CONSTRUCTING HOUSING PRICE INDEX FOR TERRACED PROPERTIES IN JOHOR BAHRU, MALAYSIA
DOI:
https://doi.org/10.21837/pm.v19i17.1015Keywords:
Housing market, housing price index, hedonic analysis, residential propertyAbstract
Housing is a country’s biggest asset. Hence, the pattern of the housing price index (HPI) is an important topic to gain insight into the housing market while identifying the prevailing housing issues. The determinants of housing price vary for each city and state based on the different characteristics in each location. Accordingly, HPI should consider the property’s quality differences. Besides, national HPI is insufficient and restricted to the housing price at the state level. Thus, the study focused on constructing a specified HPI model for different cities, districts, and states. Effective HPI can give parties a better idea of the current property market situation and act as an analytical tool in managing the sector. Specifically, the study aims to examine the relationship between the heterogeneity housing attributes and housing prices of the terraced properties in Johor Bahru, Malaysia. Additionally, the study provides detailed information on the key determinants of the housing price variation in Johor Bahru. Hedonic price analysis is useful in constructing HPI, expressing housing price as a function of vector property characteristics. Furthermore, HPI is constructed based on the yearly indices and by pooling the data into certain periods. The results show the percentage of variance explained by the factors of HPI for the terraced properties in Johor Bahru. Correspondingly, the underlying correlation between the tested housing attributes with the housing price is explained through the analysis results.Downloads
References
Abdul Rahman, S.N. et al. (2019). The Artificial Neural Network Model (ANN) for Malaysian Housing Market Analysis. Journal of the Malaysian Institute of Planners, 17(1), pp. 1-9.
Burhan, B. (2014). Spatial Mechanism of Hedonic Price Functions for Housing Submarket Analysis. Saga University: Ph.D Thesis.
Chandler, D. & Disney, R. (2014). Measuring House Prices: A Comparison of Different Indices. London: The Institute for Fiscal Studies.
Chen, M.C. & Patel, K. (1998). House Price Dynamics and Granger Causality: An Analysis of Taipei New Dwelling Market. Journal of The Asian Real Estate Society, 1(1), pp. 101-126.
Dorsey, R.E. et al. (2010). Hedonic Versus Repeat-Sales Housing Price Indexes For Measuring The Recent Boom-Bust Cycle. Journal of Housing Economics, 19(2), pp. 75-93.
Dziauddin, M.F., Ismail, K., & Othman, Z. (2015). Analysing The Local Geography Of The Relationship Between Residential Property Prices And Its Determinants. Bulletin of Geography: Socio-economic Series, 28, pp. 21-35.
Ebru, C. & Eban, A. (2009). Determinants of House Prices in Istanbul: A Quartile Regression Approach. Quality and Quantity, 45(2), pp. 305-317.
Fenwick, D. (2013). Uses of Residential Property Price Indices. in OECD, et al, Handbook on Residential Property Price Indices. Eurostat, Luxembourg. pp. 15-20.
Haron, R. & Ibrahim, K. (2019). Residential Property Price Hike and Speculation. Journal of the Malaysian Institute of Planners, 17(1), pp. 328-337.
Kassim, S., Redzuan, N.H. & Harun, N.Z. (2017). What Drives House Price in Malaysia? In Search of An Alternative Pricing Benchmark for Islamic Home Financing. Planning Malaysia: Journal of The Malaysian Institute of Planners, 15(4), pp. 21-34.
Laakso, S. & Loikkanen, H.A. (1995). Finnish Homes - Through Passages or Traps. Real Estate Economics, 23(4), pp. 475-495.
Lim, X.Y. et al. (2018). Factors Determining the Demand for Affordable Housing. Journal of the Malaysian Institute of Planners, 16(2), pp. 109-118.
Maclennan, D. (1994). A Competitive UK Economy: Challenges for Housing Policy. United Kingdom: Joseph Rowntree Foundation.
Md Yusof, A. & Ismail, S. (2012). Multiple Regressions in Analysing House Price Variations. Communicatios of the IBIMA.
Nagaraja, C.H., Brown, L.D. & Wachter, S.M. (2014). Repeat Sales House Price Index Methodology. Journal of Real Estate Literature, 22.
Osland, L. (2010). An Application of Spatial Econometrics in Relation to Hedonic House Price Modelling. Journal of Real Estate Research, 32(3), pp. 289-320.
Owusu-Ansah, A. & Abdulai, R.T. (2014). Producing Hedonic Price Indices for Developing Markets. Explicit Time Variable Versus Strictly Cross-Sectional Models. International Journal of Housing Markets and Analysis, 7(4), pp. 444-458.
Rosmera, N.A., Mohd Diah, M.L. & Omar, A.J. (2012). The Revisited of Malaysian House Price Index. Proceedings International Conference of Technology Management, Business and Entrepreneurship 2012. Melaka: Faculty of Technology Management, Business and Entrepreneurship. pp. 656-667.
Sutton, G.D. (2002). Explaining Changes in House Prices. BIS Quarterly Review September 2002, pp. 46-55.
Tan, T.H. (2010). The Impact of Neighborhood Types on The Prices of Residential Properties. Sunway Academic Journal, 7, pp. 77-88.
Watkins, C. (1999). Property Valuation and the Structure of Urban Housing Markets. Journal of Property Investment and Finance, 17(2), pp. 157-173.
Wilhelmsson, M. (2000). The Impact of Traffic Noise on The Values of Single-Family Houses. Journal of Environmental Planning and Management, 43(6), pp. 799-815.
Wood, R. (2005). A Comparison of UK Residential House Price Indices. in Bank for International Settlements (ed.). Real Estate Indicators and Financial Stability. Bank for International Settlements. pp. 212-227.
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