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

Author

Listed:
  • Vicente Royuela

    (Faculty of Economics, University of Barcelona)

  • Miguel Vargas

    (Faculty of Economics and Business, Diego Portales University.)

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.

Suggested Citation

  • Vicente Royuela & Miguel Vargas, 2007. "Defining housing market areas using commuting and migration algorithms.Catalonia (Spain) as an applied case study," IREA Working Papers 200707, University of Barcelona, Research Institute of Applied Economics, revised Apr 2007.
    • Handle: RePEc:ira:wpaper:200707
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    References listed on IDEAS

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    1. Goodman, Allen C. & Thibodeau, Thomas G., 2003. "Housing market segmentation and hedonic prediction accuracy," Journal of Housing Economics, Elsevier, vol. 12(3), pages 181-201, September.
    2. Goodman, Allen C. & Thibodeau, Thomas G., 1998. "Housing Market Segmentation," Journal of Housing Economics, Elsevier, vol. 7(2), pages 121-143, June.
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