Eun Yi Chung - Illinois Experts
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Eun Yi Chung- Associate Professor, Economics
- DEI and Climate Officer, Economics
- Emaileunyiillinoisedu
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- Research & Scholarship (7)
- Similar Profiles (6)
Fingerprint
Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.- 6 Similar Profiles
- Permutation Test Keyphrases 100%
- Heterogeneous Treatment Effects Keyphrases 33%
- Asymptotics Mathematics 32%
- Nuisance Parameter Keyphrases 25%
- Two-sample Keyphrases 24%
- Finite Sample Keyphrases 22%
- Treatment Effect Keyphrases 21%
- Nonparametric Keyphrases 16%
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or Select a country/territory from the list Dive into detailsSelect a country/territory to view shared publications and projects
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- 7 Article
Research output per year
Research output per year
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Quantile-Based Test for Heterogeneous Treatment Effects
Chung, E. Y. & Olivares, M., 2024, (Accepted/In press) In: Journal of Applied Econometrics.Research output: Contribution to journal › Article › peer-review
Open Access- Heterogeneous Treatment Effects 100%
- Permutation Test 100%
- Quantile Function 100%
- Quantile 100%
- Causality Analysis 100%
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Permutation Tests at Nonparametric Rates
Bertanha, M. & Chung, E., 2023, In: Journal of the American Statistical Association. 118, 544, p. 2833-2846 14 p.Research output: Contribution to journal › Article › peer-review
Open Access- Finite Sample 100%
- Nonparametric 100%
- Permutation Test 100%
- Two-sample 66%
- Asymptotics 66%
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Permutation test for heterogeneous treatment effects with a nuisance parameter
Chung, E. Y. & Olivares, M., Dec 2021, In: Journal of Econometrics. 225, 2, p. 148-174 27 p.Research output: Contribution to journal › Article › peer-review
- Heterogeneous Treatment Effects 100%
- Permutation Test 100%
- Nuisance Parameter 100%
- Treatment Effect 100%
- Statistics 57%
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Randomization-based tests for "no treatment effects"
Chung, E. Y., 2017, In: Statistical Science. 32, 3, p. 349-351 3 p.Research output: Contribution to journal › Article › peer-review
Open Access- Treatment Effect 100%
- Causality Analysis 100%
- Underlying Assumptions 50%
- Fisher 50%
- Causal Effect 50%
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Asymptotically valid and exact permutation tests based on two-sample U-statistics
Chung, E. Y. & Romano, J. P., 2016, In: Journal of Statistical Planning and Inference. 168, p. 97-105 9 p.Research output: Contribution to journal › Article › peer-review
- Permutation Test 100%
- Wilcoxon Test 100%
- Two-sample U-statistics 100%
- Rank Sum Test 100%
- U-Statistics 100%
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