Open Conference Systems, ICQQMEAS2015

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SMALL AREA ESTIMATION: THEORY AND PRACTICE
Eleni Malapani, Stefanos G. Giakoumatos

Last modified: 2015-09-24

Abstract


In recent years, the demand for small area statistics has greatly increased worldwide. As a result, sample surveys are now used to produce estimates for large areas as well as small areas. The National Statistics Institute produces statistical estimates for these characteristics nationally and the design samples cannot provide reliable estimates at smaller geographical areas of the country. The solution to the above problem is the use of advanced statistical methods to produce estimates for small geographic areas (Small Area Estimation). In this paper we provide a summary of existing procedures in small area estimation (SAE) methods. Using routines in the statistical programming language R we apply the methods SAE to the results of Hellenic statistical authority (EL.STAT) on unemployment in Greece

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