Cultural Access and Mental Health: An Exploratory Study

Loss of well-being, rising rates of depression and various psychological illnesses are a public health concern. This study aims to explore the associations between cultural access and mental illness. Applying a panel methodology to the 20 Italian regions (2002–2007 period) the relationship between public health expenditure per-capita (the dependent variable) and hospital discharge rates for different illnesses (the regressors) has been estimated. Then the impact of the private spending in culture (the regressors) on the mental illness—as approximated by the discharge rate for mental illness—(the dependent variable), has been verified via generalised method of moments (GMM) approach. Data came from the National Census of the Italian Institute of Statistics (ISTAT). The results of empirical analysis have highlighted how the discharge rate for mental illness is substantially improved by some forms of cultural consumptions. The coefficients associated with unemployment rates (the control variables) have a positive impact on mental illness, thus suggesting that unemployment has an impact on the discharge rate for mental illness; the greatest impact is observed for the long-term unemployment rate. The results are beneficial for designing and implementing preventive strategies to reduce mental illness and public health expenditure by considering the impact of cultural access.     

Levels of uric acid in erectile dysfunction of different aetiology

Erectile dysfunction is a common disease characterized by endothelial dysfunction. The aetiology of ED is often multifactorial but evidence is being accumulated in favor of the proper function of the vascular endothelium that is essential to achieving and maintaining penile erection. Uric acid itself causes endothelial dysfunction via decreased nitric oxide production. This study aims to evaluate the serum uric acid (SUA) levels in 180 ED patients, diagnosed with the International Index of Erectile Function-5 (IIEF-5) and 30 non-ED control. Serum uric acid was analyzed with a commercially available kit using ModularEVO (Roche, Monza, Italy). Within-assay and between-assay variations were 3.0% and 6.0%, respectively. Out of the ED patients, 85 were classified as arteriogenic (A-ED) and 95 as non-arteriogenic (NA-ED) with penile-echo-color-Doppler. Uric acid levels (median and range in mg/dL) in A-ED patients (5.8, 4.3–7.5) were significantly higher (p?p?相似文献   

Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs

Approximate Bayesian computation (ABC) has become one of the major tools of likelihood-free statistical inference in complex mathematical models. Simultaneously, stochastic differential equations (SDEs) have developed to an established tool for modelling time-dependent, real-world phenomena with underlying random effects. When applying ABC to stochastic models, two major difficulties arise: First, the derivation of effective summary statistics and proper distances is particularly challenging, since simulations from the stochastic process under the same parameter configuration result in different trajectories. Second, exact simulation schemes to generate trajectories from the stochastic model are rarely available, requiring the derivation of suitable numerical methods for the synthetic data generation. To obtain summaries that are less sensitive to the intrinsic stochasticity of the model, we propose to build up the statistical method (e.g. the choice of the summary statistics) on the underlying structural properties of the model. Here, we focus on the existence of an invariant measure and we map the data to their estimated invariant density and invariant spectral density. Then, to ensure that these model properties are kept in the synthetic data generation, we adopt measure-preserving numerical splitting schemes. The derived property-based and measure-preserving ABC method is illustrated on the broad class of partially observed Hamiltonian type SDEs, both with simulated data and with real electroencephalography data. The derived summaries are particularly robust to the model simulation, and this fact, combined with the proposed reliable numerical scheme, yields accurate ABC inference. In contrast, the inference returned using standard numerical methods (Euler–Maruyama discretisation) fails. The proposed ingredients can be incorporated into any type of ABC algorithm and directly applied to all SDEs that are characterised by an invariant distribution and for which a measure-preserving numerical method can be derived.

     

The effect of delaying motherhood on the second childbirth in Europe

We examine the effect of delaying motherhood on the transition to the second childbirth across European countries. There exist two opposite forces of delaying the first birth: biological and socio-cultural factors producing a postponement effect and career-related factors leading to a catch-up effect. Estimating a multistate duration model that addresses the endogeneity of age at first birth, we find a catch-up effect in countries where the career effect is large and a postponement effect in countries where the opportunity cost of childbearing is relatively high due to the lack of family friendly institutions and cultural influences, which may discourage late childbearing.     

China and the Different Regional Approaches in Africa

African countries have a tiny share in the international economy and are not able to play more than a small role in the International Relations arena. Nevertheless, major players are looking at Africa with a renewed interest and, among them, China seems to have the most dynamic approach in order to catch-up with other nations and upgrade relations with African countries. However, the EU is also carrying on its new strategy toward parts of Africa. In these world powers strategies, multiple approaches related to subregions exist, instead of a single regional approach. The objective of this paper is to have a closer look and to analyze how the different regions and major nations of Africa Western Africa, Egypt, Eastern Africa and South Africa) are dealing with their economic and political development path and their interconnection with other areas of the World, with an important focus on China-Africa relations.

The Impact of Temporary Migration on Source Countries

We quantify the home country effects of different types of temporary and permanent migration patterns using a global integrated model for three developing countries. Our results suggest that migration (whether permanent or temporary) is beneficial for income as well as for poverty reduction in the home countries as it raises remittances, labor productivity, trade, and foreign direct investment and it provides incentives for human capital accumulation. These channels offset the negative impact of “brain drain.” In the simulations, temporary migration programs yield better outcomes than permanent migration due to the productivity gains induced in the home countries by returning migrants.     

Common Drifting Volatility in Large Bayesian VARs

The general pattern of estimated volatilities of macroeconomic and financial variables is often broadly similar. We propose two models in which conditional volatilities feature comovement and study them using U.S. macroeconomic data. The first model specifies the conditional volatilities as driven by a single common unobserved factor, plus an idiosyncratic component. We label this model BVAR with general factor stochastic volatility (BVAR-GFSV) and we show that the loss in terms of marginal likelihood from assuming a common factor for volatility is moderate. The second model, which we label BVAR with common stochastic volatility (BVAR-CSV), is a special case of the BVAR-GFSV in which the idiosyncratic component is eliminated and the loadings to the factor are set to 1 for all the conditional volatilities. Such restrictions permit a convenient Kronecker structure for the posterior variance of the VAR coefficients, which in turn permits estimating the model even with large datasets. While perhaps misspecified, the BVAR-CSV model is strongly supported by the data when compared against standard homoscedastic BVARs, and it can produce relatively good point and density forecasts by taking advantage of the information contained in large datasets.     

Network,exposure and rhetoric: Italian occupational fields and heterogeneity in constructing the globalized self

Drawing on the findings of a broad inter‐university research programme conducted in Italy, in this article we explore how individuals' transnational networks combine with other dimensions of their social experience in the production of a self‐perception of their own ‘global identity’. In particular, attention is focused on the structures and social spaces of everyday life in five crucial occupations (corporate managers, financial services workers, artists, media professionals and schoolteachers) where people's professional action is performed simultaneously along local and global axes. Within these groups the globalized self does not merely reflect individuals' engagement in transnational networks, but is also the outcome of a complex process including two added dimensions of social life in the job setting: (1) the degree and type of non‐filtered exposure to pressures stemming from the global environment, which both constrain and enable subjective practices of coping with change and ambiguity; and (2) the degree and type of competence in the rhetorics of globalization, namely the level of access to well‐known repertoires of interpretive resources for making sense of global trends. This analysis is consistent with social science conceptualizations arguing for a more nuanced understanding of globalization. In this light, not only is globalization a multidimensional process but it also produces a variety of responses and meanings by differently positioned actors.     

Well-Being in Italian Regions. Measures,Civil Society Consultation and Evidence

Efforts recently attempted to integrate various aspects of economic progress, environmental sustainability and social welfare into an aggregate measure of well-being share one major weakness concerning the identification of key aspects of well-being and of weights to aggregate these dimensions, they all suffer from lack of legitimacy. In this paper we present an innovative and well tested approach that attempts to overcome such limitation granting legitimacy through a broad consultation of civil society organisations. After a brief review of the state of the art, we present the methodology followed to build the QUARS (Index of Regional Quality of Development) and we point out strengths and weaknesses of our approach. We summarize the results according to the selected variables for Italian regions, we present the outcomes of our dissemination work and assess the robustness of the composite indicator.     

Short-Term Skilled Labour Movements and Economic Growth

Economic models typically study the long-term effects of migration, and hence emphasise their impact on a country's endowment of skills using net migration rates. This approach however does not take into account the contribution of short-term movements of skilled labour on a country's stock of knowledge and ability to innovate. This paper develops a theoretical approach to extend the analysis to gross migration flows, which captures the volume of interactions and the potential for knowledge exchanges between a country's skilled labour and workers living elsewhere. One implication of the approach developed is that higher growth can be achieved through higher international labour mobility, even if there is no net migration. Countries that find it difficult or impossible to attract skilled labour on a permanent basis may therefore enjoy the growth effect brought by skilled temporary migrants.