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Closing the Rent Index Gap – A Quantitative Approach to Rental‐Sector Gentrification

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  • Selim Banabak

Abstract

This paper advocates for a greater emphasis on supply sided concepts such as the rent gap in the empirical operationalizations of gentrification. It provides a novel framework to identify rental‐sector gentrification areas through index construction by drawing on insights from the gentrification, rent gap, price index and hedonic regression literatures. The approach is highly adaptable to a variety of regulatory contexts and other housing market idiosyncrasies through the design of the underlying regression model. Drawing on data from the city of Vienna, local rent changes and their relationship to price‐effective transformations of the rental housing supply are quantified. After computing the respective indices, bivariate mapping is utilized to identify potential gentrification areas.

Suggested Citation

  • Selim Banabak, 2024. "Closing the Rent Index Gap – A Quantitative Approach to Rental‐Sector Gentrification," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 115(1), pages 64-80, February.
    • Handle: RePEc:bla:tvecsg:v:115:y:2024:i:1:p:64-80
    DOI: 10.1111/tesg.12607
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    1. Robert J. Hill & Daniel Melser, 2008. "Hedonic Imputation And The Price Index Problem: An Application To Housing," Economic Inquiry, Western Economic Association International, vol. 46(4), pages 593-609, October.
    2. W. Brunauer & S. Lang & P. Wechselberger & S. Bienert, 2010. "Additive Hedonic Regression Models with Spatial Scaling Factors: An Application for Rents in Vienna," The Journal of Real Estate Finance and Economics, Springer, vol. 41(4), pages 390-411, November.
    3. Goetzmann, William N & Spiegel, Matthew, 1997. "A Spatial Model of Housing Returns and Neighborhood Substitutability," The Journal of Real Estate Finance and Economics, Springer, vol. 14(1-2), pages 11-31, Jan.-Marc.
    4. Anglin, Paul M & Gencay, Ramazan, 1996. "Semiparametric Estimation of a Hedonic Price Function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 633-648, Nov.-Dec..
    5. Brett Christophers, 2022. "Mind the rent gap: Blackstone, housing investment and the reordering of urban rent surfaces," Urban Studies, Urban Studies Journal Limited, vol. 59(4), pages 698-716, March.
    6. Selim Banabak, 2023. "Neighbourhood rental market integration and private rent trajectories – evidence from the city of Vienna," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 27(2), pages 239-259, April.
    7. Sofie R. Waltl, 2016. "A hedonic house price index in continuous time," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 9(4), pages 648-670, October.
    8. Steven C. Bourassa, 1993. "The Rent Gap Debunked," Urban Studies, Urban Studies Journal Limited, vol. 30(10), pages 1731-1744, December.
    9. Robert Musil & Florian Brand & Hannes Huemer & Maximilian Wonaschütz, 2022. "The Zinshaus market and gentrification dynamics: The transformation of the historic housing stock in Vienna, 2007–2019," Urban Studies, Urban Studies Journal Limited, vol. 59(5), pages 974-994, April.
    10. Roger Andersson & Lena Magnusson Turner, 2014. "Segregation, gentrification, and residualisation: from public housing to market-driven housing allocation in inner city Stockholm," European Journal of Housing Policy, Taylor and Francis Journals, vol. 14(1), pages 3-29, January.
    11. D. Asher Ghertner, 2015. "Why gentrification theory fails in 'much of the world'," City, Taylor & Francis Journals, vol. 19(4), pages 552-563, August.
    12. Pace, R Kelley & Barry, Ronald & Clapp, John M. & Rodriquez, Mauricio, 1998. "Spatiotemporal Autoregressive Models of Neighborhood Effects," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 15-33, July.
    13. Jonathan Reades & Jordan De Souza & Phil Hubbard, 2019. "Understanding urban gentrification through machine learning," Urban Studies, Urban Studies Journal Limited, vol. 56(5), pages 922-942, April.
    14. Roger Andersson & Lena Magnusson Turner, 2014. "Segregation, gentrification, and residualisation: from public housing to market-driven housing allocation in inner city Stockholm," International Journal of Housing Policy, Taylor & Francis Journals, vol. 14(1), pages 3-29, January.
    15. Robert J. Hill, 2013. "Hedonic Price Indexes For Residential Housing: A Survey, Evaluation And Taxonomy," Journal of Economic Surveys, Wiley Blackwell, vol. 27(5), pages 879-914, December.
    16. Tamara Premrov & Matthias Schnetzer, 2023. "Social mix and the city: Council housing and neighbourhood income inequality in Vienna," Urban Studies, Urban Studies Journal Limited, vol. 60(4), pages 752-769, March.
    17. John M. Clapp, 2004. "A Semiparametric Method for Estimating Local House Price Indices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(1), pages 127-160, March.
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