Comments on: ``Single and two-stage cross-sectional and time series benchmarking procedures for small area estimation

DOI10.1007/S11749-014-0384-4zbMath1312.62111OpenAlexW2025705979MaRDI QIDQ5971062

Domingo Morales

Publication date: 29 April 2015

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-014-0384-4

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Sampling theory, sample surveys (62D05)

Uses Software

• saery

Cites Work

• Two-stage benchmarking as applied to small area estimation
• Benchmarked estimates in small areas using linear mixed models with restrictions
• Analytic and bootstrap approximations of prediction errors under a multivariate Fay-Herriot model
• Small area estimation of poverty proportions under area-level time models
• Bootstrap mean squared error of a small-area EBLUP
• Small‐area estimation by combining time‐series and cross‐sectional data
• Multinomial-based small area estimation of labour force indicators
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