Improving small area estimation by combining surveys: new perspectives in regional statistics

Albert Satorra (), Eva Ventura and Alex Costa
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Albert Satorra: https://www.upf.edu/web/econ/faculty/-/asset_publisher/6aWmmXf28uXT/persona/id/3418605

Economics Working Papers from Department of Economics and Business, Universitat Pompeu Fabra

Abstract: A national survey designed for estimating a specific population quantity is sometimes used for estimation of this quantity also for a small area, such as a province. Budget constraints do not allow a greater sample size for the small area, and so other means of improving estimation have to be devised. We investigate such methods and assess them by a Monte Carlo study. We explore how a complementary survey can be exploited in small area estimation. We use the context of the Spanish Labour Force Survey (EPA) and the Barometer in Spain for our study.

Keywords: Composite estimator; complementary survey; mean squared error; official statistics; regional statistics; small area (search for similar items in EconPapers)
Date: 2006-06
New Economics Papers: this item is included in nep-ecm and nep-geo
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Persistent link: https://EconPapers.repec.org/RePEc:upf:upfgen:969

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