The development of emotion regulation in adolescence: What do we know and where to go next?

Emotion regulation is critical for adolescent functioning. Theories on the subject have evolved rapidly in recent years and have led to a more contextualized and dynamic conceptualization of emotion regulation processes. In this paper, based on the distinction between emotion regulation strategies and abilities, we propose future directions for research on emotion regulation development in adolescence. We first present evidence that emotional, cognitive, and social changes that occur in adolescence are central in emotion regulation development. We then review empirical findings on emotion regulation development by tying them to their conceptual foundations. We discuss their limitations and argue that building better conceptual clarity is essential to study emotion regulation. Because current knowledge on recent concepts that emerged in adult-based models remains limited and contested in adolescence, we end this article by discussing new research perspectives to provide a better understanding of the topic. We stress the need for researchers in the field to adopt a more contextualized and person-oriented approach, to combine different time scales and methods, and examine the predictors of emotion regulation as well as its outcomes.     

The measurement of unemployment using completed durations: evidence on the gender gap in unemployment in France

This paper examines how unemployment can be measured in a normative fashion - taking into account the mean and inequality of spell lengths - and how the extent of unemployment can be estimated from cross section data of the type found in labour force surveys. The issue is not straightforward since in these surveys completed durations of unemployed individuals are not observed yet they constitute the basis for calculating the kind of index that has been proposed to measure the extent of unemployment in a way that goes beyond the unemployment rate. The index proposed by Shorrocks has robust normative foundations and has an equivalent representation in terms of average complete duration and the density of completed durations. Building upon earlier work applied in the United States for estimating the average completed duration, we present a method that enables the index to be calculated based on an estimate of the density of completed durations. The approach is illustrated in the context of comparing male-female unemployment differences in France, where historically female unemployment has been higher than that of males.     

Large deviation properties for empirical quantile-type production functions

Three examples of point processes are given where the autocovariance decays in an inverse power law, but which are not fractal.     

DESCRIBING DISABILITY THROUGH INDIVIDUAL-LEVEL MIXTURE MODELS FOR MULTIVARIATE BINARY DATA

Data on functional disability are of widespread policy interest in the United States, especially with respect to planning for Medicare and Social Security for a growing population of elderly adults. We consider an extract of functional disability data from the National Long Term Care Survey (NLTCS) and attempt to develop disability profiles using variations of the Grade of Membership (GoM) model. We first describe GoM as an individual-level mixture model that allows individuals to have partial membership in several mixture components simultaneously. We then prove the equivalence between individual-level and population-level mixture models, and use this property to develop a Markov Chain Monte Carlo algorithm for Bayesian estimation of the model. We use our approach to analyze functional disability data from the NLTCS.