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The purpose of this paper is to quantify inequalities in utilization of maternal health care services and measure the relative contribution of different factors affecting it in the context of Nepal.

The paper uses data from the latest round of the Nepal Demographic and Health Survey. Two stages of stratified cluster samplings were used. A total of 13,200 women aged 15-49 were interviewed.

Results of concentration index estimates in three selected indicators suggest considerable inequalities in maternal health care utilization. The decomposition analyses indicate that the critical factors contributing to inequalities in <3 antenatal care visits are poor economic status of households (32 percent) and women (23 percent) and their partners’ illiteracy (23 percent). However, in case of no institutional delivery, apart from the poor economic status of household (51 percent) and women's illiteracy (16 percent), the rural place of residence (21 percent) has emerged as critical factors contributing to inequalities. In case of no postnatal care within a day, birth order (21 percent) becomes a significant factor, next to the poor economic status of the household (41 percent) in terms of the relative contribution to total inequalities.

Policies and program targeting maternal health interventions need to consider equity with efficiency in utilization of maternal health care services, and further to achieve the targets of millennium development goal 5 in Nepal.

This study is an innovative effort to estimate inequalities in maternal health care services in the context of Nepal by using inequality decomposition model. For the first time, this study estimates the relative contribution of different socioeconomic factors contributing to inequalities in maternal health care services in Nepal.

A continuous mixed opinion on the relevance of caste-based reservations and caste as a factor of socioeconomic disparity in the recent period demands update of evidence on socioeconomic inequalities among caste groups for effective policy making. The purpose of this paper is to investigate whether the caste inequalities in terms of socioeconomic opportunities and poverty are still persisting in rural Uttar Pradesh based on village census surveys?

This study used data primarily collected from four village census surveys under the project rural transformation in Uttar Pradesh, 2013. Bivariate analyses, human opportunity index (HOI), multidimensional poverty index (MPI) and inequality decomposition analyses used as methods of analyses.

The authors findings suggest that in spite of more than six decades of welfare policies and major political mobilization movements among lower castes in the state, the huge inequalities in terms of critical socioeconomic indicators such as landholding, higher education and wealth distribution and multi-dimensional poverty across the castes are still persisting in the state. Decomposition results suggest that between group inequalities contribute more to the total inequality in landholding whereas within group inequalities contribute maximum to total inequality in education and wealth status of different castes in rural Uttar Pradesh. However, within inequalities much less in general castes compared to SCs/OBCs.

Based on its latest empirical evidence, this study strengthens the argument that caste still matters in socioeconomic achievements of the population in India even after decades of planning and financing of social welfare schemes to uplift the lower castes in India. Thus, provides critical inputs to current debates on the relevance of caste as a determinant of socioeconomic status in India.

The aim of this study is twofold, first, to estimate the prevalence of multiple disabilities among the older population in India; second, to examine the socio economic determinants of multiple disabilities among the older population.

This study used the India Human Development Survey Data (IHDS) for the analysis. Bivariate, multinomial logit regression and multiple classification analysis are used as methods for the study. Disability score is constructed for measuring the multiple disabilities among the older population.

The results of disability prevalence show, a high prevalence of multiple disabilities among the older population in India. Further, disability prevalence varies considerably by age and socio‐economic characteristics of the older population. Among all the socioeconomic factors, economic factor emerged as a dominant predictor of prevalence of disabilities among the older population in India. The findings of the dimension specific assessment reveal that the disability in walking is the highest among all the disabilities. The distribution of disabled older population by living arrangement and the social network indicates that a large proportion of disabled older population lives with their children. In addition, only a few of the disabled older people have social networks. The distribution of disabled older people by employment and financial source reveal that there is a meager government support to the disabled older population in India. This study evidently suggests that a significant number of older populations in India are suffering from multiple disabilities. The number of multiple disabilities increases with the decrease in the socioeconomic status. The living arrangement and financial security assessment suggest that there is an increasing need of children and government support to the disabled older population.

The distinctiveness of this study can be primarily found in the type of the data used, the assessment of additional disability dimensions, and the inclusion of differentials such as living arrangement, social network and work status as part of the analysis. Overall, the study with its robust statistical assessment provides a number of key insights into the social, economic security, and health care needs of the disabled older population in India.

The purpose of this paper is to investigate the pattern of living arrangements among the older population and perception about old age support in the Indian adult population.

This study used India Human Development Survey (IHDS), 2004‐2005 data for empirical analyses. Bivariate and multivariate models are used as statistical analyses for this study. This study is an evidence‐based interpretation of living arrangements among older persons and perception about future living arrangement and financial assistance among current adult people.

It was found that 17 percent of older population lived with their spouse only; only 2 percent lived singly, and the rest of 85 percent elderly were living in co‐residence with children. A majority of women respondents are expecting their sons to live with them, to take care and provide financial and emotional support in their old age. This indicates that the family will continue to be a significant social institution for the care and support for the older population in India.

This study is the first of its kind, which, in addition, to living arrangement patterns of the older population, provides some insight about the expectations of the current adult generation about living and financial preferences in old age.

The level of mother’s health knowledge influences not only her health, but also significantly predicts her children’s health and medical care, and spending on medical care. This relationship has not yet been empirically assessed in India. The purpose of this paper is to measure the level of health knowledge of mothers in India and its association with the short-term illness in their children, medical care and medical care expenditure.

The authors used data from India Human Development Survey, 2004-2005. An index of “health knowledge” was constructed by using factor analysis. Multivariate binary logistic regression, multinomial logistic regression and multiple classification analysis were employed to analyze the relationship between mother’s health knowledge and child illness. Pearson’s χ2 test and ANOVA test were used to estimate levels of statistical significance in bivariate analyses.

The results revealed that children of mothers with medium and high-health knowledge were significantly less likely to have short-term illness (OR=0.390, p < 0.01 and OR=0.543, p < 0.01) than those children whose mothers had no or low-health knowledge (OR=1.00, p < 0.01) cutting across all background characteristics. Similarly, the attainment of modern medical care for short-term illness of children was nearly two times greater (OR=1.97, p < 0.05) in mothers with higher health knowledge as compared to mothers with no or low-health knowledge (OR=1.00, p < 0.01). The results also showed that mothers with higher health knowledge spent more on medical care for their children’s short-term illness than mothers with no and low-health knowledge.

The findings suggested a significant effect of mother’s health knowledge on the prevalence of short-term illness among their children, medical care and expenditure on the medical care. Appropriate health knowledge for women is crucial to the wellbeing of their children. Besides, social equity in terms of the distribution of facilities, to gain health knowledge and medical care, are essential to be established in India.

To the knowledge, this study is the first attempt to measure the health knowledge of women in reproductive age and its association with the prevalence of short-term illness, medical care and medical expenditure of their children in India. In general, a health knowledge index could be a significant composite predictor of the health in a population.

The purpose of this paper is to examine the linkages of employment, chronic disease prevalence and medical care of the older population in India.

This study used the India Human Development Survey data for the analysis. Bivariate, multinomial logit regression and multiple classification analysis are used as methods for the study.

The findings suggest a bi-directional relationship between employment and chronic diseases: the older population who are engaged in regular paid work has lower likelihood to the risk of chronic diseases compared to those who are not working. Conversely, the older population with chronic diseases may be unable to work in regular paid jobs. The greater proportions of not-working older population with savings and retirement pensions are more likely to seek modern treatment for the chronic diseases. Overall, the results foster that employment determines and is determined by chronic disease prevalence among the older population in India.

This paper for the first time presents evidence on the linkages of employment, chronic disease prevalence and medical care of the older population in India by using a unique and comprehensive data source.

The purpose of this study is to investigate the association between the marriage among blood relatives and resulting adverse pregnancy outcomes.

This study uses data from India Human Development Survey in 2005. The methods of analyses include bivariate, trivariate estimates and Cox proportional hazard regression model.

The results reveal that the occurrence of consanguineous marriages is more predominant in southern India and among socioeconomically disadvantageous groups. Moreover, women in consanguineous unions are more likely to have adverse pregnancy outcomes including stillbirths (RR=1.59, p‐value<0.01), abortions (RR=3.03, p‐value<0.01), miscarriages (RR=1.94, p‐value<0.01) and spontaneous miscarriages (RR=1.70, p‐value<0.01). Consanguineous marriages continue to be a critical predictor of adverse pregnancy outcomes in India.

In order to avoid loss of pregnancy and related reproductive health problems in India, it is imperative to create awareness regarding the adverse effects of consanguineous marriages, focusing on the regions with high prevalence.

This unique study comprehensively examines the occurrence of consanguineous marriages and their association with adverse pregnancy outcomes by using advanced statistical analyses and nationally representative data.

The paper aims to find out how far the size of household landholding directs patriarchal traits and thus influence women's autonomy.

The study used a two-part methodology. The first part provides theoretical background based on existing literature on women's autonomy and related information in formulating the “landholding-patriarchy hypotheses”. The second part of this study evaluates the empirical evidences of the association between the size of household landholding and women's autonomy.

Results indicate considerable variation in women's autonomy with the size of their household landholding: women's autonomy decreases with increasing size of household landholding. Evidence suggests that landholding directs patriarchal traits, as manifested in a reasonable influence on women's autonomy in rural India.

The paper innovates a means to understand the contributing factors to lowering women's autonomy, thus explore the relevance of “landholding-patriarchy hypothesis”.

The purpose of this paper is to compare the new Census 2011 results with the results of the previous Censuses and assess the progress in trends of population growth, literacy rate, and sex ratio imbalance and also to highlight the critical socioeconomic issues based on short‐term trends and patterns.

The paper is structured in a “commentary and perspective” format. The paper assesses key demographic and socioeconomic features of India's population using 2011 Census data, and compares progress in population and social trends with the results of previous Censuses. The paper also uses data from the National Family Health Survey (2005‐2006) and the United Nations World Population Prospects (2008) to complement Census results and understand the underlying reasons for the progress or deterioration in critical demographic and socioeconomic indicators.

The provisional results of the 2011 Census data reveal a mixed bag of insights. On the positive side, there has been steady progress in population stabilization and a swift ascent in female literacy since 1991. These encouraging trends, among others, represent major driving forces of demographic and economic returns for India in the coming decades. However, on the negative side, the 2011 Census reveals a deplorable deterioration in the female‐male ratio of the child population aged 0‐6 years, despite India's enforcement of targeted policy measures following the 2001 Census. The country needs to take careful stock of this issue, as its advancing demographic transition and changing socioeconomic circumstances are rapidly translating into an adverse trend of girl child discrimination.

This study compares India's most recent two Censuses and provides original analytical insights into India's progress in population stabilization and development, and the setbacks it faces in terms of gender inequalities. Region and state‐wise analyses are additional contributions based on disaggregated state level data from the recent two Censuses.

This paper is an effort to identify the difference between government and private primary schools in terms of physical infrastructure, schooling costs and student's performance. Further, the paper assessed the role of physical infrastructure and schooling costs on the performance of students. The paper aims to discuss these issues.

This study used India Human Development Survey (IHDS) data. Bivariate, trivariate, χ2 and ANOVA test, factor analyses and Theil index are used as methods of analyses.

The results present a distinct picture of government and private primary school education in India in terms of physical infrastructure standards, schooling cost and performance of students. In all the three selected indicators, private primary schools remained a forerunner or outperform the government primary schools in India. Besides this, the physical infrastructure and schooling cost found to have effect on performance of students both in private and public schools.

Since government primary schools hold more than 70 percent of total students, there is an urgent need to improve the standards of primary education in these schools. Further, efforts are needed to reduce the gaps between private and public schools in terms of its basic physical facilities and performance of students in the country.

The paper used the IHDS to examine the existing differentials between government and private primary schools. The analysis is purely an original work.