S.O. Rutstein

Bio: S.O. Rutstein is an academic researcher. The author has contributed to research in topics: Infant mortality & Child mortality. The author has an hindex of 3, co-authored 3 publications receiving 867 citations.

Demographic Determinants of Infant and Early Child Mortality: A Comparative Analysis

Abstract: In this paper we examine the relative importance of a number of demographic determinants of infant and early child mortality using information from 39 World Fertility Survey countries. We include sex of the child, age of the mother at the time of the birth, birth order, mother's educational level and a number of indicators of spacing of adjacent births among the correlates of chances of survival for children below the age of five years. Mortality of firstborn children and of those born to teenage mothers is shown to be higher than average; that of later children and those of older mothers was not much higher than average, once other factors are controlled. Effects of poor birth-spacing persist even after other factors have been controlled, and are similar where a sib was born during the two years preceding the birth of the child, regardless of the survival status of that sib; however, mortality was higher when that sib had died, due to increased familial risks of mortality. Rapid subsequent births also ra...

Socio-economic factors in Infant and child mortality: A cross-national comparison

Abstract: Using results from the World Fertility Survey (WFS) for 28 countries, socioeconomic differences in neonatal, postneonatal, and child mortality were examined. To maintain some degree of comparability and to make presentation of the results feasible, focus was on 5 variables which are available for each survey. It can be argued that each of the 5 socioeconomic variables considered here--mother's education, mother's work status since marriage, current or most recent husband of mother's occupation and education, and current type of place of residence of mother--affects infant and child mortality, although often as surrogates for other variables which were usually not directly available. For over 24 countries, the neonatal mortality rate varied from 84 in Nepal to 15 in Malaysia. In Nepal the rate for children of the skilled and unskilled was high (124) but where the husband had received 7 or more years of education the rate of 54 was low. At the other extreme, rates in Malaysia varied from 5 when mother's had 7 or more years of education to 23 for offspring of the least educated husbands. The highest overall postneonatal rate of 89 was again found in Nepal and the lowest national rate in Trinidad and Tobago at 13. In 9 out of 24 countries the high values were over 3 times as great as the low values and the absolute difference exceeded 30/1000 in 13 countries. Differences on child mortality are substantial, reflecting the greater influence of socioeconomic factors on mortality in early childhood. Nationally, the values ranged from 186 in Senegal to a low of 8 in Trinidad and Tobago. In only Haiti, Guyana, and Pakistan did the ratio of the maximum to the minimum rates for sizeable groups fall below 2. At the other extreme, in 5 countries the ratio exceeded 10 and in a further 6 was above 4. Differences between the high and low groups within countries exceeded 30 in 18 out of 28 countries and were over 50 in 10 of these. In 9 countries the highest rates occurred among mothers with no education and in a further 6 among husbands with no education. Education of mother, followed by education of her husband and his occupation were generally the strongest explanatory variables. The work status of the mother was not likely to be an important explanatory variable in these analyses. Results of a multivariate analysis suggested intriguing differences in the relative roles of different socioeconomic variables. Mother's education seemed to play an important role in determining children's chances of surviving in several Latin American and South East Asian countries. In no country did husband's level of education appear in all 3 models. The occupation of the husband was possibly the purest indicator of socioeconomic status, and this factor appeared in the models for all 3 segments of infant and child mortality. Mother's work status appeared least often.

Socio-economic Factors in Infant and Child Mortality: A Cross-National Comparison

Abstract: Using results from the World Fertility Survey (WFS) for 28 countries, socioeconomic differences in neonatal, postneonatal, and child mortality were examined. To maintain some degree of comparability and to make presentation of the results feasible, focus was on 5 variables which are available for each survey. It can be argued that each of the 5 socioeconomic variables considered here--mother's education, mother's work status since marriage, current or most recent husband of mother's occupation and education, and current type of place of residence of mother--affects infant and child mortality, although often as surrogates for other variables which were usually not directly available. For over 24 countries, the neonatal mortality rate varied from 84 in Nepal to 15 in Malaysia. In Nepal the rate for children of the skilled and unskilled was high (124) but where the husband had received 7 or more years of education the rate of 54 was low. At the other extreme, rates in Malaysia varied from 5 when mother's had 7 or more years of education to 23 for offspring of the least educated husbands. The highest overall postneonatal rate of 89 was again found in Nepal and the lowest national rate in Trinidad and Tobago at 13. In 9 out of 24 countries the high values were over 3 times as great as the low values and the absolute difference exceeded 30/1000 in 13 countries. Differences on child mortality are substantial, reflecting the greater influence of socioeconomic factors on mortality in early childhood. Nationally, the values ranged from 186 in Senegal to a low of 8 in Trinidad and Tobago. In only Haiti, Guyana, and Pakistan did the ratio of the maximum to the minimum rates for sizeable groups fall below 2. At the other extreme, in 5 countries the ratio exceeded 10 and in a further 6 was above 4. Differences between the high and low groups within countries exceeded 30 in 18 out of 28 countries and were over 50 in 10 of these. In 9 countries the highest rates occurred among mothers with no education and in a further 6 among husbands with no education. Education of mother, followed by education of her husband and his occupation were generally the strongest explanatory variables. The work status of the mother was not likely to be an important explanatory variable in these analyses. Results of a multivariate analysis suggested intriguing differences in the relative roles of different socioeconomic variables. Mother's education seemed to play an important role in determining children's chances of surviving in several Latin American and South East Asian countries. In no country did husband's level of education appear in all 3 models. The occupation of the husband was possibly the purest indicator of socioeconomic status, and this factor appeared in the models for all 3 segments of infant and child mortality. Mother's work status appeared least often.

From Neurons to Neighborhoods: The Science of Early Childhood Development

Abstract: How we raise young children is one of today's most highly personalized and sharply politicized issues, in part because each of us can claim some level of "expertise." The debate has intensified as discoveries about our development-in the womb and in the first months and years-have reached the popular media. How can we use our burgeoning knowledge to assure the well-being of all young children, for their own sake as well as for the sake of our nation? Drawing from new findings, this book presents important conclusions about nature-versus-nurture, the impact of being born into a working family, the effect of politics on programs for children, the costs and benefits of intervention, and other issues. The committee issues a series of challenges to decision makers regarding the quality of child care, issues of racial and ethnic diversity, the integration of children's cognitive and emotional development, and more. Authoritative yet accessible, From Neurons to Neighborhoods presents the evidence about "brain wiring" and how kids learn to speak, think, and regulate their behavior. It examines the effect of the climate-family, child care, community-within which the child grows.

Wealthier is healthier

Abstract: With cross-country, time series data on health (infant and child mortality, and life expectancy) and per capita income, the authors estimate the effect of income on health. They use instrumental variables estimation to identify the effect of income on health that is structural and causal, isolated from reverse causation (healthier workers are more productive and hence wealthier) or incidental association (some other factor may cause both better health and greater wealth). The long-run income elasticity of infant and child mortality in developing countries lies between 0.2 and 0.4. Using those estimates, they calculate that in 1990 alone, more than half a million child deaths in the developing world could be attributed to poor economic performance in the 1980s.

Wealthier is healthier.

Abstract: With cross-country, time series data on health (infant and child mortality, and life expectancy) and per capita income, the authors estimate the effect of income on health. They use instrumental variables estimation to identify the effect of income on health that is structural and causal, isolated from reverse causation (healthier workers are more productive and hence wealthier) or incidental association (some other factor may cause both better health and greater wealth). The long-run income elasticity of infant and child mortality in developing countries lies between 0.2 and 0.4. Using those estimates, they calculate that in 1990 alone, more than half a million child deaths in the developing world could be attributed to poor economic performance in the 1980s.

Maternal education and child health: is there a strong causal relationship?

Abstract: Using data from the first round of Demographic and Health Surveys for 22 developing countries, we examine the effect of maternal education on three markers of child health: infant mortality, children s height-for-age, and immunization status. In contrast to other studies, we argue that although there is a strong correlation between maternal education and markers of child health, a causal relationship is far from established. Education acts as a proxy for the socioeconomic status of the family and geographic area of residence. Introducing controls for husband’s education and access to piped water and toilet attenuate the impact of maternal education on infant mortality and children’s height-for-age. This effect is further reduced by controlling for area of residence through the use of fixed-effects models. In the final model. maternal education has a statistically significant impact on infant mortality and height-forage in only a handful of countries. In contrast. maternal education remains statistically significant for chidren’s immunization status in about one-half of the countries even after individual-level and community-level controls are introduced.