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This paper aims to analyse factors that influence child schooling outcomes in India, specifically the role of gender.

This paper uses data from the nationally representative Indian National Family Health Surveys 1995-1996 and 2005-2006 and estimates Heckman sample selection, cluster fixed-effects and household fixed-effects econometric models. The dependent variables are the child’s enrolment status and conditional on enrolment child’s years of schooling.

This analysis finds statistically significant evidence of male advantage both in schooling enrolment as well as years of schooling. However, using a cluster fixed-effects model, our analysis finds that within a village, conditional on being enrolled, girls spend more years in school relative to boys. Other results show that parental schooling has a positive and statistically significant impact on child schooling. There is statistically significant wealth effect, community effect and regional disparities between states in India.

The large sample size and the range of questions available in this data set, allows us to explore the influence of individual, household and village level social, economic and cultural factors on child schooling. The role of gender on child schooling within a village, intrahousehold resource allocation for schooling and regional gender differences in schooling are important issues in India, where education outcomes remain poor for large segments of the population.

The purpose of this paper is to analyze the main determinants of child nutrition in rural Nepal, focusing on the influential role of maternal autonomy.

This paper uses data from the 2006 Nepal Demographic Health Survey (NDHS) to estimate econometric models using OLS and logit techniques. The dependent variables are the two anthropometric measures of child weight‐for‐height (a measure of wasting) and height‐for‐age (a measure of stunting).

No evidence was found of gender discrimination against the girl child in either of our nutritional measures. However, our results show that the explanatory variables have differential effects on male and female children. Estimation results show that maternal autonomy variables have a limited influence on child nutrition measures, but household wealth has a large positive impact on child nutrition, both short‐term and long term.

The large sample size and the range of questions available in our nationally representative dataset, allows us to explore the influence of household level social and economic factors on child nutrition. A study of the role of maternal decision‐making power and control over assets on the nutritional status of children is an important issue in a developing country like Nepal, where health and education outcomes remain poor for large segments of the population.

This paper uses a sample of school age children from the Nepal Demographic Health Survey (NDHS) to examine the relationship between maternal education and child schooling in Nepal. Taking advantage of the two-stage stratified sample design, we estimate a sample selection model controlling for cluster fixed effects. These results are then compared to OLS and Tobit models. Our analysis shows that being male significantly increases the likelihood of attending school and for those children attending school, it also affects the years of schooling. Parental education has a similarly positive effect on child school, but interestingly we find maternal education having a relatively greater effect on the schooling of girls. Our results also point to household wealth as having a positive effect on both the probability of schooling and the years of schooling in all our models, with the magnitude of these effects being similar for male and female children. Finally, a comparison of our results with a model ignoring cluster fixed effects produces results that are statistically different both in signs and in the levels of significance.

Understanding how worker well-being is distributed across the population is of paramount importance. With such knowledge policy makers can devise efficient strategies to improve social welfare. This volume contains 13 chapters on topics enhancing our comprehension of inequality across workers. The issues addressed deal directly with the economic institutions that affect individual and family earnings distributions. The themes explored include job training, worker and firm mobility, minimum wages, wage arrears, unions, collective bargaining, unemployment insurance, and schooling. Among the questions answered are: To what extent do greater work hours of women mitigate the widening family earnings distribution? To what extent does deunionization widen the distribution of earnings? Do computers really cause a widening of the earnings distribution? How would the Russian wage distribution change if one accounted for wage arrears? How much of job creation and job destruction comes about because of business relocation? To what extent does maternal education increase children's education? Why do increases in the minimum wage fail to substantially decrease employment as economic theory would predict? And, to what extent do job skills matter for low-income workers?