eprintid: 3373
rev_number: 6
eprint_status: archive
userid: 4
dir: disk0/00/00/33/73
datestamp: 2020-09-30 08:46:59
lastmod: 2020-09-30 08:46:59
status_changed: 2020-09-30 08:46:59
type: thesis
metadata_visibility: show
creators_name: Keizer, Gijs
creators_id: 2409445
creators_email: g.f.keizer@student.rug.nl
title: Measuring housing bubbles: a case study on Amsterdam
ispublished: unpub
full_text_status: public
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.
date: 2020
thesis_type: master
degree_programme: VG
tutors_name: Duijn, M. van
keywords_local: housing
keywords_local: bubble
keywords_local: overvaluation
keywords_local: price-income ratio
keywords_local: price-rent ratio
language_iso: en
agreed_repository: yes
date_issued: 2020-09-30
citation:   Keizer, Gijs  (2020) Measuring housing bubbles: a case study on Amsterdam.  Master thesis.   
document_url: https://frw.studenttheses.ub.rug.nl/3373/1/Master_Thesis_Gijs_Keizer.pdf