Obstacles and Opportunities Foreign Graduates Meet In Dalarna Labour Market, Sweden

Foreign graduates have been part of the success stories of many developed countries. This is as a result of their immeasurable deposit of ideas, knowledge, and innovation in the host country. Though the process of these foreign graduates penetrating and integrating into the labour market of the host country could be slow and rough as they encounter some obstacles on the way; they still strive to break through and be part of the country’s workforce because they foresee some opportunities therein. This research study is about the obstacles and opportunities foreign graduates meet in Dalarna labour market. The study investigated and identified the obstacles and opportunities foreign graduates meet in Dalarna labour market. For a thorough execution of this research, we collected primary data by handing questionnaires to 65 foreign graduates searching for jobs in Dalarna region and interviewed eight people, among which seven were foreign graduates and one of them was a staff at Arbestförmedlingen (Employment Agency) to give us a general view of the Dalarna labour market. We read previous research works and related articles to understand the topic in order to get an overview of the terminologies and concept to apply. This study concluded that language is a major obstacle foreign graduates meet in the Dalarna labour market. Other possible obstacles include culture, poor integration policies, lack of a placement bureau, lack of trust, limited opportunities, favoritism, lack of jobs, lack of references and experience. On the other hand factors like job availability, outgoing labour force and unskilled labour are possible opportunities foreign graduates meet in the Dalarna labour market. Furthermore flexible work time, good working atmosphere, experience, social security/welfare, good standard of living, family friendly region, higher wages, job security and cheap cost of living are also possible benefits that foreign graduates get in Dalarna.

Recent developments in statistical methods for detecting genetic loci affecting phenotypic variability

A number of recent works have introduced statistical methods for detecting genetic loci that affect phenotypic variability, which we refer to as variability-controlling quantitative trait loci (vQTL). These are genetic variants whose allelic state predicts how much phenotype values will vary about their expected means. Such loci are of great potential interest in both human and non-human genetic studies, one reason being that a detected vQTL could represent a previously undetected interaction with other genes or environmental factors. The simultaneous publication of these new methods in different journals has in many cases precluded opportunity for comparison. We survey some of these methods, the respective trade-offs they imply, and the connections between them. The methods fall into three main groups: classical non-parametric, fully parametric, and semi-parametric two-stage approximations. Choosing between alternatives involves balancing the need for robustness, flexibility, and speed. For each method, we identify important assumptions and limitations, including those of practical importance, such as their scope for including covariates and random effects. We show in simulations that both parametric methods and their semi-parametric approximations can give elevated false positive rates when they ignore mean-variance relationships intrinsic to the data generation process. We conclude that choice of method depends on the trait distribution, the need to include non-genetic covariates, and the population size and structure, coupled with a critical evaluation of how these fit with the assumptions of the statistical model.