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Changes in the distribution of rental prices in Berlin

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  • Thomschke, Lorenz

Abstract

In this paper, I analyze the distribution of rental prices in Berlin using quantile estimates and decomposition methods. These methods have been rarely applied in the field of housing economics but have proven to offer relevant insights into the evolution of price distributions. The shift of rental prices from 2007 to 2012 is split into portions caused by changes in the distributions of the explanatory variables and by changes in their coefficients over time. Two main results stand out: firstly, quantile estimates illustrate the constraint of a mean regression as most coefficients differ substantially between quantiles; secondly, coefficients are the primary source of temporal difference in the distribution of rental prices. On the other hand, changing properties of flats being offered affect the increase in the rental price distribution relatively little.

Suggested Citation

  • Thomschke, Lorenz, 2015. "Changes in the distribution of rental prices in Berlin," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 88-100.
    • Handle: RePEc:eee:regeco:v:51:y:2015:i:c:p:88-100
    DOI: 10.1016/j.regsciurbeco.2015.01.001
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    Cited by:

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    2. Bernd Fitzenberger & Benjamin Fuchs, 2017. "The Residency Discount for Rents in Germany and the Tenancy Law Reform Act 2001: Evidence from Quantile Regressions," German Economic Review, Verein für Socialpolitik, vol. 18(2), pages 212-236, May.
    3. Sieger, Lisa & Weber, Christoph, 2023. "Inefficient markets for energy efficiency? – The efficiency premium puzzle in the German rental housing market," Energy Policy, Elsevier, vol. 183(C).
    4. Marcelo Cajias & Philipp Freudenreich & Anna Freudenreich, 2020. "Exploring the determinants of real estate liquidity from an alternative perspective: censored quantile regression in real estate research," Journal of Business Economics, Springer, vol. 90(7), pages 1057-1086, August.
    5. Süleyman Taşpınar & Osman DoĞan & Jiyoung Chae & Anil K. Bera, 2021. "Bayesian Inference in Spatial Stochastic Volatility Models: An Application to House Price Returns in Chicago," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1243-1272, October.
    6. Zhang, Lei & Yi, Yimin, 2018. "What contributes to the rising house prices in Beijing? A decomposition approach," Journal of Housing Economics, Elsevier, vol. 41(C), pages 72-84.
    7. Beimer, Waldemar & Maennig, Wolfgang, 2020. "On the price gap between single family houses and apartments," Journal of Housing Economics, Elsevier, vol. 49(C).
    8. Sören Gröbel, 2018. "Regional heterogeneity in age-related housing depreciation rates [Regionale Heterogenität altersbedingter Wertminderungen von Wohnimmobilien]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 38(2), pages 219-254, October.
    9. Ivan Jeliazkov & Shubham Karnawat & Mohammad Arshad Rahman & Angela Vossmeyer, 2023. "Flexible Bayesian Quantile Analysis of Residential Rental Rates," Papers 2305.13687, arXiv.org, revised Sep 2023.
    10. Hu, Lirong & He, Shenjing & Han, Zixuan & Xiao, He & Su, Shiliang & Weng, Min & Cai, Zhongliang, 2019. "Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies," Land Use Policy, Elsevier, vol. 82(C), pages 657-673.
    11. Qin, Yu & Zhu, Hongjia & Zhu, Rong, 2016. "Changes in the distribution of land prices in urban China during 2007–2012," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 77-90.
    12. Konstantin A. Kholodilin & Fernando A. López & David Rey Blanco & Pelayo González Arbués, 2022. "Lessons from an Aborted Second-Generation Rent Control in Catalonia," Discussion Papers of DIW Berlin 2008, DIW Berlin, German Institute for Economic Research.
    13. Eva M. Berger & Felix Schmidt, 2017. "Inattention in the Rental Housing Market: Evidence from a Natural Experiment," Working Papers 1716, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 06 Sep 2019.

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    More about this item

    Keywords

    Housing market; Rental prices; Quantile regression; Counterfactual distribution; Decomposition;
    All these keywords.

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R33 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Nonagricultural and Nonresidential Real Estate Markets
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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