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Estimating quantile-specific rental yields for residential housing in Sydney

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  • Waltl, Sofie R.

Abstract

Rental yields are widely used by investors, central bankers, researchers, and policy makers to assess and detect disorders in housing markets. This paper proposes a framework to measure rental yields across the distribution, time and space thus providing a comprehensive picture of housing markets. The two-step procedure based on hedonic quantile regression and propensity score matching is designed to fundamentally control for differences in house characteristics. The methodology is applied to micro-data on house transactions and asking rents in Sydney, Australia, between 2004 and 2014. The paper finds large temporal and spatial variation in rental yields, decreasing yields when moving from the low end of the distribution to the top end, and systematically larger yields when restricting the analysis to houses bought-to-let.

Suggested Citation

  • Waltl, Sofie R., 2018. "Estimating quantile-specific rental yields for residential housing in Sydney," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 204-225.
    • Handle: RePEc:eee:regeco:v:68:y:2018:i:c:p:204-225
    DOI: 10.1016/j.regsciurbeco.2017.10.011
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    Cited by:

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    2. Mahdieh Yazdani, 2021. "House Price Determinants and Market Segmentation in Boulder, Colorado: A Hedonic Price Approach," Papers 2108.02442, arXiv.org.
    3. Denisa Naidin & Sofie R. Waltl & Michael Ziegelmeyer, 2022. "Objectified Housing Sales and Rent Prices in Representative Household Surveys: the Impact on Macroeconomic Statistics," LISER Working Paper Series 2022-03, Luxembourg Institute of Socio-Economic Research (LISER).
    4. Ramzi Tarazi & Mohammad Zahid Hasan, 2019. "The Effect of Economic and Fundamental Factors on the Australian Property Performance," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 15(2), pages 155-184.
    5. Bonanno, Alessandro & Bimbo, Francesco & Costanigro, Marco & VIscecchia, Rosaria, 2018. "Do Geographic Indication Labels Pay off? Estimating GI’s implicit Price Dispersion in the Italian EVOO Market," 2018 Annual Meeting, August 5-7, Washington, D.C. 274203, Agricultural and Applied Economics Association.
    6. Anja M. Hahn & Konstantin A. Kholodilin & Sofie R. Waltl, 2020. "Forward to the Past: Short-Term Effects of the Rent Freeze in Berlin," Department of Economics Working Papers wuwp308, Vienna University of Economics and Business, Department of Economics.
    7. repec:grz:wpaper:2019-05 is not listed on IDEAS
    8. 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.
    9. 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.

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    More about this item

    Keywords

    Rental yield; Price-to-rent ratios; Hedonic models; Quantile regression; Housing markets;
    All these keywords.

    JEL classification:

    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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