Non-Profit Organizations in Mental Health: Their Roles as seen in Research

Non-profit organizations (NPO) for mental health are becoming significant actors. Here, their roles in welfare society as understood in research are identified and analyzed. Results from recent research publications on the mental health field are synthesized and categorized in order to find out their origin, theoretical orientation, and view on mental health NPO’s in relation to the public welfare systems. Relevant publications are primarily from the US, empirically oriented, and addressing surveys on both individual and organizational level. NPOs were most often seen as consensus-oriented service organizations, while very few (4%) were seen as conflict-oriented advocates (i.e., anti-professional). It is concluded that these NPOs are most often studied as complements or alternatives to existing public welfare services rather than on their own terms, and that research on the topic lacks more complex theoretical attempts.     

Empathy in Social Work

ABSTRACT

A dominant conceptualization of empathy in social work practice and education, provided by Karen Gerdes and Elizabeth Segal, relies heavily on the simulation theory adopted directly from the cognitive neurosciences. The aim was to critically challenge such a view by reporting on some recent empirical findings from the field in which professional social workers were interviewed about their experience of empathy in working with forced migrants. The findings support a phenomenological, critical account of simulation theory and provide evidence that empathy is constituted as a direct social perception of the other's experience. It was concluded that simulation theory is insufficient in providing an exhaustive approach for the professional use of empathy in social work practice and education.     

Saving Lives in the Present Versus Saving Lives in the Future—Is There a Framing Effect?

This study considers how to compare programs which are designed to save lives. "To estimate the discount rate for lives saved in the future a number of studies have been carried out on the trade-off between saving lives now and in the future. A telephone survey is administered to about 1,700 individuals [in Sweden] to test if the framing of the question affects the estimated trade-off. In one sample the question is framed as saving 100 lives today versus saving x future lives and in one sample the question is framed as saving 100 future lives versus saving y lives today. The result shows that the framing has a major impact on the trade-off."     

Depression and exercise in elderly men and women: findings from the Swedish national study on aging and care

This study investigated the relationship between light and strenuous exercise and depression, as well as gender differences in this relationship, in a representative sample of 860 elderly Swedish suburb-dwelling men and women in age cohorts from 60 to 96 years, drawn from among participants in the Swedish National Aging and Care study. The relationship between depression and self-reported changes in exercise status over time was also examined. Exercise activities were measured with four survey questions, and depression, with the Montgomery Asberg Depression Rating Scale. The inactive elderly had higher depression scores than more active individuals, both in terms of light and strenuous exercise. The continuously active group had lower depression scores than both continuously inactive individuals and individuals reporting a shift from activity to inactivity during the preceding year. Light exercise had a somewhat stronger effect on depression for women.     

The Future in a Goody Bag: Exploring School Fair Logics and Corporatization of Swedish Education

This article focuses on upper secondary school fairs in Sweden, how they can be understood as a discursive practice, and how this in turn can help us understand the challenges of contemporary education policy in Sweden. Using discourse analysis as a basis, the article analyzes the logics constituting the fair, with a primary focus on the shaping and regulating of the subjects involved in the fair. It is argued that the fair illustrates how the ongoing commercialization of the Swedish welfare model is made possible, but also how it is played out and negotiated at a concrete marketplace.     

Currency boards,depoliticization and macroeconomic stability: the political economy of institutional complementarities*

This article analyzes the potential for institutional design to depoliticize macroeconomic policy-making by examining currency board arrangements. It develops a novel argument to understand the effects of institutional design based on institutional complementarities. This argument highlights that the functioning of a given institution is conditioned by the broader institutional context. The article contrasts this framework with two common approaches – here termed the institutional design and the epiphenomenalism views – and argues that the centrality of institutional complementarities can account for the mixed record of currency boards. The most important complementarities of a currency board are with fiscal, labor market and informal institutions, which are important prerequisites for successful currency boards. By drawing on recent advances in the study of depoliticization, we show how these institutions contribute to governmental, societal and discursive depoliticization. This argument is evaluated by examining three case studies of currency boards – Argentina, Estonia and Lithuania. The article also explores some broader implications of this analysis for understanding the depoliticization of economic policy.     

The estimation of normal mixtures with latent variables

This paper considers the class of normal latent factor mixture models. It presents a method for estimating the posterior distribution of the parameters, derives analytical expressions for both the first and second derivatives of the posterior kernel (the score and Hessian), and provides posterior approximations that can be computed relatively quickly.     

CROWDING OUT IN BLOOD DONATION: WAS TITMUSS RIGHT?

In his seminal 1970 book, The Gift Relationship, Richard Titmuss argued that monetary compensation for donating blood might crowd out the supply of blood donors. To test this claim we carried out a field experiment with three different treatments. In the first treatment subjects were given the opportunity to become blood donors without any compensation. In the second treatment subjects received a payment of SEK 50 (about $7) for becoming blood donors, and in the third treatment subjects could choose between a SEK 50 payment and donating SEK 50 to charity. The results differ markedly between men and women. For men the supply of blood donors is not significantly different among the three experimental groups. For women there is a significant crowding‐out effect. The supply of blood donors decreases by almost half when a monetary payment is introduced. There is also a significant effect of allowing individuals to donate the payment to charity, and this effect fully counteracts the crowding‐out effect. (JEL: C93, D64, I18, Z13)     

Trajectory inference and parameter estimation in stochastic models with temporally aggregated data

Stochastic models are of fundamental importance in many scientific and engineering applications. For example, stochastic models provide valuable insights into the causes and consequences of intra-cellular fluctuations and inter-cellular heterogeneity in molecular biology. The chemical master equation can be used to model intra-cellular stochasticity in living cells, but analytical solutions are rare and numerical simulations are computationally expensive. Inference of system trajectories and estimation of model parameters from observed data are important tasks and are even more challenging. Here, we consider the case where the observed data are aggregated over time. Aggregation of data over time is required in studies of single cell gene expression using a luciferase reporter, where the emitted light can be very faint and is therefore collected for several minutes for each observation. We show how an existing approach to inference based on the linear noise approximation (LNA) can be generalised to the case of temporally aggregated data. We provide a Kalman filter (KF) algorithm which can be combined with the LNA to carry out inference of system variable trajectories and estimation of model parameters. We apply and evaluate our method on both synthetic and real data scenarios and show that it is able to accurately infer the posterior distribution of model parameters in these examples. We demonstrate how applying standard KF inference to aggregated data without accounting for aggregation will tend to underestimate the process noise and can lead to biased parameter estimates.     

Weighted-Average Least Squares Prediction

Prediction under model uncertainty is an important and difficult issue. Traditional prediction methods (such as pretesting) are based on model selection followed by prediction in the selected model, but the reported prediction and the reported prediction variance ignore the uncertainty from the selection procedure. This article proposes a weighted-average least squares (WALS) prediction procedure that is not conditional on the selected model. Taking both model and error uncertainty into account, we also propose an appropriate estimate of the variance of the WALS predictor. Correlations among the random errors are explicitly allowed. Compared to other prediction averaging methods, the WALS predictor has important advantages both theoretically and computationally. Simulation studies show that the WALS predictor generally produces lower mean squared prediction errors than its competitors, and that the proposed estimator for the prediction variance performs particularly well when model uncertainty increases.