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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.

To purchase or authenticate to the full-text of this article, please visit this link: http://dx.doi.org/10.1111/j.0307-3378.2007.00265.x Byline: Ravi Kanbur (*), Diganta Mukherjee Keywords: characterization; lifetime income profile; poverty measure; premature mortality; steady-state population Abstract: ABSTRACT There is a glaring paradox in all commonly used measures of poverty. The death of a poor person, because of poverty, reduces poverty according to these measures. This surely violates our basic intuitions of how poverty measures should behave. It cannot be right in concept that differentially higher mortality among the poor serves to reduce poverty. This article begins the task of developing poverty measures that are not perversely mortality sensitive. A family of measures is proposed that is an intuitive modification of standard poverty measures to take into account the fact that the rich live longer than the poor. Author Affiliation: (*)Department of Applied Economics and Management and Department of Economics, Cornell University, USA Article note: Correspondence: Diganta Mukherjee, ICFAI Business School, Plot J-3, Block GP, Sector-V, Salt Lake, Kolkata 700091, India. Email: digantam@hotmail.com. The authors would like to thank Peter J. Lambert, Satya R. Chakravarty, Anthony F. Shorrocks, Erik Thorbecke, two anonymous referees and the editor of this journal for their helpful discussion and suggestions on earlier versions of the paper. We are grateful to the seminar participants at University of York, Birkbeck University of London, ISER, University of Essex, Jadavpur University and University of Burdwan for their active participation. The usual disclaimer applies.

Presence of social network among the respondents in a survey may have an influence on the patterns of response. Latent class analysis identifies hidden subgroups in the respondents in a survey and simplifies the structure of heterogeneity amongst them. In the present study, a new model of social network-informed multiple group latent class analysis is developed by introducing a parameter measuring the influence of a social network on a respondent. For suitable application of the proposed model, data from 75 Indian villages with detailed demographic characteristics and a diverse social and economic network are used. The present study examined the methodological aspect of the proposed model of multiple group latent class analysis adjusted for the impact of social network. [ABSTRACT FROM AUTHOR]