M-quantile models with application to poverty mapping

DOI10.1007/s10260-007-0070-8zbMath1367.62025OpenAlexW2018705929MaRDI QIDQ1019514

Monica Pratesi, Nicola Salvati, Ray Chambers, Nikos Tzavidis

Publication date: 2 June 2009

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-007-0070-8

zbMATH Keywords

quantile regressiondistribution functionrobust inferenceinequality measurepoverty assessment

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Linear regression; mixed models (62J05) Sampling theory, sample surveys (62D05)

Related Items (12)

Small area mean estimation after effect clustering ⋮ Marginal M-quantile regression for multivariate dependent data ⋮ Small area estimation under a spatially non-linear model ⋮ Small area estimation under a temporal bivariate area-level linear mixed model with independent time effects ⋮ Estimation and Testing in M‐quantile Regression with Applications to Small Area Estimation ⋮ A Comparison of Methods for Poverty Estimation in Developing Countries ⋮ Small Area Quantile Estimation ⋮ Interpolating Population Distributions using Public-Use Data: An Application to Income Segregation using American Community Survey Data ⋮ Three-fold Fay-Herriot model for small area estimation and its diagnostics ⋮ Spatial robust small area estimation ⋮ Outlier detection and robust estimation in linear regression models with fixed group effects ⋮ Small area estimation of expenditure means and ratios under a unit-level bivariate linear mixed model

Cites Work

• A Class of Decomposable Poverty Measures
• M-quantiles
• Estimating distribution functions from survey data
• Micro-Level Estimation of Poverty and Inequality
• M-quantile models for small area estimation

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