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Sukjin Han
Sukjin Han
Professor of Economics, University of Bristol
Bestätigte E-Mail-Adresse bei bristol.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Identification in a Generalization of Bivariate Probit Models with Dummy Endogenous Regressors
S Han, EJ Vytlacil
Journal of Econometrics 199, 63-73, 2017
1212017
Identification in nonparametric models for dynamic treatment effects
S Han
Journal of Econometrics 225 (2), 132-147, 2021
512021
Estimation in a generalization of bivariate probit models with dummy endogenous regressors
S Han, S Lee
Journal of Applied Econometrics 34 (6), 994-1015, 2019
462019
Estimation and inference with a (nearly) singular Jacobian
S Han, A McCloskey
Quantitative Economics 10 (3), 1019-1068, 2019
452019
Invalidity of the bootstrap and the m out of n bootstrap for confidence interval endpoints defined by moment inequalities
DWK Andrews, S Han
The Econometrics Journal 12 (suppl_1), S172-S199, 2009
392009
Censored quantile instrumental-variable estimation with Stata
V Chernozhukov, I Fernández-Val, S Han, A Kowalski
The Stata Journal 19 (4), 768-781, 2019
38*2019
Optimal dynamic treatment regimes and partial welfare ordering
S Han
Journal of American Statistical Association, 2023
282023
How would information disclosure influence organizations’ outbound spam volume? Evidence from a field experiment
S He, GM Lee, S Han, AB Whinston
Journal of Cybersecurity 2 (1), 99-118, 2016
20*2016
Nonparametric estimation of triangular simultaneous equations models under weak identification
S Han
Quantitative Economics 11 (1), 161-202, 2020
19*2020
Multiple treatments with strategic substitutes
JF Balat, S Han
Journal of Econometrics 234 (2), 732-757, 2023
14*2023
A computational approach to identification of treatment effects for policy evaluation
S Han, S Yang
Journal of Econometrics 240 (1), 105680, 2024
10*2024
Comment: Individualized treatment rules under endogeneity
S Han
Journal of the American Statistical Association 116 (533), 192-195, 2021
102021
Shapes as product differentiation: Neural network embedding in the analysis of markets for fonts
S Han, EH Schulman, K Grauman, S Ramakrishnan
arXiv preprint arXiv:2107.02739, 2021
42021
Semiparametric Models for Dynamic Treatment Effects and Mediation Analyses with Observational Data
S Han, S Lee
22023
On Quantile Treatment Effects, Rank Similarity, and Variation of Instrumental Variables
S Han, H Xu
arXiv preprint arXiv:2311.15871, 2023
12023
Supplement to ‘Nonparametric estimation of triangular simultaneous equations models under weak identification’
S Han
Quantitative Economics Supplemental Material 11, 2020
12020
Supplement to ‘Estimation and inference with a (nearly) singular Jacobian’
S Han, A McCloskey
Quantitative Economics Supplemental Material 10, 2019
12019
Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments
V Chernozhukov, I Fernández-Val, S Han, K Wüthrich
arXiv preprint arXiv:2403.05850, 2024
2024
Set-Valued Control Functions
S Han, H Kaido
arXiv preprint arXiv:2403.00347, 2024
2024
Inference for Interval-Identified Parameters Selected from an Estimated Set
S Han, A McCloskey
arXiv preprint arXiv:2403.00422, 2024
2024
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