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Activity Number: 28 - SPEED: Data Challenge Part 1
Type: Contributed
Date/Time: Sunday, July 28, 2019 : 2:00 PM to 3:50 PM
Sponsor: Government Statistics Section
Abstract #305132
Title: An Analysis of Immigrants and House Condition in New York City
Author(s): Xiang Shen* and Mingze Zhang and Shunyan Luo
Companies: George Washington University and George Washington University and George Washington University
Keywords: 2019 Data Expo; Index Construction; Spatial Temporal Regression; Data Visualization

Housing is of primary importance for immigrants in New York City. The study analyzed the house conditions and price changes of residents in New York City from NYCHVS survey during the past 30 years. Firstly, a house condition index is summarized by dimension reduction approach. In addition, we established a two-stage predictive model on the rent with spatial temporal information as well as house condition. Data visualization is utilized to show immigrant's preference and provide information for new residents to settle down in the city.

Authors who are presenting talks have a * after their name.

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