Small Area Estimation

Roberto Benedetti, Federica Piersimoni and Paolo Postiglione ()
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Roberto Benedetti: “G. d’Annunzio” University of Chieti-Pescara
Federica Piersimoni: Italian National Statistical Institute, ISTAT

Chapter Chapter 11 in Sampling Spatial Units for Agricultural Surveys, 2015, pp 271-304 from Springer

Abstract: Abstract Sample survey methods are used to provide direct estimates for the total of variables of the population under investigation and for sub-populations or domains. An important aim of many statistical agencies is to efficiently estimate population characteristics for small domains or areas. The term small area typically refers to a small geographically defined domain such as a county, municipality, or administrative division, a spatial population, such as a type of crop or a particular economic activity, or a subgroup of people with the same sex, race, or other characteristics. In this chapter, we describe the problems and main methodologies of small area estimation, with applications to artificial and agricultural data.

Keywords: Good Linear Unbiased Prediction; Small Area Estimation; Small Area Level; Areal Interpolation; Synthetic Estimator (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-3-662-46008-5_11

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