@article{282c06b285674cb58e4e26477ccda93a,
title = "Child labour measurement: Whom should we ask?",
abstract = "Funding decisions to support vulnerable children are tied to child labour statistics, hence the importance of an accurate measurement. The author analyses whether the type of respondent plays an important role in explaining variations in child labour statistics. Using data from two sites in Tanzania, the analysis shows that “whom we ask” matters considerably when estimating the prevalence of child labour. The results suggest that prevalence increases by approximately 35 to 65 per cent when using child self-reports rather than proxy reports. This bias affects 14 to 31 per cent of the sample, depending on the indicator. Discrepancies decrease as the child ages and increase if proxy attitudes demonstrate opposition to child labour.",
keywords = "case study, child labour, data collecting, statistical source, Tanzania",
author = "Janzen, {Sarah A.}",
note = "Funding Information: * Assistant Professor of Economics, Department of Agricultural Economics and Economics, Montana State University, email: sarah.janzen@montana.edu.This research was made possible using the WEKEZA (Wezesha Ustawi, Endeleza, Kiwongo cha Elimu Kuzuia Ajira kea Watoto) baseline survey data collected by Savannas Forever Tanzania for the International Rescue Committee,World Vision,Kiota Women{\textquoteright}s Health and Development,the Tanga Youth Development Association and the Institute of Development Studies, with funding support from the United States Department of Labor and assistance from the National Institute for Medical Research-Muhimbili Medical Research Centre, United Republic of Tanzania. The author would like to specifically acknowledge the contributions of Susan James,Jovit Felix,Nai-Nancy Laiser,David Lawson,Andrew Ferdinands, Deborah Levison, Bernard Ngowi and Nike Start for research assistance and support during the survey implementation process. Mark Anderson, Paul Glewwe, David Lawson, Carly Urban and audiences at the University of Montana and the Economics of Global Poverty Conference provided helpful feedback. The author accepts responsibility for any errors that may subsist. Publisher Copyright: Copyright {\textcopyright} The author 2018 Journal compilation {\textcopyright} International Labour Organization 2018",
year = "2018",
month = jun,
doi = "10.1111/ilr.12041",
language = "English (US)",
volume = "157",
pages = "169--191",
journal = "International Labour Review",
issn = "0020-7780",
publisher = "International Labour Office",
number = "2",
}