Explaining variation in child labor statistics
AbstractChild 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.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Development Economics.
Volume (Year): 98 (2012)
Issue (Month): 1 ()
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Web page: http://www.elsevier.com/locate/devec
Child labor; Survey design; Tanzania;
Other versions of this item:
- Dillon, Andrew & Bardasi, Elena & Beegle, Kathleen & Serneels, Pieter, 2010. "Explaining Variation in Child Labor Statistics," IZA Discussion Papers 5156, Institute for the Study of Labor (IZA).
- Dillon, Andrew & Bardasi, Elena & Beegle, Kathleen & Serneels, Pieter, 2010. "Explaining variation in child labor statistics," Policy Research Working Paper Series 5414, The World Bank.
- J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
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