Abstract

For an accurate and consistent evaluation of regional developments it is misleading to concentrate on administrative units. The use of functional economic areas is an essential step towards an efficient analysis when working with spatial data. The theory of spatial arbitrage suggests migration patterns as the best fitting data for the delineation of housing market areas. This article uses an algorithm to delineate housing market areas based on the county level. It combines the calculation of a migration interaction indicator with the AMOEBA clustering procedure. The example regions examined show a strong spatial relationship between housing and labour market areas.

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