Racial differences in contraceptive choice: Complexity and implications

Previous research has failed to generate consensus about why black fertility has persistently exceeded that of whites in the United States. In an effort to shed light on this question, this article examines black/white differences in sociodemographic factors affecting contraceptive choice. Using data from the 1976 and 1982 National Surveys of Family Growth, we find a complex pattern of black/white differences. Not only does contraceptive choice vary by race, but the effects of such variables as age, marital status, and education also differ between blacks and whites. For example, compared with whites, black married women avoid coital methods, and compared with blacks, white women shift contraceptive behavior more as they change marital status. The complex nature of the racial differences in contraceptive choice are interpreted as reflecting differences in marriage patterns and trends.     

Annual fertility rates from census data on own children: Comparisons with vital statistics data for the United States

This paper begins by describing the procedure and data requirements for calculating annual fertility rates from census data on own children. Then, using data from the United States Censuses of 1960 and 1970, fully adjusted estimates are presented and compared with recorded vital statistics rates. Total fertility estimates derived from own children data for whites average less than two percent lower than the recorded rates- a difference that can be attributed partially to the fact that the estimates are adjusted for net census undercount but the recorded rates are not. Even without adjustments for mortality, children not living with their mothers, and net census undercount, the own children data estimates accurately replicate recorded trends (even though the levels are misspecified). The utility of own children data for the study of differential fertility is discussed.     

Education and the changing age pattern of American fertility: 1963–1989

Using pooled data from the 1980, 1985, and 1990 Current Population Surveys, we describe fertility trends by age and education for the period 1963–1989. Interest focuses on whether the effects of education have changed across this period. We show that women with college degrees experienced dramatic shifts toward later ages of childbearing. This shift is consistent with arguments we develop about the increased opportunity for women to pursue careers and about changes in the availability of child care     

Analyzing fertility histories: Do restrictions bias results?

The straightforward tests we have conducted lead to two major conclusions. First, parameter estimates, such as the proportions that practice contraception or that breastfeed, can be biased in data restricted to the last closed and open interval. This is particularly true the further back in time one goes. However, the second conclusion is that these restrictions do not bias estimates of the structure of the relationships predicting fertility. This may seem surprising, and perhaps even magical. The reason is that multivariate life table techniques allow one to reach the same conclusion even if the proportions in various categories are altered by a criterion such as limiting the analysis to intervals begun by the last and next-to-last live births. Limiting the analysis in this way means that there are fewer short intervals and thus fewer cases of intervals with characteristics associated with short intervals (e.g., no contraceptive use, no breastfeeding, or infant mortality). As long as the model specified in the multivariate life table is an appropriate one, that is, it is not misspecified, and as long as the skew produced by the WFS restriction is not too extreme, then the multivariate life table procedures can produce unbiased estimates of the structure of the relationships predicting birth interval dynamics. Thus even though the WFS data are in fact inappropriate for some simple parameter estimation procedures, they appear to be adequate for the more complex multivariate procedures of the sort used here. Several caveats must be added to the foregoing results. First, we have performed this test in only one country, Korea; it is possible that the same results might not be obtained in other countries. We expect, however, that they would. Second, our procedure only looks at the first 40 months of experience in the birth interval. A procedure that incorporates the long tails of the birth interval distribution may obtain different results. In fact, we caution against analyzing the tail of the distributions using data from the normal WFS sample, since these would be most affected by the restriction to last closed and open intervals. Third, the extent to which these results are generalizable to other types of substantive problems is unknown at present. We suspect, however, that examining the determinants of lengths of breastfeeding will produce similar results. Finally, even with multivariate procedures, it would be highly misleading to impose the WFS restrictions and then examine trends in the length of birth intervals.(ABSTRACT TRUNCATED AT 400 WORDS)     

Child Spacing in the Philippines: The Effect of Current Characteristics and Rural Development

In this study the effects of characteristics current at the beginning of the birth interval on the time elapsing before the next birth are examined. The child-spacing process is viewed as affected by time-varying and fixed characteristics of the community, household, and individual. In the model on which the empirical research is based sociological and economic antecedents are used. The study is based on data from two panels of the Bicol Multipurpose Survey collected in 1978 and 1983. These furnish detailed histories of pregnancy and contraception, together with an extensive set of socio-economic data. Detailed information on services and facilities available in each of the 100 sample communities is also available. Because of the large rural development programme introduced in various sub-areas of the Bicol region, substantial changes in the rural infrastructure and in availability of health and family planning facilities and services occurred between 1976 and 1980, the period on which the analysis is focused. Our results clearly show that current characteristics at the individual, household, and community levels have significant and interpretable effects on the lengths of birth intervals.     

Determinants of Korean Birth Intervals: The Confrontation of Theory and Data

In this analysis, data from the Korean National Fertility Survey of 1974 are used to seek to explain differences in the pace of fertility in terms of differences in contraception, breastfeeding and other intermediate variables. Strong effects are found for these variables, particularly contraception. Nonetheless, virtually none of the effects of the socio-economic variables can be explained in our full model. Overall, our first models, which included only the socio-economic variables, contained 44 significant coefficients. With the introduction of the intermediate variables, only eleven of these coefficients became non-significant (while six others became significant). Thus, though using excellent data, we cannot begin to reproduce what theory predicts. The analysis suggests that this is a consequence of both measurement error and omitted intermediate variables, such as coital frequency. There are strong theoretical reasons for attempting to elucidate the mediating role of proximate variables by using individual data. Nonetheless, these findings, together with similar results obtained by others, strongly suggest that this is not likely to be a fruitful line of future endeavour.     

Adolescent Contraceptive Method Choices

This article analyzes determinants of contraceptive method choices among adolescent women in the United States. By using data from the 1982 National Survey of Family Growth, we examined factors that differentiate users of various methods early in the sexual careers of teenaged women. We find that patterns of method choice not only vary by race and region within the United States but also change over the teenager's life course. In addition, among teenagers who did not use a method at first sex, the likelihood of adopting a method soon thereafter was low for both whites and blacks and was unaffected by social structural characteristics.     

The quality and comparability of child care data in U.S. surveys

This paper examines the quality and comparability of child care data obtained from eight waves of data from four nationally representative data sources: the National Longitudinal Survey of Youth (1986 and 1988), the Survey of Income and Program Participation (1986, 1987, 1988, and 1990), the National Child Care Survey, and the National Survey of Families and Households. We examine whether different study designs and survey techniques for asking questions about child care produce similar results on both the levels and determinants of child care. We identified four main sources of difference in the data sets that could impact the quality and comparability of child care research: when the interview is conducted; screening questions used to determine who is asked about child care; the population of parents and children represented in the survey; and the way child care questions are asked. Our findings indicate that summer interviews and screening on mother's work status produce the largest differences in the levels and effects of child care across these studies. Even after removing the effects of summer interviews and screening questions, however, substantial differences exist across the studies.     

Social and spatial networks: Kinship distance and dwelling unit proximity in rural Thailand

We address a long hypothesized relationship between the proximity of individuals’ dwelling units and their kinship association. Better understanding this relationship is important because of its implications for contact and association among members of a society. In this paper, we use a unique dataset from Nang Rong, Thailand which contains dwelling unit locations (GPS) and saturated kinship networks of all individuals living in 51 agricultural villages. After presenting arguments for a relationship between individuals’ dwelling unit locations and their kinship relations as well as the particulars of our case study, we introduce the data and describe our analytic approach. We analyze how kinship – considered as both a system linking collections of individuals in an extended kinship network and as dyadic links between pairs of individuals – patterns the proximity of dwelling units in rural villages. The results show that in general, extended kin live closer to one another than do unrelated individuals. Further, the degree of relatedness between kin correlates with the distance between their dwelling units. Close kin are more likely to co-reside, a fact which drives much of the relationship between kinship relatedness and dwelling unit proximity within villages. There is nevertheless suggestive evidence of a relationship between kinship association and dwelling unit proximity among kin who do not live together.