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Journal of Business & Economic Statistics Volume 39, 2021 - Issue 3
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Research Article

Nonparametric Quantile Regression Estimation With Mixed Discrete and Continuous Data

Degui Lia Department of Mathematics, University of York, York, UK
,
Qi Lib Department of Economics, Texas A&M University, College Station, TXCorrespondence[email protected]
&
Zheng Lic Department of Agricultural and Resource Economics, North Carolina State University, Raleigh, NC
Pages 741-756 | Published online: 16 Mar 2020

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Bo Kai, Mian Huang, Weixin Yao & Yuexiao Dong. (2023) Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm. Journal of Computational and Graphical Statistics 32:4, pages 1613-1623.
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Articles from other publishers (5)

Xiaorong Yang, Jia Chen, Degui Li & Runze Li. (2023) Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure. Journal of Business & Economic Statistics, pages 1-30.
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Tim Kutzker, Nadja Klein & Dominik Wied. (2023) Flexible specification testing in quantile regression models. Scandinavian Journal of Statistics.
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Luya Wang. (2022) Adaptive testing using data-driven method selecting smoothing parameters. Economics Letters 215, pages 110538.
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Xiaorui Wang, Guoyou Qin, Xinyuan Song & Yanlin Tang. (2021) Censored quantile regression based on multiply robust propensity scores. Statistical Methods in Medical Research 31:3, pages 475-487.
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Shaojun Guo, Yu Han & Qingsong Wang. (2021) Better nonparametric confidence intervals via robust bias correction for quantile regression. Stat 10:1.
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