Utilizing logistic regression modeling to measure generational-age-cohort housing preferences in the District of Columbia

Authors

Latanya N. Brown-Robertson, Bowie State University
Daniel Muhammad, District of Columbia Office of the Chief Financial Officer, Office of Revenue Analysis
Charlotte Otabor, District of Columbia Office of the Chief Financial Officer, Office of Revenue Analysis

Abstract

This article discusses the concept of neighborhood change in the District of Columbia by exploring how changing in housing tenure decisions made by various age groups influence economic growth and stability in low-to moderate-income neighborhoods.

First Page

109

Last Page

124

Keywords

Consumers’ preferences - statistics, Housing - decision making - statistics

Recommended Citation

Brown-Robertson, L. N., Muhammad, D., & Otabor, C. (2017). Utilizing logistic regression modeling to measure generational-age-cohort housing preferences in the District of Columbia. Journal of Property Tax Assessment & Administration, 14(1), 109-124. Retrieved from https://researchexchange.iaao.org/jptaa/vol14/iss1/5