Use of exponential power distributions for mixture models in the presence of covariates

In this paper, we present a Bayesian analysis of exponential power mixture models in the presence of a covariate. Considering Gibbs sampling with MetropolisHastings algorithms, we obtain Monte Carlo estimates for the posterior quantities of interest.     

Measuring and understanding trade in service tasks

The revolution in information and communications technologies has put service tasks with strong tradability characteristics at high risk of being offshored. This article reviews studies proposing indicators of service tradability, exploring the labour market implications of service offshoring and developing theories to rationalize the facts. It suggests that both skill intensity and tradability are determinants of wage and employment effects. Nonetheless, the lack of widely accepted definitions of tradability, the absence of high‐quality data on service trade flows and the difficulty of measuring import competition at higher disaggregation levels pose difficulties in achieving further progress, pointing to areas for future research.     

Correction to: Comparison of joint control schemes for multivariate normal i.i.d. output

AStA Advances in Statistical Analysis - In the original paper, we incorrectly stated that...     

Unveiling Research Trends for Organizational Reputation in the Nonprofit Sector

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Public scrutiny and the need for funds in a more competitive environment are pressuring nonprofits to be more consciously...     

Between two Beneditos: enslaved wet-nurses amid slavery’s decline in southeast Brazil

ABSTRACT

This article discusses a series of questions related to the presence of enslaved women, female slaves working toward contractual or bequeathed freedom, and freedwomen in the domestic sphere in the final years of slavery in Brazil, with an initial emphasis on the contradictions between medical and sanitarian discourses that promoted a new, bourgeois vision of the home and the continued existence of the master-slave relationship and tutelary relations derived therefrom in the most intimate spaces of wealthy households in the cities and towns of the country’s coffee-growing southeast. The article also seeks to reconstruct the perspective of these captive and servant-class women at the moment of slavery’s extinction, thus providing a new perspective on the latter process by noting how the abolition of slavery was conditioned by the gendering of household work. A reconstruction of the life of Ambrosina, a slave woman rented out by her owner to serve another family as a wet nurse, then accused of murder after the death of her young charge, is the means by which these contributions are made.     

I’m not like everybody else: urbanization factors shaping spatial distribution of native and invasive ants are species-specific

Urbanization is a major global change inducing complex and multiple modifications of landscapes and ecosystems. The spatial distributions of organisms experiencing these modifications will likely shift specifically, depending on each species’ response to each environmental modification induced by urbanization. We sampled two ant genera (Lasius and Tetramorium) at 1248 locations along an urbanization gradient in Lyon, France and used high resolution spatial layers for 18 spatial (e.g., open habitat fragmentation, bioclimatic data and surface temperatures) and temporal (e.g., comparison of Normalized Difference Vegetation Index between 1986 and 2015) environmental variables associated with urbanization. Coupling two different analytical methods (Outlying Mean Index and Boosted Regression Trees), we showed that each species’ distribution was influenced by its own combination of environmental factors. Two morphologically cryptic Tetramorium species (T. sp.E and T. sp.U2) were both highly abundant but with opposite responses to urbanization: while T. sp.E was favored by urbanized habitat, T. sp.U2 avoided urbanized areas. Among Lasius species, we detected 63 occurrences of the invasive ant Lasius neglectus, the distribution of which was favored only by embankments along roads. We found that, even at this reduced spatial scale, climatic effects influenced most species and interacted with urbanization factors.     

Bootstrap Bartlett correction in inflated beta regression

The inflated beta regression model aims to enable the modeling of responses in the intervals (0, 1], [0, 1), or [0, 1]. In this model, hypothesis testing is often performed based on the likelihood ratio statistic. The critical values are obtained from asymptotic approximations, which may lead to distortions of size in small samples. In this sense, this article proposes the bootstrap Bartlett correction to the statistic of likelihood ratio in the inflated beta regression model. The proposed adjustment only requires a simple Monte Carlo simulation. Through extensive Monte Carlo simulations the finite sample performance (size and power) of the proposed corrected test is compared to the usual likelihood ratio test and the Skovgaard adjustment already proposed in the literature. The numerical results evidence that inference based on the proposed correction is much more reliable than that based on the usual likelihood ratio statistics and the Skovgaard adjustment. At the end of the work, an application to real data is also presented.     

Towards better prevention of fatal occupational accidents in Portugal

Portugal, with a relatively high fatality rate for occupational accidents, faces the challenge of reducing fatalities with limited funding. This research identifies significant predictors in Portugal and estimates probabilities of occurrence. The model, based on applied logistic regression, suggests that policy‐makers should focus prevention efforts on older workers; persons with permanent contracts; those employed by large enterprises or at workplaces in the trade or services sectors; and those exposed to deviations by overflow, overturn, leak, flow, vaporization or emissions that are likely to cause musculoskeletal disorders, wounds, fractures or traumatic amputations.     

Identifying Priorities for Aging Policies in Two Portuguese Communities

The aging population has an impact on health, social, and economic issues in regard to individuals, communities, and organizations. The challenge for local policies in response to aging is to create sufficient resources to meet the population’s needs, wishes, and rights as people age. Active aging constitutes one of the guiding perspectives on policies. Taking into account the local governance perspective, the Model for Aging Local Policies Analysis (MALPA) was created in order to convert the active aging paradigm into a practical approach, as a technique to evaluate and analyze local aging policies. In this research, the MALPA instrument was applied in two Portuguese communities (Coruche and Oeiras). The objective was to identify the intervention priorities of aging policies in both communities, determining whether the instrument can facilitate the development of proposals for the improvement of local aging policies. It was possible to evaluate the communities and programs, identifying the least appropriate policy actions regarding the intervention priorities. The results allowed us to identify 10 priorities about collaborative governance, involvement of the elderly in the policy-making process, lifelong learning, economic hardship, policies for all ages, isolated vulnerable and fragile groups, intergenerational contacts, safety in all policies, labor opportunities, and conditions and transport network improvement.