Date of Award:
Master of Science (MS)
Mathematics and Statistics
The relationship between housing and immigration has become relevant in the U.S., especially in a highly populated metropolis such as New York City (NYC). Determining whether immigration status affects home ownership percentage, household rent, or housing cost percentage could help understand the quality of life of NYC residents. Graphical exploration, spatial dependence tests, and spatial autoregressive models of housing and immigration variables provide some insights about their relationships. Our exploration takes place at some geographic subareas of NYC.
Our results first indicate that the housing and immigration data reports spatial dependence; values of a geographic subarea are related to values of other nearby subareas. In addition, we notice that an immigrant householder is less likely to own a home and more likely to pay a higher rent asa proportion of their income. This result is more apparent in the Bronx and Manhattan. However, being an immigrant can’t be associated with higher rent amounts since household rent depends more on other factors, such as the household income.
Cobos, Jhonatan Medri, "Housing Variables and Immigration: An Exploratory and Predictive Data Analysis in New York City" (2021). All Graduate Theses and Dissertations. 8210.
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