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Background: The introduction of Janani Suraksha Yojana (JSY) in India, a conditional cash transfer program which incentivized women to deliver at institutions, resulted in a significant increase in institutional births. Another major health policy reform, which could have affected maternal and child health care (MCH) utilization, was the public health insurance scheme (RSBY) launched in 2008. However, there is a noticeable lack of studies that examine how RSBY had impacted on MCH utilization in India. We used data from a cohort of mothers whose delivery had been captured in both the 2005 and 2011/12 rounds of the Indian Human Development Survey (IHDS) to study the impact of health insurance (in particular, the public insurance scheme versus private insurance) on MCH access. We also investigated whether maternal empowerment was a significant correlate that affects MCH utilization., Methods: We used the multilevel mixed-effects ordered logistic regression model to account for the clustered nature of our data. We derived indexes for women's empowerment using Principal component analysis (PCA) technique applied to various indicators of women's autonomy and socio-economic status., Results: Our results indicated that the odds of mothers' MCH utilization levels vary by district, community and mother over time. The effect of the public insurance scheme (RSBY) on MCH utilization was not as strong as privately available insurance. However, health insurance was only significant in models that did not control for household and mother level predictors. Our findings indicated that maternal empowerment indicators - in particular, maternal ability to go out of the house and complete chores and economic empowerment-were associated with higher utilization of MCH services. Among control variables, maternal age and education were significant correlates that increase MCH service utilization over time. Household wealth quintile was another significant factor with mothers belonging to upper quintiles more likely to access and utilize MCH services., Conclusions: Change in women's and societal attitude towards maternal care may have played a significant role in increasing MCH utilization over the study period. There might be a need to increase the coverage of the public insurance scheme given the finding that it was less effective in increasing MCH utilization. Importantly, policies that aim to improve health services for women need to take maternal autonomy and empowerment into consideration., (© 2022. The Author(s).)

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.

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., Competing Interests: The authors have declared that no competing interests exist.