Quantile-regression-based clustering for panel data
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Publication:2330746
DOI10.1016/j.jeconom.2019.04.005zbMath1456.62312OpenAlexW2938944163WikidataQ128073897 ScholiaQ128073897MaRDI QIDQ2330746
Huixia Judy Wang, Ying-ying Zhang, Zhong-yi Zhu
Publication date: 23 October 2019
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2019.04.005
Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Related Items (17)
Simultaneous Semiparametric Estimation of Clustering and Regression ⋮ Grouped Generalized Estimating Equations for Longitudinal Data Analysis ⋮ Group structure detection for a high‐dimensional panel data model ⋮ Regression‐based heterogeneity analysis to identify overlapping subgroup structure in high‐dimensional data ⋮ Latent group detection in functional partially linear regression models ⋮ Weighted expectile regression with covariates missing at random ⋮ Robust and smoothing variable selection for quantile regression models with longitudinal data ⋮ A multi-kink quantile regression model with common structure for panel data analysis ⋮ Multi-dimensional latent group structures with heterogeneous distributions ⋮ Large-Scale Generalized Linear Models for Longitudinal Data with Grouped Patterns of Unobserved Heterogeneity ⋮ Nonparametric Quantile Regression for Homogeneity Pursuit in Panel Data Models ⋮ Homogeneity and Sparsity Analysis for High-Dimensional Panel Data Models ⋮ Panel data models with time-varying latent group structures ⋮ Unnamed Item ⋮ On functional data analysis and related topics ⋮ \(K\)-expectiles clustering ⋮ Quantile Methods for Stochastic Frontier Analysis
Uses Software
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