Keizer, Gijs (2020) Measuring housing bubbles: a case study on Amsterdam. Master thesis.
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Abstract
This research aims to identify which existing bubble detection method are able to identify a housing bubble in Amsterdam. To answer this question a sequential triangulation mixed methods approach is used to better understand housing bubbles and the drivers of housing bubbles. By using existing quantitative methods to identify a housing bubble in Amsterdam and a qualitative approach to pinpoint the drivers of a housing bubble, it became clear that the price-income ratio is the most suitable bubble detection method for Amsterdam. Besides identifying the most suitable bubble detection methods, the research also investigates if there was a housing bubble in Amsterdam between 2005 and 2015. The quantitative analysis shows that a housing bubble in Amsterdam appeared in 2008, but based on the qualitative analysis, the answer is not definitive. The results of this research have important policy implications in terms of how to detect bubble formation in Amsterdam.
| Item Type: | Thesis (Master) |
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| Degree programme: | Real Estate Studies |
| Supervisor: | Duijn, M. van |
| Date Deposited: | 30 Sep 2020 08:46 |
| Last Modified: | 30 Sep 2020 08:46 |
| URI: | https://frw.studenttheses.ub.rug.nl/id/eprint/3373 |
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