Small area housing stress estimation in Australia: Calculating confidence intervals for a spatial microsimulation model

DOI10.1080/03610918.2016.1241406zbMath1385.62002OpenAlexW2527180577MaRDI QIDQ4607399

Azizur Rahman

Publication date: 13 March 2018

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2016.1241406

zbMATH Keywords

small area estimationhousing stressconfidencel intervalmicrosimulation modellingspatial microsimulation

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Sampling theory, sample surveys (62D05)

Related Items (1)

Multi-level models can benefit from minimizing higher-order variations: an illustration using child malnutrition data

Uses Software

• SPSS
• bootstrap

Cites Work

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• New important developments in small area estimation
• Techniques for the control of chaos
• Simulating the characteristics of populations at the small area level: new validation techniques for a spatial microsimulation model in Australia
• Small Area Estimation and Microsimulation Modeling
• Calibration Estimators in Survey Sampling
• Small Area Estimation-New Developments and Directions
• The Performance of Risk Prediction Models
• Outlier Robust Small Area Estimation

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