Gini’s nuclear family

The purpose of this paper is to justify the use of the Gini coefficient and two close relatives for summarizing the basic information of inequality in distributions of income. To this end we employ a specific transformation of the Lorenz curve, the scaled conditional mean curve, rather than the Lorenz curve as the basic formal representation of inequality in distributions of income. The scaled conditional mean curve is shown to possess several attractive properties as an alternative interpretation of the information content of the Lorenz curve and furthermore proves to yield essential information on polarization in the population. The paper also provides asymptotic distribution results for the empirical scaled conditional mean curve and the related family of empirical measures of inequality.      

The merton thesis: Oetinger and German Pietism,a significant negative case

The Merton thesis identifies two movements — English Puritanism and German Pietism — as causally significant in the development of the scientific revolution of the 17th and 18th centuries. It attributes this connection to a strong compatibility between the values of ascetic Protestantism and those associated with modern science. This article questions Merton's conclusion regarding one of these movements, German Pietism, by arguing that the Pietist ethos stood in sharp conflict with what Merton has called the normative structure of science. One manifestation of this conflict involves Friedrich Oetinger's articulation of a contending religious-mystical conception of science, which assigned a central place to feeling, intuition, the role of the divine, and a qualitative approach to nature. This conception of science, it is argued, provides the clearest indication of the conceptual and valuative distance that tended to separate Pietists from the new science of the 17th and 18th centuries.An earlier version of this article was presented at the 1990 meeting of the Society for the Scientific Study of Religion, in Virginia Beach.     

Seasonal patterns of fertility measures: theory and data

The distribution of births by month exhibits a seasonal pattern in most populations. The monthly marital fertility rate for an area of Bangladesh provides a good example of the seasonal periodicity. Seasonal patterns of measures of reproduction in a population of married women are considered. Equations are developed that predict the seasonal patterns of these alternative measures under the assumption that the fertility rate (R) follows a trigonometric curve. This is followed by an empirical analysis of the measures in a Bangladesh population that has a pronounced seasonal fertility. The investigation is intended both to validate the theoretical framework developed in the 1st part of the paper as well as to determine whether seasonal variation in actual populations is sufficiently large to affect the alternative measures significantly. 4 measures are considered: pregnancy prevalence (PP)--the proportion of married women who are pregnant at the survey date; mean open birth interval (MOI)--the time from the last live birth to the date of the survey for parous women and from the time of marriage to the date of the survey for nulliparous women; mean closed interval-birth (MCIB)--the mean interval between the last 2 live births for married women who have a birth in the period immediately preceding the survey date; and mean closed interval-woman (MCIW)--the mean interval between the last 2 live births for women who have had at least 2 children by the time of the survey. It is assumed that the seasonal pattern of the fertility rate of a population follows a cosine curve and that there is no trend in annual fertility from year to year. The lag and relative variability of the other measures are considered in comparison with the fertility rate curve. The predictions from this theoretical effort, when compared with observed patterns and trigonometric regression results for each measure in data from Bangladesh, are shown to be quite accurate. The figure and regression results show that R, PP, and MOI have definite seasonal periodicity, but MCIB and MCIW do not display any seasonal patterns. If there is a secular trend in fertility in addition to seasonality, these relationships between the seasonal patterns of the measures may no longer hold. There is a disadvantage to using closed interval measures, for they are unable to detect effects of limiting of childbearing in a population since they are based only on information from women who have births.     

Contraceptive behavior among unmarried young women: A theoretical framework for research

Adoption of the most effective methods of contraception requires individual decision-making and negotiation with contraceptive providers. In order to take account of both behavioral elements, a two-dimensional framework for understanding contraceptive adoption and continuation by unmarried young is proposed, incorporating a "social-psychological model" of individual decision-making and an "interpersonal model" of factors affecting provider-client interaction. The social-psychological model is based on an earlier value-expectancy theory of behavior motivation as applied to health-related behaviors. The interpersonal model is derived from conflict-bargaining perspectives on professional-client interaction; it is suggested that expectations for this interaction are based on a limited number of internalized "models": the "professional"; the "bureaucratic"; the "commercial"; and the "parental." Insofar as client and professional "models" disagree, communication may break down and client understanding and/or acceptance of provider advice cannot be assured. The components of the social-psychological and interpersonal models are described in detail, and a combined framework is proposed.     

The sand lizard moves downtown – habitat analogues for an endangered species in a metropolitan area

Urban Ecosystems - Urbanisation can be dangerous to biological diversity, but on the other hand cities can enhance local and regional biodiversity by providing habitat analogues for many –...     

Approximate Bayesianity of Frequentist Confidence Intervals for a Binomial Proportion

The well-known Wilson and Agresti–Coull confidence intervals for a binomial proportion p are centered around a Bayesian estimator. Using this as a starting point, similarities between frequentist confidence intervals for proportions and Bayesian credible intervals based on low-informative priors are studied using asymptotic expansions. A Bayesian motivation for a large class of frequentist confidence intervals is provided. It is shown that the likelihood ratio interval for p approximates a Bayesian credible interval based on Kerman’s neutral noninformative conjugate prior up to O(n^{? 1}) in the confidence bounds. For the significance level α ? 0.317, the Bayesian interval based on the Jeffreys’ prior is then shown to be a compromise between the likelihood ratio and Wilson intervals. Supplementary materials for this article are available online.     

From classes to copulas: wages,capital, and top incomes

Public debates about the rise in top income shares often focus on the growing dispersion in earnings, and the soaring pay for top executives and financial-sector employees. But can the change in the marginal distribution of earnings on its own explain the rise in top income shares? Are top executives replacing capital owners in the group of top-income earners, or are we rather witnessing a fusion of top capital and top earnings? This paper proposes an extension of the copula framework and uses it for exploring the changing composition of top incomes. It illustrates that changes in top income shares can easily be decomposed into respective changes in the marginal distributions of labour and capital income and the changing association between the two types of income. An application using tax record data from Norway shows that the association between top labour and capital incomes grew stronger between 1995 and 2005 in the top half of the wage and capital income distribution, though it declined for the top 1% of capital income receivers. A gender decomposition demonstrates that the association of wage and capital incomes at the top is particularly striking for men, whilst women are largely under-represented in the top halves of the two marginal distributions.     

Kontexteffekte in Familien – Angleichung von Paaren und intergenerationale Transmission am Beispiel Religiosität

The present contribution shows conceptual and methodological approaches for the study of social context effects within families. Family members mutually constitute the social context in which family behavior and personality development take place. Social influence in families becomes evident empirically in family members’ significant similarity concerning a wide variety of characteristics. The present study focuses on intrafamily convergence with regard to religiousness. In an empirical illustration, both (a) horizontal intracouple alignment and (b) vertical intergenerational transmission processes are examined. Besides the finding that experiences during religious socialization in the parental home have a stronger impact than partner influences in adulthood, our analyses show that social context effects are more pronounced the stronger the cohesion of the respective interaction dyad is (e.g., according to measures of relationship quality).     

Improving Weight of Evidence Approaches to Chemical Evaluations

Federal and other regulatory agencies often use or claim to use a weight of evidence (WoE) approach in chemical evaluation. Their approaches to the use of WoE, however, differ significantly, rely heavily on subjective professional judgment, and merit improvement. We review uses of WoE approaches in key articles in the peer‐reviewed scientific literature, and find significant variations. We find that a hypothesis‐based WoE approach, developed by Lorenz Rhomberg et al., can provide a stronger scientific basis for chemical assessment while improving transparency and preserving the appropriate scope of professional judgment. Their approach, while still evolving, relies on the explicit specification of the hypothesized basis for using the information at hand to infer the ability of an agent to cause human health impacts or, more broadly, affect other endpoints of concern. We describe and endorse such a hypothesis‐based WoE approach to chemical evaluation.