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

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    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?," Working Papers Central Bank of Chile 101, Central Bank of Chile.
    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.
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    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

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