Empathy and professional attitude in social workers and non-trained aides

The purpose of this study was to investigate empathic communication and professional attitude in vocational groups representing different levels of professional training. A further aim was to elucidate some aspects of the impact of the clients. Four groups of professionals participated, three with degrees as social workers and one with only short professional training. Three groups worked with committed drug addicts, one group with somatically ill patients. The 110 subjects were tested with a video-test of professional attitude and empathic communication. Different response patterns were found in the different groups. The group with short training had the highest proportion of unprofessional responses. The group of social workers working with somatically ill patients showed the highest amount of empathic communication. Furthermore, there was a distinction among the kind of unprofessional responses used by the different groups. Hypotheses on the causes of these differences and implications for future research are discussed.     

Primary care networks: choose your physicians wisely

As hospitals and health care systems maneuver for a position in the integrated health care delivery system, no initiative is more important than building an effective and competitive primary care network. Yet this critical initiative is fraught with potential pitfalls. In their haste to develop primary care networks, hospitals and health care systems may fail to thoroughly evaluate network participants and in turn create large, inclusive, and inefficient primary care networks that don't come close to breaking even, much less repay practice acquisition costs. In an effort to become more efficient, practitioners often find themselves in the unenviable position of "de-selecting" peers retrospectively. The author presents criteria for evaluating and selecting network physicians.     

Stock investors’ preference for short-term vs. long-term bonuses

Bonuses in the finance sector may be based on too short time intervals for environmental and social factors to be taken into account in investment decisions. We report two experiments to investigate whether investors prefer short-term to long-term bonuses. In Experiment 1 employing 27 undergraduates, preferences were measured for four short-term certain bonuses, evenly distributed across a time interval, and one certain long-term bonus at the end of the time interval. A majority chose the short-term bonuses, and in order for the long-term bonus to be equally preferred it had to be about 40% higher than the four added short-term bonuses. Experiment 2 employing another 36 undergraduates introduced outcome uncertainty that more accurately reflects the choices stock investors face. The participants again choose between a long-term bonus and four distributed short-term bonuses. It was shown that uncertainty made more participants prefer the long-term bonus to the added short-term bonuses than when the outcome was certain. A smaller increase of the long-term bonus of about 20% was now required to make it equally attractive as the four added short-term bonuses.     

Complementary person-supervisor fit: An investigation of supplies-values (S-V) fit,leader-member exchange (LMX) and work outcomes

By applying the supplies-values (S-V) fit approach from the complementary person-environment (P-E) fit literature to the leader-employee perspective, and drawing upon social exchange theory, we examine how fulfillment of different work values is related to Leader-Member Exchange (LMX) and work outcomes. First, polynomial regression analyses combined with response surface analysis of data collected at two time points (N = 316) showed that LMX (Time 2) was higher the more the leader fulfills the employee's work values (Time 1). Second, LMX (Time 2) was higher when leader supplies (Time 1) and employee work values (Time 1) were both high than when both were low. Third, analyses of data from a sub-sample of matched leader-employee dyads (N = 140), showed that LMX (Time 2) played a mediating role on the relation between S-V fit (Time 1) and work outcomes (Time 2). Specifically, we found eight out of 10 relationships between S-V fit (Time 1) and leader-rated task performance and OCB (Time 2) to be fully mediated by LMX (Time 2). LMX (Time 2) partially mediated the relation between S-V fit (Time 1) and job satisfaction (Time 2) as only two out of five relationships were fully mediated.     

The limits of the decentred state: the case of policing insurance claims fraud

Existing research clearly shows that the public–private divide is continuously being challenged, recast and transformed. However, this article argues that a sharp distinction between public and private continues to operate as an important norm for professionals involved in the investigation of insurance claims fraud in Sweden. It shows how power within private insurance companies and the police authority is organized around the public–private divide, which is in turn mobilized to justify repression and to give investigations legitimacy. The article indicates that the formal public–private distinction is far more thoroughly maintained than is suggested by the existing literature. Rather than challenging the centrality of state power, private insurers and the police construct, maintain and have a stake in the reproduction of a state‐centric monopoly of crime control.     

Bootstrap Testing of Hypotheses on Co‐Integration Relations in Vector Autoregressive Models

It is well known that the finite‐sample properties of tests of hypotheses on the co‐integrating vectors in vector autoregressive models can be quite poor, and that current solutions based on Bartlett‐type corrections or bootstrap based on unrestricted parameter estimators are unsatisfactory, in particular in those cases where also asymptotic χ² tests fail most severely. In this paper, we solve this inference problem by showing the novel result that a bootstrap test where the null hypothesis is imposed on the bootstrap sample is asymptotically valid. That is, not only does it have asymptotically correct size, but, in contrast to what is claimed in existing literature, it is consistent under the alternative. Compared to the theory for bootstrap tests on the co‐integration rank (Cavaliere, Rahbek, and Taylor, 2012), establishing the validity of the bootstrap in the framework of hypotheses on the co‐integrating vectors requires new theoretical developments, including the introduction of multivariate Ornstein–Uhlenbeck processes with random (reduced rank) drift parameters. Finally, as documented by Monte Carlo simulations, the bootstrap test outperforms existing methods.     

Oracle Inequalities for Convex Loss Functions with Nonlinear Targets

This article considers penalized empirical loss minimization of convex loss functions with unknown target functions. Using the elastic net penalty, of which the Least Absolute Shrinkage and Selection Operator (Lasso) is a special case, we establish a finite sample oracle inequality which bounds the loss of our estimator from above with high probability. If the unknown target is linear, this inequality also provides an upper bound of the estimation error of the estimated parameter vector. Next, we use the non-asymptotic results to show that the excess loss of our estimator is asymptotically of the same order as that of the oracle. If the target is linear, we give sufficient conditions for consistency of the estimated parameter vector. We briefly discuss how a thresholded version of our estimator can be used to perform consistent variable selection. We give two examples of loss functions covered by our framework.