<p>I slutet av 1970-talet började allt fler flyktingar söka sig till Sverige och det kom att bli behov av ett system för att ta emot och integrera flyktingar som fått uppehållstillstånd. Efter år 1985 baseras svensk flyktingmottagning på överenskommelser och samarbete mellan Migrationsverket och enskilda kommuner. Staten har det övergripande ekonomiska ansvaret för flyktingmottagningen, och landets kommuner anordnar mottagandet och organiserar samhällsservice för flyktingarna. Enligt en lista från Migrationsverket är flyktingmottagandet i Sverige inte jämnt fördelat över landet -vissa kommuner tar till exempelvis inte emot några flyktingar överhuvudtaget.</p><p>Uppsatsens syfte är att undersöka vilka faktorer som påverkar kommunernas flyktingmottagande. Den fråga som uppsatsen har för avsikt att besvara är:</p><p>• Hur påverkar variablerna medelinkomst, arbetslöshet, åldersfördelning, bostadsbrist, socialistiskt eller borgerligt styre, andelen Sverigedemokratiska mandat i kommunfullmäktige samt andelen tidigare utländska medborgare i kommunen, de olika kommunernas flyktingmottagande?</p><p>Med hjälp av statistisk sambandsanalys kommer vi fram till följande resultat:</p><p>• Andelen utländska medborgare som redan bor i kommunen har en stark positiv påverkan på andelen mottagna flyktingar. Det vill säga om andelen utländska medborgare i kommunen redan är stor så är också flyktingmottagandet stort.</p><p>• Medelinkomsten samverkar negativt med andelen flyktingar som tas emot i kommunen, vilket innebär att ju högre medelinkomst desto färre flyktingar tas emot.</p><p>• Borgerligt styre i en kommun har en negativ påverkan på flyktingmottagandet. Dock kan man inte säga att socialistiskt styrda kommuner eller andelen Sverigedemokratiska mandat i kommunfullmäktige skulle ha någon positiv påverkan på flyktingmottagande, det vill säga att det skulle leda till ett ökat flyktingmottagande.</p><p>• I takt med ökad arbetslöshet i kommunen minskar flyktingmottagandet</p><p>• Bostadsbristen har en svag negativ påverkan på mottagandet, kommunerna tar emot färre flyktingar vid ökad bostadsbrist.</p> / <p>In the late 1970: s more refugees began to apply for citizenship in Sweden and a demand for a new system to handle and integrate the refugees appeared. Since 1985 the Swedish refugee reception are based on agreements and cooperation between Migrationsverket and individual municipalities. The state has the overall economic responsibility for the refugee reception, while the municipalities organize the reception and public service for the refugees. However according to a list from Migrationsverket the refugee reception in Sweden is irregularly distributed over the country - some municipalities do not accept any refugees at all.</p><p>The aim of this essay is to examine which factors that influence the municipalities’ willingness to accept refugees. The question the essay intends to answer is:</p><p>• How does the variables average income, unemployment, age distribution, housing shortage, political majority, the number of seats the political party Sverigedemokraterna holds in the municipal council and the proportion of former foreign citizens, influences the different municipalities' willingness to accept refugees?</p><p>With help of statistic analysis following results emerged:</p><p>• The proportion of foreign citizens that already live in a municipality have a considerable impact on the proportion of received refugees. Videlicet if the proportion of former foreign citizens is large already, also the refugee reception is large.</p><p>• The average income interacts negatively with the proportion refugees that are accepted in a municipality.</p><p>• Non-Socialist majority in a municipality have a negative effect on the refugee reception. However, one can not say that a socialist majority or how many seats the political party Sverigedemokraterna holds in the municipal council have any impact on the refugee reception.</p><p>• Increased unemployment in a municipality decreases the refugee reception.</p><p>• A shortage of housing has a small negative impact on the reception.</p>

Thesis (M.S.)--West Virginia University, 2006. / Title from document title page. Document formatted into pages; contains xv, 133 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 126-133).

Thesis (Ph. D.)--Ohio State University, 2006. / Available online via OhioLINK's ETD Center; full text release delayed at author's request until 2007 Aug 14

This thesis will determine the factors that have affected the economy in the countries from ex-Yugoslavia. A couple of regression analyses will test the correlation between GDP Growth or GDP per Capita and twelve independent variables. The analyses tell us that high import ratio, low inflation and not being in an intrastate war are associated with high GDP Growth, where high political rights, being a member of the European Union or having a status as a Candidate Country are associated with high GDP per Capita. The explanation for the different result might be the catch up effect.

The association of exchange rates with stock returns and performance in major trading markets is widely accepted. The world’s economy has seen unprecedented growth of interdependent; as such the magnitude of the effect of exchange rates on returns will be even stronger. Since the author perceives the importance of exchange rates on stock returns, the author found it interesting to study the effect of exchange rates on some stocks traded on the Stock exchange. There has been a renewed interest to investigate the relationship between returns and exchange rates as such; the author has chosen to investigate the present study to focus in the United Kingdom with data from the London Stock exchange .The author carried out his research on 18 companies traded on the London Stock Exchange in the process, using linear regression analysis. Taking into account the fact that the magnitude of exchange rate movements on stock returns is governed by a series of factors, the author did set up a selection criteria which spread across a series of industries ranging from financial services, manufacturing, aviation, mining, tobacco, fashion and food processing. All selected companies are of the FTSE 100 companies. The author produced results that to some degree are consistent with predictions in the theoretical framework. The author find significant exposure of stock returns to changes in exchange rates for some companies in the sample of FTSE 100 firms used in the study. The author equally finds out that particular currencies may be of more risk to certain companies than to others by introducing euro values in to his regression equation. This gives the compelling evidence that these companies rely heavily on external sales and revenue. The author, further employed lagged values of exchange rates in to his regression and found significant evidence of the possibility of mispricing for certain stocks and the impact of the previous days trading figures on present stock prices. The author believes that the weak responds in certain cases was as a result of hedging strategies put in place by these companies and risk management strategies which tend to minimise the effect of exchange rates movements.

The real estate market has been of great interest since the rise in home foreclosures in US, which started in the late 2006. The purpose of this thesis is to examine a possible relationship between the factors presented in DiPasquale and Wheaton’s (1996) model which explains the market linkages between the property market and asset market, and the Swedish real estate companies listed on the Swedish stock market OMX. The real estate stock market is, divided in to groups of 3, which represented the dependent variable. The repo rate, CPI, expected inflation, macro index, disposable income, GDP and a real estate price index are the explanatory variables. Stockholm Stock Market All- Share Index (OMXSPI) is also included as a possible explanatory variable. The main findings in most of the estimations for the groups and years, is that the OMXSPI is of significance at the 10 percent level. The other variables did not show any significant result based on the 10 percent significance level, According to the results it seems like the volatility has increased over time in the real estate stock market with respect to the OMXSPI. That is; the risk has increased significantly from the period 1996-1999 to the later periods.

In the age of Web2.0, various network services became critical. Exchange of messages between entities in the network is so frequent that information explosion is quite common nowadays. Volume of Information passed is growing up rapidly. With the wide development of web applications, people need to learn how to filter the important messages; service providers have urgent need to trace the ever changing role of users. This research studies the detections of the user interaction scenario, based on the result from the test function in the on-line learning platform. The learning platform users are divided into two groups, teachers and students, based on their roles. Usually students sit for an on-line examination at the end of each learning activity. The teachers are in charge of helping students with their presentations, encouraging those with good grades, and helping the weaker ones to reach their potential. But in the one-to-many teaching method, a teacher needs to face many students and the resultant grade of an examination becomes a heap of fuzzy and difficult to comprehend numbers. Even though some mathematical tools can help the teachers analyze the data, it is still very difficult to provide appropriate response to each student. The purpose of this research motives building an examination system which combines context-awareness and auto-notification, and bring the advantages of digital examination. An inference engine is used to calculate linear regression of learning curve for each student, then review the old data, and transfer the analysis into the learning context. Then the feedback is given to the students under the various learning context or the teacher will get notification after it compile the analysis. Besides analyzing the past data, the linear regression result will be adjusted to fit the characteristics of learning curve and infer the personal goal of the student. If result is better than expected goal, students should be encouraged. On the other hand, the remediable actions will be administered. Those events can be scheduled by the manager of auto-notification system, published in the appropriate time, and achieve the goal of variety, personalization, and automation.

Background: For an investor inflation has always caused problems since it eatsaway portfolio returns, reducing the purchasing power. Russia hasbeen fighting high inflation for the last two decades primarily due tothe economic restructuring from central planning to a free marketeconomy, raising the price levels. Historically property has been regardedas a good hedge against inflation and multiple research studiessupport this assumption. The Russian market for real estate hasgrown significantly over the last decade and is very interesting froma investor perspective. Purpose: The purpose of this thesis is to determine whether Russian Real Estate Funds are an effective investment tool in a portfolio to hedgeagainst inflation. Method: To fulfill our purpose for this study a quantitative method with adeductive approach is used. The methodology constitutes as theframe for the thesis. In order to analyze the secondary data, We willmake use of statistical models proven from past research/literaturewithin in the field. Conclusion: The empirical findings of this study show that during the time period investigated, there exist no evidence that a portfolio holdingRussian real estate funds could act as an appropriate hedge againstinflation. We believe the results could be explained by the limitationin the Russian market when gathering data due to transparencyproblems. There are also relativity few empirical studies within thefield of study in markets with a high inflation rate. Finally We believethe study could enhance an investor’s choice in markets withsimilar conditions.

In regression analysis, random errors in an explanatory variable cause the usual estimates of its regression coefficient to be biased. Although this problem has been studied for many years, routine methods have not emerged. This thesis investigates some aspects of this problem in the setting of analysis of epidemiological data. A major premise is that methods to cope with this problem must account for the shape of the frequency distribution of the true covariable, e.g., exposure. This is not widely recognized, and many existing methods focus only on the variability of the true covariable, rather than on the shape of its distribution. Confusion about this issue is exacerbated by the existence of two classical models, one in which the covariable is a sample from a distribution and the other in which it is a collection of fixed values. A unified approach is taken here, in which for the latter of these models more attention than usual is given to the frequency distribution of the fixed values. In epidemiology the distribution of exposures is often very skewed, making these issues particularly important. In addition, the data sets can be very large, and another premise is that differences in the performance of methods are much greater when the samples are very large. Traditionally, methods have largely been evaluated by their ability to remove bias from the regression estimates. A third premise is that in large samples there may be various methods that will adequately remove the bias, but they may differ widely in how nearly they approximate the estimates that would be obtained using the unobserved true values. A collection of old and new methods is considered, representing a variety of basic rationales and approaches. Some comparisons among them are made on theoretical grounds provided by the unified model. Simulation results are given which tend to confirm the major premises of this thesis. In particular, it is shown that the performance of one of the most standard approaches, the "correction for attenuation" method, is poor relative to other methods when the sample size is large and the distribution of covariables is skewed. / Graduation date: 1993

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