Testing the Use of Multiple Regression Analysis and Rank Transformation Regression for Heritage Property Valuation
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The aim of this paper was to test the applicability of multiple regression analysis and rank transformation regression in assessing the values of private heritage property. The original dataset consists of 893 commercial properties transacted from 2004 to 2014 in Kelantan Malaysia. After filtration process, only 25 units of shophouse heritage property were available and valid to be used. The models have been constructed and their statistical performances have been compared. The results indicate that adopting statistical methods of valuation per se to overcome the issue of unavailability of market evidence could not solve the consequences of the limited data problem.
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Copyright (c) 2019 Junainah Mohamad, Suriatini Ismail, Abdul Hamid Mar Iman, Thuraiya Mohd
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Baum, C. F. (2006). An introduction to modern econometrics using Stata. Stata press.
Brooks, C., & Tsolacos, S. (2010). Real estate modelling and forecasting. Cambridge University Press. DOI: https://doi.org/10.1017/CBO9780511814235
Boyce, B. N., & Kinnard, W. N. (1984). Appraising real property. Lexington Books.
Brown, G. R., Matysiak, G. A., & Shepherd, M. (1998). Valuation uncertainty and the Mallinson Report. Journal of Property Research, 15(1), 1-13. DOI: https://doi.org/10.1080/095999198368473
Cronan, T., Epley, D., & Perry, L. (1986). The use of rank transformation and multiple regression analysis in estimating residential property values with a small sample. Journal of Real Estate Research, 1(1), 19-31. DOI: https://doi.org/10.1080/10835547.1986.12090514
Des Rosiers, F., Thériault, M., & Villeneuve, P. Y. (2000). Sorting out access and neighbourhood factors in hedonic price modelling. Journal of Property Investment & Finance, 18(3), 291-315. DOI: https://doi.org/10.1108/14635780010338245
Deddis, W. (2002). Development of a geographic information system for mass appraisal of residential property. RICS Education Trust, 1(1), 4.
Iman, A. H. M., & Chin, C. V. (2005). Modelling the Value of Location in the Prediction of Residential Property Value. Universiti Teknologi Malaysia.
Iman, R. L. (1974). A power study of a rank transform for the two‐way classification model when interaction may be present. Canadian Journal of Statistics, 2(1‐2), 227-239. DOI: https://doi.org/10.2307/3314695
International Valuation Standards. 2011.
Joslin, A. (2005). An investigation into the expression of uncertainty in property valuations. Journal of Property Investment & Finance, 23(3), 269-285. DOI: https://doi.org/10.1108/14635780510599476
Kim, J. (2005, January). The Performance Indicator of Industrial Property Market based on the Location Factors. Paper to be submitted to the 11th PRRES Annual Conference.
Kim, S., & Kim, H. (2016). A new metric of absolute percentage error for intermittent demand forecasts. International Journal of Forecasting, 32(3), 669-679. DOI: https://doi.org/10.1016/j.ijforecast.2015.12.003
Lazrak, F., Nijkamp, P., Rietveld, P., & Rouwendal, J. (2014). The market value of cultural heritage in urban areas: an application of spatial hedonic pricing. Journal of Geographical Systems, 16(1), 89-114. DOI: https://doi.org/10.1007/s10109-013-0188-1
McCluskey, W., Deddis, W. G., & Lamont, I. (1998). The application of spatially derived location factors within a GIS environment. In PRESS Eighth Annual Conference (Vol. 11).
Mohamad, J. (2012). Assessment of Property Values in Thin Market Using Rank Transformation Regression and Multiple Regression Analysis (Doctoral dissertation, Universiti Teknologi Malaysia).
Mohamad, J., Suriatini I., Rosdi A. R., & Ismail, A. R. (2015). Valuers’ Perception on the Current Practice of Heritage Property Valuation in Malaysia. In 21st Annual Pacific-Rim Real Estate Society Conference, Kuala Lumpur, Malaysia.
Montgomery, D. C. (2008). Design and analysis of experiments. John Wiley & Sons.
Moro, M., Mayor, K., Lyons, S., & Tol, R. S. (2013). Does the housing market reflect cultural heritage? A case study of Greater Dublin. Environment and Planning A, 45(12), 2884-2903. DOI: https://doi.org/10.1068/a45524
O’brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & Quantity, 41(5), 673-690. DOI: https://doi.org/10.1007/s11135-006-9018-6
Ruijgrok, E. C. M. (2006). The three economic values of cultural heritage: a case study in the Netherlands. Journal of cultural heritage, 7(3), 206-213. DOI: https://doi.org/10.1016/j.culher.2006.07.002
Ismail, S. (2005). Hedonic modelling of housing markets using geographical information system (GIS) and spatial statistics: a case study of Glasgow, Scotland(Doctoral dissertation, University of Aberdeen).
Thériault, M., Des Rosiers, F., Villeneuve, P., & Kestens, Y. (2003). Modelling interactions of location with specific value of housing attributes. Property Management, 21(1), 25-62. DOI: https://doi.org/10.1108/02637470310464472
VanVoorhis, C. W., & Morgan, B. L. (2007). Understanding power and rules of thumb for determining sample sizes. Tutorials in Quantitative Methods for Psychology, 3(2), 43-50. DOI: https://doi.org/10.20982/tqmp.03.2.p043
Wilson, R. B. (1993). Nonlinear pricing. Oxford University Press on Demand.
Yung, H. K., & 容曉君. (2007). HKU Theses Online (HKUTO) “Architectural Heritage Conservation in Hong Kong: An Empirical Analysis.” The University of Hong Kong (Pokfulam, Hong Kong). http://hub.hku.hk/bitstream/10722/52588/5/Abstract.pdf.