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House quality index construction and rent prediction in New York City with interactive visualization and product design

Author

Listed:
  • Xiang Shen

    (George Washington University)

  • Shunyan Luo

    (George Washington University)

  • Mingze Zhang

    (George Washington University)

Abstract

Housing is of primary importance for immigrants in New York City. This study analyzed the housing conditions of and price changes for residents in New York City from the NYCHVS survey over the past 30 years. First, a house condition index is defined through dimension reduction approach with a supervised framework. In addition, spatio-temporal information is leveraged to build a two-stage model to predict rent. Data visualization is utilized to show immigrant preferences interactively and provide information for both researchers and new residents to the city.

Suggested Citation

  • Xiang Shen & Shunyan Luo & Mingze Zhang, 2023. "House quality index construction and rent prediction in New York City with interactive visualization and product design," Computational Statistics, Springer, vol. 38(4), pages 1629-1641, December.
    • Handle: RePEc:spr:compst:v:38:y:2023:i:4:d:10.1007_s00180-023-01391-z
    DOI: 10.1007/s00180-023-01391-z
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    References listed on IDEAS

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    1. Glaeser, Edward L & Gyourko, Joseph & Saks, Raven, 2005. "Why Is Manhattan So Expensive? Regulation and the Rise in Housing Prices," Journal of Law and Economics, University of Chicago Press, vol. 48(2), pages 331-369, October.
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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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