Multistate projections by level of education for Portugal, 2011–2031

Educational attainment is an attribute that leads to a great distinction between the members of a population, including when considering their health and well-being, which are features to pursue within an aging society. The aim of this work was to produce demographic projections for the Portuguese population by sex, age group and level of educational attainment, for the period 2011–2031. Considering fertility, mortality and migration differentials by level of education, the population was projected using the multistate cohort-component method with a block Leslie matrix. Two scenarios were considered, one where educational attainment before 2011 remains constant and another in which educational attainment will follow the trend observed over the last decade, being the trend in the state proportion modelled using continuation ratio models. The results show an increase in the proportion of individuals who complete higher educational levels in almost all age groups of both sexes. Among women, only 13.6 % had completed some level of higher education in 2011, a figure that will rise to approximately 23.4 % in 2031, whereas among men this value was only 9.7 % and will also rise by 2031, reaching 15.5 %. We can expect the proportion of people with higher educational levels to continue to rise as the education of younger cohorts seems to evolve positively. This work will be particularly useful to study how the aging population and the rising levels of education can contribute to the planning and monitoring of public policies, although these findings can also be used in other research contexts.     

Measuring non-linear dependence for two random variables distributed along a curve

We propose new dependence measures for two real random variables not necessarily linearly related. Covariance and linear correlation are expressed in terms of principal components and are generalized for variables distributed along a curve. Properties of these measures are discussed. The new measures are estimated using principal curves and are computed for simulated and real data sets. Finally, we present several statistical applications for the new dependence measures.     

Water Price Regulation: A Review of Portuguese Tariff Recommendations

The context of severe economic crisis and financial constraints has reinforced existing pressures on services considered to be of community interest by public authorities and therefore subject to specific public service obligations. This is the case of the water industry, with increased pressure for full cost recovery and on the use of prices as a tool for the management of water resources in EU countries. The Portuguese situation confirms these trends and the expected increases in water tariffs raise special concerns. In these volatile times it is particularly relevant to analyze the management and regulatory work of the Portuguese Water and Waste Services Regulation Authority, which recently acquired extended powers in pricing regulation. Findings reveal a complexity of tariff schemes in Portuguese municipalities, with tariff recommendations being a clear commitment to selected economic theory proposals and the harmonization of price schemes in the heterogeneous water utilities national context.     

Control charts for monitoring the median in non-negative asymmetric data

Statistical Methods & Applications - Control charts are commonly used for monitoring the mean of processes. However, there are practical applications in which asymmetric data are the standard....     

Relationships between leadership and professionals' job attitudes and perceptions: Comparison of two leadership models

The aim of this study was to investigate the power of the Average Leadership Style (ALS) and Vertical Dyad Linkage (VDL) models of leadership in explaining relationships between leader's initiating structure behaviour and consideration behaviour, and subordinates' attitudes and perceptions. The considered dependent variables were five facets of job satisfaction, two role stress variables (role conflict and ambiguity), one role strain indicator (job tension), and four dimensions of workteam climate. The relationships were investigated in two occupational samples comprising 127 family physicians and 155 nurses working in 28 Primary Health Care Teams. Within and between analysis (WABA) and contextual analysis were applied in order to determine the appropriate level of analysis (group as expected from ALS or individual as expected from VDL) for studying the relationships between leader consideration and initiating structure behaviours and the dependent variables. The results obtained showed the prevalence of the VDL model in most of the cases, although two of the relationships studied fitted the ALS model.     

Identity and Ideas: A Roundtable on Identity Politics

This roundtable discussion examines the issue of identity politics and how identity influences and is influenced by gay/queer politics and theory. The participants discuss how identity politics affects political organizing and activism, how different identity communities can build coalitions, how the language related to identity is evolving, and how sexual attractions and practices interact with identity. The discussants look at how the influx into the gay and lesbian movement of new groups that challenge traditional identity boundaries—e.g., bisexuals and transgendered people—is affecting the movement. Finally, the discussants examine how “idea-based” politics may supplant identity-based politics as a new inclusive paradigm.     

Generalized Jackknife-Based Estimators for Univariate Extreme-Value Modeling

In this article, we revisit the importance of the generalized jackknife in the construction of reliable semi-parametric estimates of some parameters of extreme or even rare events. The generalized jackknife statistic is applied to a minimum-variance reduced-bias estimator of a positive extreme value index—a primary parameter in statistics of extremes. A couple of refinements are proposed and a simulation study shows that these are able to achieve a lower mean square error. A real data illustration is also provided.     

Nonparametric Entropy-Based Tests of Independence Between Stochastic Processes

This article develops nonparametric tests of independence between two stochastic processes satisfying β-mixing conditions. The testing strategy boils down to gauging the closeness between the joint and the product of the marginal stationary densities. For that purpose, we take advantage of a generalized entropic measure so as to build a whole family of nonparametric tests of independence. We derive asymptotic normality and local power using the functional delta method for kernels. As a corollary, we also develop a class of entropy-based tests for serial independence. The latter are nuisance parameter free, and hence also qualify for dynamic misspecification analyses. We then investigate the finite-sample properties of our serial independence tests through Monte Carlo simulations. They perform quite well, entailing more power against some nonlinear AR alternatives than two popular nonparametric serial-independence tests.