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Abstract Details
Activity Number:
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182
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Government Statistics
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Abstract - #304267 |
Title:
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Housing Affordability for Low-Income Households in New Jersey, Maryland, and West Virginia: A Comparative Analysis
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Author(s):
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George Obsekov*+ and Claudia Hauck
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Companies:
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American College of Radiology and Rutgers University
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Address:
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890 Pebble Lane, Southampton, PA, 18966, United States
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Keywords:
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Comparative Analysis ;
Census Data ;
Lasso method ;
Elastic net ;
stepwise regressions ;
Descriptive statistic
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Abstract:
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The main purpose of this paper is to analyze affordability of housing among owner- and renter occupied units in New Jersey, Maryland and West Virginia so as establish which state is most affordable for low-income households. This was done through analyses of variables from the 2009 Census (Public Use Microdata Set). Descriptive statistics show significant differences in income levels and availability of affordable housing among the three states. Six predictive models of the odds of affordability - two models for each state- were constructed, and their differences were assessed. To identify smaller subsets of important variables, we employed several methods: the LASSO method, elastic net and stepwise regressions. In general, the number of persons in the household, the number of rooms in the house, and educational level and the seniority status of the head-of-household are most important p
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