Speaker
Description
Long-term unemployment is a serious social problem with sustainable repercussions on society. This issue can be tackled by profiling jobseekers. Thus, the objective of this study is to create a profiling tool for jobseekers in Senegal. In other words, our study is to profile or identify jobseekers who have a higher risk of being unemployed for at least 12 months. Data from the National Employment Survey in Senegal (ENES-2019) was used to analyze jobseekers who were affected or not by this long unemployment. Firstly, we did a descriptive analysis of our study population to better understand their characteristics. Secondly, we looked for the existing relationships between the dependent variable of the study "long-term unemployed" and the independent variables which are: marital status, gender, being currently in school, the fact of having followed a vocational or technical training, the employment situation and the main obstacle encountered in the search for employment. Finally, a logistic modeling was done to see the factors that influence jobseekers to remain in unemployment.
Keywords: profiling, job seeker, logistics modelling
| Classification | Both methodology and application |
|---|---|
| Keywords | Senegal123 |