Child health,breast-feeding,and survival in Malaysia: a random-effects logit approach

This study examines the possibility that estimation of the effect of breast-feeding on infant survival is affected by selection bias, in that children who are healthier at birth may be more likely to be breast-fed. Data are from the 1976 Malaysian Family Life Survey. "Ordinary logit models for breast-feeding and survival are estimated, and the results suggest that selection is indeed present. For example, children of higher birth weight appear to be more likely to be breast-fed and likely to survive. In addition, weight at birth and the duration of breast-feeding appear to be linked." Using birth weight as an indicator for the child's health, the authors conclude that "the direct influence of breast-feeding on survival remains of overwhelming importance even after corrections for selection bias are made."     

Computer support of placement planning: the use of expert systems in child welfare

Computers have become commonplace in nearly every setting, from home to office. In addition to their usefulness for managerial tasks, they have the potential to aid the primary decision-making tasks of professional social service workers. The benefits and background of such "expert systems" are explored, and the structure of one experimental consulting program for child welfare workers, PLACECON, is presented.     

How bad can a voting location be

Two questions concerning the location of a single facility by a voting process are investigated for transportation networks:

- What is the maximum number of customers located on the network preferring some rival point over a voting solution?

- How does the average distance of the customers to the facility increase when a voting location instead of a Weber location is chosen for the facility?

Complete answers are given for general networks and for certain planar networks, viz., the so-called generalized cacti.     

Selectivity,adaptation, or disruption? A comparison of alternative hypotheses on the effects of migration on fertility: the case of Brazil

This study, based on Brazilian data from 1976, compared the fertility of migrants and stayers at both origin and destination areas. Observed patterns of fertility differentials were then analyzed in terms of 4 hypotheses of fertility behavior focused on processes of socialization, adaptation, selectivity, and disruption. In the study sample, 31% of migrants moved from rural to urban areas, 45% of moves were between urban areas, and 20% of moves were between rural areas. Among rural-to-urban migrants, only 1/3 moved from traditional to modern regions. To uncover the main patterns of migrant and stayer fertility differentials in the study population, the major flows of migrants by origin and destination were disaggregated by recency of migration, education, and age. The overall conclusions were as follows: 1) rural-urban migration flows need to be disaggregated into various modern/traditional cross-classifications (e.g., modern-rural, traditional-urban, frontier-urban) and greater emphasis needs to be placed on rural-urban, urban-urban, and rural-rural flows; 2) no robust quantitative measures of migrant-stayer fertility differentials held across migrant groups, implying that migrants differing in terms of age, education, origin, and destination are likely to behave in significantly variable fashion with regard to stayer standards of fertility behavior; 3) migrant groups with overall lower fertility levels, such as the young and better educated, are less likely to experience significant fertility reduction to bridge the origin/destination fertility gap; 4) rural-to-rural migrants do not appear to experience any lasting fertility reduction even when they move to areas with lower overall fertility rates; 5) urban-to-rural migrants tend to bridge a larger fraction of the uphill fertility gap than rural-to-urban migrants; and 6) there was evidence of partial adaptation for most migrant categories once disruption effects disappear and evidence consistent with the socialization hypothesis (no fertility reduction for at least 1 generation) was apparent for migrants originating in the least developed parts of Brazil, the frontier region, and the traditional-rural region.     

Adjustment of provisional mortality series: the dynamic linear model with structured measurement errors

The authors "consider the problem of adjusting provisional time series using a bivariate structural model with correlated measurement errors. Maximum likelihood estimators and a minimum mean squared error adjustment procedure are derived for a provisional and final series containing common trend and seasonal components. The model also includes measurement errors common to both series and errors that are specific to the provisional series. [The authors] illustrate the technique by using provisional data to forecast ischemic heart disease mortality."