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Switching between different area systems via simulated geocoordinates: A case study for student residents in Berlin

Marcus Groß, Ulrich Rendtel, Timo Schmid and Nikos Tzavidis

No 2018/2, Discussion Papers from Free University Berlin, School of Business & Economics

Abstract: The transformation of area aggregates between non-hierarchical area systems is a standard problem of official statistics. We introduce a new method which is based on kernel density estimates. It is a modification of the SEM algorithm proposed by Gross et al. (2016), which was used for the transformation of totals on rectangular areas to kernel densities estimates. As a by-product of the routine one obtains simulated geo-coordinates for each unit. With the help of these geo-coordinates it is possible to calculate case numbers for a new area system. The method is applied to student resident figures from Berlin. These are known only at the level of ZIP codes but they are needed for administrative planning districts. Our method is evaluated on a similar, simulated data set with known exact geo-coordinates. In the empirical part results for changes in the student residential areas between 2005 and 2015 are presented. It is demonstrated that the transformation via kernel density estimates offers additional useful features to display concentration areas.

Keywords: Choropleths; Grid Maps; Kernel Density Estimation; Geo-Coordinates (search for similar items in EconPapers)
Date: 2018
New Economics Papers: this item is included in nep-geo
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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