TY - JOUR
T1 - Small area estimation - New developments and directions
AU - Pfeffermann, Danny
PY - 2002/4
Y1 - 2002/4
N2 - The purpose of this paper is to provide a critical review of the main advances in small area estimation (SAE) methods in recent years. We also discuss some of the earlier developments, which serve as a necessary background for the new studies. The review focuses on model dependent methods with special emphasis on point prediction of the target area quantities, and mean square error assessments. The new models considered are models used for discrete measurements, time series models and models that arise under informative sampling. The possible gains from modeling the correlations among small area random effects used to represent the unexplained variation of the small area target quantities are examined. For review and appraisal of the earlier methods used for SAE, see Ghosh & Rao (1994).
AB - The purpose of this paper is to provide a critical review of the main advances in small area estimation (SAE) methods in recent years. We also discuss some of the earlier developments, which serve as a necessary background for the new studies. The review focuses on model dependent methods with special emphasis on point prediction of the target area quantities, and mean square error assessments. The new models considered are models used for discrete measurements, time series models and models that arise under informative sampling. The possible gains from modeling the correlations among small area random effects used to represent the unexplained variation of the small area target quantities are examined. For review and appraisal of the earlier methods used for SAE, see Ghosh & Rao (1994).
KW - Best linear unbiased prediction
KW - Cross-sectional correlations
KW - Empirical Bayes
KW - Hierarchical Bayes
KW - Informative sampling
KW - Mixed models
KW - Time series models
UR - http://www.scopus.com/inward/record.url?scp=0036545241&partnerID=8YFLogxK
U2 - 10.1111/j.1751-5823.2002.tb00352.x
DO - 10.1111/j.1751-5823.2002.tb00352.x
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AN - SCOPUS:0036545241
SN - 0306-7734
VL - 70
SP - 125
EP - 143
JO - International Statistical Review
JF - International Statistical Review
IS - 1
ER -