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The Stabilisation of Model Parameter Estimates from Repeated Surveys with Rare Observations
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2013 (English)In: Australian & New Zeeland Journal of Statistics, ISSN 1467-842X, Vol. 55, no 4, 471-491 p.Article in journal (Refereed) Published
Abstract [en]

In many surveys, the domains of study are small and the samples that carry information on a domain can be very small indeed. If the survey is conducted repeatedly there is often a high degree of overlap in samples over time. We show how to use the richness of information over time to compensate for the paucity of cross-sectional information. We propose a model-based estimator of the population total based on stabilised parameter estimates that combine information from different survey periods that are adjacent in time.  The motivating example for this research has been the ProdCom survey as implemented in the UK.

Place, publisher, year, edition, pages
2013. Vol. 55, no 4, 471-491 p.
Keyword [en]
business survey, combining repeated surveys, conditional ratio model, model-based analysis, ProdCom, small sample sizes
National Category
Probability Theory and Statistics
Research subject
URN: urn:nbn:se:su:diva-97144DOI: 10.1111/anzs.12056ISI: 000331068700008OAI: diva2:675857
Available from: 2013-12-04 Created: 2013-12-04 Last updated: 2014-03-10Bibliographically approved

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Hedlin, Dan
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Department of Statistics
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