Special issue on quantile regression and semiparametric methods

被引：5
|
作者：
He, Xuming [1 ]
Kneib, Thomas [2 ]
Lamarche, Carlos [3 ]
Wang, Lan [4 ]
机构：
[1] Univ Michigan, Ann Arbor, MI 48109 USA
[2] Georg August Univ Gottingen, Gottingen, Germany
[3] Univ Kentucky, Lexington, KY 40506 USA
[4] Univ Minnesota, Minneapolis, MN 55455 USA
来源：
ECONOMETRICS AND STATISTICS | 2018年 / 8卷
关键词：
D O I：
10.1016/j.ecosta.2018.09.002
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
引用
收藏
页码：1 / 2
页数：2
相关论文
共 50 条
  • [21] Semiparametric quantile Engel curves and expenditure elasticities: a penalized quantile regression spline approach
    Beatty, Timothy K. M.
    APPLIED ECONOMICS, 2009, 41 (12) : 1533 - 1542
  • [22] Predicting pollution incidents through semiparametric quantile regression models
    Roca-Pardinas, J.
    Ordonez, C.
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2019, 33 (03) : 673 - 685
  • [23] Model averaging for semiparametric varying coefficient quantile regression models
    Zhan, Zishu
    Li, Yang
    Yang, Yuhong
    Lin, Cunjie
    ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2023, 75 (04) : 649 - 681
  • [24] Estimating value at risk with semiparametric support vector quantile regression
    Shim, Jooyong
    Kim, Yongtae
    Lee, Jangtaek
    Hwang, Changha
    COMPUTATIONAL STATISTICS, 2012, 27 (04) : 685 - 700
  • [25] Quantile Regression and Homogeneity Identification of a Semiparametric Panel Data Model
    Li, Rui
    Li, Tao
    Su, Huacheng
    You, Jinhong
    JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2025,
  • [26] Model averaging for semiparametric varying coefficient quantile regression models
    Zishu Zhan
    Yang Li
    Yuhong Yang
    Cunjie Lin
    Annals of the Institute of Statistical Mathematics, 2023, 75 : 649 - 681
  • [27] Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm
    Kai, Bo
    Huang, Mian
    Yao, Weixin
    Dong, Yuexiao
    JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2023, 32 (04) : 1613 - 1623
  • [28] Adaptively weighted group Lasso for semiparametric quantile regression models
    Honda, Toshio
    Ing, Ching-Kang
    Wu, Wei-Ying
    BERNOULLI, 2019, 25 (4B) : 3311 - 3338
  • [29] Estimating value at risk with semiparametric support vector quantile regression
    Jooyong Shim
    Yongtae Kim
    Jangtaek Lee
    Changha Hwang
    Computational Statistics, 2012, 27 : 685 - 700
  • [30] Efficient semiparametric estimation of a partially linear quantile regression model
    Lee, S
    ECONOMETRIC THEORY, 2003, 19 (01) : 1 - 31
12345