Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/153168
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNg, Darren Kaiwenen_US
dc.contributor.authorNah, Hng Mengen_US
dc.date.accessioned2021-11-16T03:16:42Z-
dc.date.available2021-11-16T03:16:42Z-
dc.date.issued2021-
dc.identifier.citationNg, D. K. & Nah, H. M. (2021). Hedonic regression model : influence of housing characteristics and housing lease on HDB's resale price. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/153168en_US
dc.identifier.urihttps://hdl.handle.net/10356/153168-
dc.description.abstractSingapore is encountering an unprecedented situation of public housing flat lease decay. Some 665,000 public housing flats, or 62% of all public housing flats built by Housing Development Board (HDB) will be above aged 35 by 2025. In other words, these public housing flats have less than 65 years before the maturity of their lease. Yet, existing literature has been centred on the marginal effect of locational, neighbourhood, and structural variables to explain the HDB resale property prices. To fill the above literature gap, this paper aims to introduce housing lease years expired as a contractual variable and utilize a robust hedonic regression model to analyse housing lease relationship and its marginal contribution to resale HDB prices. The result shows that the contractual variable, in number of years lease expired, is a statistically significant variable and effects a decline in resale HDB prices. Moreover, additional analysis suggest that the effect of lease decay may even accelerate for older resale HDB flats.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.subjectSocial sciences::Economic theoryen_US
dc.titleHedonic regression model : influence of housing characteristics and housing lease on HDB's resale priceen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorSng Hui Yingen_US
dc.contributor.schoolSchool of Social Sciencesen_US
dc.description.degreeBachelor of Arts in Economicsen_US
dc.contributor.supervisoremailAHYSng@ntu.edu.sgen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
Appears in Collections:SSS Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
HE2AY2021_05_Final Report.pdf
  Restricted Access
643.56 kBAdobe PDFView/Open

Page view(s)

137
Updated on Jun 30, 2022

Download(s) 50

24
Updated on Jun 30, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.