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Internet Offer Prices for Flats and Their Determinants: A Cross Section of Large European Cities

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  • Konstantin A. Kholodilin

Abstract

In this paper, we construct a data set of Internet offer prices for flats in 48 large European cities from 24 countries. The data are collected in January - April 2012 from 33 websites, where the advertisements of flats for sale are placed. Using these data we investigate the determinants of the flat prices. Four factors are found to be relevant for the flats' price level: income per capita, population density, unemployment rate, and Gini index. The results are robust both to excluding variables and to applying two alternative estimation techniques: OLS and quantile regression. Based on our estimation results we are able to identify the cities, where the prices are overvalued, and those, where the prices are undervalued. This is a useful information that allows analyzing and comparing the housing markets in large European cities.

Suggested Citation

  • Konstantin A. Kholodilin, 2012. "Internet Offer Prices for Flats and Their Determinants: A Cross Section of Large European Cities," Discussion Papers of DIW Berlin 1212, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp1212
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    Cited by:

    1. Thomschke, Lorenz, 2015. "Changes in the distribution of rental prices in Berlin," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 88-100.
    2. Konstantin Kholodilin, 2015. "Speculative Bubbles in Urban Housing Markets in Germany," ERSA conference papers ersa15p67, European Regional Science Association.

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    More about this item

    Keywords

    Internet ads; flats' prices; large European cities; fundamental prices;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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