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A statistical framework for analyzing housing quality: a case study of New York City

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  • Damien Chambon

    (University of Virginia)

  • Jacob Gerszten

    (University of Virginia)

Abstract

The physical condition of an occupant’s home represents a significant factor in determining the dweller’s overall quality of life. This paper provides a statistical framework for measuring housing quality in an urban area through a standardized index. This index is constructed using principal component analysis, incorporating demographic, geographic, and economic factors from the New York City Housing and Vacancy Survey. This metric allows for investigating differences in housing quality based upon ownership status. Analysis of the index demonstrates that renters face more housing quality issues than owners. Several of the index’s input variables driving these differences were found to exhibit varying effects on housing quality over time, possibly due to events such as the 2008 financial crisis. Implementing this novel statistical framework, housing quality indices can be constructed for other cities to examine housing disparities and inform policies aimed at improving quality of life for urban residents.

Suggested Citation

  • Damien Chambon & Jacob Gerszten, 2023. "A statistical framework for analyzing housing quality: a case study of New York City," Computational Statistics, Springer, vol. 38(4), pages 1669-1685, December.
    • Handle: RePEc:spr:compst:v:38:y:2023:i:4:d:10.1007_s00180-023-01394-w
    DOI: 10.1007/s00180-023-01394-w
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    References listed on IDEAS

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    1. Howard J. Sumka, 1977. "Measuring the Quality of Housing: An Econometric Analysis of Tax Appraisal Records," Land Economics, University of Wisconsin Press, vol. 53(3), pages 298-309.
    2. Dunn, James R. & Hayes, Michael V., 2000. "Social inequality, population health, and housing: a study of two Vancouver neighborhoods," Social Science & Medicine, Elsevier, vol. 51(4), pages 563-587, August.
    3. Corman, Hope & Mocan, Naci, 2005. "Carrots, Sticks, and Broken Windows," Journal of Law and Economics, University of Chicago Press, vol. 48(1), pages 235-266, April.
    4. Krieger, J. & Higgins, D.L., 2002. "Housing and health: Time again for public health action," American Journal of Public Health, American Public Health Association, vol. 92(5), pages 758-768.
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    Cited by:

    1. Daniel Goldstein & Elyzabeth Gaumer & Wendy Martinez, 2023. "The 2019 data challenge expo of the American Statistical Association," Computational Statistics, Springer, vol. 38(4), pages 1621-1627, December.

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