Postcommunist Societies in Times of Transition: Perceptions of Change Among Adolescents in Central and Eastern Europe

This article examines adolescents' perceptions of the economic changes and the justice of the new social contract in Eastern/Central Europe. Focusing on three countries, Hungary, Bulgaria, and the Czech Republic, it explores the social, political, and economic environments in which adolescents came of age in 1990. Surveys conducted among high school students in each country during 1995 tapped their perceptions of the economy, the local community, and their personal beliefs about the efficacy of individual initiative and hard work. Responses differed significantly based on age, gender, social class, value orientation, and country. Older adolescents and girls were more likely to observe that economic disparities were growing in their country and to be cynical about the value of hard work. Those with socialist values also discounted the value of recent changes. Adolescents in the Czech Republic were the least cynical about economic changes, whereas those in Bulgaria were the most cynical, with Hungarian youth the least optimistic about the future.     

Incorporating historical two‐arm data in clinical trials with binary outcome: A practical approach

The feasibility of a new clinical trial may be increased by incorporating historical data of previous trials. In the particular case where only data from a single historical trial are available, there exists no clear recommendation in the literature regarding the most favorable approach. A main problem of the incorporation of historical data is the possible inflation of the type I error rate. A way to control this type of error is the so‐called power prior approach. This Bayesian method does not “borrow” the full historical information but uses a parameter 0 ≤ δ ≤ 1 to determine the amount of borrowed data. Based on the methodology of the power prior, we propose a frequentist framework that allows incorporation of historical data from both arms of two‐armed trials with binary outcome, while simultaneously controlling the type I error rate. It is shown that for any specific trial scenario a value δ > 0 can be determined such that the type I error rate falls below the prespecified significance level. The magnitude of this value of δ depends on the characteristics of the data observed in the historical trial. Conditionally on these characteristics, an increase in power as compared to a trial without borrowing may result. Similarly, we propose methods how the required sample size can be reduced. The results are discussed and compared to those obtained in a Bayesian framework. Application is illustrated by a clinical trial example.     

Income,deprivation and economic stress in the enlarged European Union

At risk of poverty indicators based on relative income measures suggest that within the enlarged EU societies located at quite different points on a continuum of affluence have similar levels of poverty. Substantial differences in levels of income between societies do not in themselves invalidate this approach. However, the relative income approach fails to capture the fact that, if countries are grouped in terms of level of GDP, between economic cluster differences in life-style deprivation are sharper at lower income levels. Support for the argument relating to restricted reference groups is found in relation to the contrast between the twelve most affluent EU countries and all others. The limitations of relative income poverty lines have little to do with the process of enlargement as such. Instead the major problem involves the weak association between income and deprivation in the more affluent countries. However, as a consequence of such difficulties, such indicators do not provide entirely meaningful comparisons of levels of disadvantage across economic clusters. The current analysis, rather than supporting the alternative of a focus on absolute income or an EU wide poverty line, suggests that we should take the argument for adopting a multidimensional approach to the measurement of poverty more seriously.     

Reliability of weighted k-out-of-n: G systems consisting of two types of components and a cold standby component

In this article, the influence of a cold standby component to the reliability of weighted k-out-of-n: G systems consisting of two different types of components is studied. Weighted k-out-of-n: G systems are generalization of k-out-of-n systems that has attracted substantial interest in reliability theory because of their various applications in engineering. A method based on residual lifetimes of mixed components is presented for computing reliability of weighted k-out-of-n: G systems with two types of components and a cold standby component. Reliability and mean time to failure of different structured systems have been computed. Moreover, obtained results are used for defining optimal system configurations that can minimize the overall system costs.     

Measuring firing costs: The case for direct methods

Firing costs, together with the legislative and regulatory frameworks governing employment relations, are often blamed for poor labour market outcomes. Yet, research on the economic impacts of these costs is inconclusive. There has been much focus on functional assumptions and the significance of parameters, but very little on the quality and precision of the cost measures upon which most results hinge. Reviewing the indirect and direct measurement methods commonly used, the author argues that direct quantitative methods, rarely used in research, are much needed to complement more popular indirect measures. A recent survey experiment conducted in Australia illustrates this point.     

Are equalization payments making Canadians better off? A two-dimensional dominance answer

This article provides a robust normative appraisal of the Canadian equalization transfers system. The two-dimensional dominance criteria introduced by Atkinson and Bourguignon (RES, 1982) are used to compare the distributions of private and public goods before and after equalization payments. Because the distribution before equalization is not observable, it is simulated on the basis of various scenarios that specify both its financing by the federal government and its utilization by provincial governments. The main result of the paper is that, for most scenarios, equalization transfers have an ambiguous normative impact on the distribution of well-being among Canadians and that, for some scenarios, equalization transfers actually worsen this distribution of well-being.     

Are moral norms distinct from social norms? A critical assessment of Jon Elster and Cristina Bicchieri

This article offers a critical assessment of Cristina Bicchieri and Jon Elster’s recent attempt to distinguish between social, moral, and quasi-moral norms. Although their typologies present interesting differences, they both distinguish types of norms on the basis of the way in which context, and especially other agents’ expectations and behavior, shapes one’s preference to comply with norms. We argue that both typologies should be abandoned because they fail to capture causally relevant features of norms. We nevertheless emphasize that both Bicchieri and Elster correctly draw attention to important and often neglected characteristics of the psychology of norm compliance.     

A location–allocation model for service providers with application to not-for-profit health care organizations

In this paper, we develop and solve a model for the location and allocation of specialized health care services such as traumatic brain injury (TBI) treatment. The model is based on and applied to one of the Department of Veterans Affairs’ integrated service networks. A cost minimization model with service proportion requirements is solved using simulated annealing. Large instances of the model with 100 candidate medical center locations and 15 open treatment units are solved in about 1000 s. In order to test the real-world applicability of our model, an extensive managerial experiment is conducted using data derived from our health care setting. In this experiment, the effects of three critical factors: (1) degree of centralization of services, (2) the role of patient retention as a function of distance to a treatment unit, and (3) the geographic density of the patient population are investigated with respect to the important trade-off between the cost of providing service and the need to provide such service. Our analysis shows that all three factors of the experiment are both relevant and useful to decision-makers when selecting locations for their services.