Abstract

There are so many factors that could result in extra marital affairs in the society. The well-known procedure in the study of extramarital affairs is a classical maximum likelihood method. A major drawback of classical estimation is the lack of incorporation of vital information into phenomena being modelled. This study examines Ray Fair’s model of extramarital affairs with Bayesian method of estimation through Gibbs sampler. The Gibbs sampler was used to fit a probit model that involves latent data. The results demonstrate that the Bayesian procedure is able to produce reliable results than other estimators with smaller errors.