Work–family conflict: comparing the experiences of Turkish and native Belgian women

ABSTRACT

While research has focused on a number of dimensions of work–family conflict (WFC), hardly any literature exists that analyses how differences in family systems might help to explain variations in WFC experiences. By employing Reher’s typology of strong and weak family ties to integrate existing research and identify unaddressed features, this study finds that researchers have generally understudied the role of structural family ties on WFC. Qualitative data gathered from interviews with highly educated native Belgian and Turkish immigrant women living in Belgium are used to analyse variation in the WFC experiences and coping strategies of these two groups. The results suggest that a number of interconnected factors related to family systems – including internalisation of gender roles, division of family-related responsibilities, support mechanisms and external pressures from family and society, and socialisation processes of minority women in both family structures – are highly significant in explaining variations in women’s WFC experiences.     

Un/Free mobility: Roma migrants in the European Union

ABSTRACT

This special issue showcases work that theorises and critiques the political, economic, legal, and socio-historical (‘ethnic’ or ‘cultural’) subordination of the European Roma (so-called ‘Gypsies’), from the specific critical vantage point of Roma migrants living and working within and across the space of the European Union (EU). Enabled primarily through ethnographic research with diverse Roma communities across the heterogeneous geography of ‘Europe’, the contributions to this collection are likewise concerned with the larger politics of mobility as a constitutive feature of the sociopolitical formation of the EU. Foregrounding the experiences and perspectives of Roma living and working outside of their nation-states of ‘origin’ or ostensible citizenship, we seek to elucidate wider inequalities and hierarchies at stake in the ongoing (re-)racialisation of Roma migrants, in particular, and imposed upon migrants, generally. Thus, this special issue situates Roma mobility as a critical vantage point for migration studies in Europe. Furthermore, this volume shifts the focus conventionally directed at the academic objectification of ‘the Roma’ as such, and instead seeks to foreground and underscore questions about ‘Europe’, ‘European’-ness, and EU-ropean citizenship that come into sharper focus through the critical lens of Roma racialisation, marginalisation, securitisation, and criminalisation, and the dynamics of Roma mobility within and across the space of ‘Europe’. In this way, this collection contributes new research and expands critical interdisciplinary dialogue at the intersections of Romani studies, ethnic and racial studies, migration studies, political and urban geography, social anthropology, development studies, postcolonial studies, and European studies.     

Brain Drain from Turkey: Return Intentions of Skilled Migrants

The study estimates an empirical model of return intentions using a dataset compiled from an internet survey of Turkish professionals residing abroad. In the migration literature, wage differentials are often cited as an important factor explaining skilled migration. The findings of our study suggest, however, that non‐pecuniary factors, such as the importance of family and social considerations, are also influential in the return or non‐return decision of the highly educated. In addition, economic instability in Turkey, prior intentions to stay abroad, and work experience in Turkey also increase non‐return. Female respondents also appear less likely to return indicating a more selective migration process for females.     

A visual interactive approach to classical and mixed vehicle routing problems with backhauls

In this paper a new visual interactive approach for the classical vehicle routing problem with backhauls (VRPB) and its extensions is presented. The classical VRPB is the problem of designing minimum cost routes from a single depot to two type customers that are known as Backhaul (pickup) and Linehaul (delivery) customers where deliveries after pickups are not allowed. The mixed VRPB is an extension of the classical VRPB where deliveries after pickups are allowed.     

Robust ridge and robust Liu estimator for regression based on the LTS estimator

In the multiple linear regression analysis, the ridge regression estimator and the Liu estimator are often used to address multicollinearity. Besides multicollinearity, outliers are also a problem in the multiple linear regression analysis. We propose new biased estimators based on the least trimmed squares (LTS) ridge estimator and the LTS Liu estimator in the case of the presence of both outliers and multicollinearity. For this purpose, a simulation study is conducted in order to see the difference between the robust ridge estimator and the robust Liu estimator in terms of their effectiveness; the mean square error. In our simulations, the behavior of the new biased estimators is examined for types of outliers: X-space outlier, Y-space outlier, and X-and Y-space outlier. The results for a number of different illustrative cases are presented. This paper also provides the results for the robust ridge regression and robust Liu estimators based on a real-life data set combining the problem of multicollinearity and outliers.     

Superiority of the r–k Class Estimator Over Some Estimators In A Linear Model

In regression analysis, to overcome the problem of multicollinearity, the r ? k class estimator is proposed as an alternative to the ordinary least squares estimator which is a general estimator including the ordinary ridge regression estimator, the principal components regression estimator and the ordinary least squares estimator. In this article, we derive the necessary and sufficient conditions for the superiority of the r ? k class estimator over each of these estimators under the Mahalanobis loss function by the average loss criterion. Then, we compare these estimators with each other using the same criterion. Also, we suggest to test to verify if these conditions are indeed satisfied. Finally, a numerical example and a Monte Carlo simulation are done to illustrate the theoretical results.