On the Differential Attachments of Migrants from Central and Eastern Europe: A Typology of Labour Migration

In this article we develop an empirically grounded typology of labour migration patterns among migrants from Central and Eastern Europe, based on two dimensions: attachment to the destination country and attachment to the country of origin. We conducted a survey (N=654) among labour migrants in the Netherlands from Poland, Bulgaria and Romania. We found four migration patterns in our data: (i) circular migrants (mostly seasonal workers) with weak attachments to the country of destination, (ii) bi-nationals with strong attachments to both the home country and that of destination, (iii) footloose migrants with weak attachments to both the home and the destination country, and (iv) settlers with weak attachments to the home country. Our findings demonstrate the relevance to the debate on transnationalism and integration of distinguishing different migration patterns. Successful integration in Dutch society can go hand-in-hand with ‘strong’ as well as with ‘weak’ forms of transnationalism. The bi-national pattern shows a tendency to strong transnationalism, while the settlement pattern demonstrates less transnational involvement with the country of origin.     

Educational Homogamy and Gender-Specific Earnings: Sweden, 1990–2009

Several studies have shown strong educational homogamy in most Western societies, although the trends over time differ across countries. In this article, we study the connection between educational assortative mating and gender-specific earnings in a sample containing the entire Swedish population born 1960–1974; we follow this sample from 1990 to 2009. Our empirical strategy exploits a longitudinal design, using distributed fixed-effects models capturing the impact of partner education on postmarital earnings, relating it to the income development before union formation. We find that being partnered with someone with more education (hypergamy) is associated with higher earnings, while partnering someone with less education (hypogamy) is associated with lower earnings. However, most of these differences in earnings emerge prior to the time of marriage, implying that the effect is explained by marital selection processes rather than by partner education affecting earnings. The exception is hypogamy among the highly educated, for which there are strong indications that in comparison with homogamy and hypergamy, earnings grow slower after union formation.     

Factors contributing to the perpetration of workplace incivility: the importance of organizational aspects and experiencing incivility from others

In recent years a growing amount of research has been conducted in the area of workplace incivility. Whereas many studies have focused on the victims and the consequences of incivility, little attention has been paid to the perpetrators and antecedents of workplace incivility. This study aims to identify possible antecedents of workplace incivility, by investigating organizational aspects as well as the possibility that being the target of incivility from co-workers and supervisors could induce incivility. A total of 512 employees (378 women and 133 men) in the school sector in a Swedish municipality completed an online questionnaire. Overall, the results of structural equation modelling analyses showed that organizational variables were related to the perpetration of incivility. A direct relationship was found between being uncivil and organizational change, job insecurity, low social support from co-workers and high job demands. However, the strongest relationship was found between experienced incivility from co-workers and instigated incivility. This could be reflecting a climate or culture of incivility in the organization, and carry implications for future practice in interventions against workplace incivility. The results indicate the importance of focusing on the perspective of the instigator to gain knowledge about the process of workplace incivility.     

A Likelihood Ratio Test for Idiosyncratic Unit Roots in the Exact Factor Model with Integrated Factors

We consider an exact factor model with unobservable common stochastic trends imposed by non-stationary factors, and study, by simulation, the power of the likelihood ratio test for unit roots in the idiosyncratic components. The power of the test is compared with the analogous Lagrange multiplier test and the Fisher-type test proposed by Bai and Ng. The results suggest that the benefit of the likelihood ratio test is in panels with a small cross-section.     

A Multiple-community Overlap Measure Based on a Probabilistic Approach

Species diversity indices are designed to measure the species diversity of a community and to compare the species distribution structure of two communities. The Shannon and Simpson indices are for describing one community, and the Jaccard and Morisita indices are for comparing two communities. Only a few indices allow the simultaneous comparison of three or more communities. In this study, we propose a multiple-community similarity index based on a probabilistic approach, and compare it with other multiple-community indices. Empirical examples are considered as a demonstration of the proposed similarity indices.     

The Use of Investigations in the Introductory Statistics Course

Reasons for including investigations in a first course in statistics are presented. Investigations create an environment of participation and give the student the opportunity to experience statistics in action. This participation highlights the interaction between science and statistics. Suggestions are made regarding the integration of investigations into a formal course environment. One investigation is presented in detail. Thirteen other investigations are outlined. Emphasis is placed on experiments that require minimal set-up time yet illustrate important statistical concepts.     

Analogies for Helping Clinicians and Investigators Better Understand the Principles and Practice of Biostatistics

For the interaction between the biostatistician and the clinician or research investigator to be successful, it is important not only for the investigator to be able to explain biological and medical principles in a way that can be understood by the biostatistician, so, too, the biostatistician needs tools to help the investigator understand both the practice of statistics and specific statistical methods. In our practice, we have found it useful to draw analogies between statistical concepts and familiar medical or everyday ideas. These analogies help to stress a point or provide an understanding on the part of the investigator. For example, explaining the reason for using a nonparametric procedure (a general procedure used when the underlying distribution of the data is not known or cannot be assumed) by comparing it to using broad spectrum antibiotics (a general antibiotic used when the specific bacteria causing infection is unknown or cannot be assumed) can be an effective teaching tool. We present a variety of useful (and hopefully amusing) analogies that can be adopted by statisticians to help investigators at all levels of experience better understand principles and practice of statistics.     

Identifying non-competitive bids in construction contract auctions

Construction contract auctions are characterised by (1) anticipated high outliers due to the presence of non-competitive bids, (2) very small samples and (3) uncertainty of the appropriate underlying density function model of the bids. This paper describes the simultaneous identification of high outliers and density function by systematically identifying and removing candidate (high) outliers and examining the composite goodness-of-fit of the resulting reduced samples with the normal and lognormal density functions. Six different identification strategies are tested empirically by application, both independently and in pooled form, to several sets of auction data gathered from around the world. The results indicate the normal density to be the most appropriate model and a multiple of the auction standard deviation to be the best identification strategy.     

Online algorithms for maximizing weighted throughput of unit jobs with temperature constraints

We consider a temperature-aware online deadline scheduling model. The objective is to schedule a number of unit jobs, with release dates, deadlines, weights and heat contributions, to maximize the weighted throughput subject to a temperature threshold. We first give an optimally competitive randomized algorithm. Then we give a constant competitive randomized algorithm that allows a tradeoff between the maximum heat contribution of jobs and the competitiveness. Finally we consider the multiple processor case and give several tight upper and lower bounds.