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Bo Li

Personal Details

First Name:Bo
Middle Name:
Last Name:Li
Suffix:
RePEc Short-ID:pli490
http://sites.google.com/site/boliboli

Affiliation

School of Economics and Management
Tsinghua University

Beijing, China
http://www.sem.tsinghua.edu.cn/

:


RePEc:edi:setsicn (more details at EDIRC)

Research output

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Jump to: Working papers Articles

Working papers

  1. Chi, Wei & Li, Bo, 2007. "Glass Ceiling or Sticky Floor? Examining the Gender Pay Gap across the Wage Distribution in Urban China, 1987-2004," MPRA Paper 3544, University Library of Munich, Germany.
  2. Chi, Wei & Li, Bo & Yu, Qiumei, 2007. "Decomposition of Changes in Earnings Inequality in China: A Distributional Approach," MPRA Paper 3806, University Library of Munich, Germany.

Articles

  1. Leng, Chenlei & Li, Bo, 2010. "Least squares approximation with a diverging number of parameters," Statistics & Probability Letters, Elsevier, vol. 80(3-4), pages 254-261, February.
  2. Bo Li, 2009. "Asymptotically Distribution-Free Goodness-of-Fit Testing: A Unifying View," Econometric Reviews, Taylor & Francis Journals, vol. 28(6), pages 632-657.
  3. Hansheng Wang & Bo Li & Chenlei Leng, 2009. "Shrinkage tuning parameter selection with a diverging number of parameters," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(3), pages 671-683.
  4. Chi, Wei & Li, Bo, 2008. "Glass ceiling or sticky floor? Examining the gender earnings differential across the earnings distribution in urban China, 1987-2004," Journal of Comparative Economics, Elsevier, vol. 36(2), pages 243-263, June.
  5. Peter Bickel & Bo Li & Alexandre Tsybakov & Sara Geer & Bin Yu & Teófilo Valdés & Carlos Rivero & Jianqing Fan & Aad Vaart, 2006. "Regularization in statistics," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(2), pages 271-344, September.

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. Chi, Wei & Li, Bo & Yu, Qiumei, 2007. "Decomposition of Changes in Earnings Inequality in China: A Distributional Approach," MPRA Paper 3806, University Library of Munich, Germany.

    Cited by:

    1. Almas Heshmati & Biwei Su, 2017. "Analysis Of Gender Wage Differential In China’S Urban Labor Market," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(02), pages 423-445, June.
    2. Chris SAKELLARIOU, 2009. "Changing Wage Distributions and the Evolution of Wage Inequality in Indonesia:1994 – 2007," Economic Growth Centre Working Paper Series 0906, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.

Articles

  1. Leng, Chenlei & Li, Bo, 2010. "Least squares approximation with a diverging number of parameters," Statistics & Probability Letters, Elsevier, vol. 80(3-4), pages 254-261, February.

    Cited by:

    1. Lee, Sangin & Kim, Yongdai & Kwon, Sunghoon, 2012. "Quadratic approximation for nonconvex penalized estimations with a diverging number of parameters," Statistics & Probability Letters, Elsevier, vol. 82(9), pages 1710-1717.
    2. Yang, Hu & Guo, Chaohui & Lv, Jing, 2015. "SCAD penalized rank regression with a diverging number of parameters," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 321-333.

  2. Bo Li, 2009. "Asymptotically Distribution-Free Goodness-of-Fit Testing: A Unifying View," Econometric Reviews, Taylor & Francis Journals, vol. 28(6), pages 632-657.

    Cited by:

    1. Chen, Qiang & Zheng, Xu & Pan, Zhiyuan, 2015. "Asymptotically distribution-free tests for the volatility function of a diffusion," Journal of Econometrics, Elsevier, vol. 184(1), pages 124-144.
    2. Bontemps, Christian, 2013. "Moment-Based Tests for Discrete Distributions," IDEI Working Papers 772, Institut d'Économie Industrielle (IDEI), Toulouse, revised Oct 2014.
    3. Bontemps, Christian, 2014. "Simple moment-based tests for value-at-risk models and discrete distribution," TSE Working Papers 14-535, Toulouse School of Economics (TSE).

  3. Hansheng Wang & Bo Li & Chenlei Leng, 2009. "Shrinkage tuning parameter selection with a diverging number of parameters," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(3), pages 671-683.

    Cited by:

    1. Lee, Seokho & Huang, Jianhua Z., 2013. "A coordinate descent MM algorithm for fast computation of sparse logistic PCA," Computational Statistics & Data Analysis, Elsevier, vol. 62(C), pages 26-38.
    2. Xiaochao Xia & Binyan Jiang & Jialiang Li & Wenyang Zhang, 2016. "Low-dimensional confounder adjustment and high-dimensional penalized estimation for survival analysis," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 22(4), pages 547-569, October.
    3. Lee, Sangin & Kim, Yongdai & Kwon, Sunghoon, 2012. "Quadratic approximation for nonconvex penalized estimations with a diverging number of parameters," Statistics & Probability Letters, Elsevier, vol. 82(9), pages 1710-1717.
    4. Yingying Fan & Cheng Yong Tang, 2013. "Tuning parameter selection in high dimensional penalized likelihood," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(3), pages 531-552, June.
    5. Dengke Xu & Zhongzhan Zhang & Liucang Wu, 2014. "Variable selection in high-dimensional double generalized linear models," Statistical Papers, Springer, vol. 55(2), pages 327-347, May.
    6. 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.
    7. Zangdong He & Wanzhu Tu & Sijian Wang & Haoda Fu & Zhangsheng Yu, 2015. "Simultaneous variable selection for joint models of longitudinal and survival outcomes," Biometrics, The International Biometric Society, vol. 71(1), pages 178-187, March.
    8. Sunghoon Kwon & Jeongyoun Ahn & Woncheol Jang & Sangin Lee & Yongdai Kim, 2017. "A doubly sparse approach for group variable selection," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 69(5), pages 997-1025, October.
    9. Burman, Prabir & Paul, Debashis, 2017. "Smooth predictive model fitting in regression," Journal of Multivariate Analysis, Elsevier, vol. 155(C), pages 165-179.
    10. Li, Gaorong & Xue, Liugen & Lian, Heng, 2011. "Semi-varying coefficient models with a diverging number of components," Journal of Multivariate Analysis, Elsevier, vol. 102(7), pages 1166-1174, August.
    11. Tang, Niansheng & Yan, Xiaodong & Zhao, Puying, 2018. "Exponentially tilted likelihood inference on growing dimensional unconditional moment models," Journal of Econometrics, Elsevier, vol. 202(1), pages 57-74.
    12. Leng, Chenlei & Li, Bo, 2010. "Least squares approximation with a diverging number of parameters," Statistics & Probability Letters, Elsevier, vol. 80(3-4), pages 254-261, February.
    13. Tong Tong Wu & Gang Li & Chengyong Tang, 2015. "Empirical Likelihood for Censored Linear Regression and Variable Selection," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(3), pages 798-812, September.
    14. Lam, Clifford & Souza, Pedro C.L., 2015. "Detection and estimation of block structure in spatial weight matrix," LSE Research Online Documents on Economics 59898, London School of Economics and Political Science, LSE Library.
    15. Lenka Zbonakova & Wolfgang Karl Härdle & Weining Wang, 2016. "Time Varying Quantile Lasso," SFB 649 Discussion Papers SFB649DP2016-047, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    16. Hao, Meiling & Lin, Yunyuan & Zhao, Xingqiu, 2016. "A relative error-based approach for variable selection," Computational Statistics & Data Analysis, Elsevier, vol. 103(C), pages 250-262.
    17. Joel L. Horowitz, 2015. "Variable selection and estimation in high-dimensional models," Canadian Journal of Economics, Canadian Economics Association, vol. 48(2), pages 389-407, May.
    18. Caner, Mehmet & Fan, Qingliang, 2015. "Hybrid generalized empirical likelihood estimators: Instrument selection with adaptive lasso," Journal of Econometrics, Elsevier, vol. 187(1), pages 256-274.
    19. Guang Cheng & Hao Zhang & Zuofeng Shang, 2015. "Sparse and efficient estimation for partial spline models with increasing dimension," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(1), pages 93-127, February.
    20. Lee, Eun Ryung & Park, Byeong U., 2012. "Sparse estimation in functional linear regression," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 1-17.
    21. Lian, Heng, 2014. "Semiparametric Bayesian information criterion for model selection in ultra-high dimensional additive models," Journal of Multivariate Analysis, Elsevier, vol. 123(C), pages 304-310.
    22. Tata Subba Rao & Granville Tunnicliffe Wilson & Ngai Hang Chan & Ye Lu & Chun Yip Yau, 2017. "Factor Modelling for High-Dimensional Time Series: Inference and Model Selection," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(2), pages 285-307, March.
    23. Sakyajit Bhattacharya & Paul McNicholas, 2014. "A LASSO-penalized BIC for mixture model selection," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 8(1), pages 45-61, March.
    24. Yanxin Wang & Qibin Fan & Li Zhu, 2018. "Variable selection and estimation using a continuous approximation to the $$L_0$$ L 0 penalty," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 70(1), pages 191-214, February.
    25. Hu, Yuao & Lian, Heng, 2013. "Variable selection in a partially linear proportional hazards model with a diverging dimensionality," Statistics & Probability Letters, Elsevier, vol. 83(1), pages 61-69.
    26. Lian, Heng & Li, Jianbo & Tang, Xingyu, 2014. "SCAD-penalized regression in additive partially linear proportional hazards models with an ultra-high-dimensional linear part," Journal of Multivariate Analysis, Elsevier, vol. 125(C), pages 50-64.
    27. Ziqi Chen & Man-Lai Tang & Wei Gao & Ning-Zhong Shi, 2014. "New Robust Variable Selection Methods for Linear Regression Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(3), pages 725-741, September.
    28. Joel L. Horowitz, 2015. "Variable selection and estimation in high-dimensional models," CeMMAP working papers CWP35/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    29. Fei Wang & Lu Wang & Peter X.-K. Song, 2016. "Fused lasso with the adaptation of parameter ordering in combining multiple studies with repeated measurements," Biometrics, The International Biometric Society, vol. 72(4), pages 1184-1193, December.
    30. Wei Jiang & Rong Duan & Siu-Tong Au, 2012. "A Cointegration Model with Structure Breaks for Customer Migration Analysis," Service Science, INFORMS, vol. 4(1), pages 42-54, March.
    31. Yunxiao Chen & Xiaoou Li & Jingchen Liu & Zhiliang Ying, 2017. "Regularized Latent Class Analysis with Application in Cognitive Diagnosis," Psychometrika, Springer;The Psychometric Society, vol. 82(3), pages 660-692, September.
    32. Xia, Xiaochao & Liu, Zhi & Yang, Hu, 2016. "Regularized estimation for the least absolute relative error models with a diverging number of covariates," Computational Statistics & Data Analysis, Elsevier, vol. 96(C), pages 104-119.
    33. Wang, Tao & Zhu, Lixing, 2011. "Consistent tuning parameter selection in high dimensional sparse linear regression," Journal of Multivariate Analysis, Elsevier, vol. 102(7), pages 1141-1151, August.
    34. Zbonakova, L. & Härdle, W.K. & Wang, W., 2016. "Time Varying Quantile Lasso," Working Papers 16/07, Department of Economics, City University London.
    35. Katayama, Shota & Imori, Shinpei, 2014. "Lasso penalized model selection criteria for high-dimensional multivariate linear regression analysis," Journal of Multivariate Analysis, Elsevier, vol. 132(C), pages 138-150.
    36. Rui Li & Chenlei Leng & Jinhong You, 2017. "A Semiparametric Regression Model for Longitudinal Data with Non-stationary Errors," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 44(4), pages 932-950, December.
    37. Lian, Heng, 2012. "A note on the consistency of Schwarz’s criterion in linear quantile regression with the SCAD penalty," Statistics & Probability Letters, Elsevier, vol. 82(7), pages 1224-1228.
    38. Li, Kunpeng, 2017. "Fixed-effects dynamic spatial panel data models and impulse response analysis," Journal of Econometrics, Elsevier, vol. 198(1), pages 102-121.
    39. Hirose, Kei & Tateishi, Shohei & Konishi, Sadanori, 2013. "Tuning parameter selection in sparse regression modeling," Computational Statistics & Data Analysis, Elsevier, vol. 59(C), pages 28-40.

  4. Chi, Wei & Li, Bo, 2008. "Glass ceiling or sticky floor? Examining the gender earnings differential across the earnings distribution in urban China, 1987-2004," Journal of Comparative Economics, Elsevier, vol. 36(2), pages 243-263, June.

    Cited by:

    1. Deshpande, Ashwini & Goel, Deepti & Khanna, Shantanu, 2015. "Bad Karma or Discrimination? Male-Female Wage Gaps among Salaried Workers in India," IZA Discussion Papers 9485, Institute for the Study of Labor (IZA).
    2. Tamar Khitarishvili, 2016. "Two tales of contraction: gender wage gap in Georgia before and after the 2008 crisis," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-28, December.
    3. Sharma Smriti & Deshpande Ashwini, 2015. "Disadvantage and discrimination in self-employment: Caste gaps in earnings in Indian small businesses," WIDER Working Paper Series 067, World Institute for Development Economic Research (UNU-WIDER).
    4. Atencio,Andrea & Posadas,Josefina, 2015. "Gender gap in pay in the Russian Federation : twenty years later, still a concern," Policy Research Working Paper Series 7407, The World Bank.
    5. Gail Pacheco & Chao Li & Bill Cochrane, 2017. "Empirical evidence of the gender pay gap in NZ," Working Papers 2017-05, Auckland University of Technology, Department of Economics.
    6. Becchetti, Leonardo & Massari, Riccardo & Naticchioni, Paolo, 2013. "The Drivers of Happiness Inequality: Suggestions for Promoting Social Cohesion," IZA Discussion Papers 7153, Institute for the Study of Labor (IZA).
    7. Ahmed, Salma & McGillivray, Mark, 2015. "Human Capital, Discrimination, and the Gender Wage Gap in Bangladesh," World Development, Elsevier, vol. 67(C), pages 506-524.
    8. Thanh Bui & Katsushi S. Imai, 2017. "Determinants of Rural-urban Inequality in Vietnam: Detailed Decomposition Analyses Based on Unconditional Quantile Regressions," Discussion Paper Series DP2017-01, Research Institute for Economics & Business Administration, Kobe University, revised Jun 2017.
    9. Michael Weber & Jan Kluge, 2015. "Decomposing the German East-West wage gap," ERSA conference papers ersa15p636, European Regional Science Association.
    10. Zheng Fang & Chris Sakellariou, 2015. "Glass Ceilings versus Sticky Floors: Evidence from Southeast Asia and an International Update," Asian Economic Journal, East Asian Economic Association, vol. 29(3), pages 215-242, September.
    11. Nix, Emily & Gamberoni, Elisa & Heath, Rachel, 2014. "Bridging the gap : identifying what is holding self-employed women back in Ghana, Rwanda, Tanzania, the Republic of Congo, and Uganda," Policy Research Working Paper Series 6946, The World Bank.
    12. Christophe Nordman & Leopold R. Sarr & Smriti Sharma, 2015. "Cognitive, Non-Cognitive Skills and Gender Wage Gaps: Evidence from Linked Employer-Employee Data in Bangladesh," Working Papers DT/2015/19, DIAL (Développement, Institutions et Mondialisation).
    13. Booth, Alison L & Le, Huong Thu, 2010. "Inequality in Vietnamese Urban-Rural Living Standards, 1993-2006," CEPR Discussion Papers 7918, C.E.P.R. Discussion Papers.
    14. Chi, Wei & Li, Bo, 2012. "Trends in China’s gender employment and pay gap: estimating gender pay gaps with employment selection," MPRA Paper 42132, University Library of Munich, Germany.
    15. HARA Hiromi, 2016. "Glass Ceilings or Sticky Floors? An analysis of the gender wage gap across the wage distribution in Japan," Discussion papers 16099, Research Institute of Economy, Trade and Industry (RIETI).
    16. Matt L. Huffman & Joe King & Malte Reichelt, 2017. "Equality for Whom? Organizational Policies and the Gender Gap across the German Earnings Distribution," ILR Review, Cornell University, ILR School, vol. 70(1), pages 16-41, January.
    17. Tamar Khitarishvili, 2013. "Evaluating the Gender Wage Gap in Georgia, 2004 - 2011," Economics Working Paper Archive wp_768, Levy Economics Institute.
    18. Gustafsson, Björn Anders & Li, Shi & Nivorozhkina, Ludmila & Wan, Haiyuan, 2014. "Yuan and Roubles: Comparing Wage Determination in Urban China and Russia at the Beginning of the New Millennium," IZA Discussion Papers 8241, Institute for the Study of Labor (IZA).
    19. Gustafsson, Björn Anders & Li, Shi & Sato, Hiroshi, 2014. "Data for Studying Earnings, the Distribution of Household Income and Poverty in China," IZA Discussion Papers 8244, Institute for the Study of Labor (IZA).
    20. Lam, Kevin C.K. & McGuinness, Paul B. & Vieito, João Paulo, 2013. "CEO gender, executive compensation and firm performance in Chinese‐listed enterprises," Pacific-Basin Finance Journal, Elsevier, vol. 21(1), pages 1136-1159.
    21. Kampon Adireksombat & Zheng Fang & Chris Sakellariou, 2016. "The Evolution Of Gender Wage Differentials In Thailand: 1991–2007 — An Application Of Unconditional Quantile Regression," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(05), pages 1-30, December.
    22. Giles, John & Wang, Dewen & Park, Albert, 2013. "Expanding social insurance coverage in urban China," Policy Research Working Paper Series 6497, The World Bank.
    23. Liangshu Qi & Xiao-Yuan Dong, 2013. "Housework Burdens, Quality of Market Work Time, and Men’s and Women’s Earnings in China," Departmental Working Papers 2013-01, The University of Winnipeg, Department of Economics.
    24. Joanna Tyrowicz & Lucas van der Velde, 2017. "When the opportunity knocks: large structural shocks and gender wage gaps," GRAPE Working Papers 2, GRAPE Group for Research in Applied Economics.
    25. Castro Campos, Bente & Ren, Yanjun & Petrick, Martin, 2016. "The impact of education on income inequality between ethnic minorities and Han in China," China Economic Review, Elsevier, vol. 41(C), pages 253-267.

  5. Peter Bickel & Bo Li & Alexandre Tsybakov & Sara Geer & Bin Yu & Teófilo Valdés & Carlos Rivero & Jianqing Fan & Aad Vaart, 2006. "Regularization in statistics," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(2), pages 271-344, September.

    Cited by:

    1. Diego Vidaurre & Concha Bielza & Pedro Larrañaga, 2013. "A Survey of L 1 Regression," International Statistical Review, International Statistical Institute, vol. 81(3), pages 361-387, December.
    2. Michael Jansson & Demian Pouzo, 2017. "Some Large Sample Results for the Method of Regularized Estimators," Papers 1712.07248, arXiv.org.
    3. Demian Pouzo, 2015. "On the Non-Asymptotic Properties of Regularized M-estimators," Papers 1512.06290, arXiv.org, revised Oct 2016.
    4. Dimitris Politis, 2013. "Model-free model-fitting and predictive distributions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(2), pages 183-221, June.
    5. González, Ignacio & Déjean, Sébastien & Martin, Pascal G. P. & Baccini, Alain, 2008. "CCA: An R Package to Extend Canonical Correlation Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i12).
    6. van Wieringen, Wessel N. & Peeters, Carel F.W., 2016. "Ridge estimation of inverse covariance matrices from high-dimensional data," Computational Statistics & Data Analysis, Elsevier, vol. 103(C), pages 284-303.
    7. Campbell R. Harvey & Yan Liu, 2016. "Rethinking Performance Evaluation," NBER Working Papers 22134, National Bureau of Economic Research, Inc.
    8. Politis, Dimitris N, 2010. "Model-free Model-fitting and Predictive Distributions," University of California at San Diego, Economics Working Paper Series qt67j6s174, Department of Economics, UC San Diego.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 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-CNA: China (2) 2007-06-18 2007-07-07
  2. NEP-DEV: Development (2) 2007-06-18 2007-07-07
  3. NEP-TRA: Transition Economics (2) 2007-06-18 2007-07-07
  4. NEP-LAB: Labour Economics (1) 2007-06-18

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