A Logistic Regression Analysis to Assist Welfare Recipients Attaining Employment

This study reports on an experiment using logistic regression to uncover the preponderant factors influencing likelihood of attaining employment by a welfare recipient in Broward County, Florida. Our considers whether profiling participants and tailoring workforce development services based their respective profiles can increase finding (Black et al., 2003). The finds that our econometric model predicted probability with reasonably strong reliability. is alignment Welfare Profiling Model Michigan’s (Barnow 2012; Eberts, 1997;2002) Factors Influencing AFDC Duration Labor Market Outcomes Research Study Texas (Schexnayder 1991). More specifically, results indicate education prior history are significant increasing departing from achieving employment. Furthermore, concludes number children, participant’s age, ethnicity also play role breaking away welfare. show assign individuals increases 11% 24% average. very encouraging since it motivates researchers perform further research this area study.