteroskedastic discrete response models,
Journal of Econometrics, vol. 117 no. 2
(2003),
pp. 245-278 [repository], [doi] [abs]
- Chen, S; Khan, S, Semiparametric estimation of a heteroskedastic sample selection model,
Econometric Theory, vol. 19 no. 6
(2003),
pp. 1040-1064 [repository], [doi] [abs]
- Honoré, B; Khan, S; Powell, JL, Quantile regression under random censoring,
Journal of Econometrics, vol. 109 no. 1
(2002),
pp. 67-105 [repository], [doi] [abs]
- Chen, S; Khan, S, Semiparametric estimation of a partially linear censored regression model,
Econometric Theory, vol. 17 no. 3
(2001),
pp. 567-590, ISSN 0266-4666 [repository] [abs]
- Khan, S; Powell, JL, Two-step estimation of semiparametric censored regression models,
Journal of Econometrics, vol. 103 no. 1-2
(2001),
pp. 73-110 [repository], [doi] [abs]
- Khan, S, Two-stage rank estimation of quantile index models,
Journal of Econometrics, vol. 100 no. 2
(2001),
pp. 319-355 [repository], [doi] [abs]
- Chen, S; Khan, S, Estimating censored regression models in the presence of nonparametric multiplicative heteroskedasticity,
Journal of Econometrics, vol. 98 no. 2
(2000),
pp. 283-316 [repository] [abs]
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