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| Content Provider | Springer Nature Link |
|---|---|
| Author | Kestens, Yan Thériault, Marius Des Rosiers, François |
| Copyright Year | 2005 |
| Abstract | This paper introduces household-level data into hedonic models in order to measure the heterogeneity of implicit prices regarding household type, age, educational attainment, income, and the previous tenure status of the buyers. Two methods are used for this purpose: a first series of models uses expansion terms, whereas a second series applies Geographically Weighted Regressions. Both methods yield conclusive results, showing that the marginal value given to certain property specifics and location attributes do vary regarding the characteristics of the buyer’s household. Particularly, major findings concern the significant effect of income on the location rent as well as the premium paid by highly-educated households in order to fulfil social homogeneity. |
| Starting Page | 61 |
| Ending Page | 96 |
| Page Count | 36 |
| File Format | |
| ISSN | 14355930 |
| Journal | Journal of Geographical Systems |
| Volume Number | 8 |
| Issue Number | 1 |
| e-ISSN | 14355949 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2005-11-15 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Hedonic modelling Implicit prices Heterogeneity GWR Household profile Simulation and Modeling Quantitative Geography Landscape/Regional and Urban Planning Computer Application in Social and Behavioral Sciences Geographical Information Systems/Cartography Regional Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth-Surface Processes Geography, Planning and Development Economics and Econometrics |
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