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Housing variables and immigration: an exploratory analysis in New York City

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A Correction to this article was published on 27 October 2023

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Abstract

The relationship between housing and immigration has become relevant in the U.S., especially in a highly populated metropolis such as New York City. Determining whether immigration status affects housing variables such as home ownership, rent, or housing cost could help understand the quality of life of NYC residents. Graphical exploration and spatial dependence tests of housing and immigration variables provide some insights about their relationships. Our exploration takes place at the borough and the sub-borough level.

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Acknowledgements

The authors would like to thank the Sections on Statistical Computing, Statistical Graphics, and Government Statistics of the ASA for providing the data used in these analyses. Data manipulations and visualizations were done in R (R Core Team 2019) and made use of the R packages “rgdal” (Bivand et al. 2019), “rgeos” (Bivand and Rundel 2014), “geojsonio” (Chamberlain and Teucher 2019), “rmapshaper” (Teucher and Russell 2018), “sp” (Bivand et al. 2013), “dplyr” (Wickham et al. 2019), “ggplot2” (Wickham 2016), “micromap” (Payton and Olsen 2015), “shiny” (Chang et al. 2020), “grid” (R Core Team 2019), and “LMShapemaker” (Probst 2020). The authors express their sincere gratitude to the administrative staff and faculty of the Utah State University Department of Mathematics and Statistics and the Utah State University Graduate School for providing financial support to attend JSM 2019.

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Authors and Affiliations

  1. Department of Mathematics and Statistics, University of South Florida, Tampa, USA

    Jhonatan Medri

  2. Department of Mathematics and Statistics, Utah State University, Logan, USA

    Braden D. Probst & Jürgen Symanzik

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  1. Jhonatan Medri
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Correspondence to Jhonatan Medri.

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The original online version of this article was revised as the affiliation details for Jürgen Symanzik was incorrectly given as 'University of South Florida' but should have been 'Utah State University'

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Medri, J., Probst, B.D. & Symanzik, J. Housing variables and immigration: an exploratory analysis in New York City. Comput Stat 38, 1687–1717 (2023). https://doi.org/10.1007/s00180-023-01412-x

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