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This paper uses household level data from National Sample Survey Organization (NSSO) of India, the 55th (1999–2000) and the
61st (2004–05) rounds, to show that even with a significant wage incentive for schooling of urban children, the school drop
out rate and child labour incidence are not small over this period. The parents’ level of education plays an important role
in reducing this tendency; thus establishing the linkage between social and human capital outcomes in the family. We also
look at the incidence of harmful and manual occupations among the child labour. Mother’s education appears as the more important
factor in the recent round in curbing the manual work incidences; supporting earlier findings that women’s empowerment (one
important indicator of which would be female educational level) is indeed becoming instrumental in increasing parental awareness.
Using a pooled data set, we have also analysed the changes in the impact of parental education on these decisions between
1999–2000 and 2004–05.
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Diganta MukherjeeEmail: |
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The National Sample Survey Organisation (NSSO) surveys are the main source of official statistics in India, and generate a range of invaluable data at the macro level (e.g. state and national levels). However, the NSSO data cannot be used directly to produce reliable estimates at the micro level (e.g. district or further disaggregate level) due to small sample sizes. There is a rapidly growing demand of such micro-level statistics in India, as the country is moving from centralized to more decentralized planning system. In this article, we employ small-area estimation (SAE) techniques to derive model-based estimates of the proportion of indebted households at district or at other small-area levels in the state of Uttar Pradesh in India by linking data from the Debt–Investment Survey 2002–2003 of NSSO and the Population Census 2001 and the Agriculture Census 2003. Our results show that the model-based estimates are precise and representative. For many small areas, it is even not possible to produce estimates using sample data alone. The model-based estimates generated using SAE are still reliable for such areas. The estimates are expected to provide invaluable information to policy analysts and decision-makers. 相似文献
3.
This paper uses household level data from National Sample Survey Organization (NSSO) of India, the 55th round (1999–2000),
to show that for urban male children there exists significant wage incentive for schooling, though school dropout rate and
child labour incidence are not so small. The parents’ level of education plays an important role in reducing this tendency;
thus establishing the linkage between social and human capital outcomes in the family. We also look at the incidence of harmful
and manual occupations among the child labour. Mother’s education now appears as a very important factor in curbing these
incidences; supporting earlier findings that women’s empowerment (one important indicator of which would be female educational
level) is indeed instrumental in increasing parental awareness. 相似文献
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