Abstract:
Unemployment is a significant macroeconomic issue that disproportionately affects individuals, with women constituting half of the global population. Despite the social and economic importance of women's employment, their participation in the workforce is consistently lower than men. In Ethiopia, government and development efforts have not been successful in significantly reducing women's unemployment rates, posing persistent social and economic challenges for the country. This study was aimed at identifying the major determinants of unemployment of women in Sheger city Burayu sub city of Oromia. The study adopted a cross sectional data of urban women unemployment. The data was collected by distributing questionnaires to a total of 140 women using two-stage sampling technique. Descriptive statistics with the help of pie-charts, tables, and percentages were used in analyzing the collected data. In addition to this logistic regression model was employed to analyze the collected data. The logistic regression included ten explanatory variables. The results from the binary logit model indicate that age, education level, income, job preference, and migration status are significant factors in determining urban women's unemployment. The econometric analysis suggests that the government should focus on creating jobs by identifying employment opportunities and promoting agricultural industrialization. Special attention should be given to women by offering diverse job opportunities and providing job training for those with lower levels of education. Empowering women and it is important to guide and enhance their participation in socio-economic conditions and create employment opportunities for women’s The results highlight the need for government intervention to create employment opportunities, industrialize agriculture, provide job training for less educated women, and empower women economically to address the persistent issue of women's unemployment in the region.
