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Estimating a nonparametric triangular model with binary endogenous regressors

Jun, Sung Jae; Pinkse, Joris; Haiqing Xu - In: The econometrics journal 19 (2016) 2, pp. 113-149

Persistent link: https://www.econbiz.de/10011712170

Testing under weak identification with conditional moment restrictions

Jun, Sung Jae; Pinkse, Joris - In: Econometric theory 28 (2012) 6, pp. 1229-1282

Persistent link: https://www.econbiz.de/10009743174

Adding regressors to obtain efficiency

Jun, Sung Jae; Pinkse, Joris - In: Econometric theory 25 (2009) 1, pp. 298-301

Persistent link: https://www.econbiz.de/10003816237

Efficient semiparametric seemingly unrelated quantile regression estimation

Jun, Sung Jae; Pinkse, Joris - In: Econometric theory 25 (2009) 5, pp. 1392-1414

Persistent link: https://www.econbiz.de/10003885777

Classical Laplace estimation for 3√image-consistent estimators : improved convergence rates and rate-adaptive inference

Jun, Sung Jae; Pinkse, Joris; Wan, Yuanyuan - In: Journal of econometrics 187 (2015) 1, pp. 201-216

Persistent link: https://www.econbiz.de/10011498875

An information-theoretic approach to partially identified auction models

Jun, Sung Jae; Pinkse, Joris - In: Journal of econometrics 238 (2024) 2, pp. 1-39

Persistent link: https://www.econbiz.de/10015073888

Local structural quantile effects in a model with a nonseparable control variable

Jun, Sung Jae - In: Journal of econometrics 151 (2009) 1, pp. 82-97

Persistent link: https://www.econbiz.de/10003855086

Quantile models and weak identification

Jun, Sung Jae - 2006

Persistent link: https://www.econbiz.de/10003972273

Treatment effects with unobserved heterogeneity : a set identification approach

Jun, Sung Jae; Lee, Yoonseok; Shin, Youngki - In: Journal of business & economic statistics : JBES ; a … 34 (2016) 2, pp. 302-311

Persistent link: https://www.econbiz.de/10011691357

Causal inference in case-control studies

Jun, Sung Jae; Lee, Sokbae - 2020

We investigate identiﬁcation of causal parameters in case-control and related studies. The odds ratio in the sample is our main estimand of interest and we articulate its relationship with causal parameters under various scenarios. It turns out that the odds ratio is generally a sharp upper...

Persistent link: https://www.econbiz.de/10012216988