Soon, later, or ever? The impact of anomie and social capital on fertility intentions in Bulgaria (2002) and Hungary (2001)

We use survey data from Bulgaria and Hungary to investigate the determinants of whether women intend to have a first or a second child and, if so, whether they intend to have the child within the ensuing 2 years or later. These determinants differ significantly by the order and timing of the intended birth. The variables used include measures of anomie and social capital and these appear to be among the factors that determine both whether to have a child and when. There is some evidence that these measures and economic factors are relatively more important in Bulgaria than in Hungary, and that ideational factors are more important in Hungary, particularly in the case of voluntary childlessness.     

A Systems View of Companies’ Communication in Online Social Environments

In order to enrich previous contributions interested in the identification of possible pathways to improve companies’ capabilities to better face the challenges imposed by increasing social and economic variety, this paper focuses attention on the role of companies’ communications in online social environments. Thanks to the adoption of systems thinking, the paper enlarges existing contributions on companies’ online communication by combining the research streams of signalling theory, capital need theory, and legitimacy theory. By building on a multi-disciplinary literature review, this paper identifies three variables to analyse the effectiveness of companies’ communication based on the use of social networks: the frequency, the instability, and the previous activities. Empirical research is proposed with reference to a sample composed by the 50 best performing European companies in terms of return on sales (ROS) (USD) in 2015 via the use of structural equation modelling (SEM). SEM is applied to explore the relationships among identified variables in companies’ online communication on Facebook and Instagram, and how those communications influence companies’ economic performance in terms of ROS.     

Semi-parametric bivariate polychotomous ordinal regression

A pair of polychotomous random variables \((Y_1,Y_2)^\top =:{\varvec{Y}}\), where each \(Y_j\) has a totally ordered support, is studied within a penalized generalized linear model framework. We deal with a triangular generating process for \({\varvec{Y}}\), a structure that has been employed in the literature to control for the presence of residual confounding. Differently from previous works, however, the proposed model allows for a semi-parametric estimation of the covariate-response relationships. In this way, the risk of model mis-specification stemming from the imposition of fixed-order polynomial functional forms is also reduced. The proposed estimation methods and related inferential results are finally applied to study the effect of education on alcohol consumption among young adults in the UK.     

Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section

This article proposes a Bayesian estimation framework for a typical multi-factor model with time-varying risk exposures to macroeconomic risk factors and corresponding premia to price U.S. publicly traded assets. The model assumes that risk exposures and idiosyncratic volatility follow a break-point latent process, allowing for changes at any point on time but not restricting them to change at all points. The empirical application to 40 years of U.S. data and 23 portfolios shows that the approach yields sensible results compared to previous two-step methods based on naive recursive estimation schemes, as well as a set of alternative model restrictions. A variance decomposition test shows that although most of the predictable variation comes from the market risk premium, a number of additional macroeconomic risks, including real output and inflation shocks, are significantly priced in the cross-section. A Bayes factor analysis massively favors the proposed change-point model. Supplementary materials for this article are available online.     

Can antenatal classes reduce the rate of cesarean section in southern Italy?

Background

Among European Countries, Italy has the highest rate of cesarean section (36.8%), and in the Campania region this rate reaches 60.0%.

Strategic monitoring of port authorities activities: Proposal of a multi-dimensional digital dashboard

Abstract

The consequence of port evolution is that port authorities (PA) around the world are modifying their nature and their role, acquiring more and more an active role in the governance of logistic systems and are often adopting managerial and entrepreneurial behaviours. This new role of PA requires the adoption of a complex approach to monitoring the performance of the single stakeholders and of the whole port. Existing studies on port performance consider only specific indicators of port performance such as operational and financial efficiency neglecting aspects like customer satisfaction, port security and port sustainability. This paper tries to fill this literature gap: (i) outlining an integrated multi-dimensional dashboard to monitor port performance in a strategic perspective; (ii) analysing the role of digital technology to support the PA in the implementation of the monitoring dashboard; (iii) defining the evolutionary stages of tools implementation in the strategic monitoring of PAs.     

Semiparametric estimation of moment condition models with weakly dependent data

This paper develops the asymptotic theory for the estimation of smooth semiparametric generalized estimating equations models with weakly dependent data. The paper proposes new estimation methods based on smoothed two-step versions of the generalised method of moments and generalised empirical likelihood methods. An important aspect of the paper is that it allows the first-step estimation to have an effect on the asymptotic variances of the second-step estimators and explicitly characterises this effect for the empirically relevant case of the so-called generated regressors. The results of the paper are illustrated with a partially linear model that has not been previously considered in the literature. The proofs of the results utilise a new uniform strong law of large numbers and a new central limit theorem for U-statistics with varying kernels that are of independent interest.     

Understanding the needs of LGBTQ clients and their risk for commercial sexual exploitation: Training community mental health workers

Training on commercial sexual exploitation (CSE) and victimization of lesbian, gay, bisexual, transgender, and queer (LGBTQ) youths can increase awareness among professionals who provide services to this community. This study evaluated the effectiveness of a community-based training program geared toward mental health workers in a diverse metropolitan city. The training provided information about the continuum of sexuality and gender identity, sensitivity when working with LGBTQ clients, LGBTQ clients’ risks for CSE, and ways to improve service delivery to this population. Participants’ (N?=?64) knowledge level of these areas was examined prior to the training, immediately thereafter, and in a six-month follow-up. Participants showed an increase in knowledge from pretest to posttest. Follow-up testing on a limited sample revealed scores that were lower than posttest scores, but higher than pretest scores. Overall, through this community-based training, participants gained knowledge about the continuum of sexual and gender identity, appropriate service delivery when working with LGBTQ individuals, and the risk factors for CSE for LGBTQ youths. Participants also reported feeling satisfied with the training approach and format. Implications for future training to enhance mental health workers’ competence with LGBTQ victims of sexual exploitation are explored.     

Integrated reporting in action: mobilizing intellectual capital to improve management and governance practices

Journal of Management and Governance - In management studies, the relevance of intellectual capital (IC) in value creation processes has been a research topic for many years. Several attempts have...