Towards Consistency in Child Labour Measurement: Assessing the Comparability of Estimates Generated by Different Survey Instruments

Kovrova, I.; Manacorda, Marco; Lyon, Scott; Guarcello, Lorenzo; Rosati, Furio C.

doi:10.2139/ssrn.1777103

Cited by 25 publications

(28 citation statements)

References 7 publications

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“…However, Guarcello et al (2009) find that differences in survey design (including questionnaire type and fieldwork season) explain only some of the variation in child labor estimates across surveys and that samples look otherwise comparable (including age, sex, and urban composition). A sizeable portion of the variation in child labor statistics remains unexplained.…”

Section: Introductionmentioning

confidence: 81%

“…In this case, we would likely expect to see similar changes in school enrollment, which Guarcello et al (2009) do not observe.…”

Section: Introductionmentioning

confidence: 82%

“…In turn, there can be considerable inconsistency in statistics. Guarcello et al (2009) carefully document the apparent inconsistency of child labor statistics from large-scale national surveys for several countries. In Ghana, for instance, a comparison between the Core Welfare Indicator Survey (CWIQ) (2003) and the SIMPOC survey (2000) shows a decline in child labor of 27 percentage points from 34 percent of children working in the SIMPOC survey.…”

Section: Introductionmentioning

confidence: 99%

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Explaining variation in child labor statistics

Dillon

Bardasi

Beegle

et al. 2012

Journal of Development Economics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu 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 aspects: 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 to clarify the concept of work for respondents can improve the data collected. Terms of use: Documents in D I S C U S S I O N P A P E R S E R I E SJEL Classification: J21, C81, C93

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Section: Introductionmentioning

confidence: 81%

“…In this case, we would likely expect to see similar changes in school enrollment, which Guarcello et al (2009) do not observe.…”

Section: Introductionmentioning

confidence: 82%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Explaining variation in child labor statistics

Dillon

Bardasi

Beegle

et al. 2012

Journal of Development Economics

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“…Although child labor measures vary by a child's age or differences between market and domestic work, there is considerable unexplained inconsistency in child labor statistics between and within countries (Guarcello et al 2010). Related to our paper, the study by Dillon et al (2012) addresses measurement error in child labor statistics based on a randomized survey experiment of 566 children aged 10 to 15 in seven districts across Tanzania.…”

Section: Introductionmentioning

confidence: 99%

Child Labor Variation by Type of Respondent: Evidence from a Large-Scale Study

Dammert

Galdo

2013

World Development

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“…Table 2 depicts the differences between the results of two surveys referring to the same reference period in nine countries analyzed (see Guarcello et al 2010, 10). We interpret these differences as 2 intervals, and set the standard deviation of the contextual prior prior to 13.32, the mean of the differences reported in Guarcello et al (2010) divided by 2.…”

Section: Impact Of Region and Sectormentioning

confidence: 99%

An information system for assessing the likelihood of child labor in supplier locations leveraging Bayesian networks and text mining

Thöni

Taudes

Tjoa

2018

Inf Syst E-Bus Manage

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This paper presents an expert system to monitor social sustainability compliance in supply chains. The system allows to continuously rank suppliers based on their risk of breaching sustainability standards on child labor. It uses a Bayesian network to determine the breach likelihood for each supplier location based on the integration of statistical data, audit results and public reports of child labor incidents. Publicly available statistics on the frequency of child labor in different regions and industries are used as contextual prior. The impact of audit results on the breach likelihood is calibrated based on expert input. Child labor incident observations are included automatically from publicly available news sources using text mining algorithms. The impact of an observation on the breach likelihood is determined by its relevance, credibility and frequency. Extensive tests reveal that the expert system correctly replicates the decisions of domain experts in the fields supply chain management, sustainability management, and risk management.

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Towards Consistency in Child Labour Measurement: Assessing the Comparability of Estimates Generated by Different Survey Instruments

Cited by 25 publications

References 7 publications

Explaining variation in child labor statistics

Explaining variation in child labor statistics

Child Labor Variation by Type of Respondent: Evidence from a Large-Scale Study

An information system for assessing the likelihood of child labor in supplier locations leveraging Bayesian networks and text mining

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