Survey on Child Labour Statistics
AbstractThis paper aims to provide a review on key methodological issues regarding two major international statistical approaches, which characterize the statistics on Child Labour, especially in poor countries. In the first section, we summarises and analyse some key concepts about the international definition on Child Labour. In the second section we analyze the methodology “Statistical Information and Monitoring Programme on Child Labour” (SIMPOC) by International Labour Organization (ILO). In the third section, we describe an alternative methodology promoted by World Bank (WB) identified through the “Living Standard Measurement Survey” (LSMS). In conclusion, in the fourth section, we briefly describe the Italian experience, reporting the major methodological implications emerged during the experimentation of the statistical research project “Children and Work” carried out in Italy by ISTAT (Italian National Institute of Statistics).
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 9148.
Date of creation: 04 Jun 2008
Date of revision:
Child Labour Statistics; SIMPOC; LSMS;
Find related papers by JEL classification:
- I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
- J00 - Labor and Demographic Economics - - General - - - General
- C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-06-21 (All new papers)
- NEP-DEV-2008-06-21 (Development)
- NEP-LAB-2008-06-21 (Labour Economics)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht).
If references are entirely missing, you can add them using this form.