Impact of Rented Houses on Household welfare in Developing Countries: An Empirical Study

Abstract

Household welfare is a big concern to all countries particularly in developing countries. However, if the aim of studying is not only improving the well-being of households who are currently poor, but also preventing people from becoming poor in the future, a new forward-looking perspective must be adopted. This study is applied descriptive statistics and binary logit model to investigate the impact of living in privately rented house on household poverty status (proxy to welfare) the logistic regression model has as dependent variable the poverty status (poor and non-poor). This study is based on cross section data. The result of the econometric model indicates that households living in privately rented house is significantly 3.571 times more likely currently poor than owner households; the married couples was found to be 5.228 times more likely poor compared to single household heads; income of the household negatively and household size positively and an education attainment of the household significantly negatively affect the household poverty status.