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  • Child Labor

    The child labor evidence review examines the existing causal evidence on child labor and child work targeted for elimination. Child labor refers to the engagement of children in prohibited work. While the definition of child labor is guided by International Labour Organization (ILO) conventions and resolutions, there is no single definition across nations. Moreover, definitions may change over time, and the terminology and concepts used to categorize child labor (and to distinguish from working children) may be inconsistent in published studies and research reports. CLEAR acknowledges differing definitions of child labor by country but does not validate the definition of child labor or assess the validity of authors’ constructs within individual studies for the country in which the program or intervention being examined occurs. For each study in the review, CLEAR assesses the quality of the causal evidence and summarizes its approach, findings, and the intervention examined.

    Status: Literature reviewed in this topic area currently covers 2006 - 2018.

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CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.

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CLEAR Icon Key

Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.

  • High Causal Evidence

    High Causal Evidence Icon

    Strong evidence the effects are caused by the examined intervention.

  • Moderate Causal Evidence

    Moderate Causal Evidence Icon

    Evidence that the effects are caused to some degree by the examined intervention.

  • Low Causal Evidence

    Low Causal Evidence Icon

    Little evidence that the effects are caused by the examined intervention.

  • Causal Impact Analysis

    Causal Analysis (No Rating) Icon

    Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.

  • Descriptive Analysis

    Descriptive Analysis Icon

    Describes a program, policy, or intervention using qualitative or quantitative methods.

  • Implementation Analysis

    Implementation Analysis Icon

    Examines the implementation of a program, policy, or intervention.

  • Favorable

    The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.

    The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.

  • Mixed

    The study found some favorable and some unfavorable impacts in the outcome domain.

    The study found some favorable and some unfavorable impacts in the outcome domain.

  • None

    The study found no statistically significant impacts in the outcome domain.

    The study found no statistically significant impacts in the outcome domain.

  • Unfavorable

    The study found no statistically significant impacts in the outcome domain.

    The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.

  • Not applicable

    Not applicable because no outcomes were examined in the outcome domain.

    Not applicable because no outcomes were examined in the outcome domain.

  • Favorable - low evidence

    The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.

  • Mixed - low evidence

    The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.

  • None - low evidence

    The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.

  • Unfavorable - low evidence

    The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.