Social capital as social networks: A new framework for measurement and an empirical analysis of its determinants and consequences

The contribution of this paper to the social capital literature is threefold. First, we set up a new framework for measurement, allowing us to build indicators for five different dimensions of the concept. Second, we provide a single, synthetic, measure capturing that particular configuration of social capital which the literature generally associates with positive economic outcomes. Third, we carry out an empirical assessment of the relationships between the different types of social capital identified by our analysis and a range of socio-economic phenomena.     

Outlier detection in contingency tables based on minimal patterns

A new technique for the detection of outliers in contingency tables is introduced, where outliers are unusual cell counts with respect to classical loglinear Poisson models. Subsets of cell counts called minimal patterns are defined, corresponding to non-singular design matrices and leading to potentially uncontaminated maximum-likelihood estimates of the model parameters and thereby the expected cell counts. A criterion to easily produce minimal patterns in the two-way case under independence is derived, based on the analysis of the positions of the chosen cells. A simulation study and a couple of real-data examples are presented to illustrate the performance of the newly developed outlier identification algorithm, and to compare it with other existing methods.     

On implementation of the Gibbs sampler for estimating the accuracy of multiple diagnostic tests

Implementation of the Gibbs sampler for estimating the accuracy of multiple binary diagnostic tests in one population has been investigated. This method, proposed by Joseph, Gyorkos and Coupal, makes use of a Bayesian approach and is used in the absence of a gold standard to estimate the prevalence, the sensitivity and specificity of medical diagnostic tests. The expressions that allow this method to be implemented for an arbitrary number of tests are given. By using the convergence diagnostics procedure of Raftery and Lewis, the relation between the number of iterations of Gibbs sampling and the precision of the estimated quantiles of the posterior distributions is derived. An example concerning a data set of gastro-esophageal reflux disease patients collected to evaluate the accuracy of the water siphon test compared with 24 h pH-monitoring, endoscopy and histology tests is presented. The main message that emerges from our analysis is that implementation of the Gibbs sampler to estimate the parameters of multiple binary diagnostic tests can be critical and convergence diagnostic is advised for this method. The factors which affect the convergence of the chains to the posterior distributions and those that influence the precision of their quantiles are analyzed.     

Illegal Immigrants and the Informal Economy in Italy

ABSTRACT: The present work is divided into three parts. In the first part the (limited) empirical data relevant to the phenomenon in question is presented, that is, the growing illegality of Italian immigration and the illegal work that immigrants are destined to take up. Obviously the illegality of their presence and the íllicitness of the work are, by definition, phenomena which are difficult to quantify. Some estimates, albeit limited to certain regions, are nevertheless available and the picture that emerges is coherent with the present hypothesis. The hypothesis is then explained at a theoretical level, in the second part, where a simple model of general equilibrium is presented, referring to a two-sector economy with a single good. The model has the sole aim of illustrating the plausible characteristics of an economy characterised by the phenomenon that this present paper attempts to clarify. In the third part, to give an example, a simulation is put forward, utilising, in the model, values not incoherent with estimates based on Italy as a whole.     

Robust estimation in long-memory processes under additive outliers

In this paper, we introduce an alternative semiparametric estimator of the fractional differencing parameter in ARFIMA models which is robust against additive outliers. The proposed estimator is a variant of the GPH estimator [Geweke, J., Porter-Hudak, S., 1983. The estimation and application of long memory time series model. Journal of Time Series Analysis 4, 221–238]. In particular, we use the robust sample autocorrelations of Ma, Y. and Genton, M. [2000. Highly robust estimation of the autocovariance function. Journal of Time Series Analysis 21, 663–684] to obtain an estimator for the spectral density of the process. Numerical results show that the estimator we propose for the differencing parameter is robust when the data contain additive outliers.     

Mixing and moments properties of a non-stationary copula-based Markov process

Abstract

We provide conditions under which a non-stationary copula-based Markov process is geometric β-mixing and geometric ρ-mixing. Our results generalize some results of Beare who considers the stationary case. As a particular case we introduce a stochastic process, that we call convolution-based Markov process, whose construction is obtained by using the C-convolution operator which allows the increments to be dependent. Within this subclass of processes we characterize a modified version of the standard random walk where copulas and marginal distributions involved are in the same elliptical family. We study mixing and moments properties to identify the differences compared to the standard case.     

Perceptions about Compliant Flooring from Senior Managers in Long-Term Care

This study explored barriers and facilitators to adoption of compliant flooring as a fall injury prevention strategy within long-term care from the perspective of 18 long-term care senior managers. In-depth interviews were recorded, transcribed, and analyzed using the Framework Method. The most important organizational facilitators to adoption were potential for injury prevention and long-term care staff's openness to change. The most important organizational barriers to adoption were negative effects to long-term care staff and financial considerations (i.e., cost and lack of funding). The most important general organizational considerations were uncertainties about clinical effectiveness, effects on long-term care staff, and flooring performance. Overall, compliant flooring was viewed positively for long-term care. The findings also suggest an opportunity for knowledge translation to inform long-term care senior managers about the existing evidence on compliant flooring.     

TOPICS AND GEOGRAPHICAL DIFFUSION OF KNOWLEDGE IN TOP ECONOMIC JOURNALS

We study the evolution of topics in economics and their geographical specialization by analyzing 13,233 papers from seven top journals between 1985 and 2012 and their forward citations. The share of U.S. publications declines from 75% to 64% with a corresponding increase of the European share from 12% to 24%. We use topic modeling and document the evolution of the discipline over 27 years. We estimate, with a quasi‐structural model, the citation lag distribution for 18 different topics and three large geographical areas. The modal citation lag is about 6.7 years in the entire sample and 4.8 years for citations from the top 100 journals. We quantify (1) the home bias effect in citations, (2) how it fades away over time, (3) the long lasting impact of U.S. publications vis‐à‐vis other geographical areas, and (4) the higher speed of diffusion and faster obsolescence in the United States. (JEL A14, I23, O33, A11)     

Solving the crisis: When agency is the preferred leadership for implementing change

Glass-cliff research shows that female leaders are preferentially selected in a crisis to signal change and not for their leadership qualifications. In parallel, the management literature urges for agentic “masculine” leadership to turn around organizations in crisis. We hypothesized that, regardless of their gender, agentic leaders should be preferred to communal leaders if leadership qualifications and actual change potential motivate leader selection. Three experimental studies demonstrated that agentic (vs. communal) candidates were perceived to match poorly-performing (vs. strongly-performing) companies. This effect was accounted for by perceptions of agentic candidates' higher suitability, higher task-orientation (versus person-orientation), and higher change potential. We discuss that women face ambiguity as to why they become leaders in crisis contexts: because they are perceived as signaling change, stereotypically linked to their gender, or for their perceived agentic qualities as leaders. In contrast, men become crisis leaders due to their perceived agentic change potential.     

Conservative Catholicism versus social Catholicism? Contrasting patterns in the political engagement of highly religious young Catholics in France and Italy

Current academic literature has proposed contrasting interpretations of the developments of youth religiosity. While some scholars have claimed increasing secularization of younger generations, others have noted the growing importance of religious values in young people's lives. To go beyond this debate, this article explores the restructuring of youth religiosity in Western European countries, characterized by the resilience of religion in secularized societies. With this purpose in mind, the article investigates the under-researched topic of the political activism of highly religious young Catholics and compares the political engagement of two recently established youth organizations: Sens Commun (SC) (rebranded Mouvement Conservateur, MC) in France and the Comunità di Connessioni (CdC) in Italy. Although both SC and CdC were founded by young Catholics, their engagement has followed diverging trajectories. While SC/MC's ideas and politics bear the imprint of conservative Catholicism, CdC's initiatives and values are inspired by social Catholicism. This article claims that the diverging trajectories of SC/MC and CdC are influenced by the long-lasting socio-historical factors that regulated the relations between religion, politics and civil society and the emerging post-secular reconfiguration that can open the way for a renewal of the forms of political engagement of young Catholics.