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�...

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Main Authors:	Galdo, Jose, Dammert, Ana C., Abebaw, Degnet
Format:	Working Paper
Language:	English
Published:	World Bank, Washington, DC 2020
Subjects:	SURVEY DESIGN FARM LABOR GENDER CHILD LABOR LABOR STATISTICS SEASONALITY
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

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recordtype	oai_dc
spelling	okr-10986-345082022-09-20T00:11:43Z Gender Bias in Agricultural Child Labor : Evidence from Survey Design Experiments Galdo, Jose Dammert, Ana C. Abebaw, Degnet SURVEY DESIGN FARM LABOR GENDER CHILD LABOR LABOR STATISTICS SEASONALITY 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. 2020-09-24T20:49:46Z 2020-09-24T20:49:46Z 2020-09 Working Paper http://documents.worldbank.org/curated/en/480081600777941768/Gender-Bias-in-Agricultural-Child-Labor-Evidence-from-Survey-Design-Experiments http://hdl.handle.net/10986/34508 English Policy Research Working Paper;No. 9410 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper Africa Ethiopia
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English
topic	SURVEY DESIGN FARM LABOR GENDER CHILD LABOR LABOR STATISTICS SEASONALITY
spellingShingle	SURVEY DESIGN FARM LABOR GENDER CHILD LABOR LABOR STATISTICS SEASONALITY Galdo, Jose Dammert, Ana C. Abebaw, Degnet Gender Bias in Agricultural Child Labor : Evidence from Survey Design Experiments
geographic_facet	Africa Ethiopia
relation	Policy Research Working Paper;No. 9410
description	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.
format	Working Paper
author	Galdo, Jose Dammert, Ana C. Abebaw, Degnet
author_facet	Galdo, Jose Dammert, Ana C. Abebaw, Degnet
author_sort	Galdo, Jose
title	Gender Bias in Agricultural Child Labor : Evidence from Survey Design Experiments
title_short	Gender Bias in Agricultural Child Labor : Evidence from Survey Design Experiments
title_full	Gender Bias in Agricultural Child Labor : Evidence from Survey Design Experiments
title_fullStr	Gender Bias in Agricultural Child Labor : Evidence from Survey Design Experiments
title_full_unstemmed	Gender Bias in Agricultural Child Labor : Evidence from Survey Design Experiments
title_sort	gender bias in agricultural child labor : evidence from survey design experiments
publisher	World Bank, Washington, DC
publishDate	2020
url	http://documents.worldbank.org/curated/en/480081600777941768/Gender-Bias-in-Agricultural-Child-Labor-Evidence-from-Survey-Design-Experiments http://hdl.handle.net/10986/34508
_version_	1764481051790409728

Gender Bias in Agricultural Child Labor : Evidence from Survey Design Experiments

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