Building Logistic Regression Model to Identify Key Determinants of Poverty in Palestine

This paper aims to identify the key determinants of poverty which affect the poverty status of a household in Palestine since the implementation of the economic reform program. A logistic regression model will be used to identify the level of poverty faced by a household. We find that the chance of a household tripping to poverty increased due to large number of children less than 18 years, unemployed adults, and large dependency ratio. Moreover, refugee status, residential region, non-skilled or semi-skilled employee, and inadequate housing and sanitation facilities also play a significant role for increasing the likelihood of being a poor