IDEAS home Printed from https://ideas.repec.org/a/ukm/jlekon/v53y2019i3p117-128.html
   My bibliography  Save this article

Constructing an Enhanced House Price Index Model: Empirical Evidence

Author

Listed:
  • Nik Mohd Sukrri, Nik Nor Amalina

    (Faculty of Business and Accountancy University of Selangor Shah Alam Selangor MALAYSIA)

  • Abd. Wahab, Norazlina

    (Islamic Business School Universiti Utara Malaysia Sintok 06010 Kedah MALAYSIA)

  • Mohd. Yusof, Rosylin

    (Universiti Utara Malaysia Kuala Lumpur 50300 Kuala Lumpur MALAYSIA)

Abstract

The objective of this study is to construct an enhanced house price index model in Malaysia. Having reviewed the current model of the Malaysian House Price Index (MHPI), it is currently found that this index is constructed based on the demand-driven variables. Previous studies explained that both macroeconomic factors (income levels, interest rates, and labor market) and supply factors are included in the construction of the house price index. This study begins by examining the determinants of the existing house price index in Malaysia. This study employs the Autoregressive Distributed Lag Model (ARDL) to discover the short and long-run dynamics between the variables. The study considers the quarterly data from the first quarter of 2008 to the fourth quarter of 2017. The findings reveal that construction cost (CC) and housing loan (HLN) are significant in determining HPI while Overnight Policy Rate (OPR) and land supply (LS) are insignificant with HPI. Then, the housing loan was found to be the most significant variable in determining HPI in Malaysia. Hence, we propose a new enhanced house price index that incorporates new demand and supply variables, by using the Laspeyres approach to calculate the new enhanced HPI. The analysis shows that the enhanced house price index has also recorded the same trend but with a lower value of prices as compared to the current MHPI. This enhanced HPI model may reflect the real situation of the housing market in Malaysia and it is expected to increase the affordability of the society in fulfilling their basic needs. This study may provide evidence for the involved parties to have some policy ramifications to further monitor and take appropriate measures to control the prices of property.

Suggested Citation

  • Nik Mohd Sukrri, Nik Nor Amalina & Abd. Wahab, Norazlina & Mohd. Yusof, Rosylin, 2019. "Constructing an Enhanced House Price Index Model: Empirical Evidence," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 53(3), pages 117-128.
    • Handle: RePEc:ukm:jlekon:v:53:y:2019:i:3:p:117-128
    DOI: http://dx.doi.org/10.17576/JEM-2019-5303-9
    as

    Download full text from publisher

    File URL: http://www.ukm.my/jem/wp-content/uploads/2021/05/jeko_533-9.pdf
    Download Restriction: no
    File URL: https://libkey.io/http://dx.doi.org/10.17576/JEM-2019-5303-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. repec:eme:ijhma0:ijhma-03-2017-0025 is not listed on IDEAS
    2. Mr. R. S Craig & Mr. Changchun Hua, 2011. "Determinants of Property Prices in Hong Kong SAR: Implications for Policy," IMF Working Papers 2011/277, International Monetary Fund.
    3. Panos Pashardes & Christos S. Savva, 2009. "Factors Affecting House Prices in Cyprus: 1988-2008," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 3(1), pages 3-25, June.
    4. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    5. Nicholas Longford, 2009. "A house price index defined in the potential outcomes framework," Economics Working Papers 1175, Department of Economics and Business, Universitat Pompeu Fabra.
    6. repec:eme:ijhma0:ijhma-09-2018-0070 is not listed on IDEAS
    7. Zhang, Lei & Yi, Yimin, 2017. "Quantile house price indices in Beijing," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 85-96.
    8. Dan Andrews, 2010. "Real House Prices in OECD Countries: The Role of Demand Shocks and Structural and Policy Factors," OECD Economics Department Working Papers 831, OECD Publishing.
    9. de Vries, Paul & de Haan, Jan & van der Wal, Erna & Mariën, Gust, 2009. "A house price index based on the SPAR method," Journal of Housing Economics, Elsevier, vol. 18(3), pages 214-223, September.
    10. Palmquist, Raymond B, 1980. "Alternative Techniques for Developing Real Estate Price Indexes," The Review of Economics and Statistics, MIT Press, vol. 62(3), pages 442-448, August.
    11. I-Chun Tsai, 2012. "Housing Supply, Demand and Price: Construction Cost, Rental Price and House Price Indices," Asian Economic Journal, East Asian Economic Association, vol. 26(4), pages 381-396, December.
    12. Jinhai Yan & Lei Feng & Helen X. H. Bao, 2010. "House Price Dynamics: Evidence from Beijing," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 5(1), pages 52-68, March.
    13. Zheyu Li & Muhammad Najib Razali & Hassan Gholipour Fereidouni & Yasmin Mohd. Adnan, 2018. "Macro-economic index effect on house prices in China," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 11(3), pages 453-475, March.
    14. repec:eme:ijhma0:17538271011027050 is not listed on IDEAS
    15. Dennis R. Capozza & Charlotte Mack & Patric H. Hendershott & Christopher J. Mayer, 2002. "The Determinants of House Price Dynamics," ERES eres2002_106, European Real Estate Society (ERES).
    16. Elizabeth Watson, 2013. "A closer look at some of the supply and demand factors influencing residential property markets," Reserve Bank of New Zealand Analytical Notes series AN2013/11, Reserve Bank of New Zealand.
    17. Satish Mohan & Alan Hutson & Ian MacDonald & Chung Chun Lin, 2019. "Impact of macroeconomic indicators on housing prices," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 12(6), pages 1055-1071, May.
    18. Yongzhou Hou, 2010. "Housing price bubbles in Beijing and Shanghai?," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 3(1), pages 17-37, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alessio Ciarlone, 2015. "House price cycles in emerging economies," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 32(1), pages 17-52, March.
    2. Philip Arestis & Ana Rosa Gonzalez‐Martinez, 2019. "Economic precariousness: A new channel in the housing market cycle," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(2), pages 1030-1043, April.
    3. Kelly, Robert & McQuinn, Kieran, 2013. "On the hook for impaired bank lending: Do sovereign-bank inter-linkages affect the fiscal multiplier?," Research Technical Papers 01/RT/13, Central Bank of Ireland.
    4. Andrew A. Alola & Simplice A. Asongu & Uju V. Alola, 2019. "House prices and tourism development in Cyprus: A contemporary perspective," Working Papers 19/067, European Xtramile Centre of African Studies (EXCAS).
    5. Mei Liu & Qing-Ping Ma, 2021. "Determinants of house prices in China: a panel-corrected regression approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 47-72, August.
    6. Robert Kelly & Kieran McQuinn, 2014. "On the Hook for Impaired Bank Lending: Do Sovereign-Bank Interlinkages Affect the Net Cost of a Fiscal Stimulus?," International Journal of Central Banking, International Journal of Central Banking, vol. 10(3), pages 95-128, September.
    7. Jérôme Vandenbussche & Ursula Vogel & Enrica Detragiache, 2015. "Macroprudential Policies and Housing Prices: A New Database and Empirical Evidence for Central, Eastern, and Southeastern Europe," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 343-377, March.
    8. Karasoy, Alper, 2022. "Is innovative technology a solution to Japan's long-run energy insecurity? Dynamic evidence from the linear and nonlinear methods," Technology in Society, Elsevier, vol. 70(C).
    9. Bruce Morley, 2009. "A Comparison of Two Alternative Monetary Approaches to Exchange Rate Determination over the Long-Run," International Econometric Review (IER), Econometric Research Association, vol. 1(2), pages 63-76, April.
    10. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2015. "Economic growth with coal, oil and renewable energy consumption in China: Prospects for fuel substitution," Economic Modelling, Elsevier, vol. 44(C), pages 104-115.
    11. Villanthenkodath, Muhammed Ashiq & Mahalik, Mantu Kumar, 2021. "Does economic growth respond to electricity consumption asymmetrically in Bangladesh? The implication for environmental sustainability," Energy, Elsevier, vol. 233(C).
    12. Shahbaz, Muhammad & Hoang, Thi Hong Van & Mahalik, Mantu Kumar & Roubaud, David, 2017. "Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis," Energy Economics, Elsevier, vol. 63(C), pages 199-212.
    13. Noraida, A.W. & Abdul-Rahim, A.S. & Othman, Mohd, 2017. "The Impact of Sustainable Forest Management (SFM) Practices on Primary Timber-Based Production in Peninsular Malaysia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 51(2), pages 143-154.
    14. Georgios Bertsatos & Plutarchos Sakellaris & Mike G. Tsionas, 2022. "Extensions of the Pesaran, Shin and Smith (2001) bounds testing procedure," Empirical Economics, Springer, vol. 62(2), pages 605-634, February.
    15. Md.Yousuf & Raju Ahmed & Nasrin Akther Lubna & Shah Md. Sumon, 2019. "Estimating the Services Sector Impact on Economic Growth of Bangladesh: An Econometric Investigation," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 7(2), pages 62-72, June.
    16. Nasreen, Samia & Anwar, Sofia & Ozturk, Ilhan, 2017. "Financial stability, energy consumption and environmental quality: Evidence from South Asian economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1105-1122.
    17. Muhammad Shafiullah & Ravinthirakumaran Navaratnam, 2016. "Do Bangladesh and Sri Lanka Enjoy Export-Led Growth? A Comparison of Two Small South Asian Economies," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 17(1), pages 114-132, March.
    18. Shuyang Chen, 2021. "The Urbanisation Impacts on the Policy Effects of the Carbon Tax in China," Sustainability, MDPI, vol. 13(12), pages 1-11, June.
    19. Boukraine, Wissem, 2020. "The finance-inequality nexus in the BRICS countries: evidence from an ARDL bound testing approach," MPRA Paper 101976, University Library of Munich, Germany.
    20. Garrod Brian & Almeida António & Machado Luiz, 2023. "Modelling of nonlinear asymmetric effects of changes in tourism on economic growth in an autonomous small-island economy," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 13(2), pages 154-172, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ukm:jlekon:v:53:y:2019:i:3:p:117-128. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Muhammad Asri Abd Ghani (email available below). General contact details of provider: https://edirc.repec.org/data/feukmmy.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.