Factors Associated With Child Labour In Ethiopia A Multilevel Model Approach

Despite the world’s promises to care for every child, the scourge of child labour still leavesrncountless children deprived of their most basic rights. The causes of child labour remainrndebatable. Child labour is a complex problem whose roots are deeply embodied in cultural,rnsocial, political, and economic structures and traditions of societies. Child labour is a seriousrnproblem in the world today. The problem is very severe in Sub-Saharan African countries.rnAmong the Sub-Saharan African countries, Ethiopia is one of the countries with a high incidencernof child labour. The major objective of this study is to identify and examine the key factorsrnassociated with child labour in Ethiopia. The study focused on children aged between 5 and 14rnyears using the 2013-ENLFS cross-sectional dataset. Descriptive statistics, binary logisticrnregression and multilevel logistic regression were used for analysis. The observed sample datarnrevealed that 32% of 5-14 years old children were engaged in child labour. The binary logisticrnregression analysis results revealed that region of residence, sex of the child, age of the child,rnplace of residence, child’s relationship with the household head, literacy status of the householdrnhead, employment status of the household head and the household size are significant factorsrnassociated with child labor in Ethiopia. Conversely, school attendance of the child, maritalrnstatus of the household head and sex of the household head were not associated with childrnlabor. The results of the multilevel logistic regression indicated that the effect of place ofrnresidence varied across regions of Ethiopia.rnKeywords: Child Labor, Ethiopia, Multilevel Logistic Regression Models, Odds Ratio

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