The impact of professional and personal satisfaction on perceptions of rural and urban: Some analytic evidence

Studies of rural-urban location decisions traditionally used ana priori definition of rural/urban based on population size. A group of 29 physicians (study group) practising in communities of less than 10 000, that were part of a larger sample, perceived their communities as ‘urban’. A matched group of physicians (control group) in the same communities, who perceived the communities as ‘rural’, was selected. The research question raised was: Are there personal and professional factors that could reliably predict the perception of rural and urban? A logistic regression analysis was done using professional and personal satisfaction items as predictors of the two groups. The analysis gives some evidence that, once the effect of community size is removed, the perception of rural urban can be explained by satisfaction with the following: (i) access to specialist expertise, (ii) quality of education for children, (iii) quality of life for children and (iv) quality of housing; satisfaction with size of community was not a significant predictor of rural/urban perception.     

Centralized resource planning and Yardstick competition

Multidivisional and decentralized firms often operate inefficiently. In most cases, central management's instruments to influence its branches' behavior are limited. Although relative performance evaluation has been argued to be of great use in defining incentive mechanisms, such approaches cannot be transferred easily to internal performance management. We approach this issue by changing the perspective of performance evaluation. Based on the recently introduced CRA-DEA model, we develop a new super-efficiency measure that enables to establish purposive intra-organizational incentive mechanisms. By means of a numerical example, analyzing the performance of a German retail bank, the applicability of our measure is shown and compared to standard DEA models. Centralized super-efficiency seems able to suit the specific needs of intra-organizational performance management.     

On the Nature of Fair Behavior

This article shows that identical offers in an ultimatum game generate systematically different rejection rates depending on the other offers that are available to the proposer. This result casts doubt on the consequentialist practice in economics to define the utility of an action solely in terms of the consequences of the action irrespective of the set of alternatives. It means in particular that negatively reciprocal behavior cannot be fully captured by equity models that are exclusively based on preferences over the distribution of material payoffs.     

A new lifetime model with different types of failure rate

A new class of lifetime distributions, which can exhibit with upside-down bathtub-shaped, bathtub-shaped, decreasing, and increasing failure rates, is introduced. The new distribution is constructed by compounding generalized Weibull and logarithmic distributions, leading to improvement on the lifetime distribution considered in Dimitrakopoulou et al. (2007 Dimitrakopoulou, T., K. Adamidis, and S. Loukas. 2007. A lifetime distribution with an upside-down bathtub-shaped hazard function. IEEE Transactions on Reliability 56:308–11.[Crossref], [Web of Science ®] , [Google Scholar]) by having no restriction on the shape parameter and extending the result studied by Tahmasbi and Rezaei (2008 Tahmasbi, R., and S. Rezaei. 2008. A two-parameter lifetime distribution with decreasing failure rate. Computational Statistics and Data Analysis 52:3889–901.[Crossref], [Web of Science ®] , [Google Scholar]) in the general form. The proposed model includes the exponential–logarithmic and Weibull–logarithmic distributions as special cases. Various statistical properties of the proposed class are discussed. Furthermore, estimation via the maximum likelihood method and the Fisher information matrix are discussed. Applications to real data demonstrate that the new class of distributions is more flexible than other recently proposed classes.     

Probability models for family building: An analytical review

Considerable literature now exists on stochastic models for the reproductive history of a cohort of couples. These models are of varying complexity and the relationships between separate treatments are not always clear. A classification system for such models is proposed, followed by a historical review of models for family building and for logically related processes. Models, differing only in treatment of time as discrete or continuous, are presented in detail for the simple case where the prob ability of conception is constant, and all conceptions lead to live births which are associated with a fixed nonsusceptible period. Analysis of different treatments is facilitated by introducing the notion of the time when a conception is recorded. Emphasis is placed on results for the probability of a recording at a specified time t, the probability of r recordings by time t, and the expected number of recordings in time t. Differences between the discrete and continuous time models are made explicit. It is shown that results for these models can be derived using renewal theory techniques, which are presented. More complex models based on renewal theory and allowing for several pregnancy outcomes or for variability in parameters are briefly described, followed by generalized models which allow parameters to vary with time. Applications of family building models are summarized.     

Driving Forces Behind Informal Sanctions

This paper investigates the driving forces behind informal sanctions in cooperation games and the extent to which theories of fairness and reciprocity capture these forces. We find that cooperators' punishment is almost exclusively targeted toward the defectors, but the latter also impose a considerable amount of spiteful punishment on the cooperators. However, spiteful punishment vanishes if the punishers can no longer affect the payoff differences between themselves and the punished individual, whereas the cooperators even increase the resources devoted to punishment in this case. Our data also discriminate between different fairness principles. Fairness theories that are based on the assumption that players compare their own payoff to the group's average or the group's total payoff cannot explain the fact that cooperators target their punishment at the defectors. Fairness theories that assume that players aim to minimize payoff inequalities cannot explain the fact that cooperators punish defectors even if payoff inequalities cannot be reduced. Therefore, retaliation, i.e., the desire to harm those who committed unfair acts, seems to be the most important motive behind fairness‐driven informal sanctions.     

How to avoid concerns with the interpretation of two primary endpoints if significant superiority in one is sufficient for formal proof of efficacy

Formal proof of efficacy of a drug requires that in a prospective experiment, superiority over placebo, or either superiority or at least non-inferiority to an established standard, is demonstrated. Traditionally one primary endpoint is specified, but various diseases exist where treatment success needs to be based on the assessment of two primary endpoints. With co-primary endpoints, both need to be “significant” as a prerequisite to claim study success. Here, no adjustment of the study-wise type-1-error is needed, but sample size is often increased to maintain the pre-defined power. Studies that use an at-least-one concept have been proposed where study success is claimed if superiority for at least one of the endpoints is demonstrated. This is sometimes also called the dual primary endpoint concept, and an appropriate adjustment of the study-wise type-1-error is required. This concept is not covered in the European Guideline on multiplicity because study success can be claimed if one endpoint shows significant superiority, despite a possible deterioration in the other. In line with Röhmel's strategy, we discuss an alternative approach including non-inferiority hypotheses testing that avoids obvious contradictions to proper decision-making. This approach leads back to the co-primary endpoint assessment, and has the advantage that minimum requirements for endpoints can be modeled flexibly for several practical needs. Our simulations show that, if planning assumptions are correct, the proposed additional requirements improve interpretation with only a limited impact on power, that is, on sample size.