Measuring child labor: comparisons between hours data and subjective measures

Andrew Dillon

doi:10.1108/S0147-9121(2010)0000031008

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Research in Labor Economics

ISSN: 0147-9121
Series editor(s): Professor Solomon Polachek, Dr Konstantinos Tatsiramos

Subject Area: Economics

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Measuring child labor: comparisons between hours data and subjective measures

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Title:	Measuring child labor: comparisons between hours data and subjective measures
Author(s):	Andrew Dillon
Volume:	31 Editor(s): Randall K.Q. Akee, Eric V. Edmonds, Konstantinos Tatsiramos ISBN: 978-0-85724-000-2 eISBN: 978-0-85724-001-9
Citation:	Andrew Dillon (2010), Measuring child labor: comparisons between hours data and subjective measures, in Randall K.Q. Akee, Eric V. Edmonds, Konstantinos Tatsiramos (ed.) Child Labor and the Transition between School and Work (Research in Labor Economics, Volume 31), Emerald Group Publishing Limited, pp.135-159
DOI:	10.1108/S0147-9121(2010)0000031008 (Permanent URL)
Publisher:	Emerald Group Publishing Limited
Article type:	Chapter Item
Abstract:	This chapter examines a subjective measure of child labor as an alternative to hours data for eliciting the distribution of children's time between work, school, and leisure. The subjective child labor questions that were developed have two primary advantages. First, the subjective measures avoid proxy respondent bias in child labor reports made by parents in a standard hours module. Second, the subjective child labor module scales responses to elicit the relative distribution of the shares of children's time without relying on hours data, which are prone to severe outlier problems. Adult, proxy respondents are found to produce uniformly lower reports of children's time allocated to work and school than the child's own subjective responses. Conditional labor supply functions are also estimated to examine differences in the marginal effects of child, parent, household, and school characteristics between the two types of data. The use of children's subjective responses increases the magnitude of the marginal effects for child's age, parental education, and school availability with limited differences between household composition and asset variables.