Attachment‐Based Family Therapy With a 13‐Year‐Old Girl Presenting With High Risk for Suicide

This article describes the application of Attachment‐Based Family Therapy (ABFT) to the treatment of a 13‐year‐old female adolescent presenting with high risk of suicide, complicated by a history of depression and sexual trauma. The article begins with an overview of ABFT, including (a) how attachment theory guides treatment; (b) the structure of the clinical model; and (c) the data that provide empirical support. A case example is then presented that exemplifies the primary clinical procedures used to reach therapeutic goals in ABFT, including attachment repair and autonomy/competence promotion. Weekly changes in suicide ideation and depression scores are presented. The article concludes with a discussion about implications for family‐based treatment of suicidal youth.     

Estimating the Reciprocal Effect of Gender Role Attitudes and Family Formation: A Log-linear Path Model with Latent Variables

Gender role attitudes andfamily formation are related in a dynamicprocess. In this paper both substantive as wellas methodological issues are raised. At thesubstantive level we demonstrate that attitudesinfluence family formation in terms ofcommitment to particular states. Emancipatorygender roles increase the likelihood of singleliving or cohabitation. Remaining in thatparticular situation for at least two yearsimplies that these women further develop theiremancipatory attitudes. `Traditional' forms offamily living, such as being married or being amother, are related to traditional familyvalues. At the methodological level, it isobvious that only panel data allow broachingthe issue. We propose a log-linear path modelwith latent variables that allows takingmeasurement error into account. The designitself resembles a non-equivalent control groupdesign.     

Efficient computation of the discrete autocorrelation wavelet inner product matrix

Discrete autocorrelation (a.c.) wavelets have recently been applied in the statistical analysis of locally stationary time series for local spectral modelling and estimation. This article proposes a fast recursive construction of the inner product matrix of discrete a.c. wavelets which is required by the statistical analysis. The recursion connects neighbouring elements on diagonals of the inner product matrix using a two-scale property of the a.c. wavelets. The recursive method is an (log (N)³) operation which compares favourably with the (N log N) operations required by the brute force approach. We conclude by describing an efficient construction of the inner product matrix in the (separable) two-dimensional case.     

Phobias and related symptoms: Some social sources

Data from samples of undergraduates, adolescents, and simpler societies show phobic symptoms to be correlated with patterns of social organization that both foster and forbid their participants' pursuit of personal and special interests rather than common interests. Some evidence is given showing that the social correlates of phobias are different from those for hysteric and obsessional symptoms.     

Efficient Estimation with Many Weak Instruments Using Regularization Techniques

The problem of weak instruments is due to a very small concentration parameter. To boost the concentration parameter, we propose to increase the number of instruments to a large number or even up to a continuum. However, in finite samples, the inclusion of an excessive number of moments may be harmful. To address this issue, we use regularization techniques as in Carrasco (2012) and Carrasco and Tchuente (2014). We show that normalized regularized two-stage least squares (2SLS) and limited maximum likelihood (LIML) are consistent and asymptotically normally distributed. Moreover, our estimators are asymptotically more efficient than most competing estimators. Our simulations show that the leading regularized estimators (LF and T of LIML) work very well (are nearly median unbiased) even in the case of relatively weak instruments. An application to the effect of institutions on output growth completes the article.     

Revealed desirability: a novel instrument for social welfare

The note puts forward the idea of revealed desirability, a novel instrument, which like revealed preference is observable from choice and important for individual and social welfare. We provide the axiomatic underlying individual’s choice model, preliminary experimental results that support the idea, and an appealing allocation rule that uses the revealed desirability information along with the revealed-preference information.