Modeling Income Data via New Parametric Quantile Regressions: Formulation, Computational Statistics, and Application

Modeling Income Data via New Parametric Quantile Regressions: Formulation, Computational Statistics, and Application

Income modeling is crucial in determining workers’ earnings and is an important research topic in labor economics. Traditional regressions based on normal distributions are statistical models widely applied. However, income data have an asymmetric behavior and are best modeled by non-normal distribu...

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Bibliographic Details
Main Authors: Helton Saulo, Roberto Vila, Giovanna V. Borges, Marcelo Bourguignon, Víctor Leiva, Carolina Marchant
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Mathematics
Subjects:
Birnbaum–Saunders distribution
Dagum distribution
income data and distributions
fractile regression
Singh–Maddala distribution
statistical reparameterizations
Online Access:https://www.mdpi.com/2227-7390/11/2/448

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https://www.mdpi.com/2227-7390/11/2/448

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