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Yoonseok Lee

Personal Details

First Name:Yoonseok
Middle Name:
Last Name:Lee
Suffix:
RePEc Short-ID:ple293
[This author has chosen not to make the email address public]
https://ylee41.expressions.syr.edu/
Center for Policy Research Syracuse University 426 Eggers Hall Syracuse, NY 13244-1020
Terminal Degree:2006 Economics Department; Yale University (from RePEc Genealogy)

Affiliation

(1%) Center for Policy Research
Maxwell School
Syracuse University

Syracuse, New York (United States)
http://www.maxwell.syr.edu/cpr.aspx
RePEc:edi:cpsyrus (more details at EDIRC)

(99%) Department of Economics
Maxwell School
Syracuse University

Syracuse, New York (United States)
http://www.maxwell.syr.edu/econ/
RePEc:edi:desyrus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. William C. Horrace & Hyunseok Jung & Yoonseok Lee, 2022. "LASSO for Stochastic Frontier Models with Many Efficient Firms," Center for Policy Research Working Papers 248, Center for Policy Research, Maxwell School, Syracuse University.
  2. Yoonseok Lee & Donggyu Sul, 2021. "Trimmed Mean Group Estimation," Center for Policy Research Working Papers 237, Center for Policy Research, Maxwell School, Syracuse University.
  3. Yoonseok Lee & Donggyu Sul, 2021. "Depth-Weighted Forecast Combination: Application to COVID-19 Cases," Center for Policy Research Working Papers 238, Center for Policy Research, Maxwell School, Syracuse University.
  4. Yoonseok Lee & Mary E. Lovely & Hoang Pham, 2021. "Dynamic and Non-Neutral Productivity Effects of Foreign Ownership: A Nonparametric Approach," Center for Policy Research Working Papers 236, Center for Policy Research, Maxwell School, Syracuse University.
  5. Yoonseok Lee & Yulong Wang, 2020. "Nonparametric Sample Splitting," Center for Policy Research Working Papers 222, Center for Policy Research, Maxwell School, Syracuse University.
  6. Yoonseok Lee & Yulong Wang, 2020. "Inference in Threshold Models," Center for Policy Research Working Papers 223, Center for Policy Research, Maxwell School, Syracuse University.
  7. Yoonseok Lee & Yulong Wang, 2019. "Threshold Regression with Nonparametric Sample Splitting," Papers 1905.13140, arXiv.org, revised Jan 2021.
  8. Aman Ullah & Yoonseok Lee & Debasri Mukherjee, 2018. "Nonparametric Estimation of the Marginal Effect in Fixed-Effect Panel Data Models," Working Papers 201901, University of California at Riverside, Department of Economics.
  9. Yoonseok Lee & Yu Zhou, 2015. "Averaged Instrumental Variables Estimators," Center for Policy Research Working Papers 180, Center for Policy Research, Maxwell School, Syracuse University.
  10. Andrey Stoyanov & Nikolay Zubanov & Yoonseok Lee, 2015. "A production function estimator with proxy variables and firm fixed effects," Working Papers 2015_2, York University, Department of Economics.
  11. Yoonseok Lee & Mehmet Caner & Xu Han, 2015. "Adaptive Elastic Net GMM Estimation with Many Invalid Moment Conditions: Simultaneous Model and Moment Selection," Center for Policy Research Working Papers 177, Center for Policy Research, Maxwell School, Syracuse University.
  12. Yoonseok Lee & Sung Jae Jun & Youngki Shin, 2014. "Treatment Effects with Unobserved Heterogeneity: A Set Identification Approach," Center for Policy Research Working Papers 169, Center for Policy Research, Maxwell School, Syracuse University.
  13. Yoonseok Lee & Peter C.B. Phillips, 2013. "Model Selection in the Presence of Incidental Parameters," Cowles Foundation Discussion Papers 1919, Cowles Foundation for Research in Economics, Yale University.
  14. Yoonseok Lee & Donggyun Shin, 2013. "Measuring Social Unrest Based on Income Distribution," Center for Policy Research Working Papers 160, Center for Policy Research, Maxwell School, Syracuse University.
  15. Yoonseok Lee & Ryo Okui, 2009. "A Specification Test for Instrumental Variables Regression with Many Instruments," Cowles Foundation Discussion Papers 1741, Cowles Foundation for Research in Economics, Yale University.
  16. Carruthers, Bruce G. & Guinnane, Timothy W. & Lee, Yoonseok, 2009. "Bringing "Honest Capital" to Poor Borrowers: The Passage of the Uniform Small Loan Law, 1907-1930," Center Discussion Papers 50949, Yale University, Economic Growth Center.

Articles

  1. Jun Cai & William C. Horrace & Yoonseok Lee, 2024. "Identification and estimation of panel semiparametric conditional heteroskedastic frontiers with dynamic inefficiency," Econometric Reviews, Taylor & Francis Journals, vol. 43(5), pages 238-268, May.
  2. Lee, Yoonseok & Wang, Yulong, 2024. "Testing For Homogeneous Thresholds In Threshold Regression Models," Econometric Theory, Cambridge University Press, vol. 40(3), pages 608-651, June.
  3. Lee, Yoonseok & Wang, Yulong, 2023. "Threshold regression with nonparametric sample splitting," Journal of Econometrics, Elsevier, vol. 235(2), pages 816-842.
  4. Yoonseok Lee & Mary E. Lovely & Hoang Pham, 2023. "Dynamic and non‐neutral productivity effects of foreign ownership: A nonparametric approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 24-48, January.
  5. William C. Horrace & Hyunseok Jung & Yoonseok Lee, 2023. "LASSO for Stochastic Frontier Models with Many Efficient Firms," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1132-1142, October.
  6. Lee, Yoonseok & Sul, Donggyu, 2023. "Depth-weighted means of noisy data: An application to estimating the average effect in heterogeneous panels," Journal of Multivariate Analysis, Elsevier, vol. 196(C).
  7. Lee, Yoonseok & Mukherjee, Debasri & Ullah, Aman, 2019. "Nonparametric estimation of the marginal effect in fixed-effect panel data models," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 53-67.
  8. Yoonseok Lee & Andrey Stoyanov & Nikolay Zubanov, 2019. "Olley and Pakes‐style Production Function Estimators with Firm Fixed Effects," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(1), pages 79-97, February.
  9. Mehmet Caner & Xu Han & Yoonseok Lee, 2018. "Adaptive Elastic Net GMM Estimation With Many Invalid Moment Conditions: Simultaneous Model and Moment Selection," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 24-46, January.
  10. Sung Jae Jun & Yoonseok Lee & Youngki Shin, 2016. "Treatment Effects With Unobserved Heterogeneity: A Set Identification Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 302-311, April.
  11. Yoonseok Lee & Donggyun Shin, 2016. "Measuring Social Tension from Income Class Segregation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 457-471, July.
  12. Lee, Yoonseok & Phillips, Peter C.B., 2015. "Model selection in the presence of incidental parameters," Journal of Econometrics, Elsevier, vol. 188(2), pages 474-489.
  13. Lee, Yoonseok, 2014. "Nonparametric Estimation Of Dynamic Panel Models With Fixed Effects," Econometric Theory, Cambridge University Press, vol. 30(6), pages 1315-1347, December.
  14. Yoonseok Lee, Donggyun Shin, Kwanho Shin, 2013. "Social Consequences of Economic Segregation," Korean Economic Review, Korean Economic Association, vol. 29, pages 189-210.
  15. Yoonseok Lee & Donggyun Shin, 2012. "Mobility-Based Explanation of Crime Incentives," Korean Economic Review, Korean Economic Association, vol. 28, pages 51-67.
  16. Lee, Yoonseok, 2012. "Bias in dynamic panel models under time series misspecification," Journal of Econometrics, Elsevier, vol. 169(1), pages 54-60.
  17. Lee, Yoonseok & Okui, Ryo, 2012. "Hahn–Hausman test as a specification test," Journal of Econometrics, Elsevier, vol. 167(1), pages 133-139.

Chapters

  1. Yoonseok Lee & Donggyu Sul, 2023. "Depth-weighted Forecast Combination: Application to COVID-19 Cases," Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications, volume 45, pages 235-260, Emerald Group Publishing Limited.
  2. Yoonseok Lee & Donggyu Sul, 2022. "Trimmed Mean Group Estimation," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Panel Modeling, Micro Applications, and Econometric Methodology, volume 43, pages 177-202, 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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Lee, Yoonseok, 2012. "Bias in dynamic panel models under time series misspecification," Journal of Econometrics, Elsevier, vol. 169(1), pages 54-60.

    Mentioned in:

    1. Sam Watson’s journal round-up for 9th July 2018
      by Sam Watson in The Academic Health Economists' Blog on 2018-07-09 11:00:47

Working papers

  1. William C. Horrace & Hyunseok Jung & Yoonseok Lee, 2022. "LASSO for Stochastic Frontier Models with Many Efficient Firms," Center for Policy Research Working Papers 248, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. William C. Horrace & Hyunseok Jung & Yi Yang, 2022. "The Conditional Mode in Parametric Frontier Models," Center for Policy Research Working Papers 249, Center for Policy Research, Maxwell School, Syracuse University.

  2. Yoonseok Lee & Donggyu Sul, 2021. "Trimmed Mean Group Estimation," Center for Policy Research Working Papers 237, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Lee, Yoonseok & Sul, Donggyu, 2023. "Depth-weighted means of noisy data: An application to estimating the average effect in heterogeneous panels," Journal of Multivariate Analysis, Elsevier, vol. 196(C).

  3. Yoonseok Lee & Mary E. Lovely & Hoang Pham, 2021. "Dynamic and Non-Neutral Productivity Effects of Foreign Ownership: A Nonparametric Approach," Center for Policy Research Working Papers 236, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Pham, Hoang, 2023. "Trade reform, oligopsony, and labor market distortion: Theory and evidence," Journal of International Economics, Elsevier, vol. 144(C).

  4. Yoonseok Lee & Yulong Wang, 2020. "Nonparametric Sample Splitting," Center for Policy Research Working Papers 222, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Yoonseok Lee & Yulong Wang, 2020. "Inference in Threshold Models," Center for Policy Research Working Papers 223, Center for Policy Research, Maxwell School, Syracuse University.

  5. Yoonseok Lee & Yulong Wang, 2020. "Inference in Threshold Models," Center for Policy Research Working Papers 223, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2018. "Inference on winners," CeMMAP working papers CWP31/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2019. "Inference after estimation of breaks," CeMMAP working papers CWP51/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  6. Yoonseok Lee & Yulong Wang, 2019. "Threshold Regression with Nonparametric Sample Splitting," Papers 1905.13140, arXiv.org, revised Jan 2021.

    Cited by:

    1. Yoonseok Lee & Yulong Wang, 2020. "Inference in Threshold Models," Center for Policy Research Working Papers 223, Center for Policy Research, Maxwell School, Syracuse University.
    2. Seo, Myung Hwan & Koo, Bonsoo & Yang, Yangzhuoran Fin, 2024. "Nonlinear dynamics of Kimchi premium," Economic Modelling, Elsevier, vol. 135(C).

  7. Aman Ullah & Yoonseok Lee & Debasri Mukherjee, 2018. "Nonparametric Estimation of the Marginal Effect in Fixed-Effect Panel Data Models," Working Papers 201901, University of California at Riverside, Department of Economics.

    Cited by:

    1. Yoonseok Lee & Donggyu Sul, 2022. "Trimmed Mean Group Estimation," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Panel Modeling, Micro Applications, and Econometric Methodology, volume 43, pages 177-202, Emerald Group Publishing Limited.
    2. Christopher F. Parmeter & Jeffrey S. Racine, 2018. "Nonparametric Estimation and Inference for Panel Data Models," Department of Economics Working Papers 2018-02, McMaster University.
    3. Aman Ullah & Tao Wang & Weixin Yao, 2021. "Modal regression for fixed effects panel data," Empirical Economics, Springer, vol. 60(1), pages 261-308, January.
    4. van den Berg, G. J & Lundborg P & Nystedt P & Rooth D, 2009. "Critical Periods During Childhood and Adolescence: A Study of Adult Height Among Immigrant Siblings," Health, Econometrics and Data Group (HEDG) Working Papers 09/20, HEDG, c/o Department of Economics, University of York.
    5. Huijun Ji & Arber Hoti, 2022. "Green economy based perspective of low-carbon agriculture growth for total factor energy efficiency improvement," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 353-363, March.
    6. Qian, Junhui & Wang, Le, 2009. "Estimating Semiparametric Panel Data Models by Marginal Integration," MPRA Paper 18850, University Library of Munich, Germany.
    7. Almeida, Alexandre N. & Santos, Augusto S. & Halmenschlager, Vinícius & Gilio, Leandro & Diniz, Tiago B. & Ferreira, Alexandre A. S., 2016. "Flexible-fuel automobiles and CO2 emissions in Brazil: a semiparametric analysis using panel data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235733, Agricultural and Applied Economics Association.
    8. Tomasz Czekaj & Arne Henningsen, 2013. "Panel Data Specifications in Nonparametric Kernel Regression: An Application to Production Functions," IFRO Working Paper 2013/5, University of Copenhagen, Department of Food and Resource Economics.
    9. De Monte Enrico, 2024. "Nonparametric Instrumental Regression with Two-Way Fixed Effects," Journal of Econometric Methods, De Gruyter, vol. 13(1), pages 49-66, January.
    10. Kota Ogasawara & Yukitoshi Matsushita, 2019. "Heterogeneous treatment effects of safe water on infectious disease: Do meteorological factors matter?," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 13(1), pages 55-82, January.
    11. Lee, Yoonseok & Sul, Donggyu, 2023. "Depth-weighted means of noisy data: An application to estimating the average effect in heterogeneous panels," Journal of Multivariate Analysis, Elsevier, vol. 196(C).

  8. Yoonseok Lee & Yu Zhou, 2015. "Averaged Instrumental Variables Estimators," Center for Policy Research Working Papers 180, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.

  9. Yoonseok Lee & Mehmet Caner & Xu Han, 2015. "Adaptive Elastic Net GMM Estimation with Many Invalid Moment Conditions: Simultaneous Model and Moment Selection," Center for Policy Research Working Papers 177, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Caner, Mehmet & Fan, Qingliang & Grennes, Thomas, 2021. "Partners in debt: An endogenous non-linear analysis of the effects of public and private debt on growth," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 694-711.
    2. Nicolas Apfel, 2019. "Relaxing the Exclusion Restriction in Shift-Share Instrumental Variable Estimation," Papers 1907.00222, arXiv.org, revised Jul 2022.
    3. Aureo de Paula & Imran Rasul & Pedro Souza, 2019. "Identifying Network Ties from Panel Data: Theory and an Application to Tax Competition," Papers 1910.07452, arXiv.org, revised Oct 2023.
    4. Marco Battaglini & Forrest W. Crawford & Eleonora Patacchini & Sida Peng, 2020. "A Graphical Lasso Approach to Estimating Network Connections: The Case of U.S. Lawmakers," NBER Working Papers 27557, National Bureau of Economic Research, Inc.
    5. Qingliang Fan & Zijian Guo & Ziwei Mei, 2022. "A Heteroskedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates," Papers 2205.00171, arXiv.org, revised May 2024.
    6. DiTraglia, Francis J., 2016. "Using invalid instruments on purpose: Focused moment selection and averaging for GMM," Journal of Econometrics, Elsevier, vol. 195(2), pages 187-208.
    7. Belloni, Alexandre & Hansen, Christian & Newey, Whitney, 2022. "High-dimensional linear models with many endogenous variables," Journal of Econometrics, Elsevier, vol. 228(1), pages 4-26.
    8. Harold D. Chiang & Joel Rodrigue & Yuya Sasaki, 2019. "Post-Selection Inference in Three-Dimensional Panel Data," Papers 1904.00211, arXiv.org, revised Apr 2019.
    9. Gyuhyeong Goh & Jisang Yu, 2022. "Causal inference with some invalid instrumental variables: A quasi‐Bayesian approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1432-1451, December.
    10. Joseph Fry, 2023. "A Method of Moments Approach to Asymptotically Unbiased Synthetic Controls," Papers 2312.01209, arXiv.org, revised Mar 2024.
    11. Jinyuan Chang & Zhentao Shi & Jia Zhang, 2021. "Culling the herd of moments with penalized empirical likelihood," Papers 2108.03382, arXiv.org, revised May 2022.
    12. Qingliang Fan & Yaqian Wu, 2020. "Endogenous Treatment Effect Estimation with some Invalid and Irrelevant Instruments," Papers 2006.14998, arXiv.org.
    13. Tae-Hwy Lee & Tao Wang, 2023. "Estimation and Testing of Forecast Rationality with Many Moments," Working Papers 202307, University of California at Riverside, Department of Economics.
    14. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.
    15. Yoonseok Lee & Yu Zhou, 2015. "Averaged Instrumental Variables Estimators," Center for Policy Research Working Papers 180, Center for Policy Research, Maxwell School, Syracuse University.
    16. Mehmet Caner & Xu Han, 2021. "An upper bound for functions of estimators in high dimensions," Econometric Reviews, Taylor & Francis Journals, vol. 40(1), pages 1-13, January.
    17. Mehmet Caner, 2021. "A Starting Note: A Historical Perspective in Lasso," International Econometric Review (IER), Econometric Research Association, vol. 13(1), pages 1-3, March.

  10. Yoonseok Lee & Sung Jae Jun & Youngki Shin, 2014. "Treatment Effects with Unobserved Heterogeneity: A Set Identification Approach," Center for Policy Research Working Papers 169, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Pablo Lavado & Gonzalo Rivera, 2016. "Identifying Treatment Effects with Data Combination and Unobserved Heterogeneity," Working Papers 79, Peruvian Economic Association.
    2. Pablo Lavado & Gonzalo Rivera, 2015. "Identifying treatment effects and counterfactual distributions using data combination with unobserved heterogeneity," Working Papers 15-14, Centro de Investigación, Universidad del Pacífico.
    3. Shakeeb Khan & Maria Ponomareva & Elie Tamer, 2011. "Identification of Panel Data Models with Endogenous Censoring," Working Papers 11-07, Duke University, Department of Economics.
    4. Brantly Callaway & Tong Li, 2019. "Quantile treatment effects in difference in differences models with panel data," Quantitative Economics, Econometric Society, vol. 10(4), pages 1579-1618, November.
    5. Shosei Sakaguchi, 2017. "Estimation of Average Treatment Effects Using Panel Data when Treatment Effects Are Heterogeneous by Unobserved Fixed Effects," KIER Working Papers 970, Kyoto University, Institute of Economic Research.

  11. Yoonseok Lee & Peter C.B. Phillips, 2013. "Model Selection in the Presence of Incidental Parameters," Cowles Foundation Discussion Papers 1919, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Aman Ullah & Yoonseok Lee & Debasri Mukherjee, 2018. "Nonparametric Estimation of the Marginal Effect in Fixed-Effect Panel Data Models," Working Papers 201901, University of California at Riverside, Department of Economics.
    2. Lee, Yoon-Jin & Okui, Ryo & Shintani, Mototsugu, 2018. "Asymptotic inference for dynamic panel estimators of infinite order autoregressive processes," Journal of Econometrics, Elsevier, vol. 204(2), pages 147-158.
    3. Jack Fosten & Shaoni Nandi, 2023. "Nowcasting from cross‐sectionally dependent panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 898-919, September.
    4. Lee, Yoonsoo & Mukoyama, Toshihiko, 2015. "Productivity and employment dynamics of US manufacturing plants," Economics Letters, Elsevier, vol. 136(C), pages 190-193.
    5. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    6. Liu, Ruiqi & Shang, Zuofeng & Zhang, Yonghui & Zhou, Qiankun, 2020. "Identification and estimation in panel models with overspecified number of groups," Journal of Econometrics, Elsevier, vol. 215(2), pages 574-590.
    7. Chen, Lili & Song, Ge & Meadows, Michael E. & Zou, Chaohui, 2018. "Spatio-temporal evolution of the early-warning status of cultivated land and its driving factors: A case study of Heilongjiang Province, China," Land Use Policy, Elsevier, vol. 72(C), pages 280-292.
    8. Greenaway-McGrevy, Ryan & Hood, Kyle K., 2016. "Worker migration or job creation? Persistent shocks and regional recoveries," Journal of Urban Economics, Elsevier, vol. 96(C), pages 1-16.
    9. Majid M. Al-Sadoon & Tong Li & M. Hashem Pesaran, 2017. "Exponential class of dynamic binary choice panel data models with fixed effects," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 898-927, October.
    10. H. V. Kulkarni & S. M. Patil, 2021. "Uniformly implementable small sample integrated likelihood ratio test for one-way and two-way ANOVA under heteroscedasticity and normality," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(2), pages 273-305, June.
    11. Haruo Iwakura & Ryo Okui, 2014. "Asymptotic Efficiency in Factor Models and Dynamic Panel Data Models," KIER Working Papers 887, Kyoto University, Institute of Economic Research.
    12. Greenaway-McGrevy, Ryan, 2022. "Forecast combination for VARs in large N and T panels," International Journal of Forecasting, Elsevier, vol. 38(1), pages 142-164.
    13. Lee, Yoonseok & Sul, Donggyu, 2023. "Depth-weighted means of noisy data: An application to estimating the average effect in heterogeneous panels," Journal of Multivariate Analysis, Elsevier, vol. 196(C).

  12. Yoonseok Lee & Donggyun Shin, 2013. "Measuring Social Unrest Based on Income Distribution," Center for Policy Research Working Papers 160, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Ghosh, Saibal, 2023. "Social unrest and corporate behaviour during the Arab Spring period," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).

  13. Yoonseok Lee & Ryo Okui, 2009. "A Specification Test for Instrumental Variables Regression with Many Instruments," Cowles Foundation Discussion Papers 1741, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Norman R. Swanson & John C. Chao & Jerry A. Hausman & Whitney K. Newey & Tiemen Woutersen, 2011. "Testing Overidentifying Restrictions with Many Instruments and Heteroskedasticity," Departmental Working Papers 201118, Rutgers University, Department of Economics.
    2. Walter Beckert, 2019. "A Note on Specification Testing in Some Structural Regression Models," CeMMAP working papers CWP22/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Walter Beckert, 2020. "A Note on Specification Testing in Some Structural Regression Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(3), pages 686-695, June.
    4. Lee, Yoonseok & Okui, Ryo, 2012. "Hahn–Hausman test as a specification test," Journal of Econometrics, Elsevier, vol. 167(1), pages 133-139.
    5. C. J. Krizan & Adela Luque & Alice Zawacki, 2014. "The Effect Of Employer Health Insurance Offering On The Growth And Survival Of Small Business Prior To The Affordable Care Act," Working Papers 14-22, Center for Economic Studies, U.S. Census Bureau.

  14. Carruthers, Bruce G. & Guinnane, Timothy W. & Lee, Yoonseok, 2009. "Bringing "Honest Capital" to Poor Borrowers: The Passage of the Uniform Small Loan Law, 1907-1930," Center Discussion Papers 50949, Yale University, Economic Growth Center.

    Cited by:

    1. Mary Eschelbach Hansen, 2014. "Sources of Credit and the Extent of the Credit Market: A View from Bankruptcy Records, Mississippi 1929-1936," Working Papers 2014-09, American University, Department of Economics.
    2. Hansen, Mary Eschelbach & Hansen, Bradley A., 2012. "Crisis and Bankruptcy: The Mediating Role of State Law, 1920–1932," The Journal of Economic History, Cambridge University Press, vol. 72(2), pages 448-468, May.

Articles

  1. Lee, Yoonseok & Wang, Yulong, 2023. "Threshold regression with nonparametric sample splitting," Journal of Econometrics, Elsevier, vol. 235(2), pages 816-842.
    See citations under working paper version above.
  2. Yoonseok Lee & Mary E. Lovely & Hoang Pham, 2023. "Dynamic and non‐neutral productivity effects of foreign ownership: A nonparametric approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 24-48, January.
    See citations under working paper version above.
  3. William C. Horrace & Hyunseok Jung & Yoonseok Lee, 2023. "LASSO for Stochastic Frontier Models with Many Efficient Firms," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1132-1142, October.
    See citations under working paper version above.
  4. Lee, Yoonseok & Sul, Donggyu, 2023. "Depth-weighted means of noisy data: An application to estimating the average effect in heterogeneous panels," Journal of Multivariate Analysis, Elsevier, vol. 196(C).

    Cited by:

    1. Hyeongwoo Kim & Donggyu Sul, 2024. "Identifying the Driver of Economic Inequality in the U.S. in the Growing Economic Gulf," Auburn Economics Working Paper Series auwp2024-06, Department of Economics, Auburn University.

  5. Lee, Yoonseok & Mukherjee, Debasri & Ullah, Aman, 2019. "Nonparametric estimation of the marginal effect in fixed-effect panel data models," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 53-67.
    See citations under working paper version above.
  6. Yoonseok Lee & Andrey Stoyanov & Nikolay Zubanov, 2019. "Olley and Pakes‐style Production Function Estimators with Firm Fixed Effects," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(1), pages 79-97, February.

    Cited by:

    1. Bournakis, Ioannis & Tsionas, Mike G., 2023. "A Non-Parametric Estimation of Productivity with Idiosyncratic and Aggregate Shocks: The Role of Research and Development (R&D) and Corporate Tax," MPRA Paper 118100, University Library of Munich, Germany.
    2. Khanna, Rupika & Sharma, Chandan, 2018. "Testing the effect of investments in IT and R&D on labour productivity: New method and evidence for Indian firms," Economics Letters, Elsevier, vol. 173(C), pages 30-34.
    3. Massimo Filippini & Suchita Srinivasan, 2019. "Investments in Worker Health and Labor Productivity: Evidence from Vietnam," CER-ETH Economics working paper series 19/326, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    4. Arteaga-Molina, Luis A., 2019. "Testing Constancy in Varying Coefficient Models," UC3M Working papers. Economics 27981, Universidad Carlos III de Madrid. Departamento de Economía.
    5. Massimo Filippini & Suchita Srinivasan, 2022. "Investments in worker health and production: Evidence from Vietnam," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 30(2), pages 211-235, April.
    6. Nicola Gagliardi & Elena Grinza & François Rycx, 2021. "Can You Teach an Old Dog New Tricks? New Evidence on the Impact of Tenure on Productivity," Working Papers CEB 21-007, ULB -- Universite Libre de Bruxelles.
    7. Cambini, Carlo & Grinza, Elena & Sabatino, Lorien, 2023. "Ultra-fast broadband access and productivity: Evidence from Italian firms," International Journal of Industrial Organization, Elsevier, vol. 86(C).
    8. Tetsuji Okazaki & Ken Onishi & Naoki Wakamori, 2018. "Excess Capacity and Effectiveness of Policy Interventions: Evidence from the Cement Industry," CIGS Working Paper Series 18-005E, The Canon Institute for Global Studies.
    9. Filippini, Massimo & Geissmann, Thomas & Karplus, Valerie J. & Zhang, Da, 2020. "The productivity impacts of energy efficiency programs in developing countries: Evidence from iron and steel firms in China," China Economic Review, Elsevier, vol. 59(C).
    10. Nikola Dacic & Marko Melolinna, 2022. "The empirics of granular origins: some challenges and solutions with an application to the UK," Journal of Productivity Analysis, Springer, vol. 58(2), pages 151-170, December.
    11. Dacic, Nikola & Melolinna, Marko, 2019. "The empirics of granular origins: some challenges and solutions with an application to the UK," Bank of England working papers 842, Bank of England.
    12. Tsionas, Mike, 2022. "Efficiency estimation using probabilistic regression trees with an application to Chilean manufacturing industries," International Journal of Production Economics, Elsevier, vol. 249(C).
    13. Abito, Jose Miguel, 2019. "Estimating Production Functions with Fixed Effects," MPRA Paper 97825, University Library of Munich, Germany.
    14. Elena Grinza & François Rycx, 2020. "The Impact of Sickness Absenteeism on Firm Productivity: New Evidence from Belgian Matched Employer–Employee Panel Data," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 59(1), pages 150-194, January.
    15. Khanna, Rupika & Sharma, Chandan, 2022. "Impact of information technology on firm performance: New evidence from Indian manufacturing," Information Economics and Policy, Elsevier, vol. 60(C).

  7. Mehmet Caner & Xu Han & Yoonseok Lee, 2018. "Adaptive Elastic Net GMM Estimation With Many Invalid Moment Conditions: Simultaneous Model and Moment Selection," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 24-46, January.
    See citations under working paper version above.
  8. Sung Jae Jun & Yoonseok Lee & Youngki Shin, 2016. "Treatment Effects With Unobserved Heterogeneity: A Set Identification Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 302-311, April.
    See citations under working paper version above.
  9. Yoonseok Lee & Donggyun Shin, 2016. "Measuring Social Tension from Income Class Segregation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 457-471, July.

    Cited by:

    1. Ying Yao & Guanghua Wan & Dongfang Meng, 2019. "Income distribution and health: can polarization explain health outcomes better than inequality?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(4), pages 543-557, June.
    2. Park, Seonyoung & Shin, Donggyun, 2020. "Recent Changes in the Nature of Distribution Dynamics of US County Incomes," Working Paper Series 20926, Victoria University of Wellington, School of Economics and Finance.

  10. Lee, Yoonseok & Phillips, Peter C.B., 2015. "Model selection in the presence of incidental parameters," Journal of Econometrics, Elsevier, vol. 188(2), pages 474-489.
    See citations under working paper version above.
  11. Lee, Yoonseok, 2014. "Nonparametric Estimation Of Dynamic Panel Models With Fixed Effects," Econometric Theory, Cambridge University Press, vol. 30(6), pages 1315-1347, December.

    Cited by:

    1. Aman Ullah & Yoonseok Lee & Debasri Mukherjee, 2018. "Nonparametric Estimation of the Marginal Effect in Fixed-Effect Panel Data Models," Working Papers 201901, University of California at Riverside, Department of Economics.
    2. Chen, Xiaoguang & Ye, Jingjing, 2017. "When the Wind Blows: Spatial Spillover Effects of Urban Air Pollution," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258256, Agricultural and Applied Economics Association.
    3. Sasaki, Yuya & Xin, Yi, 2017. "Unequal spacing in dynamic panel data: Identification and estimation," Journal of Econometrics, Elsevier, vol. 196(2), pages 320-330.
    4. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers 34/15, Institute for Fiscal Studies.
    5. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers CWP34/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Wei Shi & Lung-fei Lee, 2018. "The effects of gun control on crimes: a spatial interactive fixed effects approach," Empirical Economics, Springer, vol. 55(1), pages 233-263, August.
    7. Yu, Jihai & Zhou, Li-An & Zhu, Guozhong, 2016. "Strategic interaction in political competition: Evidence from spatial effects across Chinese cities," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 23-37.
    8. De Monte Enrico, 2024. "Nonparametric Instrumental Regression with Two-Way Fixed Effects," Journal of Econometric Methods, De Gruyter, vol. 13(1), pages 49-66, January.
    9. Lee, Yoonseok & Phillips, Peter C.B., 2015. "Model selection in the presence of incidental parameters," Journal of Econometrics, Elsevier, vol. 188(2), pages 474-489.
    10. Chang, Hsuan-Yu & Wang, Wei & Yu, Jihai, 2021. "Revisiting the environmental Kuznets curve in China: A spatial dynamic panel data approach," Energy Economics, Elsevier, vol. 104(C).
    11. Francesco Bravo, 2016. "Local Information Theoretic Methods for smooth Coefficients Dynamic Panel Data Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(5), pages 690-708, September.
    12. Lee, Yoonseok & Sul, Donggyu, 2023. "Depth-weighted means of noisy data: An application to estimating the average effect in heterogeneous panels," Journal of Multivariate Analysis, Elsevier, vol. 196(C).

  12. Yoonseok Lee & Donggyun Shin, 2012. "Mobility-Based Explanation of Crime Incentives," Korean Economic Review, Korean Economic Association, vol. 28, pages 51-67.

    Cited by:

    1. Yoonseok Lee, Donggyun Shin, Kwanho Shin, 2013. "Social Consequences of Economic Segregation," Korean Economic Review, Korean Economic Association, vol. 29, pages 189-210.

  13. Lee, Yoonseok, 2012. "Bias in dynamic panel models under time series misspecification," Journal of Econometrics, Elsevier, vol. 169(1), pages 54-60.

    Cited by:

    1. Aman Ullah & Yoonseok Lee & Debasri Mukherjee, 2018. "Nonparametric Estimation of the Marginal Effect in Fixed-Effect Panel Data Models," Working Papers 201901, University of California at Riverside, Department of Economics.
    2. Lee, Yoon-Jin & Okui, Ryo & Shintani, Mototsugu, 2018. "Asymptotic inference for dynamic panel estimators of infinite order autoregressive processes," Journal of Econometrics, Elsevier, vol. 204(2), pages 147-158.
    3. Norkutė, Milda & Westerlund, Joakim, 2019. "The factor analytical method for interactive effects dynamic panel models with moving average errors," Econometrics and Statistics, Elsevier, vol. 11(C), pages 83-104.
    4. Dhaene, Geert & Jochmans, Koen, 2016. "Bias-corrected estimation of panel vector autoregressions," Economics Letters, Elsevier, vol. 145(C), pages 98-103.
    5. Ying-Ying Lee, 2015. "Interpretation and Semiparametric Efficiency in Quantile Regression under Misspecification," Econometrics, MDPI, vol. 4(1), pages 1-14, December.
    6. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    7. Ryo Okui, 2017. "Misspecification in Dynamic Panel Data Models and Model-Free Inferences," The Japanese Economic Review, Springer, vol. 68(3), pages 283-304, September.
    8. Ryo Okui & Takahide Yanagi, 2014. "Panel Data Analysis with Heterogeneous Dynamics," KIER Working Papers 906, Kyoto University, Institute of Economic Research.
    9. Okui Ryo, 2014. "Asymptotically Unbiased Estimation of Autocovariances and Autocorrelations with Panel Data in the Presence of Individual and Time Effects," Journal of Time Series Econometrics, De Gruyter, vol. 6(2), pages 129-181, July.
    10. Lee, Yoonseok & Phillips, Peter C.B., 2015. "Model selection in the presence of incidental parameters," Journal of Econometrics, Elsevier, vol. 188(2), pages 474-489.
    11. Gonçalves, Sílvia & Kaffo, Maximilien, 2015. "Bootstrap inference for linear dynamic panel data models with individual fixed effects," Journal of Econometrics, Elsevier, vol. 186(2), pages 407-426.
    12. Zhou, Qing & Faff, Robert & Alpert, Karen, 2014. "Bias correction in the estimation of dynamic panel models in corporate finance," Journal of Corporate Finance, Elsevier, vol. 25(C), pages 494-513.
    13. Li, Rui & Wan, Alan T.K. & You, Jinhong, 2016. "Semiparametric GMM estimation and variable selection in dynamic panel data models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 401-423.
    14. Haruo Iwakura & Ryo Okui, 2014. "Asymptotic Efficiency in Factor Models and Dynamic Panel Data Models," KIER Working Papers 887, Kyoto University, Institute of Economic Research.
    15. Håkan Jankensgård & Anders Vilhelmsson, 2018. "The Shareholder Base Hypothesis of Stock Return Volatility: Empirical Evidence," Financial Management, Financial Management Association International, vol. 47(1), pages 55-79, March.
    16. Lee, Yoonseok & Sul, Donggyu, 2023. "Depth-weighted means of noisy data: An application to estimating the average effect in heterogeneous panels," Journal of Multivariate Analysis, Elsevier, vol. 196(C).

  14. Lee, Yoonseok & Okui, Ryo, 2012. "Hahn–Hausman test as a specification test," Journal of Econometrics, Elsevier, vol. 167(1), pages 133-139.

    Cited by:

    1. Tae-Hwan Kim & Christophe Muller, 2017. "A Robust Test of Exogeneity Based on Quantile Regressions," AMSE Working Papers 1716, Aix-Marseille School of Economics, France.
    2. Firmin DOKO TCHATOKA & Jean-Marie DUFOUR, 2016. "Exogeneity Tests, Incomplete Models, Weak Identification and Non-Gaussian Distributions : Invariance and Finite-Sample Distributional Theory," Cahiers de recherche 14-2016, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    3. Qingliang Fan & Zijian Guo & Ziwei Mei, 2022. "A Heteroskedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates," Papers 2205.00171, arXiv.org, revised May 2024.
    4. Jamal Bouoiyour & Amal Miftah & Refk Selmi, 2019. "The economic contribution of immigration on Europe: Fresh evidence from a “hybrid” quantile regression model," Working Papers hal-02346700, HAL.
    5. Guo, Zijian & Kang, Hyunseung & Cai, T. Tony & Small, Dylan S., 2018. "Testing endogeneity with high dimensional covariates," Journal of Econometrics, Elsevier, vol. 207(1), pages 175-187.
    6. Kohtaro Hitomi & Masamune Iwasawa & Yoshihiko Nishiyama, 2018. "Rate Optimal Specification Test When the Number of Instruments is Large," KIER Working Papers 986, Kyoto University, Institute of Economic Research.
    7. Zhenhong Huang & Chen Wang & Jianfeng Yao, 2023. "The First-stage F Test with Many Weak Instruments," Papers 2302.14423, arXiv.org, revised Sep 2024.
    8. Zhenhong Huang & Chen Wang & Jianfeng Yao, 2023. "A specification test for the strength of instrumental variables," Papers 2302.14396, arXiv.org.
    9. Mehmet Caner & Xu Han & Yoonseok Lee, 2018. "Adaptive Elastic Net GMM Estimation With Many Invalid Moment Conditions: Simultaneous Model and Moment Selection," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 24-46, January.
    10. Kolesár, Michal, 2018. "Minimum distance approach to inference with many instruments," Journal of Econometrics, Elsevier, vol. 204(1), pages 86-100.
    11. Tae-Hwan Kim & Christophe Muller, 2013. "A Test for Endogeneity in Conditional Quantiles," AMSE Working Papers 1342, Aix-Marseille School of Economics, France, revised Aug 2013.
    12. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.
    13. Yoonseok Lee & Yu Zhou, 2015. "Averaged Instrumental Variables Estimators," Center for Policy Research Working Papers 180, Center for Policy Research, Maxwell School, Syracuse University.
    14. Marine Carrasco & Mohamed Doukali, 2022. "Testing overidentifying restrictions with many instruments and heteroscedasticity using regularised jackknife IV," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 71-97.
    15. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.

Chapters

  1. Yoonseok Lee & Donggyu Sul, 2022. "Trimmed Mean Group Estimation," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Panel Modeling, Micro Applications, and Econometric Methodology, volume 43, pages 177-202, Emerald Group Publishing Limited.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

More information

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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 17 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 (11) 2009-12-11 2013-10-11 2014-09-25 2015-05-02 2015-09-26 2019-06-10 2019-11-04 2020-02-03 2021-03-01 2021-03-01 2022-05-09. Author is listed
  2. NEP-ORE: Operations Research (4) 2020-02-03 2020-02-03 2021-03-01 2022-05-09
  3. NEP-EFF: Efficiency and Productivity (3) 2015-03-22 2021-02-08 2022-05-09
  4. NEP-ETS: Econometric Time Series (3) 2013-10-11 2013-11-02 2020-02-03
  5. NEP-HIS: Business, Economic and Financial History (2) 2009-07-03 2009-12-11
  6. NEP-AGE: Economics of Ageing (1) 2015-03-22
  7. NEP-CSE: Economics of Strategic Management (1) 2021-02-08
  8. NEP-FOR: Forecasting (1) 2021-03-01
  9. NEP-SBM: Small Business Management (1) 2021-02-08

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