Human Capital Disparities and Earnings Inequality in The Portuguese Private Labour Market

Social Indicators Research - This paper examines human capital inequality and how it relates to earnings inequality in Portugal using data from Quadros de Pessoal for the period 1986–2017....     

Zero-modified power series distribution and its Hurdle distribution version

This paper presents a new family of distributions for count data, the so called zero-modified power series (ZMPS), which is an extension of the power series (PS) distribution family, whose support starts at zero. This extension consists in modifying the probability of observing zero of each PS distribution, enabling the new zero-modified distribution to appropriately accommodate data which have any amount of zero observations (for instance, zero-inflated or zero-deflated data). The Hurdle distribution version of the ZMPS distribution is presented. PS distributions included in the proposed ZMPS family are the Poisson, Generalized Poisson, Geometric, Binomial, Negative Binomial and Generalized Negative Binomial distributions. The paper also describes the properties and particularities of the new distribution family for count data. The distribution parameters are estimated via maximum likelihood method and the use of the new family is illustrated in three real data sets. We emphasize that the new distribution family can accommodate sets of count data without any previous knowledge on the characteristic of zero-inflation or zero-deflation present in the data.     

Entrepreneurial intention of engineering students and associated influence of contextual factors / Intención emprendedora de los estudiantes de ingeniería e influencia de factores contextuales

This research explores the incidence of individual and contextual factors on the entrepreneurial intention of engineering students, as they are called to be the founders of new technology-based firms, which are required for the generation of economic growth and employment. A quantitative study comprising 1,004 engineering and architecture students has been conducted, in which both contextual factors (perception of economic-administrative barriers and unemployment rates) and antecedents of entrepreneurial intention from Ajzen’s Theory of Planned Behaviour have been examined. Results show that individuals with a high entrepreneurial intention show a favourable attitude towards the behaviour and see themselves capable of undertaking an entrepreneurial behaviour. Perception of social support, although strong, is not such a relevant factor. Regarding contextual factors, these do not discourage individuals with high entrepreneurial intention. Last, the role played by unemployment rates is unclear. Consequently, technical universities and governments, in their social responsibility to foster entrepreneurship in future young professionals, should take these factors into account to promote an encouraging climate for the development of an entrepreneurial spirit.     

Discrete approximations to continuous univariate distributions—an alternative to simulation

A method to replace a continuous univariate distribution with a discrete distribution that takes MN different values is analysed. Both distributions share the same r th moments for r =0, . . ., 2 N −1 and their corresonding distribution functions coincide at least at M +1 points. Several statistical and engineering examples are considered in which the discrete approximation may be used to avoid a simulation study that would be much more demanding computationally.     

Revisión teórico-metodológica de los instrumentos para la medición de la identidad de género

Resumen

El objetivo de este artículo es ofrecer una serie de criterios metodológicos de los instrumentos más utilizados en la medición de la identidad de género (BRSI y PAQ). Para ello, se presentan brevemente las perspectivas teóricas actuales para posteriormente avanzar en una serie de criterios metodológicos tales como la descripción y validez de los procedimientos de selección de los ítems y su validez ante sesgos de respuesta; fiabilidad de las escalas; y validez estructural, discriminante, convergente/divergente y de constructo. Por último se presentan diversos criterios de clasificación de los sujetos según estas escalas, así como las técnicas de análisis de datos más apropiadas. Además, se ha intentado recoger las críticas y discusiones que desde las diferentes líneas de investigación se están proponiendo.     

INDEX TO VOLUME 5 (1987)

Real-time estimates of output gaps and inflation gaps differ from the values that are obtained using data available long after the event. Part of the problem is that the data on which the real-time estimates are based is subsequently revised. We show that vector-autoregressive models of data vintages provide forecasts of post-revision values of future observations and of already-released observations capable of improving estimates of output and inflation gaps in real time. Our findings indicate that annual revisions to output and inflation data are in part predictable based on their past vintages. This article has online supplementary materials.     

Short-Term and Long-Term Effects of Training in EFT: A Multinational Study in Spanish-speaking Countries

This study seeks to validate the cross-cultural effectiveness of emotionally focused couple therapy (EFT) training in a sample of Spanish-speaking clinicians. The 28-hr formalized training for EFT was offered in six different Spanish-speaking countries, covering Europe, North America, Central America, and South America. Two hundred and seven therapists of 14 different Spanish-speaking nationalities completed pre-training assessments, 153 of them completed post-training assessments, and 92 therapists also completed the follow-up assessment. Using multilevel growth modeling (MLM), results indicated that therapists experienced significant and positive changes in terms of EFT competence (knowledge and skill acquisition), mature empathy, self-compassion, and attachment over time. Implications for transnational EFT training, specifically in Spanish-speaking countries, are discussed.     

F-tests with a rare pathology

ANOVA is routinely used to compare pathologies. Nevertheless, in many situations, the sample dimensions may not be known when planning the study. This is specially relevant when one of the pathologies is rare. Thus, the sample size for that pathology or for all pathologies must be considered as random. Sample selection for the non-rare pathologies may be carried out to increase the balance of the model. This leads to F-tests with random non-centrality parameters and random degrees of freedom for the errors. The distribution of such tests statistics is obtained.     

Gender Segregation in the Spanish Labor Market: An Alternative Approach

The aim of this paper is to study occupational segregation by gender in Spain, which is a country where occupational segregation explains a large part of the gender wage gap. As opposed to previous studies, this paper measures not only overall segregation, but also the segregation of several population subgroups. For this purpose, this paper uses new measures recently proposed by Alonso-Villar and Del Río ( Local versus overall segregation measures, Documento de Traballo 0802, Departamento de Economía Aplicada, Universidade de Vigo, 2008). Moreover, two decompositions of their local segregation curves are proposed, which allows us to go further in the empirical analysis.     

A Systems Approach to the Policy‐Level Risk Assessment of Exotic Animal Diseases: Network Model and Application to Classical Swine Fever

Exotic animal diseases (EADs) are characterized by their capacity to spread global distances, causing impacts on animal health and welfare with significant economic consequences. We offer a critique of current import risk analysis approaches employed in the EAD field, focusing on their capacity to assess complex systems at a policy level. To address the shortcomings identified, we propose a novel method providing a systematic analysis of the likelihood of a disease incursion, developed by reference to the multibarrier system employed for the United Kingdom. We apply the network model to a policy‐level risk assessment of classical swine fever (CSF), a notifiable animal disease caused by the CSF virus. In doing so, we document and discuss a sequence of analyses that describe system vulnerabilities and reveal the critical control points (CCPs) for intervention, reducing the likelihood of U.K. pig herds being exposed to the CSF virus.