Properties of the beta regression model for small area estimation of proportions and application to estimation of poverty rates

DOI10.1080/03610926.2019.1570266OpenAlexW2913944171MaRDI QIDQ5077420

Ryan Janicki

Publication date: 18 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2019.1570266

zbMATH Keywords

small area estimationhierarchical Bayesbeta regressionSAIPE

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R

Cites Work

• Unnamed Item
• Unnamed Item
• Beta Regression for Modelling Rates and Proportions
• Mixed beta regression: a Bayesian perspective
• Hierarchical Bayes multivariate estimation of poverty rates based on increasing thresholds for small domains
• Small area estimation of the Gini concentration coefficient
• Inequalities for Beta and Gamma functions via some classical and new integral inequalities
• Small area estimation using unmatched sampling and linking models
• Inequalities for the Beta function
• On beta regression residuals
• Bivariate beta regression models: joint modeling of the mean, dispersion and association parameters
• Likelihood analysis for a class of beta mixed models
• Regression analysis of variates observed on (0, 1): percentages, proportions and fractions

This page was built for publication: Properties of the beta regression model for small area estimation of proportions and application to estimation of poverty rates