Modelling over and undercounts for design-based Monte Carlo studies in small area estimation: an application to the German register-assisted census

DOI10.1016/j.csda.2010.11.002zbMath1255.62023OpenAlexW2086828169MaRDI QIDQ1927067

Jan Pablo Burgard, Ralf T. Münnich

Publication date: 30 December 2012

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

Full work available at URL: https://doi.org/10.1016/j.csda.2010.11.002

zbMATH Keywords

random effectssmall area estimationMonte Carlo studiessynthetic register errors

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Monte Carlo methods (65C05) Applications of statistics (62P99)

Related Items (5)

Numerical solution of optimal allocation problems in stratified sampling under box constraints ⋮ Simulation and quality of a synthetic close-to-reality employer–employee population ⋮ Fast integer-valued algorithms for optimal allocations under constraints in stratified sampling ⋮ Special issue on small area estimation ⋮ Estimation of optimum sample size allocation: An illustration with body mass index for evaluating the effect of a dietetic supplement

Cites Work

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• Analytic and bootstrap approximations of prediction errors under a multivariate Fay-Herriot model
• Sample surveys: inference and analysis
• Mixed model prediction and small area estimation. (With comments of P. Hall, D. Morales, C. N. Morris, J. N. K. Rao, and J. L. Eltinge)
• M-quantile models for small area estimation

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