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

被引：2
|
作者：
Medri, Jhonatan [1 ]
Probst, Braden D. [2 ]
Symanzik, Juergen [1 ]
机构：
[1] Univ S Florida, Dept Math & Stat, Tampa, FL 33620 USA
[2] Utah State Univ, Dept Math & Stat, Logan, UT USA
来源：
COMPUTATIONAL STATISTICS | 2023年 / 38卷 / 4期
关键词：
Visualization; Housing cost; Home ownership; Rent; Spatial statistics; EDA; HOME-OWNERSHIP; AFFORDABILITY; INDICATORS; VALUES;
D O I：
10.1007/s00180-023-01412-x
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
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.
引用
收藏
页码：1687 / 1717
页数：31
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