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Nowadays, education is considered an instrument that we use to eradicate poverty. It is also presumed as an indicator of modernization and a development realization tool. Education creates an opportunity to be employed in good positions in reducing unemployment. Scholars debate whether education reduces rural unemployment. Some scholars argue that education is a powerful weapon to reduce rural unemployment. Others encounter that education does not necessarily decrease rural unemployment. This paper describes the effects of schooling on rural unemployment in Ethiopia. We used a quantitative approach with a descriptive research design in this study. A sample of 8700 participants, based on the Ethiopian Central Statistics Agency data collected in 2021, was obtained. We used descriptive and probit models to analyze the data. The descriptive results showed that rural unemployment is unequally distributed based on education, sex, and regional states. The majority are still participating in the agriculture sector. Besides, the finding also reveals that lack of job opportunities, training, experience, and unrelated jobs to education in rural areas is the cause of unemployment. However, the probit model result shows that schooling has a statistically significant positive effect on employment. As a result, for a one-unit increase in education, the probability of employment increases by 0.15. It concludes that schooling is paramount in decreasing rural unemployment in Ethiopia if much attention is given. We recommend that the government should transform rural areas' activities from agricultural-oriented to services-oriented activities to create extensive job opportunities in rural areas for rural youths, especially educators. [ABSTRACT FROM AUTHOR]

This paper investigates household vulnerability to multidimensional poverty in Degu'a Tembien District. Cross-sectional data were collected randomly from 420 households from six rural villages. Vulnerability to multidimensional poverty was estimated using three-step FGLS. Finding shows that, on the one hand, households with greater social capital, financial capital and number of plots tend to be less vulnerable owing to their lower rates of expected multidimensional deprivation. On the other hand, households with better physical capital are found highly vulnerable with lower volatility of expected multidimensional deprivations. The analysis also shows that female-headed households are more vulnerable to future poverty than male-headed households. Household's who experienced drought, hailed rainfall and pest attack shocks were associated with increased vulnerability. Results also show that households that rely on savings, sale of livestock and formal borrowing of money following a shock were found to be less vulnerable to multidimensional poverty. Overall, 80 percent of households were vulnerable to multidimensional poverty and the probability of experiencing multidimensional poverty in the near future exceeds the current incidence of household multidimensional poverty. This implies the need to focus on reducing household vulnerability through social protection interventions rather than reducing observed multidimensional poverty. [ABSTRACT FROM AUTHOR]