Price prediction model of demand and supply in the housing market

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Title: Price prediction model of demand and supply in the housing market
Authors: Zainal, R
Ramli, F
Manap, N
Ali, M
Kasim, N
Mohd Noh, H
Shareh Mus, SM
Item Type: Conference Paper
Abstract: Over recent years, the imbalance between housing demand and supply, particularly in the high-cost housing segment, led to the rapid increase in the house prices. This paper has applied the standard theory of consumer demand and supply supplemented using content analysis method to explain the trend of housing demand and supply of housing market in Malaysia. Sampling in the quantitative content analysis is carried out to achieve the objective. Property Market Status Report in the NAPIC website provide a series data for total housing demand and supply for any house type of terrace, detached, cluster and townhouse in the price range between RM50,000 to RM300,000. All data provided cover from the first quarter until the fourth quarter across the year 2006 to 2015 specifically in Peninsular Malaysia only. Each level of the house price has a different equilibrium price so that developers can use it as an indicator based on the housing type. This research will promote ways to achieve the sustainabiliy in construction output overall so that the scholars can improve the equilibrium price model proposed in order to make the Malaysian housing become an affordable.
Issue Date: 20-Feb-2019
Date of Acceptance: 1-Jan-2019
URI: http://hdl.handle.net/10044/1/67362
DOI: 10.1051/matecconf/201926606015
ISSN: 2261-236X
Publisher: EDP Sciences
Journal / Book Title: MATEC Web of Conferences
Volume: 266
Sponsor/Funder: Ministry of Higher Education, Malaysia
Universiti Tun Hussein Onn Malaysia
Ministry of Higher Education, Malaysia
Ministry of Higher Education, Malaysia
Funder's Grant Number: R063
U243
1336
R061
Conference Name: International Conference on the Built Environment and Engineering
Publication Status: Published
Start Date: 2018-10-29
Finish Date: 2018-10-30
Conference Place: Johor Bahru, Malaysia
Online Publication Date: 2019-02-20
Appears in Collections:Centre for Environmental Policy
Faculty of Natural Sciences



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