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Ji Hyung Lee

Personal Details

First Name:Ji Hyung
Middle Name:
Last Name:Lee
Suffix:
RePEc Short-ID:ple807
[This author has chosen not to make the email address public]
http://sites.google.com/site/jihyung412/home
Terminal Degree:2013 Economics Department; Yale University (from RePEc Genealogy)

Affiliation

Department of Economics
University of Illinois at Urbana-Champaign

Urbana-Champaign, Illinois (United States)
http://www.economics.illinois.edu/
RePEc:edi:deuiuus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Tobias Adrian & Hongqi Chen & Max-Sebastian Dov`i & Ji Hyung Lee, 2025. "Machine-learning Growth at Risk," Papers 2506.00572, arXiv.org.
  2. Taeyoung Doh & JiHyung Lee & Woong Yong Park, 2024. "Heterogeneity in Household Inflation Expectations: Policy Implications," Research Working Paper RWP 24-06, Federal Reserve Bank of Kansas City.
  3. Hongqi Chen & Ji Hyung Lee, 2024. "Predictive Quantile Regression with High-Dimensional Predictors: The Variable Screening Approach," Papers 2410.15097, arXiv.org.
  4. Zhan Gao & Ji Hyung Lee & Ziwei Mei & Zhentao Shi, 2024. "Econometric Inference for High Dimensional Predictive Regressions," Papers 2409.10030, arXiv.org, revised Nov 2024.
  5. Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2022. "Tuning Parameter-Free Nonparametric Density Estimation from Tabulated Summary Data," Papers 2204.05480, arXiv.org, revised May 2023.
  6. Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2022. "Capital and Labor Income Pareto Exponents in the United States, 1916-2019," Papers 2206.04257, arXiv.org.
  7. Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2021. "Fixed-k Tail Regression: New Evidence on Tax and Wealth Inequality from Forbes 400," Papers 2105.10007, arXiv.org, revised Sep 2022.
  8. Rui Fan & Ji Hyung Lee & Youngki Shin, 2021. "Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach," Papers 2101.11568, arXiv.org, revised Dec 2022.
  9. Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Papers 2003.03299, arXiv.org, revised Jul 2021.
  10. Ji Hyung Lee & Oliver Linton & YOON-JAE WHANG, 2018. "Quantilograms under Strong Dependence," Working Paper Series no111, Institute of Economic Research, Seoul National University.
  11. Ji Hyung Lee & Zhentao Shi & Zhan Gao, 2018. "On LASSO for Predictive Regression," Papers 1810.03140, arXiv.org, revised Feb 2021.
  12. Lee, JiHyung, 2015. "Predictive quantile regression with persistent covariates: IVX-QR approach," MPRA Paper 65150, University Library of Munich, Germany.
  13. Peter C.B. Phillips & Ji Hyung Lee, 2012. "VARs with Mixed Roots Near Unity," Cowles Foundation Discussion Papers 1845, Cowles Foundation for Research in Economics, Yale University.

Articles

  1. Taeyoung Doh & Ji Hyung Lee & Woong Yong Park, 2025. "Heterogeneity in Household Inflation Expectations and Monetary Policy," Journal of Financial Econometrics, Oxford University Press, vol. 23(1), pages 1263-1289.
  2. Heejoon Han & Whayoung Jung & Ji Hyung Lee, 2024. "Estimation and Inference of Quantile Impulse Response Functions by Local Projections: With Applications to VaR Dynamics," Journal of Financial Econometrics, Oxford University Press, vol. 22(1), pages 1-29.
  3. Lee, Ji Hyung & Sasaki, Yuya & Toda, Alexis Akira & Wang, Yulong, 2024. "Tuning parameter-free nonparametric density estimation from tabulated summary data," Journal of Econometrics, Elsevier, vol. 238(1).
  4. Fan, Rui & Lee, Ji Hyung & Shin, Youngki, 2023. "Predictive quantile regression with mixed roots and increasing dimensions: The ALQR approach," Journal of Econometrics, Elsevier, vol. 237(2).
  5. Lee, Ji Hyung & Park, Byoung G., 2023. "Nonparametric identification and estimation of the extended Roy model," Journal of Econometrics, Elsevier, vol. 235(2), pages 1087-1113.
  6. Lee, Ji Hyung & Shin, Youngki, 2023. "Complete Subset Averaging For Quantile Regressions," Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
  7. Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022. "On LASSO for predictive regression," Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
  8. Lee, Ji Hyung & Linton, Oliver & Whang, Yoon-Jae, 2020. "Quantilograms Under Strong Dependence," Econometric Theory, Cambridge University Press, vol. 36(3), pages 457-487, June.
  9. Fan, Rui & Lee, Ji Hyung, 2019. "Predictive quantile regressions under persistence and conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 213(1), pages 261-280.
  10. Lee, Ji Hyung, 2019. "Martingale decomposition and approximations for nonlinearly dependent processes," Statistics & Probability Letters, Elsevier, vol. 152(C), pages 35-42.
  11. Lee, Ji Hyung & Liao, Zhipeng, 2018. "On Standard Inference For Gmm With Local Identification Failure Of Known Forms," Econometric Theory, Cambridge University Press, vol. 34(4), pages 790-814, August.
  12. Phillips, Peter C.B. & Lee, Ji Hyung, 2016. "Robust econometric inference with mixed integrated and mildly explosive regressors," Journal of Econometrics, Elsevier, vol. 192(2), pages 433-450.
  13. Lee, Ji Hyung, 2016. "Predictive quantile regression with persistent covariates: IVX-QR approach," Journal of Econometrics, Elsevier, vol. 192(1), pages 105-118.
  14. Lee, Ji Hyung & Phillips, Peter C.B., 2016. "Asset pricing with financial bubble risk," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 590-622.
  15. Peter C. B. Phillips & Ji Hyung Lee, 2015. "Limit Theory for VARs with Mixed Roots Near Unity," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1035-1056, December.
  16. Phillips, Peter C.B. & Lee, Ji Hyung, 2013. "Predictive regression under various degrees of persistence and robust long-horizon regression," Journal of Econometrics, Elsevier, vol. 177(2), pages 250-264.

Chapters

  1. Whayoung Jung & Ji Hyung Lee, 2023. "Quantile Impulse Response Analysis with Applications in Macroeconomics and Finance," Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications, volume 45, pages 99-131, Emerald Group Publishing Limited.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 13 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (9) 2012-01-18 2015-06-27 2018-11-05 2020-03-16 2021-02-22 2022-05-16 2024-10-14 2024-11-25 2025-06-16. Author is listed
  2. NEP-ETS: Econometric Time Series (5) 2012-01-18 2018-11-05 2021-02-22 2024-10-14 2025-06-16. Author is listed
  3. NEP-ORE: Operations Research (3) 2019-11-25 2020-03-16 2021-02-22
  4. NEP-FDG: Financial Development and Growth (2) 2022-08-08 2025-06-16
  5. NEP-FOR: Forecasting (2) 2015-06-27 2025-06-16
  6. NEP-PUB: Public Finance (2) 2021-05-31 2022-08-08
  7. NEP-CBA: Central Banking (1) 2024-08-19
  8. NEP-IPR: Intellectual Property Rights (1) 2024-10-14
  9. NEP-MON: Monetary Economics (1) 2024-08-19
  10. NEP-PBE: Public Economics (1) 2021-05-31
  11. NEP-RMG: Risk Management (1) 2025-06-16

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