Reconstruction of populations by stochastic optimization: Sensitivity analysis

The reconstruction of populations by stochastic optimization solves the nontrivial problem of finding demographic flows from population registers or vital statistics and censuses, if available. These flows allow the reconstruction of stocks (age pyramids and vital statistics). After a review of reconstruction methods, the sensitivity analysis shows the robustness of the method by stochastic optimization to flawed or missing values, to the length of the reconstruction period, and to variations in the actual demographic flows.     

Récession,austérité et genre: étude comparative sur huit marchés du travail européens

Si l'effondrement du PIB consécutif à la crise économique mondiale de 2008 a nui avant tout à l'emploi des hommes, les politiques d'austérité auraient davantage affecté celui des femmes. L'auteure cherche à vérifier ce scénario dans huit pays européens, en décomposant la variation trimestrielle du taux d'activité et du taux d'emploi des femmes et des hommes à l'échelon sectoriel. Elle montre que l'association entre he‐cession et she‐austerity ne se confirme pas toujours, mais que les politiques d'austérité peuvent nuire à l'égalité des sexes et aux droits de la femme par d'autres mécanismes d'action, qu'elle répertorie et commente.     

Dyadic Cross-Sectional Associations Between Depressive Mood,Relationship Satisfaction,and Common Dyadic Coping

The aim of this cross-sectional study was to investigate the mediational role of common dyadic coping in the links between depressive mood and relationship satisfaction. We estimated two competing Actor–Partner Mediator Models, in which the dyad is the highest unit of analysis. The first model specified dyadic coping as a mediator in the association between relationship satisfaction and depression, whereas the second model specified dyadic coping as a mediator between depression and relationship satisfaction. Analyzing data from 198 couples, our findings provided a plausible approximation of the second model, representing the interactional model of depression. They showed that common dyadic coping mediates the link between depression and relationship satisfaction for men only.     

Urban and agricultural soils: conflicts and trade-offs in the optimization of ecosystem services

On-going human population growth and changing patterns of resource consumption are increasing global demand for ecosystem services, many of which are provided by soils. Some of these ecosystem services are linearly related to the surface area of pervious soil, whereas others show non-linear relationships, making ecosystem service optimization a complex task. As limited land availability creates conflicting demands among various types of land use, a central challenge is how to weigh these conflicting interests and how to achieve the best solutions possible from a perspective of sustainable societal development. These conflicting interests become most apparent in soils that are the most heavily used by humans for specific purposes: urban soils used for green spaces, housing, and other infrastructure and agricultural soils for producing food, fibres and biofuels. We argue that, despite their seemingly divergent uses of land, agricultural and urban soils share common features with regards to interactions between ecosystem services, and that the trade-offs associated with decision-making, while scale- and context-dependent, can be surprisingly similar between the two systems. We propose that the trade-offs within land use types and their soil-related ecosystems services are often disproportional, and quantifying these will enable ecologists and soil scientists to help policy makers optimizing management decisions when confronted with demands for multiple services under limited land availability.     

Skew-normal alpha-power model

In this paper, authors study properties and inference for the newly introduced skew-normal alpha-power model, generalizing both, the power-normal and skew-normal models. Inference is approached via maximum likelihood. Fisher information matrix is derived and shown to be nonsingular at the whole parametric space. Special emphasis is placed on the special case of the power–skew-normal model. Studies with real data illustrate the fact that the model can be very useful in applications, being able to overfit less general models entertained in the literature.     

Exit, Voice, Loyalty in Transition: A Theoretical Framework

On the grounds of borrowing and reforming Hirschman’s terminology, ‘exit, voice, loyalty’, we show both a conceptual and a methodological framework that can be used to raise questions in transitology studies. These issues include the following points: are there any models being developed concerning the transition countries?; are there any similar models in Western Europe?; is there any convergence between the models of both Eastern and Western Europe? If the answer to the last issue is yes, then in which areas? Or if it is a no, is it true that a special economic, social and also political system is developing in Eastern Europe? Another issue concerns how strong the growth potential of the different models is. It also examines which are the successful models and which are not, and what is the role of the economic and political elite in the development of these models. This study includes only the theoretical framework.     

A study of Bayesian local robustness with applications in actuarial statistics

Local or infinitesimal Bayesian robustness is a powerful tool to study the sensitivity of posterior magnitudes, which cannot be expressed in a simple manner. For these expressions, the global Bayesian robustness methodology does not seem adequate since the practitioner cannot avoid using inappropriate classes of prior distributions in order to make the model mathematically tractable. This situation occurs, for example, when we compute some types of premiums in actuarial statistics in order to fix the premium to be charged to an insurance policy. In this paper, analytical and simple expressions that allow us to study the sensitivity of premiums, which are usually used in automobile insurance are provided by using the local Bayesian robustness methodology. Some examples are examined by using real automobile claim insurance data.