Itismita Mohanty

Maternal autonomy and birth registration in India: Who gets counted?

This paper examines the effect of maternal socio-economic status in the household, such as their autonomy, ability, freedom and bargaining power, on child birth registration in India using the nationally representative India Human Development Survey-II (IHDS-II), 2011–12. We have estimated a multilevel mixed effects model which accounts for the hierarchical structure of the data and allows us to examine the effects of unobserved ‘district’ and ‘community’ characteristics along with individual child level characteristics on probability of birth registration. The results show that between-districts and between individuals differences share a considerably high and an almost equal proportion of the variations in probability of birth registration in India. At individual child level, mother’s socio-economic status such as her ability to move around independently and her exposure to outside world, significantly raise the probability of birth registration. More importantly, the marginal effects of the maternal autonomy indicators: mother’s ability to move around freely and her control over resources, on birth registration vary across districts in India. Other variables such as institutional birth, mother’s antenatal care seeking behaviour, caste, religion, household wealth and parental education are significant determinants of birth registration.

Disadvantage in the australian capital territory

At a state and territory level, the Australian Capital Territory (ACT) has the highest average income and the lowest levels of disadvantage compared to all other states and territories in Australia. However, a state- and territory-based measure hides disadvantage at the local level by averaging out any disadvantaged areas with the less-disadvantaged areas. A spatial analysis of disadvantage can highlight where people are experiencing disadvantage, and can help inform the governments response to disadvantaged and marginalised people. This article shows that there is suburb-level disadvantage in the ACT, primarily due to housing costs. However, we also find that using the Socio-economic Index for Individuals (SEIFI), there are even disadvantaged households in less-disadvantaged ACT suburbs, and these disadvantaged households do not show up in the suburb-level data due to the averaging of advantaged with disadvantaged households within a suburb. This is particularly so in the ACT due to a policy of peppering public housing (where many disadvantaged people live) within less-disadvantaged neighbourhoods (commonly called mixed tenure). We argue that this mixed tenure policy means that area-based service provision may not be as efficient in the ACT, and that the ACT Government policy of providing services from town centres is an appropriate response. We also argue that due to the higher cost of living in the ACT, the onset of financial stress can be very fast if the main income earner loses a job.

Child Schooling in Ethiopia: The Role of Maternal Autonomy

This paper examines the effects of maternal autonomy on child schooling outcomes in Ethiopia using a nationally representative Ethiopian Demographic and Health survey for 2011. The empirical strategy uses a Hurdle Negative Binomial Regression model to estimate years of schooling. An ordered probit model is also estimated to examine age grade distortion using a trichotomous dependent variable that captures three states of child schooling. The large sample size and the range of questions available in this dataset allow us to explore the influence of individual and household level social, economic and cultural factors on child schooling. The analysis finds statistically significant effects of maternal autonomy variables on child schooling in Ethiopia. The roles of maternal autonomy and other household-level factors on child schooling are important issues in Ethiopia, where health and education outcomes are poor for large segments of the population.

Child Social Exclusion Risk and Child Health Outcomes in Australia.

Introduction This paper studies the relationship between the risk of child social exclusion, as measured by the Child Social Exclusion (CSE) index and its individual domains, and child health outcomes at the small area level in Australia. The CSE index is Australia’s only national small-area index of the risk of child social exclusion. It includes five domains that capture different components of social exclusion: socio-economic background, education, connectedness, housing and health services. Methods The paper used data from the National Centre for Social and Economic Modelling (NATSEM), University of Canberra for the CSE Index and its domains and two key Australian Institute of Health and Welfare (AIHW) data sources for the health outcome measures: the National Hospital Morbidity Database and the National Mortality Database. Results The results show positive associations between rates of both of the negative health outcomes: potentially preventable hospitalisations (PPH) and avoidable deaths, and the overall risk of child social exclusion as well as with the index domains. This analysis at the small-area level can be used to identify and study areas with unexpectedly good or bad health outcomes relative to their estimated risk of child social exclusion. We show that children’s health outcomes are worse in remote parts of Australia than what would be expected solely based on the CSE index. Conclusions The results of this study suggest that developing composite indices of the risk of child social exclusion can provide valuable guidance for local interventions and programs aimed at improving children’s health outcomes. They also indicate the importance of taking a small-area approach when conducting geographic modelling of disadvantage.

Child schooling in India: the role of gender

Purpose - – This paper aims to analyse factors that influence child schooling outcomes in India, specifically the role of gender. Design/methodology/approach - – This paper uses data from the nationally representative Findings - – 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. Originality/value - – 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.