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
Jump to: Working papers Articles ChaptersWorking papers
- Hongqi Chen & Ji Hyung Lee, 2024. "Predictive Quantile Regression with High-Dimensional Predictors: The Variable Screening Approach," Papers 2410.15097, arXiv.org.
- Zhan Gao & Ji Hyung Lee & Ziwei Mei & Zhentao Shi, 2024. "On LASSO Inference for High Dimensional Predictive Regression," Papers 2409.10030, arXiv.org.
- 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.
- 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.
- 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).
- 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.
- 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.
- 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).
- Ji Hyung Lee & Youngki Shin, 2020.
"Complete Subset Averaging for Quantile Regressions,"
Papers
2003.03299, arXiv.org, revised Jul 2021.
- Lee, Ji Hyung & Shin, Youngki, 2023. "Complete Subset Averaging For Quantile Regressions," Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Department of Economics Working Papers 2020-03, McMaster University.
- Ji Hyung Lee & Oliver Linton & YOON-JAE WHANG, 2018.
"Quantilograms under Strong Dependence,"
Working Paper Series
no111, Institute of Economic Research, Seoul National University.
- 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.
- Lee, L. & Linton, O. & Whang, Y-J., 0000. "Quantilograms under Strong Dependence," Cambridge Working Papers in Economics 1936, Faculty of Economics, University of Cambridge.
- Ji Hyung Lee & Zhentao Shi & Zhan Gao, 2018.
"On LASSO for Predictive Regression,"
Papers
1810.03140, arXiv.org, revised Feb 2021.
- Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022. "On LASSO for predictive regression," Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
- Lee, JiHyung, 2015.
"Predictive quantile regression with persistent covariates: IVX-QR approach,"
MPRA Paper
65150, University Library of Munich, Germany.
- Lee, Ji Hyung, 2016. "Predictive quantile regression with persistent covariates: IVX-QR approach," Journal of Econometrics, Elsevier, vol. 192(1), pages 105-118.
- 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
- 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.
- 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).
- 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.
- 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).
- 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.
- 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.
- Lee, Ji Hyung & Shin, Youngki, 2023.
"Complete Subset Averaging For Quantile Regressions,"
Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Department of Economics Working Papers 2020-03, McMaster University.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Papers 2003.03299, arXiv.org, revised Jul 2021.
- Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022.
"On LASSO for predictive regression,"
Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
- Ji Hyung Lee & Zhentao Shi & Zhan Gao, 2018. "On LASSO for Predictive Regression," Papers 1810.03140, arXiv.org, revised Feb 2021.
- 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.
- Ji Hyung Lee & Oliver Linton & YOON-JAE WHANG, 2018. "Quantilograms under Strong Dependence," Working Paper Series no111, Institute of Economic Research, Seoul National University.
- Lee, L. & Linton, O. & Whang, Y-J., 0000. "Quantilograms under Strong Dependence," Cambridge Working Papers in Economics 1936, Faculty of Economics, University of Cambridge.
- Fan, Rui & Lee, Ji Hyung, 2019. "Predictive quantile regressions under persistence and conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 213(1), pages 261-280.
- Lee, Ji Hyung, 2019. "Martingale decomposition and approximations for nonlinearly dependent processes," Statistics & Probability Letters, Elsevier, vol. 152(C), pages 35-42.
- 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.
- 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.
- 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.
- Lee, Ji Hyung, 2016.
"Predictive quantile regression with persistent covariates: IVX-QR approach,"
Journal of Econometrics, Elsevier, vol. 192(1), pages 105-118.
- Lee, JiHyung, 2015. "Predictive quantile regression with persistent covariates: IVX-QR approach," MPRA Paper 65150, University Library of Munich, Germany.
- 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.
- 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
- 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.
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- 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.
Cited by:
- Harmenberg, Karl, 2020.
"A Simple Theory of Pareto Earnings,"
Working Papers
21-2020, Copenhagen Business School, Department of Economics.
- Harmenberg, Karl, 2024. "A simple theory of Pareto-distributed earnings," Economics Letters, Elsevier, vol. 234(C).
- 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.
- 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).
- Harmenberg, Karl, 2020.
"A Simple Theory of Pareto Earnings,"
Working Papers
21-2020, Copenhagen Business School, Department of Economics.
- Ji Hyung Lee & Youngki Shin, 2020.
"Complete Subset Averaging for Quantile Regressions,"
Papers
2003.03299, arXiv.org, revised Jul 2021.
- Lee, Ji Hyung & Shin, Youngki, 2023. "Complete Subset Averaging For Quantile Regressions," Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Department of Economics Working Papers 2020-03, McMaster University.
Cited by:
- Cheng, Tingting & Jiang, Shan & Zhao, Albert Bo & Jia, Zhimin, 2023. "Complete subset averaging methods in corporate bond return prediction," Finance Research Letters, Elsevier, vol. 54(C).
- Victoria Stack & Lana L. Narine, 2022. "Sustainability at Auburn University: Assessing Rooftop Solar Energy Potential for Electricity Generation with Remote Sensing and GIS in a Southern US Campus," Sustainability, MDPI, vol. 14(2), pages 1-14, January.
- Islam, M.S. & Das, Barun K. & Das, Pronob & Rahaman, Md Habibur, 2021. "Techno-economic optimization of a zero emission energy system for a coastal community in Newfoundland, Canada," Energy, Elsevier, vol. 220(C).
- Ji Hyung Lee & Zhentao Shi & Zhan Gao, 2018.
"On LASSO for Predictive Regression,"
Papers
1810.03140, arXiv.org, revised Feb 2021.
- Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022. "On LASSO for predictive regression," Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
Cited by:
- Ziwei Mei & Zhentao Shi, 2022. "On LASSO for High Dimensional Predictive Regression," Papers 2212.07052, arXiv.org, revised Jan 2024.
- Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
- Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2020.
"Machine Learning Advances for Time Series Forecasting,"
Papers
2012.12802, arXiv.org, revised Apr 2021.
- Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2023. "Machine learning advances for time series forecasting," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 76-111, February.
- Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2023.
"Robust M-Estimation for Additive Single-Index Cointegrating Time Series Models,"
Monash Econometrics and Business Statistics Working Papers
2/23, Monash University, Department of Econometrics and Business Statistics.
- Chaohua Dong & Jiti Gao & Yundong Tu & Bin Peng, 2023. "Robust M-Estimation for Additive Single-Index Cointegrating Time Series Models," Papers 2301.06631, arXiv.org.
- 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).
- 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.
- Etienne Wijler, 2022. "A restricted eigenvalue condition for unit-root non-stationary data," Papers 2208.12990, arXiv.org.
- Zhou, Weilun & Gao, Jiti & Harris, David & Kew, Hsein, 2024. "Semi-parametric single-index predictive regression models with cointegrated regressors," Journal of Econometrics, Elsevier, vol. 238(1).
- Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2021. "Multiple-index Nonstationary Time Series Models: Robust Estimation Theory and Practice," Monash Econometrics and Business Statistics Working Papers 18/21, Monash University, Department of Econometrics and Business Statistics.
- Pitarakis, Jean-Yves, 2019. "Predictive Regressions," UC3M Working papers. Economics 28554, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Julien Hambuckers & Li Sun & Luca Trapin, 2023. "Measuring tail risk at high-frequency: An $L_1$-regularized extreme value regression approach with unit-root predictors," Papers 2301.01362, arXiv.org.
- Campeanu Emilia Mioara & Boitan Iustina Alina & Anghel Dan Gabriel, 2023. "Student engagement and academic performance in pandemic-driven online teaching: An exploratory and machine learning approach," Management & Marketing, Sciendo, vol. 18(s1), pages 315-339, December.
- Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2021. "Multiple-index Nonstationary Time Series Models: Robust Estimation Theory and Practice," Papers 2111.02023, arXiv.org.
- David Neto, 2023. "Penalized leads-and-lags cointegrating regression: a simulation study and two empirical applications," Empirical Economics, Springer, vol. 65(2), pages 949-971, August.
- Lee, JiHyung, 2015.
"Predictive quantile regression with persistent covariates: IVX-QR approach,"
MPRA Paper
65150, University Library of Munich, Germany.
- Lee, Ji Hyung, 2016. "Predictive quantile regression with persistent covariates: IVX-QR approach," Journal of Econometrics, Elsevier, vol. 192(1), pages 105-118.
Cited by:
- Christis Katsouris, 2023. "Unified Inference for Dynamic Quantile Predictive Regression," Papers 2309.14160, arXiv.org, revised Nov 2023.
- Yang, Bingduo & Long, Wei & Yang, Zihui, 2022. "Testing predictability of stock returns under possible bubbles," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 246-260.
- Wang, Cindy S.H. & Fan, Rui & Xie, Yiqiang, 2023. "Market systemic risk, predictability and macroeconomics news," Finance Research Letters, Elsevier, vol. 56(C).
- Zongwu Cai & Haiqiang Chen & Xiaosai Liao, 2020. "A New Robust Inference for Predictive Quantile Regression," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202002, University of Kansas, Department of Economics, revised Feb 2020.
- Christis Katsouris, 2023. "Quantile Time Series Regression Models Revisited," Papers 2308.06617, arXiv.org, revised Aug 2023.
- Sy, Oumar & Zaman, Ashraf Al, 2020. "Is the presidential premium spurious?," Journal of Empirical Finance, Elsevier, vol. 56(C), pages 94-104.
- Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo MM & Taylor, AM Robert, 2022.
"Extensions to IVX Methods of Inference for Return Predictability,"
Essex Finance Centre Working Papers
29779, University of Essex, Essex Business School.
- Paulo M.M. Rodrigues & Matei Demetrescu, 2021. "Extensions to IVX methods of inference for return predictability," Working Papers w202104, Banco de Portugal, Economics and Research Department.
- Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023. "Extensions to IVX methods of inference for return predictability," Journal of Econometrics, Elsevier, vol. 237(2).
- Christou Christina & Naraidoo Ruthira & Gupta Rangan, 2020.
"Conventional and unconventional monetary policy reaction to uncertainty in advanced economies: evidence from quantile regressions,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(3), pages 1-17, June.
- Christina Christou & Ruthira Naraidoo & Rangan Gupta, 2018. "Conventional and Unconventional Monetary Policy Reaction to Uncertainty in Advanced Economies: Evidence from Quantile Regressions," Working Papers 201839, University of Pretoria, Department of Economics.
- Christou Christina & Naraidoo Ruthira & Gupta Rangan, 2020. "Conventional and unconventional monetary policy reaction to uncertainty in advanced economies: evidence from quantile regressions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(3), pages 1-17, June.
- Lee, Ji Hyung & Shin, Youngki, 2023.
"Complete Subset Averaging For Quantile Regressions,"
Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Department of Economics Working Papers 2020-03, McMaster University.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Papers 2003.03299, arXiv.org, revised Jul 2021.
- Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2023.
"Robust M-Estimation for Additive Single-Index Cointegrating Time Series Models,"
Monash Econometrics and Business Statistics Working Papers
2/23, Monash University, Department of Econometrics and Business Statistics.
- Chaohua Dong & Jiti Gao & Yundong Tu & Bin Peng, 2023. "Robust M-Estimation for Additive Single-Index Cointegrating Time Series Models," Papers 2301.06631, arXiv.org.
- Demetrescu, Matei & Rodrigues, Paulo M.M., 2022.
"Residual-augmented IVX predictive regression,"
Journal of Econometrics, Elsevier, vol. 227(2), pages 429-460.
- Paulo M.M. Rodrigues & Matei Demetrescu, 2016. "Residual-augmented IVX predictive regression," Working Papers w201605, Banco de Portugal, Economics and Research Department.
- 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).
- 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.
- 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.
- Christina Christou & Rangan Gupta & Christis Hassapis & Tahir Suleman, 2018.
"The role of economic uncertainty in forecasting exchange rate returns and realized volatility: Evidence from quantile predictive regressions,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(7), pages 705-719, November.
- Christina Christou & Rangan Gupta & Christis Hassapis & Tahir Suleman, 2017. "The Role of Economic Uncertainty in Forecasting Exchange Rate Returns and Realized Volatility: Evidence from Quantile Predictive Regressions," Working Papers 201774, University of Pretoria, Department of Economics.
- Yanbo Liu & Peter C.B. Phillips, 2021.
"Robust Inference with Stochastic Local Unit Root Regressors in Predictive Regressions,"
Cowles Foundation Discussion Papers
2305, Cowles Foundation for Research in Economics, Yale University.
- Liu, Yanbo & Phillips, Peter C.B., 2023. "Robust inference with stochastic local unit root regressors in predictive regressions," Journal of Econometrics, Elsevier, vol. 235(2), pages 563-591.
- Christis Katsouris, 2022. "Asymptotic Theory for Unit Root Moderate Deviations in Quantile Autoregressions and Predictive Regressions," Papers 2204.02073, arXiv.org, revised Aug 2023.
- Christis Katsouris, 2023. "Estimating Conditional Value-at-Risk with Nonstationary Quantile Predictive Regression Models," Papers 2311.08218, arXiv.org, revised Apr 2024.
- 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.
- Ji Hyung Lee & Oliver Linton & YOON-JAE WHANG, 2018. "Quantilograms under Strong Dependence," Working Paper Series no111, Institute of Economic Research, Seoul National University.
- Lee, L. & Linton, O. & Whang, Y-J., 0000. "Quantilograms under Strong Dependence," Cambridge Working Papers in Economics 1936, Faculty of Economics, University of Cambridge.
- Christina Christou & Ruthira Naraidoo & Rangan Gupta & Won Joong Kim, 2017.
"Monetary Policy Reaction Functions of the TICKs: A Quantile Regression Approach,"
Working Papers
201738, University of Pretoria, Department of Economics.
- Christina Christou & Ruthira Naraidoo & Rangan Gupta & Won Joong Kim, 2018. "Monetary Policy Reaction Functions of the TICKs: A Quantile Regression Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(15), pages 3552-3565, December.
- Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2021. "Multiple-index Nonstationary Time Series Models: Robust Estimation Theory and Practice," Monash Econometrics and Business Statistics Working Papers 18/21, Monash University, Department of Econometrics and Business Statistics.
- Jin Seo Cho & Tae-Hwan Kim & Yongcheol Shin, 2014.
"Quantile Cointegration in the Autoregressive Distributed-Lag Modelling Framework,"
Working papers
2014rwp-69, Yonsei University, Yonsei Economics Research Institute.
- Cho, Jin Seo & Kim, Tae-hwan & Shin, Yongcheol, 2015. "Quantile cointegration in the autoregressive distributed-lag modeling framework," Journal of Econometrics, Elsevier, vol. 188(1), pages 281-300.
- Yan, Cheng & Wang, Xichen, 2018. "The non-persistent relationship between foreign equity flows and emerging stock market returns across quantiles," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 38-54.
- Christis Katsouris, 2023. "Structural Break Detection in Quantile Predictive Regression Models with Persistent Covariates," Papers 2302.05193, arXiv.org.
- Xu, Ke-Li, 2021. "On the serial correlation in multi-horizon predictive quantile regression," Economics Letters, Elsevier, vol. 200(C).
- Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022.
"On LASSO for predictive regression,"
Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
- Ji Hyung Lee & Zhentao Shi & Zhan Gao, 2018. "On LASSO for Predictive Regression," Papers 1810.03140, arXiv.org, revised Feb 2021.
- Gungor, Sermin & Luger, Richard, 2020. "Small-sample tests for stock return predictability with possibly non-stationary regressors and GARCH-type effects," Journal of Econometrics, Elsevier, vol. 218(2), pages 750-770.
- Demetrescu, Matei & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023.
"Transformed regression-based long-horizon predictability tests,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Demetrescu, Matei & Rodrigues, Paulo MM & Taylor, AM Robert, 2022. "Transformed Regression-based Long-Horizon Predictability Tests," Essex Finance Centre Working Papers 30620, University of Essex, Essex Business School.
- Dooyeon Cho & Seunghwa Rho, 2024. "Reassessing growth vulnerability," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 225-234, January.
- Zongwu Cai & Seong Yeon Chang, 2018. "A New Test In A Predictive Regression with Structural Breaks," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201811, University of Kansas, Department of Economics, revised Dec 2018.
- Christis Katsouris, 2024. "Robust Estimation in Network Vector Autoregression with Nonstationary Regressors," Papers 2401.04050, arXiv.org.
- Julien Hambuckers & Li Sun & Luca Trapin, 2023. "Measuring tail risk at high-frequency: An $L_1$-regularized extreme value regression approach with unit-root predictors," Papers 2301.01362, arXiv.org.
- Cho, Dooyeon, 2021. "On the predictability of the distribution of excess returns in currency markets," International Journal of Forecasting, Elsevier, vol. 37(2), pages 511-530.
- Zhan Gao & Ji Hyung Lee & Ziwei Mei & Zhentao Shi, 2024. "On LASSO Inference for High Dimensional Predictive Regression," Papers 2409.10030, arXiv.org.
- Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2021. "Multiple-index Nonstationary Time Series Models: Robust Estimation Theory and Practice," Papers 2111.02023, arXiv.org.
- Peter C. B. Phillips, 2015. "Halbert White Jr. Memorial JFEC Lecture: Pitfalls and Possibilities in Predictive Regression†," Journal of Financial Econometrics, Oxford University Press, vol. 13(3), pages 521-555.
- Tu, Yundong & Liang, Han-Ying & Wang, Qiying, 2022. "Nonparametric inference for quantile cointegrations with stationary covariates," Journal of Econometrics, Elsevier, vol. 230(2), pages 453-482.
- Cai, Zongwu & Chen, Haiqiang & Liao, Xiaosai, 2023. "A new robust inference for predictive quantile regression," Journal of Econometrics, Elsevier, vol. 234(1), pages 227-250.
- Fan, Rui & Lee, Ji Hyung, 2019. "Predictive quantile regressions under persistence and conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 213(1), pages 261-280.
Articles
- 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.
Cited by:
- Henry, Marc & Méango, Romuald & Mourifié, Ismaël, 2024. "Role models and revealed gender-specific costs of STEM in an extended Roy model of major choice," Journal of Econometrics, Elsevier, vol. 238(2).
- Lee, Ji Hyung & Shin, Youngki, 2023.
"Complete Subset Averaging For Quantile Regressions,"
Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
See citations under working paper version above.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Department of Economics Working Papers 2020-03, McMaster University.
- Ji Hyung Lee & Youngki Shin, 2020. "Complete Subset Averaging for Quantile Regressions," Papers 2003.03299, arXiv.org, revised Jul 2021.
- Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022.
"On LASSO for predictive regression,"
Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
See citations under working paper version above.
- Ji Hyung Lee & Zhentao Shi & Zhan Gao, 2018. "On LASSO for Predictive Regression," Papers 1810.03140, arXiv.org, revised Feb 2021.
- Fan, Rui & Lee, Ji Hyung, 2019.
"Predictive quantile regressions under persistence and conditional heteroskedasticity,"
Journal of Econometrics, Elsevier, vol. 213(1), pages 261-280.
Cited by:
- Christis Katsouris, 2023. "Unified Inference for Dynamic Quantile Predictive Regression," Papers 2309.14160, arXiv.org, revised Nov 2023.
- Wang, Cindy S.H. & Fan, Rui & Xie, Yiqiang, 2023. "Market systemic risk, predictability and macroeconomics news," Finance Research Letters, Elsevier, vol. 56(C).
- Zongwu Cai & Haiqiang Chen & Xiaosai Liao, 2020. "A New Robust Inference for Predictive Quantile Regression," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202002, University of Kansas, Department of Economics, revised Feb 2020.
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Journal of Econometrics, Elsevier, vol. 192(2), pages 433-450.
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NBER Working Papers
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Journal of Econometrics, Elsevier, vol. 237(2).
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"Robust Inference with Stochastic Local Unit Root Regressors in Predictive Regressions,"
Cowles Foundation Discussion Papers
2305, Cowles Foundation for Research in Economics, Yale University.
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- Atsushi Inoue & Lutz Kilian, 2019. "The uniform validity of impulse response inference in autoregressions," Vanderbilt University Department of Economics Working Papers 19-00001, Vanderbilt University Department of Economics.
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Journal of Econometrics, Elsevier, vol. 192(1), pages 105-118.
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Journal of Econometrics, Elsevier, vol. 192(1), pages 105-118.
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"Residual-augmented IVX predictive regression,"
Journal of Econometrics, Elsevier, vol. 227(2), pages 429-460.
- Paulo M.M. Rodrigues & Matei Demetrescu, 2016. "Residual-augmented IVX predictive regression," Working Papers w201605, Banco de Portugal, Economics and Research Department.
- Bingduo Yang & Xiaohui Liu & Liang Peng & Zongwu Cai, 2018. "Unified Tests for a Dynamic Predictive Regression," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201808, University of Kansas, Department of Economics, revised Sep 2018.
- Maynard, Alex & Ren, Dongmeng, 2019. "The finite sample power of long-horizon predictive tests in models with financial bubbles," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 418-430.
- Aman Ullah & Yong Bao & Ru Zhang, 2014. "Moment Approximation for Unit Root Models with Nonnormal Errors," Working Papers 201401, University of California at Riverside, Department of Economics.
- Kaveh Salehzadeh Nobari, 2021. "Pair copula constructions of point-optimal sign-based tests for predictive linear and nonlinear regressions," Papers 2111.04919, arXiv.org.
- 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).
- 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.
- Erik Hjalmarsson & Tamas Kiss, 2022. "Long‐run predictability tests are even worse than you thought," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1334-1355, November.
- 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.
- Yanbo Liu & Peter C.B. Phillips, 2021.
"Robust Inference with Stochastic Local Unit Root Regressors in Predictive Regressions,"
Cowles Foundation Discussion Papers
2305, Cowles Foundation for Research in Economics, Yale University.
- Liu, Yanbo & Phillips, Peter C.B., 2023. "Robust inference with stochastic local unit root regressors in predictive regressions," Journal of Econometrics, Elsevier, vol. 235(2), pages 563-591.
- José Luis Montiel Olea & Mikkel Plagborg‐Møller, 2021. "Local Projection Inference Is Simpler and More Robust Than You Think," Econometrica, Econometric Society, vol. 89(4), pages 1789-1823, July.
- Narayan, Seema & Smyth, Russell, 2015.
"The financial econometrics of price discovery and predictability,"
International Review of Financial Analysis, Elsevier, vol. 42(C), pages 380-393.
- Seema Narayan & Russell Smyth, 2015. "The Financial Econometrics of Price Discovery and Predictability," Monash Economics Working Papers 06-15, Monash University, Department of Economics.
- Andreou, Elena & Kasparis, Ioannis & Phillips, Peter C. B., 2013.
"Nonparametric Predictive Regression,"
CEPR Discussion Papers
9570, C.E.P.R. Discussion Papers.
- Ioannis Kasparis & Elena Andreou & Peter C.B. Phillips, 2012. "Nonparametric Predictive Regression," Cowles Foundation Discussion Papers 1878, Cowles Foundation for Research in Economics, Yale University.
- Ioannis Kasparis & Elena Andreou & Peter C. B. Phillips, 2012. "Nonparametric Predictive Regression," University of Cyprus Working Papers in Economics 14-2012, University of Cyprus Department of Economics.
- Kasparis, Ioannis & Andreou, Elena & Phillips, Peter C.B., 2015. "Nonparametric predictive regression," Journal of Econometrics, Elsevier, vol. 185(2), pages 468-494.
- Christis Katsouris, 2023. "Structural Break Detection in Quantile Predictive Regression Models with Persistent Covariates," Papers 2302.05193, arXiv.org.
- Yijie Fei & Yiu Lim Lui & Jun Yu, 2024. "Testing Predictability in the Presence of Persistent Errors," Working Papers 202401, University of Macau, Faculty of Business Administration.
- Haiqiang Chen, "undated".
"Robust Estimation and Inference for Threshold Models with Integrated Regressors,"
Working Papers
2013-12-02, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
- Chen, Haiqiang, 2015. "Robust Estimation And Inference For Threshold Models With Integrated Regressors," Econometric Theory, Cambridge University Press, vol. 31(4), pages 778-810, August.
- Chen, Haiqiang, 2013. "Robust estimation and inference for threshold models with integrated regressors," SFB 649 Discussion Papers 2013-034, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022.
"On LASSO for predictive regression,"
Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
- Ji Hyung Lee & Zhentao Shi & Zhan Gao, 2018. "On LASSO for Predictive Regression," Papers 1810.03140, arXiv.org, revised Feb 2021.
- Demetrescu, Matei & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023.
"Transformed regression-based long-horizon predictability tests,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Demetrescu, Matei & Rodrigues, Paulo MM & Taylor, AM Robert, 2022. "Transformed Regression-based Long-Horizon Predictability Tests," Essex Finance Centre Working Papers 30620, University of Essex, Essex Business School.
- Torben G. Andersen & Rasmus T. Varneskov, 2018. "Consistent Inference for Predictive Regressions in Persistent VAR Economies," CREATES Research Papers 2018-09, Department of Economics and Business Economics, Aarhus University.
- Paulo M.M. Rodrigues & Matei Demetrescu, 2019.
"Testing for Episodic Predictability in Stock Returns,"
Working Papers
w201906, Banco de Portugal, Economics and Research Department.
- Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2022. "Testing for episodic predictability in stock returns," Journal of Econometrics, Elsevier, vol. 227(1), pages 85-113.
- Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo MM & Taylor, AM Robert, 2019. "Testing for Episodic Predictability in Stock Returns," Essex Finance Centre Working Papers 24137, University of Essex, Essex Business School.
- Jiti Gao & Bin Peng & Yayi Yan, 2021. "Parameter Stability Testing for Multivariate Dynamic Time-Varying Models," Monash Econometrics and Business Statistics Working Papers 11/21, Monash University, Department of Econometrics and Business Statistics.
- Zongwu Cai & Seong Yeon Chang, 2018. "A New Test In A Predictive Regression with Structural Breaks," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201811, University of Kansas, Department of Economics, revised Dec 2018.
- Mikihito Nishi, 2023. "Testing for Coefficient Randomness in Local-to-Unity Autoregressions," Papers 2301.04853, arXiv.org, revised Jan 2023.
- Jeong, Minsoo, 2022. "Modelling persistent stationary processes in continuous time," Economic Modelling, Elsevier, vol. 109(C).
- Christis Katsouris, 2024. "Robust Estimation in Network Vector Autoregression with Nonstationary Regressors," Papers 2401.04050, arXiv.org.
- Liu, Guannan & Yao, Shuang, 2020. "A robust test for predictability with unknown persistence," Economics Letters, Elsevier, vol. 189(C).
- Chevillon, Guillaume, 2017. "Robustness of Multistep Forecasts and Predictive Regressions at Intermediate and Long Horizons," ESSEC Working Papers WP1710, ESSEC Research Center, ESSEC Business School.
- Cai, Zongwu & Juhl, Ted & Yang, Bingduo, 2015. "Functional index coefficient models with variable selection," Journal of Econometrics, Elsevier, vol. 189(2), pages 272-284.
- Efthymios G. Pavlidis & Ivan Paya & David A. Peel, 2018. "Using Market Expectations to Test for Speculative Bubbles in the Crude Oil Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(5), pages 833-856, August.
- Julien Hambuckers & Li Sun & Luca Trapin, 2023. "Measuring tail risk at high-frequency: An $L_1$-regularized extreme value regression approach with unit-root predictors," Papers 2301.01362, arXiv.org.
- Cho, Dooyeon, 2021. "On the predictability of the distribution of excess returns in currency markets," International Journal of Forecasting, Elsevier, vol. 37(2), pages 511-530.
- J. Roderick McCrorie, 2021. "Moments in Pearson's Four-Step Uniform Random Walk Problem and Other Applications of Very Well-Poised Generalized Hypergeometric Series," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 244-281, November.
- Zhan Gao & Ji Hyung Lee & Ziwei Mei & Zhentao Shi, 2024. "On LASSO Inference for High Dimensional Predictive Regression," Papers 2409.10030, arXiv.org.
- Christis Katsouris, 2023. "Bootstrapping Nonstationary Autoregressive Processes with Predictive Regression Models," Papers 2307.14463, arXiv.org.
- Liu, Xiaohui & Yang, Bingduo & Cai, Zongwu & Peng, Liang, 2019. "A unified test for predictability of asset returns regardless of properties of predicting variables," Journal of Econometrics, Elsevier, vol. 208(1), pages 141-159.
- Dong, Chaohua & Linton, Oliver & Peng, Bin, 2021. "A weighted sieve estimator for nonparametric time series models with nonstationary variables," Journal of Econometrics, Elsevier, vol. 222(2), pages 909-932.
- Tu, Yundong & Liang, Han-Ying & Wang, Qiying, 2022. "Nonparametric inference for quantile cointegrations with stationary covariates," Journal of Econometrics, Elsevier, vol. 230(2), pages 453-482.
- Demetrescu, Matei, 2014. "Enhancing the local power of IVX-based tests in predictive regressions," Economics Letters, Elsevier, vol. 124(2), pages 269-273.
- Cai, Zongwu & Chen, Haiqiang & Liao, Xiaosai, 2023. "A new robust inference for predictive quantile regression," Journal of Econometrics, Elsevier, vol. 234(1), pages 227-250.
- Fan, Rui & Lee, Ji Hyung, 2019. "Predictive quantile regressions under persistence and conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 213(1), pages 261-280.
- Yayi Yan & Jiti Gao & Bin Peng, 2021. "Asymptotics for Time-Varying Vector MA(∞) Processes," Monash Econometrics and Business Statistics Working Papers 22/21, Monash University, Department of Econometrics and Business Statistics.
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NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 10 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.- NEP-ECM: Econometrics (7) 2012-01-18 2015-06-27 2018-11-05 2020-03-16 2021-02-22 2022-05-16 2024-10-14. Author is listed
- NEP-ETS: Econometric Time Series (4) 2012-01-18 2018-11-05 2021-02-22 2024-10-14
- NEP-ORE: Operations Research (3) 2019-11-25 2020-03-16 2021-02-22
- NEP-PUB: Public Finance (2) 2021-05-31 2022-08-08
- NEP-FDG: Financial Development and Growth (1) 2022-08-08
- NEP-FOR: Forecasting (1) 2015-06-27
- NEP-PBE: Public Economics (1) 2021-05-31
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