In Their Own Voice: Mothers in Drug Treatment and Their Views on Parenting,Behavioral Parent Training,and Barriers to Engagement

Behavioral parent training offers mothers in drug treatment a valuable opportunity to improve their parenting skills through real-time, individualized coaching, but these mothers might be reluctant to participate with their child. Participants were 23 mothers or female guardians from 4 drug treatment programs with children 1 to 10 years old. Focus group discussions and questionnaires asked about their perspectives on parenting and their interest in and obstacles to participating in behavioral parent training. Detailed narrative responses and quantitative analyses identified some unique issues in parenting for this population as well as logistical, attitudinal, and emotional barriers to participating in behavioral parent training with their children.     

Latent variable modeling of disability in people aged 65 or more

This paper aims at classifying, on the basis of their disability profile, the population of elderly and quantifying the number of those with a very low level of functioning in a central region of Italy. This is accomplished using a set of variables on the difficulty of accomplishing everyday tasks (Activities of Daily Living, ADL) and functions. This issue is very important for National and Local Health organizations in order to evaluate the need for care, planning services, elaborating policies and allocating resources. Latent class models are applied on data coming from the Italian National Survey on Health Conditions and Appeal to Medicare to extract the latent trait of disability and classify the elder population according to their disability profile. Model selection brings to a classification into four latent classes. Looking at posterior probabilities, classes may be interpreted as follows: elderly without disability, with difficulties in movements, with difficulties in movements and daily tasks, with very low functioning level. Estimates of the amount of population aged 65 or more falling in each class is also provided. Cross-validation shows evidence of the robustness of such classification. Item response theory models are also applied to the items considered to study how functions are lost with increasing levels of disability. In particular, the abilities of climbing stairs and stooping down are those lost first, while those of eating and getting washed are those lost last.     

Association between dietary phytoestrogens intakes and prostate cancer risk in Sicily

Objective: In this study we aimed to investigate the association between dietary phytoestrogen consumption and prostate cancer in a sample of southern Italian individuals.

Methods: A population-based case-control study on the association between prostate cancer and dietary factors was conducted from January 2015 to December 2016 in a single institution of the municipality of Catania, southern Italy (Registration number: 41/2015). A total of 118 histopathological-verified prostate cancer (PCa) cases and a total of 222 controls were collected. Dietary data was collected by using two food frequency questionnaires.

Results: Patients with PCa consumed significantly higher levels of phytoestrogens. Multivariate logistic regression showed that lignans (Q[quartile]4 vs. Q1, OR [odds ratio]?=?4.72; p?p?p?p?p?p?p?Conclusion: We found of an inverse association between dietary isoflavone intake and PCa, while a positive association was found with lignans intake.     

The effects of cohort size on European earnings

I use the cross-country and time variation in the demographic structure of 11 European countries to study how changes in cohort size affect real earnings in Europe. I find that cohort size has a negative and statistically significant effect on earnings, and that this effect is larger for the older age group—aged between 35 and 54—than for the younger group—aged 20 to 34. I also find that earnings are more sensible to changes in cohort size in Southern Europe, which points to a lower degree of substitutability between individuals with the same education but different age. I argue that the uncovered lower substitutability in the Olive Belt of Europe is in line with the higher employment protection that its workers enjoy, at least compared to the workers located in Northern Europe.     

Regulatory intervention and the effect of changes in corporate governance on firm decisions and market reactions

This paper investigates whether Italian companies that cross-list in the United States between 1993 and 2005 show (1) a change in their internal policies as anticipated by the bonding hypothesis, (2) an increase in market value, or (3) an increase in the access to capital funds. We use the unique environment created by the 1998 Draghi reform which significantly improved the protection of Italian listed companies’ minority shareholders and we further examine the impact of legislated changes in corporate governance in Italy on the decision of Italian companies to cross-list in the United States. Our results indicate that following the Draghi reform (1) firms that cross-list in the United States modify their dividend and cash policies as anticipated by the bonding hypothesis. Contrary to prior research, (2) we do not find evidence that cross-listing serves to enhance shareholder value or (3) is used as a vehicle to more easily access capital funds either before or after the domestic corporate governance is improved. The results of this study provide evidence that country level legislative innovations intended to enhance a weak corporate governance system can be a valid and effective substitute to the bonding mechanism by providing an alternative signal of a firm’s quality.     

On beta type-1 distributed random points in an n-ball

This article considers the problem of finding the exact density of the r-content of the simplicial convex hull of r+1 independent points in Rⁿ ” Consider r+1 independent and identically distributed points in a unit n–ball such that p of them are in the interior and r+l?p of them are on the surface of the unit n-ball., Consider the case when each point is type-1 beta distributed,, These points determine almost surely via their convex hull a unique r-simplex in Rⁿ Ihe problem of getting the exact density of the r-content of this random r-simplex is transformed into a problem in multivariate statistical analysis connected with the distribution theory of test statistics., Thus various representations for the exact density are given in this article.     

Enhancing parent-child interaction during foster care visits: experimental assessment of an intervention

Mothers of young children recently placed in foster care participated in an intervention to enhance parent-child interaction during visits. The mothers all reported substantial loss and trauma histories. Immediately prior to the visits, the mothers were coached on strategies for separating from their children at the visit's end. The mothers displayed more behavioral strategies for supporting their children when the visit was over, but were less engaged with their children during the leave-taking sequence and displayed fewer ways of maintaining the child's involvement in mother-child interaction during leave-taking than those in a comparison group. This article discusses consideration of parents' trauma history in designing interventions to enhance parent-child interaction.     

KNOWING THE RIGHT PERSON IN THE RIGHT PLACE: POLITICAL CONNECTIONS AND RESISTANCE TO CHANGE

We use a political economy model of Schumpeterian growth with entry to investigate how an incumbent politician can strategically use the level of red tape to acquire incumbency advantage. By setting sufficiently high red tape, the politician induces the incumbent firm in the intermediate sector to invest in political connections, which are valued also by voters, who recognize that bureaucratic costs can be reduced by connected firms. Within this framework, we study the Markov perfect equilibria of an infinitely repeated game among politicians, firms, and voters, and show that all equilibria are characterized by investments in political connections and the re‐election of the incumbent politician. Political connections may prevent entry of advanced competitors and cause the economy to lag behind the technological frontier. Our model provides a possible explanation for the persistence of inefficient democracies and political barriers to technology development, where these reflect shared rather than conflicting interests.     

Multilevel dimensionality-reduction methods

When data sets are multilevel (group nesting or repeated measures), different sources of variations must be identified. In the framework of unsupervised analyses, multilevel simultaneous component analysis (MSCA) has recently been proposed as the most satisfactory option for analyzing multilevel data. MSCA estimates submodels for the different levels in data and thereby separates the “within”-subject and “between”-subject variations in the variables. Following the principles of MSCA and the strategy of decomposing the available data matrix into orthogonal blocks, and taking into account the between- and the within data structures, we generalize, in a multilevel perspective, multivariate models in which a matrix of response variables can be used to guide the projections (formed by responses predicted by explanatory variables or by a limited number of their combinations/composites) into choices of meaningful directions. To this end, the current paper proposes the multilevel version of the multivariate regression model and dimensionality-reduction methods (used to predict responses with fewer linear composites of explanatory variables). The principle findings of the study are that the minimization of the loss functions related to multivariate regression, principal-component regression, reduced-rank regression, and canonical-correlation regression are equivalent to the separate minimization of the sum of two separate loss functions corresponding to the between and within structures, under some constraints. The paper closes with a case study of an application focusing on the relationships between mental health severity and the intensity of care in the Lombardy region mental health system.     

Hierarchical clustering and matrix completion for the reconstruction of world input–output tables

Multi-regional input–output (I/O) matrices provide the networks of within- and cross-country economic relations. In the context of I/O analysis, the methodology adopted by national statistical offices in data collection raises the issue of obtaining reliable data in a timely fashion and it makes the reconstruction of (parts of) the I/O matrices of particular interest. In this work, we propose a method combining hierarchical clustering and matrix completion with a LASSO-like nuclear norm penalty, to predict missing entries of a partially unknown I/O matrix. Through analyses based on both real-world and synthetic I/O matrices, we study the effectiveness of the proposed method to predict missing values from both previous years data and current data related to countries similar to the one for which current data are obscured. To show the usefulness of our method, an application based on World Input–Output Database (WIOD) tables—which are an example of industry-by-industry I/O tables—is provided. Strong similarities in structure between WIOD and other I/O tables are also found, which make the proposed approach easily generalizable to them.