Acculturation status and sexuality among female Cuban American college students

The authors examined relations among different measures of acculturation, and between acculturation and sexual behavior, in a sample of female Cuban American college students (n=61, M age = 18.4 years) who completed self-report surveys. In the first set of analyses, weak to moderate associations emerged among 4 measures of acculturation (birthplace, childhood language use, current language use, and ethnic identity), suggesting that inconsistent findings from prior research may have resulted from measurement limitations. In multivariate analyses, the authors examined predictors of sexual behavior and found that 1 aspect of acculturation (higher levels of ethnic identity) and background characteristics (being older and less religious) were associated with voluntary sexual intercourse. Moreover, higher levels on a sexual risk composite were associated with being born in the United States, more ethnically identified, older, and less religious. These analyses highlight the need for specificity in assessing acculturation in a college student population and support the need to examine cultural factors directly in sexuality research.     

Chronic Effects of Air Pollution are Probably Overestimated

Inappropriate measures of exposure, including inadequate consideration of latency in the analysis of chronic effects of air pollution, may lead to overestimation of the impact of air pollution on health effects. A relatively simple way to check the plausibility of results on chronic effects of air pollution would be to report in parallel the smoking‐associated risks.     

Parenting and children’s negative emotionality,self‐regulation,and academic skills: The moderating role of fathers’ residency

We examined whether fathers’ residency modified the associations among mothers’ supportiveness, father involvement, children’s negative emotionality during toddlerhood and children’s academic skills in pre‐kindergarten via children’s self‐regulation. Participants were 2,291 mothers (M_age = 23.24 years) and children (M_age = 14.99 months at Wave 1; 50.7% girls) in the Early Head Start Research and Evaluation Project. Results revealed distinctive associations by fathers’ residency: self‐regulation mediated the association between mothers’ supportiveness and academic skills only in resident‐father‐families. Self‐regulation mediated the association between negative emotionality and academic skills only in nonresident‐father‐families. The findings highlight the family processes of mothers, fathers, and children in low‐income family contexts that contribute to children’s academic skills, and how those family processes may vary by fathers’ residency status.     

Business model in IPO prospectuses: insights from Italian Innovation Companies

How do companies to be listed deal with the voluntary disclosure of their business model? Is it true that firms with greater intellectual capital resources and technological innovation endowments are less prone to full disclosure? This paper aims to examine the choices of voluntary disclosure of the business model made by three Italian manufacturing companies in initial public offering prospectuses. The objective is to explore whether any differences exist and may be related to the type of innovation underlying the firms’ business model. A series of interviews with the top management allows to deeply understand the business model of each company. A content analysis allows to measure the level of disclosure and identify the strategic concepts of the business model and their relevance. The study provides evidence that companies with a business model based on technology-push and design-driven innovation have a lower propensity to the full disclosure of their intangible resources, particularly of those based on knowledge as some could be also invisible. The paper contributes to the ongoing debate on the role of business and financial reporting.     

Microsimulating the Evolution of Italian Pension Benefits: the Role of Retirement Choices and Lowest Pensions Indexing

A few years after the introduction of the Amato and Dini laws, a renewed debate on reforming the Italian pension system and on modifying its structure and technical parameters is taking place. The present work simulates individual reactions to systemic changes, distinguishing among the different typologies of workers the categories of dependent (private and public) and self‐employed ones. This approach allows us to perform a general micro‐analysis of the effects of past reforms on family pension income distribution and average individual pension benefits. Furthermore, it makes it possible to assess the consequences of legislator's choices such as the indexation of the lowest pensions (‘assegni sociali’ and ‘pensioni integrate al minimo’) to wages or to inflation. Finally, a Monte Carlo analysis projects future inequality and poverty trends with a remarkable accuracy and allows to verify the robustness of our results.     

Working with and for the citizens

This article argues that a better management of increasingly complex socio-ecological systems would require to adopt evidence-based policy-making and improve the science–policy interface by means of participatory action research involving scientists, citizens and policy-makers. The connectivity between the production of scientific evidence by experts and the delivery of policies by policy-makers is currently unsatisfactory. There is the need to find more effective knowledge mechanisms between researchers and policy-makers. A new way of connecting scientists and policy-makers is to invite a “third player” to the game, i.e. the citizens and stakeholders who are interested in or affected by policy decisions, to perform pilot experiments of participatory research. Participatory research combines different forms of knowledge. “Objective” knowledge produced by scientific disciplines is needed to describe, explain or understand a phenomenon, but participatory research brings in the contribution of citizens' everyday knowledge, e.g. their intimate familiarity with their environment and social context. The approach is illustrated with the aid of examples provided by a number of EU-funded participatory research projects coordinated by ISIS: RAISE (www.raise-eu.org), MOVE TOGETHER (www.move-together.net) and AWARE (www.aware-eu.net).     

Estimation of spatial max-stable models using threshold exceedances

Parametric inference for spatial max-stable processes is difficult since the related likelihoods are unavailable. A composite likelihood approach based on the bivariate distribution of block maxima has been recently proposed. However modeling block maxima is a wasteful approach provided that other information is available. Moreover an approach based on block maxima, typically annual, is unable to take into account the fact that maxima occur or not simultaneously. If time series of, say, daily data are available, then estimation procedures based on exceedances of a high threshold could mitigate such problems. We focus on two approaches for composing likelihoods based on pairs of exceedances. The first one comes from the tail approximation for bivariate distribution proposed by Ledford and Tawn (Biometrika 83:169–187, 1996) when both pairs of observations exceed the fixed threshold. The second one uses the bivariate extension (Rootzén and Tajvidi in Bernoulli 12:917–930, 2006) of the generalized Pareto distribution which allows to model exceedances when at least one of the components is over the threshold. The two approaches are compared through a simulation study where both processes in a domain of attraction of a max-stable process and max-stable processes are successively considered as time replications, according to different degrees of spatial dependency. Results put forward how the nature of the time replications influences the bias of estimations and highlight the choice of each approach regarding to the strength of the spatial dependencies and the threshold choice.     

A Method for Computing the Fraction of Attributable Risk Related to Climate Damages

The recent decision of the U.S. Supreme Court on the regulation of CO₂ emissions from new motor vehicles^{( 1 )} shows the need for a robust methodology to evaluate the fraction of attributable risk from such emissions. The methodology must enable decisionmakers to reach practically relevant conclusions on the basis of expert assessments the decisionmakers see as an expression of research in progress, rather than as knowledge consolidated beyond any reasonable doubt.^{( 2,3,4 )} This article presents such a methodology and demonstrates its use for the Alpine heat wave of 2003. In a Bayesian setting, different expert assessments on temperature trends and volatility can be formalized as probability distributions, with initial weights (priors) attached to them. By Bayesian learning, these weights can be adjusted in the light of data. The fraction of heat wave risk attributable to anthropogenic climate change can then be computed from the posterior distribution. We show that very different priors consistently lead to the result that anthropogenic climate change has contributed more than 90% to the probability of the Alpine summer heat wave in 2003. The present method can be extended to a wide range of applications where conclusions must be drawn from divergent assessments under uncertainty.     

What kind of country we want for our children: an analysis of media coverage of the 2017 New Zealand General Election

ABSTRACT

This article is the third in a series investigating media reporting of New Zealand elections. Based on content analysis of 510 articles published in the New Zealand Herald, and thematic analysis of a subset of news stories related to young people, the study examines media coverage of the 2017 elections by looking at the topics of news stories, presence of party policies, diversity of sources and references to social groups. Comparing the 2017 results with the results of the Herald’s coverage of 2014 elections, we register a shift towards a stronger presence of policy issues, more female voices in the reports and significantly higher reference to young people. We further investigated the high number of references to young people by conducting qualitative analysis on the subset of articles mentioning young people.     

Inequality decompositions—a reconciliation

We show how classic source-decomposition and subgroup-decomposition methods can be reconciled with regression methodology used in the recent literature. We also highlight some pitfalls that arise from uncritical use of the regression approach. The LIS database is used to compare the approaches using an analysis of the changing contributions to inequality in the United States and Finland.