IDEAS home Printed from https://ideas.repec.org/a/vra/journl/v7y2018i2p184-191.html
   My bibliography  Save this article

Factoral Impact of House Prices in Bulgaria: Cross-Spectral Analysis

Author

Listed:
  • Dimitria Karadimova

    (University of Economics - Varna)

Abstract

The subject of research in this publication is the market house prices. They represent the real selling prices of dwellings (flats) free of charges, commissions, lawyers' fees and property transfer costs, whereas the house price index assesses the overall relative change in house prices in the current quarter compared to the previous one. The aim of this study is to assess the direction and intensity of the dependence between house prices and selected macro indicators such as the average gross monthly salary, monetary supply and the size of mortgage loans. The study period is from 2000 to 2018. The methodology is based on an analysis of the impact of the macro indicators on house price changes and on cross-spectral analysis to measure the degree of correspondence between their periodic components. The survey results show a statistically significant correlation between house prices and the macro indicators of money supply and mortgage loans. There is a close correlation between the periodic components of market house prices and the macro indicators. Matching wavelengths at which the phase spectrum measuring the degree of their correlation receives relatively low values is observed to be at a length of nine years.

Suggested Citation

  • Dimitria Karadimova, 2018. "Factoral Impact of House Prices in Bulgaria: Cross-Spectral Analysis," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 7(2), pages 184-191, November.
  • Handle: RePEc:vra:journl:v:7:y:2018:i:2:p:184-191
    as

    Download full text from publisher

    File URL: http://www.su-varna.org/izdanij/2018/EconomicSciencesSeries_2018_2/184-191.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    House prices; Salary; Money supply; Mortgage loans; Regression analysis; Cross-spectral analysis.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

    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:vra:journl:v:7:y:2018:i:2:p:184-191. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Pavel Petrov (email available below). General contact details of provider: https://edirc.repec.org/data/uevecea.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.