Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/222788
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dc.titleTHE HOUSING MARKET EFFECT OF THE ANTI-SPECULATIVE MEASURES: EVIDENCE FROM SINGAPORE �S ABSD
dc.contributor.authorTANG QICHEN
dc.date.accessioned2017-12-11T05:43:12Z
dc.date.accessioned2022-04-22T18:16:18Z
dc.date.available2019-09-26T14:14:07Z
dc.date.available2022-04-22T18:16:18Z
dc.date.issued2017-12-11
dc.identifier.citationTANG QICHEN (2017-12-11). THE HOUSING MARKET EFFECT OF THE ANTI-SPECULATIVE MEASURES: EVIDENCE FROM SINGAPORE �S ABSD. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/222788
dc.description.abstractThe Global Financial crisis has had profound repercussions on Singapore’s private residential market, with a dramatic increase in property prices in 2009. The rapid ascent in property prices has stimulated the interest of speculators and raised concerns about the potential risk of a housing bubble. As a result, a bundle of anti-speculative measures has been initiated by the Singaporean government to curb irrational market activities and ensure the sustainable growth of the housing market. However, it was not until the seventh round of anti-speculative measures (R7), which can be distinguished by its revised Additional Buyer Stamp Duty (ABSD), that positive signals of market stabilization were observed. Nevertheless, it is worth noting that R7’s effect on housing prices varies across locations and submarkets. The aim of this study is to provide a deeper understanding of R7’s impact on geographical patterns of private residential prices as well as its varying impact across submarkets. The main methodology applied in this paper is Regression Discontinuity (RD), which makes this study the first in Singapore to use RD to discover the direction and magnitude of R7’s impact across planning regions and submarkets. The results show that, while the R7 policy has triggered a 7.31% drop in housing prices in the central region, it did not have a statistically significant impact on the peripheral region. R7’s impacts also varied with property types/characteristics. This is evident given that shoebox units showed the greatest price drop at 5.23% while non-shoebox units did not show themselves to be significantly affected. A different order polynomial has also been applied to check for robustness. The findings indicate that the R7 policy has accomplished its goal of reducing housing prices and promoting genuine home purchases since it effectively drove up the costs of speculation activities such as owning multiple homes.
dc.language.isoen
dc.sourcehttps://lib.sde.nus.edu.sg/dspace/handle/sde/4101
dc.subjectReal Estate
dc.subjectDiao Mi
dc.subject2017-2018 RE
dc.subjectAnti-speculative Measures
dc.subjectCooling Measures
dc.subjectABSD
dc.subjectAdditional Buyer’s Stamp Duty
dc.subjectCentral Region
dc.subjectPeripheral Region
dc.subjectShoebox Units
dc.subjectRegression Discontinuity Design
dc.subjectRD
dc.subjectRD Design
dc.subjectRE
dc.typeDissertation
dc.contributor.departmentREAL ESTATE
dc.contributor.supervisorDIAO MI
dc.description.degreeBachelor's
dc.description.degreeconferredBACHELOR OF SCIENCE (REAL ESTATE)
dc.embargo.terms2017-12-28
Appears in Collections:Bachelor's Theses

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