Multivariate state space approach to variance reduction in series with level and variance breaks due to survey redesigns
Statistics Netherlands applies a design-based estimation procedure to produce road transportation figures. Frequent survey redesigns caused discontinuities in these series which obstruct the comparability of figures over time. Reductions in the sample size and changes in the sample design resulted in variance breaks and unacceptably large sampling errors in the recent part of the series. Both problems are addressed and solved simultaneously. Discontinuities and small sample sizes are accounted for by using a multivariate structural time series model that borrows strength over time and space. T... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2016 |
Reihe/Periodikum: | Balabay , O , van den Brakel , J A & Palm , F C 2016 , ' Multivariate state space approach to variance reduction in series with level and variance breaks due to survey redesigns ' , Journal of the Royal Statistical Society Series A-Statistics in Society , vol. 179 , no. 2 , pp. 377-402 . https://doi.org/10.1111/rssa.12117 |
Schlagwörter: | Common factor model / Discontinuities / Dutch Road Transportation Survey / Small area estimation / State space models / Survey redesign / MONTHLY UNEMPLOYMENT RATE / SMALL-AREA ESTIMATION / TIME / MODELS / BENCHMARKING / TRENDS |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-27051671 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://cris.maastrichtuniversity.nl/en/publications/430d3a63-72f9-457a-8e60-0885e285daf5 |