Prevalence rate of DSM mental disorders among adolescents living in residential group homes of the French Child Welfare System

Purpose

To determine the prevalence of some major mental disorders among adolescents living in a residential group home and the distribution of these disorders by gender.

Method

The participants included 183 adolescents (13–17 years old) living in residential group homes of the Child Welfare System in the county of Bouches-du-Rhône (South of France). A structured psychiatric Diagnostic Interview Schedule for Children was used to assess the existence of Anxiety Disorder (AD), Major Depression (MD), Conduct Disorder (CD), Eating Disorder (ED), Enuresia (En), Psychosis Screen (PS) and Attention Deficit Hyperactivity Disorder (ADHD) among the study participants over the six-month period before the assessment was taken. The existence of Suicide Attempts (SA) during the lifetime of each child was also assessed.

Results

Of the youths qualified, 48.6% as having at least one psychiatric disorder during the last six months (AD: 28.4%; CD: 15.3%; MD: 14.8%; PS: 18.6%; ADHD: 3.8%), and SA have been reported in 23% of them. Females were more affected than boys (p < 0.001) with 64.9% having at least one disorder compared to 36.8% of boys; AD: 49.3% vs. 13.2%; and MD: 27.3% vs. 5.6%.

Conclusion

Adolescents living in residential group homes of the Child Welfare System in France have notably high rates of mental disorder (about three times more than those of the general population of the same age), similar to the patterns found in adolescents in North America and Europe. These data are the first of their kind in France and will guide necessary changes to the child welfare system.     

On the origin of the WTA–WTP divergence in public good valuation

This paper tests whether individual perceptions of markets as good or bad for a public good is correlated with the propensity to report gaps in willingness to pay and willingness to accept revealed within an incentive compatible mechanism. Identifying people based on a notion of market affinity, we find a substantial part of the gap can be explained by controlling for some variables that were not controlled for before. This result suggests the valuation gap for public goods can be reduced through well-defined variables.     

Doubly Robust Inference for the Distribution Function in the Presence of Missing Survey Data

Item non‐response in surveys occurs when some, but not all, variables are missing. Unadjusted estimators tend to exhibit some bias, called the non‐response bias, if the respondents differ from the non‐respondents with respect to the study variables. In this paper, we focus on item non‐response, which is usually treated by some form of single imputation. We examine the properties of doubly robust imputation procedures, which are those that lead to an estimator that remains consistent if either the outcome variable or the non‐response mechanism is adequately modelled. We establish the double robustness property of the imputed estimator of the finite population distribution function under random hot‐deck imputation within classes. We also discuss the links between our approach and that of Chambers and Dunstan. The results of a simulation study support our findings.     

On the invertibility of EGARCH(p,q)

Of the two most widely estimated univariate asymmetric conditional volatility models, the exponential GARCH (or EGARCH) specification is said to be able to capture asymmetry, which refers to the different effects on conditional volatility of positive and negative effects of equal magnitude, and leverage, which refers to the negative correlation between the returns shocks and subsequent shocks to volatility. However, the statistical properties of the (quasi-)maximum likelihood estimator (QMLE) of the EGARCH(p, q) parameters are not available under general conditions, but only for special cases under highly restrictive and unverifiable sufficient conditions, such as EGARCH(1,0) or EGARCH(1,1), and possibly only under simulation. A limitation in the development of asymptotic properties of the QMLE for the EGARCH(p, q) model is the lack of an invertibility condition for the returns shocks underlying the model. It is shown in this article that the EGARCH(p, q) model can be derived from a stochastic process, for which sufficient invertibility conditions can be stated simply and explicitly when the parameters respect a simple condition.¹¹Using the notation introduced in part 2, this refers to the cases where α ≥ |γ| or α ≤ ? |γ|. The first inequality is generally assumed in the literature related to the invertibility of EGARCH. This article provides (in the Appendix) an argument for the possible lack of invertibility when these conditions are not met. This will be useful in reinterpreting the existing properties of the QMLE of the EGARCH(p, q) parameters.     

Suturing an organization.

Before you fix the problem, enact great change or make a far-reaching decision, take time to notice, listen and get involved. These acts provide the best insight, the best treatment, to heal an organization's wounds.     

An empirical analysis of valence in electoral competition

Spatial models of voting have dominated mathematical political theory since the seminal work of Downs. The Downsian model assumes that each elector votes on the basis of his utility function which depends only on the distance between his preferred policy platform and the ones proposed by candidates. A succession of papers introduces valence issues into the model, i.e., candidates’ characteristics which are independent of the platforms they propose. So far, little is known about which of the existing utility functions used in valence models is the most empirically founded. Using a large survey run prior to the 2007 French presidential election, we evaluate and compare several spatial voting models with valence. Existing models perform poorly in fitting the data. However, strong empirical regularities emerge. This leads us to a new model of valence that we call the intensity valence model. This new model makes sense theoretically and is grounded empirically.