For this review, complete records of children, households and communities benefitting from different types of support to address and prevent child labour were available only from the ICI implemented CLMRS in Côte d’Ivoire. This section presents and discusses some figures on remediation given to children identified in child labour under the CLMRS, as a background for the analysis of remediation effectiveness (section xx of the report).
Appendix D: Stopping children from engaging in hazardous child labour – additional results
Table 1: Marginal effects from logit regression of whether a child stopped doing hazardous work on context factors at child, household and community level.
| Variables | (1) y1 | (2) y1 | (3) y1 | (4) y1 |
|---|---|---|---|---|
| Child's age | -0.0023 (0.0015) |
Table A1: Overview of the 15 projects reviewed in this report
How likely are child labourers identified by a CLMRS to stop working?
This section examines the likelihood of identifying children in child labour through monitoring visits. It looks at how different elements of system design and implementation – including who conducts monitoring visits, when, where and how – relate to the likelihood that a system can identify cases of child labour, so that later these children can receive support.
How do child labour identification rates vary across projects?
Appendix C: Characteristics of monitoring agents
Granular demographic information on monitoring agents was available for this review only for ICI implemented CLMRS in Côte d’Ivoire. This information was merged with the interview data collected in order to understand how the profiles of monitoring agents relate to the interview outcomes. In the ICI CLMRS data base, we have basic demographic information, with varying detail, of 2’246 community-based agents in Côte d’Ivoire who have been hired and trained for child labour data collection under the CLMRS.
What information is available about children in child labour?
To understand from the data how different CLMRS features and modalities affect a system’s outcomes and impacts, ICI requested CLMRS implementers to share anonymized extracts from child labour monitoring data, disaggregated at the child level. Four companies implementing CLMRS shared disaggregated data points from five different projects in Ghana and Côte d’Ivoire. These were compiled into one data set together with data from the ICI CLMRS data base from 7 different projects.