Introduction
Over the past three decades there is a growing demand in many countries for reliable estimates of small domain parameters such as means, counts, proportions or quantiles. Common examples include the estimation of unemployment rates, proportions of people under poverty, disease incidence and use of illicit drugs. These estimates are used for fund allocations, new social or health programs, and more generally, for short and long term planning. Recently, small area estimates are employed for testing, the administrative records used for modern censuses (see Census). Although commonly known as “small area estimation” (SAE), the domain of studies may actually consist of socio-demographic subgroups as defined, for example, by gender, age and race, or the intersection of such domains with geographical location.
The problem of SAE is that the sample sizes in at least some of the domains of study are very small, and often there are no samples available for many or even most of these...
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References and Further Reading
Battese GE, Harter RM, Fuller WA (1988) An error component model for prediction of county crop areas using survey and satellite data. J Am Stat Assoc 83:28–36
Fay RE, Herriot R (1979) Estimates of income for small places: an application of James Stein procedures to census data. J Am Stat Assoc 74:269–277
Ghosh M, Rao JNK (1994) Small area estimation: an appraisal (with discussion). Stat Sci 9:65–93
Jiang J, Lahiri P, Wan SM (2002) A unified jackknife theory for empirical best prediction with M-estimation. Ann Stat 30:1782–1810
Pfeffermann D (2002) Small area estimation – new developments and directions. Int Stat Rev 70:125–143
Pfeffermann D, Rao CR (eds) (2009) Handbook of statistics 29B. Sample surveys: inference and analysis. Elsevier, North Holland
Rao JNK (1999) Some recent advances in model-based small area estimation. Survey Methodol 25:175–186
Rao JNK (2003) Small area estimation. Wiley, New York
Rao JNK (2005) Inferential issues in small area estimation: some new developments. Stat Transit 7:513–526
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Pfeffermann, D. (2011). Small Area Estimation. In: Lovric, M. (eds) International Encyclopedia of Statistical Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04898-2_526
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DOI: https://doi.org/10.1007/978-3-642-04898-2_526
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