Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/222984
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dc.titleTO INVESTIGATE WHETHER OR NOT POLICIES AND UNDERLYING FACTORS AFFECT HOUSING PRICES
dc.contributor.authorYANG WEI YUAN JUNE
dc.date.accessioned2010-11-12T13:01:09Z
dc.date.accessioned2022-04-22T18:22:43Z
dc.date.available2019-09-26T14:14:08Z
dc.date.available2022-04-22T18:22:43Z
dc.date.issued2010-11-12
dc.identifier.citationYANG WEI YUAN JUNE (2010-11-12). TO INVESTIGATE WHETHER OR NOT POLICIES AND UNDERLYING FACTORS AFFECT HOUSING PRICES. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/222984
dc.description.abstractThis study investigates the relationship between housing policy and price changes in the private residential market. Motivations behind governmental policies often result from a need to regulate this market to ensure a stable and sustainable market for both home seekers and developers. Demand and supply targeted policies are deployed to adjust market prices to maintain the private residential market in line with sound economic fundamentals. The time period of investigation spans from 1993Q1 to 2010Q3. Variables of interest are treated and tested to ensure that they are stationary and do not hold unwanted correlation relationships. These include key economic and real estate variables. The Augmented Dickey Fuller tests reveal the non-stationarity of certain variables of interest. A first-differenced vector autoregression (VAR) model is estimated to account for stationarity in the time series. The Breusch Godfrey test for the resulting model affirms that the variables of interest are not serially correlated. The results also reflect a stronger influence of those policies that are relatively weaker in nature but which on the whole also affect private residential prices. Policies that are stricter reflect less significance in affecting private residential prices. A volatility model was also formulated to help to further the understanding of the changes in the private residential price index in relation to the residential market uncertainty. The findings suggest that volatility of the Singapore private residential sector tend to correspond to those periods in time when residential prices are declining, and that government policy announcements tend to occur during changing volatility periods.
dc.language.isoen
dc.sourcehttps://lib.sde.nus.edu.sg/dspace/handle/sde/1309
dc.subjectReal Estate
dc.subjectHo Kim Hin David
dc.subject2010/2011 RE
dc.subjectAugmented Dickey Fuller test
dc.subjectBreusch Godfrey test
dc.subjectGovernment policy
dc.subjectHDB resale market
dc.subjectPrivate residential sector
dc.subjectSingapore
dc.subjectVolatility, vector autoregression (VAR)
dc.typeDissertation
dc.contributor.departmentREAL ESTATE
dc.contributor.supervisorHO KIM HIN DAVID
dc.description.degreeBachelor's
dc.description.degreeconferredBACHELOR OF SCIENCE (REAL ESTATE)
dc.embargo.terms2010-12-30
Appears in Collections:Bachelor's Theses

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