Racial and Ethnic Differences in Birthweight: The Role of Income and Financial Assistance

This paper attempts to explain the differences in birthweight observed between blacks, white Anglos, Chicanos, and other racial and ethnic groups. The analysis focuses on the role of income and financial assistance from relatives and public programs. Using data from the NLS Youth Panel, I construct a causal model of birthweight containing exogenous social and demographic risk factors and intervening proximate determinants of birthweight. A substantial part of the gap in birthweight between white Anglos and other ethnic groups (especially blacks) can be explained by the unfavorable socioeconomic and demographic characteristics of the latter. On the other hand, blacks and other minorities smoke less and have other favorable proximate characteristics that depress differences in birthweight. When these proximate determinants are controlled, large ethic differences in birthweight remain unexplained by income and other sociodemographic factors.     

Estimation of a structural model of the determinants of neonatal mortality in Hungary, 1984-88 and 1994-98

We developed and evaluated a structural model of the determinants of neonatal mortality in Hungary that embodies the causal mechanisms by which its proximate and indirect determinants--socio-economic, behavioural, and biological--are related. The statistical model used distinguishes between endogenous and exogenous variables and allows the causal effect of each to be correctly estimated. Unobserved variables are integrated into the model, which was tested using Hungarian data for the periods 1984-88 and 1994-98. The principal findings are as follows: weight at birth and duration of gestation are the most important of the (direct) causal determinants of neonatal mortality. Mother's age has an indirect and detrimental effect: when mothers are older than 30 years of age, the risk of lower birth weight or multiple births and, in consequence, neonatal mortality is increased. Father's age has no direct or indirect causal effect on neonatal mortality.     

Parental investment responses to a low birth weight outcome: who compensates and who reinforces?

This study analyzes how parental investment responds to a low birth weight (LBW) outcome and finds important differences in investment responses by maternal education. High school dropouts reinforce a LBW outcome by providing less investment in the human capital of their LBW children relative to their normal birth weight children whereas higher educated mothers compensate by investing more in their LBW children. In addition, an increase in the number of LBW siblings present in the home raises investment in a child, which is consistent with reinforcement, but this positive effect tends to be concentrated among high school dropouts. These results suggest that studies analyzing the effects of LBW on child outcomes that do not account for heterogeneity in investment responses to a LBW outcome by maternal education may overestimate effects of LBW on child outcomes for those born to low-educated mothers and underestimate such effects for those born to high-educated mothers.     

Race/ethnic differences in respiratory problems among a nationally-representative cohort of young children in the United States

Using data from a nationally-representative cohort of young children in the United States, we ask the following: (1) Are there race/ethnic and birth weight differentials in the likelihood of developing respiratory problems by age three in a nationally representative birth cohort? (2) To what extent does birth weight, vis-á-vis other key sociodemographic risk factors, mediate race/ethnic differentials in reported respiratory problems? (3) Does the effect of birth weight on respiratory problems risk differ by race? We find that non-Hispanic black children are 1.7 times as likely as non-Hispanic white children to be reported to have respiratory problems by age three, while the risk for Hispanic children is similar to that of non-Hispanic white children. Birth weight is also very strongly related to respiratory problem risk. Specifically, children born at very low weights (500–1499 g) have four times the odds of having respiratory problems of heavier children. Statistical controls for birth weight decrease the black-white differential by about 20%, while additional controls for sociodemographic factors reduce the race differential by an additional 35%. Finally, the net effect of birth weight is different for black and white children: whereas birth weight affects the risk of respiratory problems for black children only at low weights (<1500 g), it remains an important predictor of excess risk for white children up to 3500 g.

     

Subjective efficacy and ideal family size as predictors of favorability toward birth control

This study is an assessment of the relevance of subjective efficacy and ideal family size as predictors of favorability toward birth control. The samples considered are male factory workers in five developing nations. The effects of ideal family size and subjective efficacy are generally strong relative to those of education and the other social variables that are considered. The focus of the study is an analysis of whether subjective efficacy and ideal family size function more as independent determinants or more as intervening variables. Overall these psychological variables function more as independent determinants than as intervening variables, but in some samples these two functions are equally important.     

Determinants of fertility control in Korea

The objective of this study is to examine the socioeconomic and intervening determinants of fertility control in Korea. The conceptual framework applied here is based on the synthesis framework of fertility control developed by Easterlin and Crimmins. The data came from the 1974 Korean National Family Survey, which was conducted as part of the World Fertility Survey. The study focuses on the relative importance of the socioeconomic factors and intervening variables in the determination of fertility control. The most interesting finding is that there are only small differentials in fertility control by socioeconomic factors. The analysis emphasizes the importance of examining the determinants of fertility control in terms of the intervening variables, which include the components of natural fertility, desired family size, and costs of fertility control. These intervening variables provide general support for the theoretical predictions. Moreover, most of the coefficients for these variables are statistically significant at the .05 level. The analysis also shows that motivation for fertility control is an important factor in determining use of fertility control.     

Influences on Pregnancy-Termination Decisions in Matlab, Bangladesh

We investigate factors affecting women’s decisions to terminate pregnancies in Matlab, Bangladesh, using logistic regression on high-quality data from the Demographic Surveillance System on more than 215,000 pregnancies that occurred between 1978 and 2008. Variables associated with the desire not to have another birth soon (very young and older maternal age, a greater number of living children, the recent birth of twins or of a son, a short interval since a recent live birth) are associated with a greater likelihood of pregnancy termination, and the effects of many of these explanatory variables are stronger in more recent years. Women are less likely to terminate a pregnancy if they don’t have any living sons or recently experienced a miscarriage, a stillbirth, or the death of a child. The higher the woman’s level of education, the more likely she is to terminate a pregnancy. Between 1982 and the mid-2000s, pregnancy termination was significantly less likely in the area of Matlab with better family planning services.     

Low birth weight,social factors,and developmental outcomes among children in the United States

We used six waves of the National Longitudinal Survey of Youth-Child Data (1986-1996) to assess the relative impact of adverse birth outcomes vis-à-vis social risk factors on children's developmental outcomes. Using the Peabody Individual Achievement Tests of Mathematics and Reading Recognition as our outcome variables, we also evaluated the dynamic nature of biological and social risk factors from ages 6 to 14. We found the following: (1) birth weight is significantly related to developmental outcomes, net of important social and economic controls; (2) the effect associated with adverse birth outcomes is significantly more pronounced at very low birth weights (< 1,500 grams) than at moderately low birth weights (1,500-2,499 grams); (3) whereas the relative effect of very low-birth-weight status is large, the effect of moderately low weight status, when compared with race/ethnicity and mother's education, is small; and (4) the observed differentials between moderately low-birth-weight and normal-birth-weight children are substantially smaller among older children in comparison with younger children.     

Unmarried Motherhood: Recent Trends,Composition, and Black-White Differences

The National Survey of Family Growth (1982) is used to examine the extent to which racial differences in premarital birth rates can be explained by differences in parents' socioeconomic status, family structure, and residential characteristics. The findings document a large diversity in premarital births within both populations. Black women from high-risk backgrounds are three times more likely to have a premarital birth than black women from low-risk backgrounds. Racial differences in premarital births arise because (1) black women are more likely to come from high-risk backgrounds and (2) black women from low-risk backgrounds are more likely to have a premarital birth than white women with similar characteristics. There are similar rates of premarital births by race among persons from high-risk backgrounds.     

As low birth weight babies grow,can well-educated parents buffer this adverse factor? A research note

This research note combines two national Taiwanese data sets to investigate the relationships among low birth weight (LBW) babies, their parents' educational levels, and their future academic outcomes. We find that LBW is negatively correlated with the probability of such children attending college at age 18; however, when both parents are college or high school graduates, such negative effects may be partially offset. We also show that discrimination against daughters occurs, but only for daughters who were LBW babies. Moreover high parental education can buffer the LBW shock only among moderately LBW children (as compared with very LBW children) and full-term LBW children (as compared with preterm LBW children).     

Good Health is Not the Same as a Good Life: Survey Results from Brandon,Manitoba

The aim of this investigation was to obtain some baseline self-reported data on the health status and overall quality of life of a sample of residents of the city of Brandon, Manitoba aged 18 years or older, and to measure the impact of a set of designated health determinants, comparison standards and satisfaction with diverse domains of life on their health and quality of life. In May and June 2010, 2,500 households from the city of Brandon, Manitoba were randomly selected to receive a mailed out questionnaire and 518 useable, completed questionnaires were returned. Baseline health status data were obtained using the 8 SF-36 dimensions of health and 13 items from the United States Centers for Disease Control and Prevention, Behavioral Risk Factor Surveillance System. Determinants of health and overall quality of life included measures of socializing activities, a Good Neighbourhood Index, Social Support Index, Community Health Index, a measure of free-time exercise levels, health-related behaviours, use of drugs, health care issues, a set of domain-specific quality of life items, a set of measures concerning criminal victimization, worries and behaviours concerning victimization and the basic postulates of Multiple Discrepancies Theory. Overall life assessment, dependent variables included Average Health, happiness, a single item measure of satisfaction with life as a whole, a single item measure of satisfaction with the overall quality of life, the Satisfaction With Life Scale, Contentment with Life Assessment Scale and a Subjective Wellbeing Index. Using multiple regression, we explained as much as 75% of the variance in Subjective Wellbeing scores and as little as 45% in happiness scores. Four clusters of health determinants explained from 20% (Happiness) to 44% (Average Health) of the variance in the dependent variables. Adding comparison standards and domain satisfaction scores to the set of health determinants increased our total explanatory power by only 2% points for Average Health (from 44 to 46%), but more than doubled our explanatory power for Happiness (from 20 to 45%) and for satisfaction with the overall quality of life (from 31 to 67%). As well, our explanatory power for the single item of Life Satisfaction increased from 34 to 66%, for the Satisfaction With Life Scale from 39 to 74%, for the Contentment With Life Assessment Scale from 36 to 60%, and for Subjective Wellbeing from 42 to 75%. This provided very clear evidence that self-perceived good health is not equivalent to perceived quality of life, confirming evidence reported in our earlier studies. The three most important take-home messages from this investigation are (1) in assessing the relative influence of any alleged determinants of health and the quality of life, different sets of alleged determinants will appear to be more or less influential for different dependent variables. Therefore, (2) researchers should use diverse sets of determinants and dependent variables and (3) it is a big mistake to use measures of health status as if they were measures of the perceived quality of life.     

Binary outcomes and endogenous explanatory variables: Tests and solutions with an application to the demand for contraceptive use in tunisia

Many demographic studies examine discrete outcomes, and researchers often suspect that some of the explanatory variables may be influenced by the same unobserved factors that determine the discrete outcome under examination. In linear models, the standard solution to this potential endogeneity bias is an estimator such as two-stage least squares. These methods have been extended to models with limited dependent variables, but there is little information on the performance of the methods in the types of data sets typically used in demographic research. This paper helps to fill this gap. It describes a simple analytic framework for estimating the effects of explanatory variables on discrete outcomes, which controls for the potential endogeneity of explanatory variables. It also discusses tests for exogeneity and joint determination of the outcomes and the explanatory variables. It summarizes the results of a Monte Carlo study of the performance of these techniques and uses these results to suggest how researchers should approach these problems in practice. We apply these methods to the examination of the impact of fertility intentions on contraceptive use, based on data from the 1988 Tunisia Demographic and Health Survey.     

Business Cycles,Medicaid Generosity,and Birth Outcomes

Birth outcomes influence many aspects of later life health and wellbeing, making healthcare access during pregnancy a policy priority. Low-income mothers often depend on Medicaid, for which eligibility is determined by their income relative to state eligibility thresholds. The prevalence of adverse birth outcomes is known to exhibit cyclical variation, due in part to changes in the composition of women giving birth in response to changing economic conditions. However, cyclical variation in adverse birth outcomes also varies with respect to Medicaid eligibility thresholds. Our analysis uses birth-records data for 2000 through 2013, aggregated into 173,936 county-by-quarter observations and linked to county-level unemployment rates and state-level parental Medicaid thresholds. Using fixed-effects negative binomial models, we examine the role of Medicaid generosity in influencing birth outcomes across business cycles. We test for interactions between Medicaid and unemployment, hypothesizing that the negative effects of recessions are worse where Medicaid thresholds are more restrictive. We find that higher Medicaid generosity dampens the negative effects of recessions on birth outcomes. The extent to which Medicaid interacts with unemployment also varies according to the age and race composition of mothers; in particular, Black mothers are both most affected by unemployment and most responsive to Medicaid generosity. Given current concerns about racial gaps in both infant and maternal mortality, our findings suggest that Medicaid may be an important feature of a strategy to close gaps in the prevalence of adverse birth outcomes across racial groups, especially during bust years.     

Effects of the timing of marriage and first birth of the spacing of subsequent births

Analyzing data from a fifteen-year follow-up survey of high school students originally surveyed in 1957–58 and resurveyed in 1973–74, this paper examines the effects of the timing of marriage and first birth on subsequent child spacing, holding constant the effects of other variables that may be sources of spuriousness. The results suggest that age at first marriage has a causal effect on the occurrence of a short first birth interval and that age at first marriage and premarital pregnancy interact in their effect on the occurrence of a short second birth interval. Age at first marriage has no causal effect on the spacing of the second birth for those whose first child was maritally conceived. The spacing of the first birth, however, appears to have a causal effect on the spacing of the second.     

Hormonal Contraceptive Use and Discontinuation Because of Dissatisfaction: Differences by Race and Education

The unintended pregnancy rate in the United States remains high, and there are large race and education differences in unintended pregnancy and fertility. These differences make it important to study race and education differences in contraceptive behavior. Using nationally representative data from the 2002 National Survey of Family Growth, this study examines the effects of race and education on the likelihood that women have ever used particular types of hormonal contraception and have ever discontinued hormonal contraception because of dissatisfaction. The results show that blacks and Latinas were more likely to have used injectable contraceptives (??the shot??) and less likely to have used oral contraceptives (??the pill??) than were white women. Women with less education were more likely than college-educated women to have used the shot but there were no significant education differences in use of the pill. Among women who had ever used hormonal birth control, those with less than a college degree were more likely than college-educated women to discontinue the birth control because of dissatisfaction. However, net of education, this study found no significant racial/ethnic differences in discontinuation. The most commonly stated reason for discontinuation because of dissatisfaction was side effects.     

Race differences in age at first birth and the pace of subsequent fertility: Implications for the minority group status hypothesis

We examine race differences in the effects of age at first birth on the pace of subsequent fertility. If race differences in the pace of fertility persist net of age at first birth and socioeconomic variables, they will be taken as new support for the minority group status hypothesis. Data from the 1973 National Survey of Family Growth are analyzed with the finding that race differences in the pace of fertility are real, giving support to the hypothesis. Implications are drawn suggesting that the proper points at which to examine group differences in fertility are the different stages in the process which culminates in completed fertility, rather than limiting investigation to the final product.     

Racial differences in occupational status and income in South Africa, 1880 and 1881

Using data on employed men from the 1980 and 1991 South African Censuses, we analyze the determinants of occupational status and income. Whites are found to have much higher occupational status, and especially income, than members of other racial groups. Most of the racial differentials in occupational status can be explained by racial differences in the personal assets that determine occupational attainment (especially education), but only a much smaller fraction of the White/non-White income differential can be so explained. Despite a modest reduction between 1980 and 1991 in the role of race in socioeconomic attainment, the overall picture shows more stability than change.     

Does Country Matter for Subjective Well-Being?

It is known that characteristics of individuals explain only a part of the variations in Subjective Well-Being (SWB) between people. The country of origin of an individual accounts for a significant part of these differences. We study what drives the variations in SWB between countries after taking individual characteristics into account. We base our analysis on data from the four waves of the World Values Survey. 64% of the variations between the countries in the sample (64 countries) are explained by the natality rate, life expectancy, the level of corruption and a Muslim culture. This adds to the discussion on the link between economic conditions and SWB. The economic situation is not an explanatory variable in a direct way but indirectly affects SWB through some of the significant variables. Corruption has detrimental effects on SWB beyond its economic consequences.     

The perceived quality of life in Norway: Regional variations and contextual effects

This article deals with perceived quality of life and its relationship to sociodemographic background variables in Norway. We try to answer two questions, viz (1) to what extent does the absolute level of quality of life as well as the relationships between quality of life and individual-level sociodemographic variables vary between Norwegian counties? and (2) are such variations related to specific characteristics of the various counties? Some between-county variation is found, but in most cases the pattern of variation is not replicated across surveys. For variation in the absolute level of QOL as well as in the relationship between an individual's education and QOL, however, there is a moderate degree of stability. Contextual analyses show that the relationship between education and QOL is positive and moderately strong in affluent counties, near zero or negative in economically more backward areas. The results are interpreted within the framework of a person-environment fit model.