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

# metadata.dc.description.abstract[].value
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.

# metadata.dc.publisher[].value
Universitat de Barcelona. Institut de Recerca en Economia Aplicada Regional i Pública

# metadata.dc.rights[].value
cc-by-nc-nd, (c) Royuela Mora et al., 2007

# metadata.dc.source[].value
Documents de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA))

# metadata.dc.title[].value
Defining housing market areas using commuting and migration algorithms. Catalonia (Spain) as an applied case study