Factors Associated with Child Labour in Ethiopia: A Multilevel Model Approach
| dc.contributor.advisor | Tadesse, Mekonnen(Assestant Professer) | |
| dc.contributor.author | Mehari, Bekalu | |
| dc.date.accessioned | 2018-06-25T08:11:54Z | |
| dc.date.accessioned | 2023-11-09T14:29:19Z | |
| dc.date.available | 2018-06-25T08:11:54Z | |
| dc.date.available | 2023-11-09T14:29:19Z | |
| dc.date.issued | 2017-06 | |
| dc.description.abstract | Despite the world’s promises to care for every child, the scourge of child labour still leaves countless children deprived of their most basic rights. The causes of child labour remain debatable. Child labour is a complex problem whose roots are deeply embodied in cultural, social, political, and economic structures and traditions of societies. Child labour is a serious problem in the world today. The problem is very severe in Sub-Saharan African countries. Among the Sub-Saharan African countries, Ethiopia is one of the countries with a high incidence of child labour. The major objective of this study is to identify and examine the key factors associated with child labour in Ethiopia. The study focused on children aged between 5 and 14 years using the 2013-ENLFS cross-sectional dataset. Descriptive statistics, binary logistic regression and multilevel logistic regression were used for analysis. The observed sample data revealed that 32% of 5-14 years old children were engaged in child labour. The binary logistic regression analysis results revealed that region of residence, sex of the child, age of the child, place of residence, child’s relationship with the household head, literacy status of the household head, employment status of the household head and the household size are significant factors associated with child labor in Ethiopia. Conversely, school attendance of the child, marital status of the household head and sex of the household head were not associated with child labor. The results of the multilevel logistic regression indicated that the effect of place of residence varied across regions of Ethiopia. Keywords: Child Labor, Ethiopia, Multilevel Logistic Regression Models, Odds Ratio | en_US |
| dc.identifier.uri | http://10.90.10.223:4000/handle/123456789/3044 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Abeba university | en_US |
| dc.subject | Child Labour | en_US |
| dc.subject | Ethiopia | en_US |
| dc.subject | Multilevel Logistic Regression Models | en_US |
| dc.subject | Odds Ratio | en_US |
| dc.title | Factors Associated with Child Labour in Ethiopia: A Multilevel Model Approach | en_US |
| dc.type | Thesis | en_US |