Small area estimates for cross-classifications

Authors: Zhang L-C.¹; Chambers R.L.²

Source: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 66, Number 2, April 2004 , pp. 479-496(18)

Publisher: Wiley-Blackwell

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Abstract:

Summary.

We develop a class of log-linear structural models that is suited to estimation of small area cross-classified counts based on survey data. This allows us to account for various associ- ation structures within the data and includes as a special case the restricted log-linear model underlying structure preserving estimation. The effect of survey design can be incorporated into estimation through the specification of an unbiased direct estimator and its associated covariance structure. We illustrate our approach by applying it to estimation of small area labour force characteristics in Norway.

Keywords: Contingency table; Generalized linear model; Iterative proportional fitting; Log-linear parameters; Mixed model; Model selection

Document Type: Research article

DOI: http://dx.doi.org/10.1111/j.1369-7412.2004.05266.x

Affiliations: 1: Statistics Norway, Oslo, Norway. 2: University of Southampton, UK

Publication date: 2004-04-01