Tag Archives: Multinomial Logistics Model

The Use of Multinomial Logistic Regression Model to Build Housing Choice in Abuja (Published)

The study attempted the building of housing choice of residence of Abuja, Nigeria. Six (representing 10%) of the sixty-two political wards in Abuja were randomly selected without replacement. The selected wards were Gwarinpa, Kubwa, Gwagwalada Central, Kwali Central, Kuje Central and Abaji Central. In all, 893 buildings were selected, and questionnaires were administered on one household head in each building.  Socioeconomic characteristics of the households revealed that 82.4% of the residents were between the ages of 31 and 60 years. Also, 66% of the residents were males, while 34% were females. In addition, 37.7% of the residents were educated to the university level. Analysis of the factors of housing choice using Multinomial logistic regression  revealed that single, divorced as well as widowed people were more likely to make a housing choice in Kwali, Kuje or Abaji Ward instead of Gwarinpa than their married counterparts (OR = 5.27, p<0.05, 95% CI = 0.283-1.101). The study concluded that the general pattern of housing choice was based on housing location, quality and neighbourhood attributes as well as the socio-economic status of the choice maker.

Keywords: Concept of Housing, Housing Choice, Multinomial Logistics Model, Social Status., Social stratification