TY - JOUR
T1 - Explaining variation in child labor statistics
AU - Dillon, Andrew
AU - Bardasi, Elena
AU - Beegle, Kathleen
AU - Serneels, Pieter
N1 - Funding Information:
We would like to thank Economic Development Initiatives, especially Joachim de Weerdt, the supervisory staff, enumerators and data entry teams for thorough work in the field. We also appreciate the thoughtful comments by three anonymous referees and the suggestions of the Editor, which improved the paper substantially. We thank the seminar participants at IZA Workshop on Child Labor and at the Conference “Survey Design and Measurement in Development Economics”, sponsored by the World Bank, the Enterprise Initiative, and Yale University for their comments and feedback. This work was supported by the World Bank Research Support Budget and the Gender Action Plan at PREM-Gender. All views are those of the authors and do not reflect the views of The World Bank or its member countries.
PY - 2012/5
Y1 - 2012/5
N2 - Child labor statistics are critical for assessing the extent and nature of child labor activities in developing countries. In practice, widespread variation exists in how child labor is measured. Questionnaire modules vary across countries and within countries over time along several dimensions, including respondent type and the structure of the questionnaire. Little is known about the effect of these differences on child labor statistics. This paper presents the results from a randomized survey experiment in Tanzania focusing on two survey design choices: different questionnaire design to classify children work and proxy response versus self-reporting. Use of a short module compared with a more detailed questionnaire has a statistically significant effect, especially on child labor force participation rates, and, to a lesser extent, on working hours. Proxy reports do not differ significantly from a child's self-report. Further analysis demonstrates that survey design choices affect the coefficient estimates of some determinants of child labor in a child labor supply equation. The results suggest that low-cost changes to questionnaire design will potentially clarify the concept of work for respondents.
AB - Child labor statistics are critical for assessing the extent and nature of child labor activities in developing countries. In practice, widespread variation exists in how child labor is measured. Questionnaire modules vary across countries and within countries over time along several dimensions, including respondent type and the structure of the questionnaire. Little is known about the effect of these differences on child labor statistics. This paper presents the results from a randomized survey experiment in Tanzania focusing on two survey design choices: different questionnaire design to classify children work and proxy response versus self-reporting. Use of a short module compared with a more detailed questionnaire has a statistically significant effect, especially on child labor force participation rates, and, to a lesser extent, on working hours. Proxy reports do not differ significantly from a child's self-report. Further analysis demonstrates that survey design choices affect the coefficient estimates of some determinants of child labor in a child labor supply equation. The results suggest that low-cost changes to questionnaire design will potentially clarify the concept of work for respondents.
KW - Child labor
KW - Survey design
KW - Tanzania
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U2 - 10.1016/j.jdeveco.2011.06.002
DO - 10.1016/j.jdeveco.2011.06.002
M3 - Article
AN - SCOPUS:84857796597
SN - 0304-3878
VL - 98
SP - 136
EP - 147
JO - Journal of Development Economics
JF - Journal of Development Economics
IS - 1
ER -