Robust penalized quantile regression estimation for panel data
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Publication:736536
DOI10.1016/j.jeconom.2010.03.042zbMath1431.62161OpenAlexW2056617883MaRDI QIDQ736536
Publication date: 4 August 2016
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2010.03.042
Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Ridge regression; shrinkage estimators (Lasso) (62J07)
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Uses Software
Cites Work
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- Conditional growth charts. (With discussion and rejoinder)
- Multivariate regression models for panel data
- Pooling. An experimental study of alternative testing and estimation procedures in a two-way error component model
- Estimating the dimension of a model
- That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
- Limiting distributions for \(L_1\) regression estimators under general conditions
- Quantile regression for longitudinal data
- A study of logspline density estimation
- Weak convergence and empirical processes. With applications to statistics
- On the ``degrees of freedom of the lasso
- Quantile regression for longitudinal data using the asymmetric Laplace distribution
- L-Estimation for Linear Models
- Trimmed Least Squares Estimation in the Linear Model
- Tests of Linear Hypotheses and l"1 Estimation
- Atomic Decomposition by Basis Pursuit
- Semiparametric Regression
- Semiparametric Estimation of Regression Models for Panel Data
- Inference on the Quantile Regression Process
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