Explaining Variation in Child Labor Statistics
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 with...
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okr-10986-38992021-04-23T14:02:13Z Explaining Variation in Child Labor Statistics Dillon, Andrew Bardasi, Elena Beegle, Kathleen Serneels, Pieter ACCOUNT CHILD LABOR CHILD LABOR DECLINE CHILD LABOR FORCE CHILD LABOR POLICY CHILD LABOUR CHILD WORK CHILDCARE CONSUMPTION EXPENDITURES DEVELOPMENT ECONOMICS DISTRIBUTION OF CHILDREN ECONOMIC GROWTH EMPLOYEE EMPLOYMENT EMPLOYMENT STATUS HOUSEHOLD CHARACTERISTICS HOUSEHOLD ENTERPRISE HOUSEHOLD ENTERPRISES HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD WEALTH HUMAN RESOURCES INCOME JOBS LABOR DEMAND LABOR ECONOMICS LABOR FORCE LABOR FORCE PARTICIPATION LABOR INFORMATION LABOR MARKET LABOR POLICY LABOR STATISTICS LABOR SUPPLY LABOR SURVEYS LABOUR FORCE LABOUR FORCE PARTICIPATION LABOUR STATISTICS LIVING STANDARDS OCCUPATION PARENTS PREVIOUS WORK PROBIT REGRESSION PRODUCTIVE ACTIVITIES PUBLIC ADMINISTRATION TRAINING PERIOD TREATMENT OF CHILDREN UNPAID FAMILY WORKERS WORK PROJECT WORKER WORKING HOURS YOUNG CHILDREN 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. 2012-03-19T18:41:49Z 2012-03-19T18:41:49Z 2010-09-01 http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20100907093642 http://hdl.handle.net/10986/3899 English Paper is funded by the Knowledge for Change Program (KCP),Policy Research working paper ; no. WPS 5414 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank Publications & Research :: Policy Research Working Paper The World Region The World Region |
repository_type |
Digital Repository |
institution_category |
Foreign Institution |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
language |
English |
topic |
ACCOUNT CHILD LABOR CHILD LABOR DECLINE CHILD LABOR FORCE CHILD LABOR POLICY CHILD LABOUR CHILD WORK CHILDCARE CONSUMPTION EXPENDITURES DEVELOPMENT ECONOMICS DISTRIBUTION OF CHILDREN ECONOMIC GROWTH EMPLOYEE EMPLOYMENT EMPLOYMENT STATUS HOUSEHOLD CHARACTERISTICS HOUSEHOLD ENTERPRISE HOUSEHOLD ENTERPRISES HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD WEALTH HUMAN RESOURCES INCOME JOBS LABOR DEMAND LABOR ECONOMICS LABOR FORCE LABOR FORCE PARTICIPATION LABOR INFORMATION LABOR MARKET LABOR POLICY LABOR STATISTICS LABOR SUPPLY LABOR SURVEYS LABOUR FORCE LABOUR FORCE PARTICIPATION LABOUR STATISTICS LIVING STANDARDS OCCUPATION PARENTS PREVIOUS WORK PROBIT REGRESSION PRODUCTIVE ACTIVITIES PUBLIC ADMINISTRATION TRAINING PERIOD TREATMENT OF CHILDREN UNPAID FAMILY WORKERS WORK PROJECT WORKER WORKING HOURS YOUNG CHILDREN |
spellingShingle |
ACCOUNT CHILD LABOR CHILD LABOR DECLINE CHILD LABOR FORCE CHILD LABOR POLICY CHILD LABOUR CHILD WORK CHILDCARE CONSUMPTION EXPENDITURES DEVELOPMENT ECONOMICS DISTRIBUTION OF CHILDREN ECONOMIC GROWTH EMPLOYEE EMPLOYMENT EMPLOYMENT STATUS HOUSEHOLD CHARACTERISTICS HOUSEHOLD ENTERPRISE HOUSEHOLD ENTERPRISES HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD WEALTH HUMAN RESOURCES INCOME JOBS LABOR DEMAND LABOR ECONOMICS LABOR FORCE LABOR FORCE PARTICIPATION LABOR INFORMATION LABOR MARKET LABOR POLICY LABOR STATISTICS LABOR SUPPLY LABOR SURVEYS LABOUR FORCE LABOUR FORCE PARTICIPATION LABOUR STATISTICS LIVING STANDARDS OCCUPATION PARENTS PREVIOUS WORK PROBIT REGRESSION PRODUCTIVE ACTIVITIES PUBLIC ADMINISTRATION TRAINING PERIOD TREATMENT OF CHILDREN UNPAID FAMILY WORKERS WORK PROJECT WORKER WORKING HOURS YOUNG CHILDREN Dillon, Andrew Bardasi, Elena Beegle, Kathleen Serneels, Pieter Explaining Variation in Child Labor Statistics |
geographic_facet |
The World Region The World Region |
relation |
Paper is funded by the Knowledge for Change
Program (KCP),Policy Research working paper ; no. WPS 5414 |
description |
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. |
format |
Publications & Research :: Policy Research Working Paper |
author |
Dillon, Andrew Bardasi, Elena Beegle, Kathleen Serneels, Pieter |
author_facet |
Dillon, Andrew Bardasi, Elena Beegle, Kathleen Serneels, Pieter |
author_sort |
Dillon, Andrew |
title |
Explaining Variation in Child Labor Statistics |
title_short |
Explaining Variation in Child Labor Statistics |
title_full |
Explaining Variation in Child Labor Statistics |
title_fullStr |
Explaining Variation in Child Labor Statistics |
title_full_unstemmed |
Explaining Variation in Child Labor Statistics |
title_sort |
explaining variation in child labor statistics |
publishDate |
2012 |
url |
http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20100907093642 http://hdl.handle.net/10986/3899 |
_version_ |
1764388917730082816 |