Defining housing market areas using commuting and migration algorithms.Catalonia (Spain) as an applied case study

Vicente Royuela and Miguel Vargas ()

No 200707, IREA Working Papers from University of Barcelona, Research Institute of Applied Economics

Abstract: In the literature on housing market areas, different approaches can be found to defining them, for example, using travel-to-work areas and, more recently, making use of migration data. Here we propose a simple exercise to shed light on which approach performs better. Using regional data from Catalonia, Spain, we have computed housing market areas with both commuting data and migration data. In order to decide which procedure shows superior performance, we have looked at uniformity of prices within areas. The main finding is that commuting algorithms present more homogeneous areas in terms of housing prices.

Pages: 20 pages
Date: 2007-04, Revised 2007-04
New Economics Papers: this item is included in nep-geo, nep-mig and nep-ure
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Citations: View citations in EconPapers (32)

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Persistent link: https://EconPapers.repec.org/RePEc:ira:wpaper:200707

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