Abstract
Presently used weighting procedures for the Dutch Labor Force Survey are suspected not to correct sufficiently for bias due to nonresponse. In this paper, a new correction procedure is proposed that is based on post-stratification. Starting from small geographical units, i.e., ZIP code areas, homogeneous clusters of individuals are sought. For this purpose a two-stage strategy for cluster-analyzing the large number of ZIP code areas is presented. Because hierarchical clustering procedures cannot be applied to large numbers of objects, initial clusters of objects are sought by categorizing the cluster variables, in the first stage of the procedure. In the second stage, these initial clusters are further combined with an hierarchical procedure, resulting in a final classification. The two-stage procedure is applied to classify the ZIP code areas in the Netherlands with respect to socio-economic variables.
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References
Bethlehem, J.G. (1988). Reduction of nonresponse bias through regression estimation. Journal of Official Statistics, 4, 251–260.
Bethlehem, J.G. (1999). Weighting adjustment for ignorable nonresponse. Paper presented at the International Conference on Survey Nonresponse, October 28–31 1999, Portland, Oregon.
Huisman, M. (1999). Poststratificatie: Het clusteren van postcodegebieden in Nederland [in Dutch: Post-stratification: Clustering ZIP code areas in the Netherlands]. (Internal report 5543–99-RSM.) Voorburg: Statistics Netherlands.
Huisman, M. & Bethlehem, J.G. (1999). Hierarchical clustering of large data sets: Classification of ZIP code areas. (Research paper no. 9937.) Voorburg: Statistics Netherlands.
Jansen, M.E. & Bethlehem, J.G. (1979). An application of cluster analysis to geographical classification. (Research report 9613–79-M1.) Voorburg: Statistics Netherlands.
Little, R.J.A. & Rubin, D.B. (1987). Statistical Analysis with Missing Data. New York: Wiley.
Romesburg, H.C. (1984). Cluster Analyses for Researchers. London: Wadsworth, Inc.
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© 2000 Springer-Verlag Berlin Heidelberg
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Huisman, M. (2000). Post-stratification to correct for nonresponse: classification of ZIP code areas. In: Bethlehem, J.G., van der Heijden, P.G.M. (eds) COMPSTAT. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57678-2_41
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DOI: https://doi.org/10.1007/978-3-642-57678-2_41
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1326-5
Online ISBN: 978-3-642-57678-2
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