Nayoung Lee

Personal Details

First Name:	Nayoung
Middle Name:
Last Name:	Lee
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RePEc Short-ID:	ple778
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	http://nayounglee.weebly.com/

Affiliation

Department of Economics
College of Business
University of Cincinnati

Cincinnati, Ohio (United States)
https://business.uc.edu/faculty-and-research/departments/economics.html
RePEc:edi:decucus (more details at EDIRC)

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

1. Nayoung Lee & Hyungsik Roger Moon & Martin Weidner, 2011. "Analysis of interactive fixed effects dynamic linear panel regression with measurement error," CeMMAP working papers CWP37/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   • Lee, Nayoung & Moon, Hyungsik Roger & Weidner, Martin, 2012. "Analysis of interactive fixed effects dynamic linear panel regression with measurement error," Economics Letters, Elsevier, vol. 117(1), pages 239-242.

   Cited by:

   1. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
      • Hyungsik Roger Moon & Martin Weidner, 2014. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP47/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
      • Moon, Hyungsik Roger & Weidner, Martin, 2017. "Dynamic Linear Panel Regression Models With Interactive Fixed Effects," Econometric Theory, Cambridge University Press, vol. 33(1), pages 158-195, February.
   2. Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
      • Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
      • Alexander Chudik & M. Hashem Pesaran, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," CESifo Working Paper Series 4232, CESifo.
      • Alexander Chudik & M. Hashem Pesaran, 2013. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Globalization Institute Working Papers 146, Federal Reserve Bank of Dallas.
   3. Daniel L. Millimet & Ian K. McDonough, 2017. "Dynamic Panel Data Models With Irregular Spacing: With an Application to Early Childhood Development," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 725-743, June.
      • Millimet, Daniel L. & McDonough, Ian K., 2013. "Dynamic Panel Data Models with Irregular Spacing: With Applications to Early Childhood Development," IZA Discussion Papers 7359, Institute of Labor Economics (IZA).
   4. Alexander Chudik & M. Hashem Pesaran, 2013. "Large panel data models with cross-sectional dependence: a survey," Globalization Institute Working Papers 153, Federal Reserve Bank of Dallas.
      • Alexander Chudik & M. Hashem Pesaran, 2013. "Large Panel Data Models with Cross-Sectional Dependence: A Survey," CESifo Working Paper Series 4371, CESifo.
   5. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 47/14, Institute for Fiscal Studies.
   6. Galvao, Antonio F. & Wang, Liang, 2015. "Efficient minimum distance estimator for quantile regression fixed effects panel data," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 1-26.
   7. Lu, Xun & Su, Liangjun, 2016. "Shrinkage estimation of dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 190(1), pages 148-175.
      • Xun Lu & Su Liangjun, 2015. "Shrinkage Estimation of Dynamic Panel Data Models with Interactive Fixed Effects," Working Papers 02-2015, Singapore Management University, School of Economics.
   8. Miao, Ke & Li, Kunpeng & Su, Liangjun, 2020. "Panel threshold models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 219(1), pages 137-170.
   9. Daniel Czarnowske & Amrei Stammann, 2020. "Inference in Unbalanced Panel Data Models with Interactive Fixed Effects," Papers 2004.03414, arXiv.org.
   10. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
   11. Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
       • Juodis, Arturas & Sarafidis, Vasilis, 2020. "An Incidental Parameters Free Inference Approach for Panels with Common Shocks," MPRA Paper 104906, University Library of Munich, Germany.
   12. Antonio F. Galvao & Jiaying Gu & Stanislav Volgushev, 2018. "On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects," Papers 1807.11863, arXiv.org, revised Feb 2020.
       • Galvao, Antonio F. & Gu, Jiaying & Volgushev, Stanislav, 2020. "On the unbiased asymptotic normality of quantile regression with fixed effects," Journal of Econometrics, Elsevier, vol. 218(1), pages 178-215.
   13. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
   14. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   15. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.

2. John Strauss & Nayoung Lee & Geert Ridder, 2010. "Estimation of Poverty Transition Matrices with Noisy Data," Working Papers id:2796, eSocialSciences.
   • Nayoung Lee & Geert Ridder & John Strauss, 2017. "Estimation of Poverty Transition Matrices with Noisy Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 37-55, January.
   • Nayoung Lee & Geert Ridder & John Strauss, 2010. "Estimation of Poverty Transition Matrices with Noisy Data," Textos para discussão 576, Department of Economics PUC-Rio (Brazil).

   Cited by:

   1. Francesco Devicienti & Valentina Gualtieri & Mariacristina Rossi, 2014. "The Persistence Of Income Poverty And Lifestyle Deprivation: Evidence From Italy," Bulletin of Economic Research, Wiley Blackwell, vol. 66(3), pages 246-278, July.
      • Francesco Devicienti & Valentina Gualtieri & Mariacristina Rossi, 2011. "The persistence of income poverty and life-style deprivation: Evidence from Italy," Working Papers 229, ECINEQ, Society for the Study of Economic Inequality.
   2. Hai-Anh Dang & Peter Lanjouw, 2022. "Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross-Sections," Working Papers 632, ECINEQ, Society for the Study of Economic Inequality.
      • Dang, Hai-Anh H & Lanjouw, Peter F., 2022. "Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross-Sections," IZA Discussion Papers 15827, Institute of Labor Economics (IZA).
      • Hai‐Anh H. Dang & Peter F. Lanjouw, 2023. "Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross Sections," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 599-622, June.
      • Dang, Hai-Anh H. & Lanjouw, Peter F., 2022. "Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross-Sections," GLO Discussion Paper Series 1213, Global Labor Organization (GLO).
   3. Janz, Teresa & Augsburg, Britta & Gassmann, Franziska & Nimeh, Zina, 2023. "Leaving no one behind: Urban poverty traps in Sub-Saharan Africa," World Development, Elsevier, vol. 172(C).
      • Janz, Teresa & Augsburg, B. & Gassmann, Franziska & Nimeh, Zina, 2022. "Leaving no one behind: Urban poverty traps in Sub-Saharan Africa," MERIT Working Papers 2022-041, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
   4. Dang,Hai-Anh H. & Lanjouw,Peter F. & Swinkels,Robertus A & Dang,Hai-Anh H. & Lanjouw,Peter F. & Swinkels,Robertus A, 2014. "Who remained in poverty, who moved up, and who fell down ? an investigation of poverty dynamics in Senegal in the late 2000s," Policy Research Working Paper Series 7141, The World Bank.
   5. Guglielmo D'Amico & Riccardo De Blasis & Philippe Regnault, 2020. "Confidence sets for dynamic poverty indexes," Papers 2006.06595, arXiv.org.
   6. Rishi Kumar, 2022. "Household poverty dynamics in tribal Madhya Pradesh, India: A case study of 54 villages," Poverty & Public Policy, John Wiley & Sons, vol. 14(2), pages 184-203, June.
   7. Luis Beccaria & Roxana Maurizio & Ana Fernández & Paula Monsalvo & Mariana Álvarez, 2013. "Urban poverty and labor market dynamics in five Latin American countries: 2003–2008," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(4), pages 555-580, December.
   8. Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
      • Dang, Hai-Anh & Jolliffe, Dean & Carletto, Calogero, 2018. "Data Gaps, Data Incomparability, and Data Imputation: A Review of Poverty Measurement Methods for Data-Scarce Environments," GLO Discussion Paper Series 179, Global Labor Organization (GLO).
      • Dang,Hai-Anh H. & Jolliffe,Dean Mitchell & Carletto,Calogero & Dang,Hai-Anh H. & Jolliffe,Dean Mitchell & Carletto,Calogero, 2017. "Data gaps, data incomparability, and data imputation : a review of poverty measurement methods for data-scarce environments," Policy Research Working Paper Series 8282, The World Bank.
      • Hai-Anh Dang & Dean Jolliffe & Calogero Carletto, 2018. "Data gaps, data incomparability, and data imputation: A review of poverty measurement methods for data-scarce environments," Working Papers 456, ECINEQ, Society for the Study of Economic Inequality.
   9. Garza-Rodriguez, Jorge & Fernández-Ramos, Jennifer & Garcia-Guerra, Ana K. & Morales-Ramirez, Gabriela, 2015. "The dynamics of poverty in Mexico: A multinomial logistic regression analysis," MPRA Paper 77743, University Library of Munich, Germany.
   10. Hillebrecht, Michael & Klonner, Stefan & Pacere, Noraogo A., 2023. "The dynamics of poverty targeting," Journal of Development Economics, Elsevier, vol. 161(C).
   11. Alessio Fusco & Philippe Van Kerm, 2022. "Measuring Poverty Persistence," LISER Working Paper Series 022-02, Luxembourg Institute of Socio-Economic Research (LISER).
       • Alessio Fusco & Philippe Van Kerm, 2023. "Measuring poverty persistence," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 18, pages 192-200, Edward Elgar Publishing.
   12. Dang, Hai-Anh & Lanjouw, Peter & Luoto, Jill & McKenzie, David, 2014. "Using repeated cross-sections to explore movements into and out of poverty," Journal of Development Economics, Elsevier, vol. 107(C), pages 112-128.
       • Dang, Hai-Anh & Lanjouw, Peter & Luoto, Jill & McKenzie, David, 2011. "Using repeated cross-sections to explore movements in and out of poverty," Policy Research Working Paper Series 5550, The World Bank.
   13. John Gibson & Omoniyi Alimi, 2020. "Measuring poverty with noisy and corrected estimates of annual consumption: Evidence from Nigeria," African Development Review, African Development Bank, vol. 32(1), pages 96-107, March.
   14. Simone Schotte & Rocco Zizzamia & Murray Leibbrandt, 2022. "Snakes and ladders and loaded dice: Poverty dynamics and inequality in South Africa between 2008 and 2017," South African Journal of Economics, Economic Society of South Africa, vol. 90(2), pages 214-242, June.
   15. Guglielmo D’Amico & Philippe Regnault, 2018. "Dynamic Measurement of Poverty: Modeling and Estimation," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(2), pages 305-340, November.
   16. Robert Schoen, 2020. "Dynamic Multistate Models With Constant Cross-Product Ratios: Applications to Poverty Status," Demography, Springer;Population Association of America (PAA), vol. 57(2), pages 779-797, April.
   17. Jennifer Fernández-Ramos & Ana K. Garcia-Guerra & Jorge Garza-Rodriguez & Gabriela Morales-Ramirez, 2016. "The dynamics of poverty transitions in Mexico," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 43(11), pages 1082-1095, November.
   18. Rocco Zizzamia & Simone Schotte & Murray Leibbrandt & Vimal Ranchhod, 2016. "Vulnerability and the Middle Class in South Africa," SALDRU Working Papers 188, Southern Africa Labour and Development Research Unit, University of Cape Town.

Articles

1. Nayoung Lee & Geert Ridder & John Strauss, 2017. "Estimation of Poverty Transition Matrices with Noisy Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 37-55, January.
   • Nayoung Lee & Geert Ridder & John Strauss, 2010. "Estimation of Poverty Transition Matrices with Noisy Data," Textos para discussão 576, Department of Economics PUC-Rio (Brazil).
   • John Strauss & Nayoung Lee & Geert Ridder, 2010. "Estimation of Poverty Transition Matrices with Noisy Data," Working Papers id:2796, eSocialSciences.
   See citations under working paper version above.
2. Lee, Nayoung & Moon, Hyungsik Roger & Zhou, Qiankun, 2017. "Many IVs estimation of dynamic panel regression models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 251-259.

   Cited by:

   1. Cheng Hsiao & Qiankun Zhou, 2017. "JIVE for Panel Dynamic Simultaneous Equations Models," Departmental Working Papers 2017-10, Department of Economics, Louisiana State University.
      • Hsiao, Cheng & Zhou, Qiankun, 2018. "Jive For Panel Dynamic Simultaneous Equations Models," Econometric Theory, Cambridge University Press, vol. 34(6), pages 1325-1369, December.
   2. Jörg Breitung & Philipp Hansen, 2021. "Alternative estimation approaches for the factor augmented panel data model with small T," Empirical Economics, Springer, vol. 60(1), pages 327-351, January.
   3. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.
      • Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2018. "Matrix Completion Methods for Causal Panel Data Models," NBER Working Papers 25132, National Bureau of Economic Research, Inc.
      • Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2021. "Matrix Completion Methods for Causal Panel Data Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1716-1730, October.
   4. Meijer, Erik & Spierdijk, Laura & Wansbeek, Tom, 2017. "Consistent estimation of linear panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 169-180.
      • Erik Meijer & Laura Spierdijk & Tom J. Wansbeek, 2015. "Consistent Estimation of Linear Panel Data Models with Measurement Error," CESifo Working Paper Series 5164, CESifo.
   5. Kuzman, Tanja & Lazarevic, Jelisaveta & Nedeljkovic, Milan, 2022. "Capital flows liberalisation and macroprudential policies: The effects on credit cycles in emerging economies," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 602-619.
   6. Smith, Simon C. & Timmermann, Allan & Zhu, Yinchu, 2019. "Variable selection in panel models with breaks," Journal of Econometrics, Elsevier, vol. 212(1), pages 323-344.
   7. Sinem Hacıoğlu Hoke & George Kapetanios, 2021. "Common correlated effect cross‐sectional dependence corrections for nonlinear conditional mean panel models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 125-150, January.
   8. Ayden Higgins & Federico Martellosio, 2019. "Shrinkage Estimation of Network Spillovers with Factor Structured Errors," Papers 1909.02823, arXiv.org, revised Nov 2021.
   9. Milda Norkute & Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2021. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," Bank of Lithuania Working Paper Series 90, Bank of Lithuania.
      • Cui, Guowei & Norkute, Milda & Sarafidis, Vasilis & Yamagata, Takashi, 2020. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," MPRA Paper 102827, University Library of Munich, Germany.
      • Guowei Cui & Milda NorkutÄ— & Vasilis Sarafidis & Takashi Yamagata, 2022. "Two-stage instrumental variable estimation of linear panel data models with interactive effects [Eigenvalue ratio test for the number of factors]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 340-361.
      • Guowei Cui & Milda Norkuté & Vasilis Sarafidis & Takashi Yamagata, 2020. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," ISER Discussion Paper 1101, Institute of Social and Economic Research, Osaka University.
   10. Miao, Ke & Li, Kunpeng & Su, Liangjun, 2020. "Panel threshold models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 219(1), pages 137-170.
   11. Shiyun Cao & Yonghui Zhang & Qiankun Zhou, 2021. "2SLS and IV Estimation of Dynamic Panel Models with Heterogeneous Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1408-1431, December.
   12. Wang, Yiren & Phillips, Peter C.B. & Su, Liangjun, 2024. "Panel data models with time-varying latent group structures," Journal of Econometrics, Elsevier, vol. 240(1).
       • Yiren Wang & Peter C B Phillips & Liangjun Su, 2023. "Panel Data Models with Time-Varying Latent Group Structures," Papers 2307.15863, arXiv.org.
       • Yiren Wang & Peter C. B. Phillips & Liangjun Su, 2023. "Panel Data Models with Time-Varying Latent Group Structures," Cowles Foundation Discussion Papers 2364, Cowles Foundation for Research in Economics, Yale University.
   13. Doug J. Chung & Byungyeon Kim & Byoung G. Park, 2019. "How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove–Arrow Framework," Management Science, INFORMS, vol. 65(11), pages 5197-5218, November.
   14. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP08/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
       • Moon, Hyungsik Roger & Shum, Matthew & Weidner, Martin, 2018. "Estimation of random coefficients logit demand models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 613-644.
       • Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2014. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP20/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
       • Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2017. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP12/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   15. Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
       • Juodis, Arturas & Sarafidis, Vasilis, 2020. "An Incidental Parameters Free Inference Approach for Panels with Common Shocks," MPRA Paper 104906, University Library of Munich, Germany.
   16. Liu, Tuo & Xu, Xingbai & Lee, Lung-fei, 2022. "Consistency without compactness of the parameter space in spatial econometrics," Economics Letters, Elsevier, vol. 210(C).
   17. Guo, Juncong & Qu, Xi, 2020. "Fixed effects spatial panel data models with time-varying spatial dependence," Economics Letters, Elsevier, vol. 196(C).
   18. Chau, Thi Tuyet Trang & Ailliot, Pierre & Monbet, Valérie, 2021. "An algorithm for non-parametric estimation in state–space models," Computational Statistics & Data Analysis, Elsevier, vol. 153(C).

3. Lee, Nayoung & Moon, Hyungsik Roger & Weidner, Martin, 2012. "Analysis of interactive fixed effects dynamic linear panel regression with measurement error," Economics Letters, Elsevier, vol. 117(1), pages 239-242.
   • Nayoung Lee & Hyungsik Roger Moon & Martin Weidner, 2011. "Analysis of interactive fixed effects dynamic linear panel regression with measurement error," CeMMAP working papers CWP37/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   See citations under working paper version above.

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1. Korean Economists

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 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 (2) 2010-09-11 2012-01-25
2. NEP-ETS: Econometric Time Series (1) 2012-01-25

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