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House price determinants in Germany and Sweden - panel data analysis

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  • Sviatlana Anop

Abstract

Article has an aim to investigate the effects of macroeconomic indicators such as population, income levels, GDP, housing stock, interest rate and rent levels on house prices. Analysis is done by applying panel data methodology on regional data for major cities in Germany and Sweden and by using yearly observations from 1995 to 2009. Results confirm that population, GDP, income, housing stock, interest rate and price levels for other market segments have effects on housing prices. However, these effects can be different for certain indicators depending on market segment and model used.

Suggested Citation

  • Sviatlana Anop, 2011. "House price determinants in Germany and Sweden - panel data analysis," ERES eres2011_320, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:eres2011_320
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    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2011-320
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    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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