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

DOI10.1007/S11749-014-0386-2zbMath1312.62114OpenAlexW1993061347MaRDI QIDQ5971063

Rebecca C. Steorts, Maria Dolores Ugarte

Publication date: 29 April 2015

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-014-0386-2

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

• sae

Cites Work

• New important developments in small area estimation
• Two-stage benchmarking as applied to small area estimation
• Spline smoothing in small area trend estimation and forecasting
• Bayesian benchmarking with applications to small area estimation
• Estimating the percentage of food expenditure in small areas using bias-corrected \(P\)-spline based estimators
• Single- and two-stage cross-sectional and time series benchmarking procedures for small area estimation
• Benchmarking small area estimators

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