Homogamy by education and migration status in Monterrey,Mexico: changes and continuities over time

This paper reviews changes in homogamy by migration status and educational level in Monterrey, Mexico, through the analysis of marriage patterns for two cohorts of men born in 1905–1934 and 1940–1969. Results show a significant increase in educational homogamy, as well as in homogamy by rural origins. The changes suggest that education has played an increasingly important role in the process of mate selection, although certain particularistic characteristics, such as being a rural immigrant, are still important in marriage formation. The paper concludes with a discussion of the implications of these findings for the relationship between homogamy and social stratification.

Welfare judgments and future generations

The author argues that long-range welfare policies - policies designed to provide significant, widespread, continuing benefits to future generations, remote as well as near, at some cost to ourselves - cannot be justified by appeal to the welfare of remote future generations. He questions whether they can be justified at all. The problem is that the failure to adopt such a policy would not make any of our distant descendants worse off that he would otherwise be, since had the policy been adopted, he would not even have existed. These considerations also bring out a conflict between utilitarian and Paretian principles.     

On misunderstanding ‘understanding’

Philosophers of Science have recently put a good deal of energy into locating the precise methodological boundaries between the natural and the social sciences. The methodological affinities of the latter with certain aspects of the humanities have been as yet too little explored. A convenient starting point for this discussion, and one which is adopted in this paper, is a reconsideration of the role and nature of interpretive understanding in the social sciences. However, before a serious examination of this issue can be undertaken, a clearing operation on the encrusted misunderstandings which are part of the legacy of logical positivism is necessary. In this paper I argue that the neo-positivistic account of understanding rests on a misunderstanding of the concept; that a more adequate conception of the issues involved - and one closer to the traditional Verstehen problematic of Dilthey et al. - can be gleaned from the work of Peter Winch; and that this development is furthered in a number of important respects by recent work done in hermeneutic philosophy - especially that of H.-G. Gadamer. The discussion of Gadamer suggests that the problem of locating the boundaries with the humanities might be as serious a problem for the theory of the social sciences as has been that concerning the natural sciences. The paper concludes with several suggestions as to the implications of the analysis of understanding for the thesis of the methodological unity of the sciences.     

Making Sense of the Census: Why Sampling Might Not Be so Simple

Population and Environment -     

Moving and union dissolution

This paper examines the effect of migration and residential mobility on union dissolution among married and cohabiting couples. Moving is a stressful life event, and a large, multidisciplinary literature has shown that family migration often benefits one partner (usually the man) more than the other Even so, no study to date has examined the possible impact of within-nation geographical mobility on union dissolution. We base our longitudinal analysis on retrospective event-history data from Austria. Our results show that couples who move frequently have a significantly higher risk of union dissolution, and we suggest a variety of mechanisms that may explain this.     

Relationships Between Population Density and the Perceived Quality of Neighbourhood

Two overseas survey-based scales measuring perceived quality of neighbourhood were adapted and replicated in a New Zealand context. An Italian study (Bonaiuto, Fornara, and Bonnes. (2003). Landscape and Urban Planning, 65, 41–52) measuring Perceived Residential Environmental Quality (PREQ) and an American study (Carp and Carp. (1982). Journal of Environmental Psychology, 2, 295–312) using the Perceived Environmental Quality Indices (PEQI) were applied to a sample of Auckland residents, separated into low, medium, and high population density areas. The surveys measured attitudes towards subjects such as noise, neighbours, accessibility, green areas, welfare services, recreational services, safety, maintenance, environmental health, transport services, and characteristics of an ideal neighbourhood, and were completed by 369 respondents. Primary analyses examined differences in perception across the three density groups. The factor structures of both scales were replicated with the Auckland sample, and differences across densities were found for subscales of the PREQ. The results are discussed in relation to the cross-cultural similarities of perceived environmental quality, and the concept that environmental satisfaction is based on balancing aspects of the residential environment is proposed. This research was conducted for the Foundation for Research, Science, and Technology under contract OPSX401.     

ON PREDICTING COMPUTATIONAL TIME OF A BRANCH AND BOUND ALGORITHM FOR THE ASSIGNMENT OF FACILITIES

Experience with branch and bound algorithms indicates that computational time is a function of not only the size of the problem, but also the nature of the input data. This paper formulates statistically-based variables which describe certain characteristics of the input data and experimentally evaluates their ability to predict computational time for one branch and bound algorithm, the relative location of facilities or “plant layout” problem. Results suggest that the described experimental procedure may be useful for an a priori assessment of the computational difficulty of specific branch and bound problems.     

Longitudinal Links between Adolescent and Peer Conduct Problems and Moderation by a Sensitivity Genetic Index

The most extensively studied influence on adolescent conduct problem behaviors is peers, and the literature points to genetics as one source of individual differences in peer influence. The purpose of this study was to test the hypothesis that an environmental sensitivity genetic index comprised of DRD4, 5‐HTTLPR, and GABRA2 variation would moderate the association between peer and adolescent conduct problems. Latent growth modeling was applied to PROSPER project longitudinal data from adolescents and their peers. Results showed the hypothesis was supported; adolescents with more copies of putative sensitivity alleles were more strongly influenced by their peers. The interaction form was consistent with differential susceptibility in follow‐up analyses. Strengths and weaknesses of genetic aggregates for sensitivity research are discussed.     

An Integrated Risk Assessment Model of Township‐Scaled Land Subsidence Based on an Evidential Reasoning Algorithm and Fuzzy Set Theory

Land subsidence risk assessment (LSRA) is a multi‐attribute decision analysis (MADA) problem and is often characterized by both quantitative and qualitative attributes with various types of uncertainty. Therefore, the problem needs to be modeled and analyzed using methods that can handle uncertainty. In this article, we propose an integrated assessment model based on the evidential reasoning (ER) algorithm and fuzzy set theory. The assessment model is structured as a hierarchical framework that regards land subsidence risk as a composite of two key factors: hazard and vulnerability. These factors can be described by a set of basic indicators defined by assessment grades with attributes for transforming both numerical data and subjective judgments into a belief structure. The factor‐level attributes of hazard and vulnerability are combined using the ER algorithm, which is based on the information from a belief structure calculated by the Dempster‐Shafer (D‐S) theory, and a distributed fuzzy belief structure calculated by fuzzy set theory. The results from the combined algorithms yield distributed assessment grade matrices. The application of the model to the Xixi‐Chengnan area, China, illustrates its usefulness and validity for LSRA. The model utilizes a combination of all types of evidence, including all assessment information—quantitative or qualitative, complete or incomplete, and precise or imprecise—to provide assessment grades that define risk assessment on the basis of hazard and vulnerability. The results will enable risk managers to apply different risk prevention measures and mitigation planning based on the calculated risk states.     

Conditional covariance penalties for mixed models

The prediction error for mixed models can have a conditional or a marginal perspective depending on the research focus. We introduce a novel conditional version of the optimism theorem for mixed models linking the conditional prediction error to covariance penalties for mixed models. Different possibilities for estimating these conditional covariance penalties are introduced. These are bootstrap methods, cross-validation, and a direct approach called Steinian. The behavior of the different estimation techniques is assessed in a simulation study for the binomial-, the t-, and the gamma distribution and for different kinds of prediction error. Furthermore, the impact of the estimation techniques on the prediction error is discussed based on an application to undernutrition in Zambia.