A Logit Regression Analysis of Homeowners in Nigeria
logit regression, home ownership, average monthly income, odds ratio, WLS-weighted least squares, OLS-ordinary least squares
Abstract
This paper studied the application of logit regression analysis to homeownership in Ado-Ekiti area of Ekiti State (Nigeria). The performance of the logit model in terms of classification of homeowners with respect to the average monthly income of some individuals was examined. The data of homeownership and income was fitted to the model by the WLS techniques. Result showed that the odds ratio in favour of owning a house by an individual whose average monthly income is 0.158 (N Million) was 1.0387. Also the probability of owning a house by the individual was 0.51.
Downloads
How to Cite
References
T Boehm, A Schlottman (1999) Does homeownership by parents have an economic impact on their children. 8, 217-232.
N Damodar, Gujarati (2003) Damodar GUJARATI. Basic Econometrics. McGraw-Hill, 1978.. 7(1), 595-607.
J Gyourko, P Linneman (1997) The changing influences of education income family structure and race on homeownership by age over time. 8, 1-25.
J Wojtek, Krzanowski (1998) An Introduction to Statistical Modelling.
N Ojo, M (1989) Analysis of Some Prison Data. 16(6), 377-383.
S Ogunleye, A Fagbohun (2009) A Logit Regression Analysis of some Tuberculosis Data. 4(1), 5.
Published
2013-05-06
Issue
Section
License
Copyright (c) 2013 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.