Assessing wage status transition and stagnation using quantile transition regression

DOI10.1214/19-AOAS1304zbMath1439.62246OpenAlexW3016477636MaRDI QIDQ2179952

Ruoh-Rong Yu, Yi-Hau Chen, Chih-Yuan Hsu, Tsung-Wei Hung

Publication date: 13 May 2020

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.aoas/1587002669

zbMATH Keywords

longitudinal dataquantile regressiontransition probabilitypanel studyquantile association

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Causal inference from observational studies (62D20)

Related Items (1)

Assessing wage status transition and stagnation using quantile transition regression

Uses Software

• qrcm

Cites Work

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• Quantile regression for dynamic panel data with fixed effects
• Assessing wage status transition and stagnation using quantile transition regression
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• Parametric modeling of quantile regression coefficient functions
• A Hybrid Pairwise Likelihood Method
• Regression Quantiles
• Modelling multivariate binary data with alternating logistic regressions
• Marginal Regression Models for Clustered Ordinal Measurements
• Quantile Association Regression Models
• Standard errors and covariance matrices for smoothed rank estimators

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