Gender Bias in Agricultural Child Labor : Evidence from Survey Design Experiments
Agricultural labor accounts for the largest share of child labor worldwide. Yet, measurement of farm labor statistics is challenging due to its inherent seasonality, variable and irregular work schedules, and the varying saliences of individuals�...
| Main Authors: | , , |
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| Format: | Working Paper |
| Language: | English |
| Published: |
World Bank, Washington, DC
2020
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/480081600777941768/Gender-Bias-in-Agricultural-Child-Labor-Evidence-from-Survey-Design-Experiments http://hdl.handle.net/10986/34508 |
| Summary: | Agricultural labor accounts for the
largest share of child labor worldwide. Yet, measurement of
farm labor statistics is challenging due to its inherent
seasonality, variable and irregular work schedules, and the
varying saliences of individuals' work activities. The
problem is further complicated by the presence of widespread
gender stratification of work and social lives. This study
reports the findings of three randomized survey design
interventions over the agricultural coffee calendar in rural
Ethiopia to address whether response by proxy rather than
self-report has effects on the measurement of child labor
statistics within and across seasons. While the estimates do
not report differences for boys across all seasons, the
analysis shows sizable self/proxy discrepancies in child
labor statistics for girls. Overall, the results highlight
concerns on the use of survey proxy respondents in
agricultural labor, particularly for girls. The main
findings have important implications for policymakers about
data collection in rural areas in developing countries. |
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