Date of Award
Master of Public Administration
This paper explores the relationship between income inequality and social assistance caseload within the context of London, Ontario from 1993 to 2013. Gini coefficients, social assistance caseload, and control variable data have been gathered and calculated using a multiple linear regression statistical analysis and academic investigation. The findings suggest that there is a 68 percent correlation between the regression model and the independent variable of social assistance caseload, with unemployment being the strongest explanatory variable. A negative relationship between income inequality and social assistance caseload variables was found, but important endogenous variables, such as policy interventions and macroeconomic cycles, have played an important role in altering this relationship. On the other hand, the Gini coefficient analysis reveals an important and growing income inequality gap in London. The academic research also demonstrated that most social assistance recipients have income levels that are below the poverty line.
Cardona, Juan, "The Effects of Income Inequality on Social Assistance Services Caseload: A Local Perspective of London, Ontario Using Multiple Linear Regression Statistical Model" (2016). MPA Major Research Papers. 153.