Poisson mixed models for studying the poverty in small areas

DOI10.1016/j.csda.2016.10.014zbMath1466.62036OpenAlexW2537503981MaRDI QIDQ1658476

Miguel Boubeta, Domingo Morales, María José Lombardía

Publication date: 14 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2016.10.014

zbMATH Keywords

bootstrapmean squared errorempirical best predictorPoisson mixed modelstime dependencypoverty proportionmoment-based method

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Related Items (17)

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Uses Software

• saery

Cites Work

• Unnamed Item
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• Small Area Estimation
• Bootstrap mean squared error of a small-area EBLUP
• Consistent Estimators in Generalized Linear Mixed Models
• Multinomial-based small area estimation of labour force indicators
• Disaggregate-level estimates of indebtedness in the state of Uttar Pradesh in India: an application of small-area estimation technique
• Empirical best prediction for small area inference with binary data

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