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Smoothing Quantile Regressions

Published:2019-10-04 Issue:1 Volume:39 Page:338-357
ISSN:0735-0015
Container-title:Journal of Business & Economic Statistics
language:en
Short-container-title:Journal of Business & Economic Statistics

Author:

Fernandes Marcelo¹^ORCID,Guerre Emmanuel²,Horta Eduardo³

Affiliation:

1. Sao Paulo School of Economics, FGV, Rua Itapeva, 474/1003, Sao Paulo, SP, 01332-000, Brazil ();

2. School of Economics, University of Kent, Kennedy Building, Canterbury, Kent CT2 7NP, United Kingdom ();

3. Department of Statistics, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves, 9500, Porto Alegre, RS, 91501-970, Brazil ()

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/07350015.2019.1660177

Reference57 articles.

1. Conditional Inference With a Functional Nuisance Parameter

2. Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure

3. A Simple Adjustment for Bandwidth Snooping

4. A note on the estimation of a distribution function and quantiles by a kernel method

5. An Empirical Quantile Function for Linear Models with iid Errors

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2. Distributed estimation and inference for semiparametric binary response models;The Annals of Statistics;2024-06-01

3. Quantile regression and smoothed empirical likelihood for non-ignorable missing data based on semi-parametric response models;SCIENTIA SINICA Mathematica;2024-06-01

4. Constructing density forecasts from quantile regressions: Multimodality in macrofinancial dynamics;Journal of Applied Econometrics;2024-04-18

5. Penalized function-on-function linear quantile regression;Computational Statistics;2024-04-17

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