IDEAS home Printed from https://ideas.repec.org/a/ksp/journ6/v5y2018i1p18-24.html
   My bibliography  Save this article

What are the most important factors that influence the changes in London Real Estate Prices? How to quantify them?

Author

Listed:
  • Yiyang GU

    (Smart Cities and Urban Analytics, The Bartlett Centre for Advanced Spatial Analysis, UK.)

Abstract

In recent years, real estate industry has captured government and public attention around the world. The factors influencing the prices of real estate are diversified and complex. However, due to the limitations and one-sidedness of their respective views, they did not provide enough theoretical basis for the fluctuation of house price and its influential factors. The purpose of this paper is to build a housing price model to make the scientific and objective analysis of London's real estate market trends from the year 1996 to 2016 and proposes some countermeasures to reasonably control house prices. Specifically, the paper analyzes eight factors which affect the house prices from two aspects: housing supply and demand and find out the factor which is of vital importance to the increase of housing price per square meter. The problem of a high level of multicollinearity between them is solved by using principal components analysis.

Suggested Citation

  • Yiyang GU, 2018. "What are the most important factors that influence the changes in London Real Estate Prices? How to quantify them?," Journal of Economics Bibliography, KSP Journals, vol. 5(1), pages 18-24, March.
    • Handle: RePEc:ksp:journ6:v:5:y:2018:i:1:p:18-24
    as

    Download full text from publisher

    File URL: http://www.kspjournals.org/index.php/JEB/article/download/1609/1571
    Download Restriction: no
    File URL: http://www.kspjournals.org/index.php/JEB/article/view/1609
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carlos Martins-Filho & Okmyung Bin, 2005. "Estimation of hedonic price functions via additive nonparametric regression," Empirical Economics, Springer, vol. 30(1), pages 93-114, January.
    2. Frederic S. Mishkin, 2007. "Housing and the monetary transmission mechanism," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 359-413.
    3. James M. Poterba, 1991. "House Price Dynamics: The Role of Tax Policy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(2), pages 143-204.
    4. Min Hwang & John M. Quigley, 2006. "Economic Fundamentals In Local Housing Markets: Evidence From U.S. Metropolitan Regions," Journal of Regional Science, Wiley Blackwell, vol. 46(3), pages 425-453, August.
    5. Frederic S. Mishkin & Klaus Schmidt-Hebbel, 2001. "One Decade of Inflation Targeting in the World: What Do We Know and What Do We Need to Know?," NBER Working Papers 8397, National Bureau of Economic Research, Inc.
    6. Shiller, Robert J, 1990. "Speculative Prices and Popular Models," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 55-65, Spring.
    7. Chester Harris & Henry Kaiser, 1964. "Oblique factor analytic solutions by orthogonal transformations," Psychometrika, Springer;The Psychometric Society, vol. 29(4), pages 347-362, December.
    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. Yiyang Gu, 2018. "What are the most important factors that influence the changes in London Real Estate Prices? How to quantify them?," Papers 1802.08238, arXiv.org.
    2. Paloma Taltavull de La Paz, 2021. "Predicting housing prices. A long term housing price path for Spanish regions," LARES lares-2021-4dra, Latin American Real Estate Society (LARES).
    3. Green, Richard & Hendershott, Patric H., 1996. "Age, housing demand, and real house prices," Regional Science and Urban Economics, Elsevier, vol. 26(5), pages 465-480, August.
    4. Benítez-Silva, Hugo & Eren, Selçuk & Heiland, Frank & Jiménez-Martín, Sergi, 2015. "How well do individuals predict the selling prices of their homes?," Journal of Housing Economics, Elsevier, vol. 29(C), pages 12-25.
    5. Carmona, Juan & Lampe, Markus & Rosés, Joan R., 2011. "Spanish housing markets during the first phase of the rural-urban transition process," IFCS - Working Papers in Economic History.WH wp11-08, Universidad Carlos III de Madrid. Instituto Figuerola.
    6. Frederic S. Mishkin, 2007. "Will Monetary Policy Become More of a Science?," NBER Working Papers 13566, National Bureau of Economic Research, Inc.
    7. Jesse M. Abraham & Patric H. Hendershott, 1994. "Bubbles in Metropolitan Housing Markets," NBER Working Papers 4774, National Bureau of Economic Research, Inc.
    8. Charles Himmelberg & Christopher Mayer & Todd Sinai, 2005. "Assessing High House Prices: Bubbles, Fundamentals and Misperceptions," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 67-92, Fall.
    9. Hussain Mohammed A. Al Obaid, 2020. "Factors Determining Housing Demand in Saudi Arabia," International Journal of Economics and Financial Issues, Econjournals, vol. 10(5), pages 150-157.
    10. Yang, Zan & Wang, Songtao & Campbell, Robert, 2010. "Monetary policy and regional price boom in Sweden," Journal of Policy Modeling, Elsevier, vol. 32(6), pages 865-879, November.
    11. Gunther Maier & Shanaka Herath, 2009. "Real Estate Market Efficiency: A Survey of Literature," SRE-Disc sre-disc-2009_07, Institute for Multilevel Governance and Development, Department of Socioeconomics, Vienna University of Economics and Business.
    12. Anthony Owusu-Ansah, 2012. "Modelling the supply of new residential construction for local housing markets and estimation of housing supply price elasticities: The case of Aberdeen, UK," ERES eres2012_097, European Real Estate Society (ERES).
    13. M S Mohanty & Philip Turner, 2008. "Monetary policy transmission in emerging market economies: what is new?," BIS Papers chapters, in: Bank for International Settlements (ed.), Transmission mechanisms for monetary policy in emerging market economies, volume 35, pages 1-59, Bank for International Settlements.
    14. Engerstam, Sviatlana, 2020. "Macroeconomic determinants of apartment prices in Swedish and German cities," Working Paper Series 20/2, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    15. Oikarinen, Elias, 2009. "Household borrowing and metropolitan housing price dynamics - Empirical evidence from Helsinki," Journal of Housing Economics, Elsevier, vol. 18(2), pages 126-139, June.
    16. Yanchuan Mou & Qingsong He & Bo Zhou, 2017. "Detecting the Spatially Non-Stationary Relationships between Housing Price and Its Determinants in China: Guide for Housing Market Sustainability," Sustainability, MDPI, vol. 9(10), pages 1-17, October.
    17. Theresa Kuchler & Monika Piazzesi & Johannes Stroebel, 2022. "Housing Market Expectations," CESifo Working Paper Series 9665, CESifo.
    18. Lee, Boram & Rosenthal, Leonard & Veld, Chris & Veld-Merkoulova, Yulia, 2015. "Stock market expectations and risk aversion of individual investors," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 122-131.
    19. Wolfgang Brunauer & Stefan Lang & Nikolaus Umlauf, 2010. "Modeling House Prices using Multilevel Structured Additive Regression," Working Papers 2010-19, Faculty of Economics and Statistics, Universität Innsbruck.
    20. Paulo M.M. Rodrigues & Rita Fradique Lourenço, 2015. "House prices: bubbles, exuberance or something else? Evidence from euro area countries," Working Papers w201517, Banco de Portugal, Economics and Research Department.

    More about this item

    Keywords

    Real estate market; Real estate price.;

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • R33 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Nonagricultural and Nonresidential Real Estate Markets

    Statistics

    Access and download statistics

    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:ksp:journ6:v:5:y:2018:i:1:p:18-24. 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: Bilal KARGI (email available below). General contact details of provider: http://www.kspjournals.org .

    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.