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Dive into the research topics where Sung Jae Jun is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Finished
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Quantile models, endogeneity, identification, and semiparametric methodology
Pinkse, C. C. & Jun, S. J.
9/1/09 → 8/31/14
Project: Research project
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Average Adjusted Association: Efficient Estimation with High Dimensional Confounders
Jun, S. J. & Lee, S., 2023, In: Proceedings of Machine Learning Research. 206, p. 5980-5996 17 p.Research output: Contribution to journal › Conference article › peer-review
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Testing for risk aversion in first-price sealed-bid auctions
Jun, S. J. & Zincenko, F., Feb 2022, In: Journal of Econometrics. 226, 2, p. 295-320 26 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Counterfactual prediction in complete information games: Point prediction under partial identification
Jun, S. J. & Pinkse, J., Jun 2020, In: Journal of Econometrics. 216, 2, p. 394-429 36 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
INTEGRATED SCORE ESTIMATION
Jun, S. J., Pinkse, J. & Wan, Y., Dec 1 2017, In: Econometric Theory. 33, 6, p. 1418-1456 39 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Estimating a nonparametric triangular model with binary endogenous regressors
Jun, S. J., Pinkse, J. & Xu, H., Jun 1 2016, In: Econometrics Journal. 19, 2, p. 113-149 37 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations