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

Xiang Shen (), Shunyan Luo and Mingze Zhang
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Xiang Shen: George Washington University
Shunyan Luo: George Washington University
Mingze Zhang: George Washington University

Computational Statistics, 2023, vol. 38, issue 4, No 2, 1629-1641

Abstract: 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.

Keywords: 2019 data expo; Index construction; Spatio-temporal regression; Data visualization (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s00180-023-01391-z

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