Organizing local social service measures to counteract long-term social assistance receipt. What works? Experiences from Sweden

Active labour market policies and programs (ALMPs) have over the last decades been established as main instruments to promote the transition from welfare to work. In this article we study strategies employed by Swedish municipalities to help recipients ending spells of social assistance take-up. By using a combination of quantitative and qualitative data we try to identify which approaches stand out as more successful than others with respect to social assistance duration. We have formed pairs of municipalities similar in important respects, but with different social assistance exit rates as predicted by a statistical model. Then we conducted case studies in the selected municipalities’ social assistance units, gathering information on how work is carried out and organized. Information was collected by semi-structured interviews with department managers and front-line social workers. In the interviews we identified various elements of practice that emerged as relevant, suggesting that shorter spells follow from activation with a focus on human resource development, programmes targeted at young adults, well-functioning collaboration, and use of sanctions or an overall approach characterized by systemized efforts.     

Work and mental disorders in a German national representative sample

Abstract

Most previous studies concerning the associations between work and mental ill-health have used dimensional self-report questionnaires for mental health problems (e.g., depressive symptoms). This study contributes to occupational health research by providing standardized clinical diagnoses based on DSM-IV criteria. A total of 2329 employees (age 18–65 years) took part in a structured, computer-assisted clinical interview (DIA-X/M-CIDI). Further, they specified whether their job was characterized by physical workload, overtime, or stress, and evaluated whether they feel impaired by each job characteristic. Results show that substance abuse/dependence (including nicotine dependence) was the highest prevalent mental disorder in German employees (12 month prevalence: 14.4%; only alcohol and illicit substance abuse/dependence: 4.9%) followed by anxiety (12.0%) somatoform (9.7%), and affective (9.3%) disorders. Sequential logistic regression analyses showed significant associations between the presence of stress at work and affective and somatoform disorders. Furthermore, feeling impaired by stress at work was strongly associated with anxiety, affective, somatoform disorders, and substance abuse/dependence. Beside work, personal characteristics, primarily gender, were associated with mental disorders in employees. However, except for affective disorders, gender did not modify the association between job characteristics and mental disorders. Taken together, results corroborate the necessity of considering mental disorders at work. Further studies to define the relation between work and mental disorders in employees are strongly recommended and should include objective analyses of job characteristics.     

Gender, Financial Risk, and Probability Weights

Women are commonly stereotyped as more risk averse than men in financial decision making. In this paper we examine whether this stereotype reflects gender differences in actual risk-taking behavior by means of a laboratory experiment with monetary incentives. Gender differences in risk taking may be due to differences in valuations of outcomes or in probability weights. The results of our experiment indicate that value functions do not differ significantly between men and women. Men and women differ in their probability weighting schemes, however. In general, women tend to be less sensitive to probability changes. They also tend to underestimate large probabilities of gains more strongly than do men. This effect is particularly pronounced when the decisions are framed in investment terms. As a result, women appear to be more risk averse than men in specific circumstances.     

A simplified estimation procedure based on the EM algorithm for the power series cure rate model

The family of power series cure rate models provides a flexible modeling framework for survival data of populations with a cure fraction. In this work, we present a simplified estimation procedure for the maximum likelihood (ML) approach. ML estimates are obtained via the expectation-maximization (EM) algorithm where the expectation step involves computation of the expected number of concurrent causes for each individual. It has the big advantage that the maximization step can be decomposed into separate maximizations of two lower-dimensional functions of the regression and survival distribution parameters, respectively. Two simulation studies are performed: the first to investigate the accuracy of the estimation procedure for different numbers of covariates and the second to compare our proposal with the direct maximization of the observed log-likelihood function. Finally, we illustrate the technique for parameter estimation on a dataset of survival times for patients with malignant melanoma.     

Scenario-Based Risk Assessment of Multi-Use Chemicals: Application to Solvents

The risk through chemical exposure is commonly characterized by ratios of exposure concentrations and effect levels (risk quotients). For chemicals with many different applications such as solvents, however, in addition to the risk quotients of different exposure situations it is useful to determine the corresponding numbers of exposed individuals, that is, not only the magnitude but also the extent of the risk. To this end, the Scenario-Based Risk Assessment (SceBRA) method has been developed that makes use of a large set of scenarios, each of which describes a typical situation regarding handling a solvent or solvent-containing product. The scenarios cover the life-cycle steps of production, distribution, and use of solvents. For each scenario, SceBRA provides the risk quotient, r, and the number of exposed individuals, N. This study investigated seven solvents that are used in large amounts in Switzerland. For each solvent, characteristic distributions of r and N values were calculated, making it possible to compare different solvents with respect to their risk profile. Graphical representations of the r, N data provide an informative way for analyzing and communicating the results of SceBRA.     

Risk Perception of Heavy Metal Soil Contamination and Attitudes toward Decontamination Strategies

Contaminated soils are a common environmental risk all over the world. One major source of risk is heavy metal soil contamination caused by industrial emissions. This quasiexperimental study investigated the perception of these risks by exposed and nonexposed people, their attitudes toward bioremediation methods using hyperaccumulating plants, and the influence of long-term aspects of sustainability on the acceptance of bioremediation methods. Major findings were that people living in a contaminated area perceived the risk of the heavy metal soil contamination as higher than the general risk of contamination. Second, a factor analysis showed that the factors dread, control, and catastrophic potential were relevant for the perception and valuation of low-dose environmental risks such as the contamination of the investigated area. In addition, a cluster analysis showed that the risk of heavy metal soil contamination was perceived as similar to that of oil contamination, ozone layer, preservatives and genetic technology. It was perceived indifferently with regard to dread. The uncontrollability of heavy metal soil contamination was estimated as medium, and its catastrophic potential as low. Third, exposed and nonexposed participants preferred bioremediation methods to classical methods (e.g., excavation and chemical treatment of the soil), because they perceived the environmental and esthetical performance of the bioremediation as important criteria. Sustainability or precautionary issues, such as the prevention of harm for future generations, were highly correlated with the acceptance of the use of bioremediation methods in people's residential areas.     

Assigning migrants to customer contact jobs: a context-specific exploration of the business case for diversity

Ethnic diversity of both their labor forces and customer bases presents a challenge for companies and fuels debate on the business case for diversity: the view that diversity positively impacts firm performance. This study enriches the business case debate by focusing on a particular organizational activity, customer contact. It combines theory from strategic human resource management (SHRM), research on diversity, and research on marketing to analyze what drives companies to assign migrants to customer contact jobs and which performance impacts ensue. We test our hypotheses in data from 338 German business companies. Companies that recognize the value in ethnic diversity and seek to respond to customer diversity are especially likely to assign migrants to customer contact jobs. The analyses reveal a positive impact of migrants in customer contact jobs on company profitability. This impact is enhanced by a broad range of equality and diversity practices and a supportive works council. These moderators have stronger effects than two other moderators related to business strategy: the market served by a company, and its competitive strategy. The paper contributes to SHRM research in general and diversity research in particular through its original examination associating the business case for ethnic diversity with the role of equality and diversity practices and institutions. The study findings can help managers to decide whether to leverage staff ethnic diversity and show that collaboration between HR management and marketing functions is useful to achieve a strategic fit among practices.     

(Un)Verst?ndlichkeit des Steuerrechts und Nachfrage nach Steuerberatungsdienstleistungen: Ein Experiment

Although increasing the understandability of tax law is a popular postulation, the consequences for individual decisions and the distribution of the tax burdens are far from clear. For this reason, the effects on the demand for tax advice are analyzed in an experimental setting: the participants had to rank pension plans while the understandability of the tax system was modified. We show that an increasing understandability of tax law significantly decreases the willingness to pay for tax advice and that this relationship is moderated by the individuals?? level of education. In fact, in our experiment only individuals with a high education level benefit from the improved understandability of tax law.