English, Article, Journal or magazine article edition: Small-area estimation with spatial similarity Nicholas Longford

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Bookmark: http://trove.nla.gov.au/version/112026
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • Small-area estimation with spatial similarity
Author
  • Nicholas Longford
Physical Description
  • preprint
Notes
  • We derive a class of composite estimators of small-area quantities that exploit spatial (distance-related) similarity. They are based on a distribution-free model for the areas, but the estimators are aimed to have optimal design-based properties. Composition is applied also to estimating some of the global parameters on which the small-area estimators depend. We show that the commonly adopted assumption of random effects is not necessary for exploiting the similarity of the districts (borrowing strength across the districts). The methods are applied to estimation of the mean household sizes and the proportions of single-member households in the counties (comarcas) of Catalonia.
  • Auxiliary information, composite estimation, design-based estimator, exploiting similarity, model-based estimator, multivariate shrinkage, small-area estimation, spatial similarity
  • RePEc:upf:upfgen:1105
Language
  • English
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