Defining Housing Market Areas Using Commuting and Migration Algorithms
Catalonia (Spain) as a Case Study
Bibliographic Data
| ID | 10864409 |
|---|---|
| Authors | Vicente Royuela (0000-0002-7647-0063, AQR-IREA Research Group, University of Barcelona, Avda Diagonal, 690, Barcelona, 08034, Spain, corresponding author), Miguel A Vargas (0000-0002-7624-9756, Diego Portales University), Miguel Vargas (0000-0002-7875-4844, Diego Portales University, corresponding author) |
| Year | 2009 |
| Volume | 46 |
| Issue | 11 |
| Pages | 2381-2398 |
| Publication date | 2009-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Urban Studies (JOURNAL) |
| Journal identifiers | ISSN: 0042-0980 • E-ISSN: 1360-063X |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0042098009342600 |
| OpenAlex | W2025756121 |
| Language | EN |
| Citations received | 11 |
| References cited | 44 |
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. This paper proposes a simple exercise to shed light on which approach performs better. Using regional data for Catalonia, in Spain, housing market areas are computed with both commuting data and migration data. In order to decide which procedure shows superior performance, the uniformity of prices within areas is examined. The main finding is that commuting algorithms present more homogeneous areas in terms of housing prices
Algorithm · Econometrics · Economic geography · Economics · Geography · Homogeneous · Order (exchange · Regional science · Simple (philosophy · Work (physics · Computer Science · Engineering · Finance · Housing Market and Economics · Mathematics · Regional Economics and Spatial Analysis · Urban Transport and Accessibility
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| Unique citing works | 11 |
|---|---|
| Citations per year | 0,85 |
| Citation span | 2013 - 2025 (13) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 11 |