Uppsatsen undersöker om olika grupper av bilköpare skiljer sig åt avseende hur de anpassade tidpunkten för sina inköp av personbilar, i anslutning till bonus malus-systemetsikraftträdande den 1 juli 2018. Med utgångspunkt i ett teoretiskt ramverk om priskänslighet och rationella val, tillämpas en linjär sannolikhetsmodell på ett datamaterial över nybilsköpare i juni och juli 2018. Vi estimerar sannolikheten för respektive grupp att införskaffa en personbil i den månad som är förknippad med en lägre kostnad. När vi inkluderar valda kontrollvariabler finner vi, med statistisk signifikans, att juridiska personer och boende i icke tätbefolkade län har anpassat tidpunkten för införskaffande i större utsträckning än andra grupper. Mer specifik data hade gynnat studien, varför försiktighet bör vidtas för att kunna dra några definitiva slutsatser, och vidare forskning adresseras. Resultaten bidrar alltjämt till förståelsen för de undersökta skillnaderna grupperna emellan, samt kan vara av intresse för utformning av liknande ekonomisk policy.

It has been noticed that throughout the years, immigrant’s skills, knowledge, and experience have declined. In fact, researchers have noticed the presence of cohort effects, where there are differences in quality and skills across the immigrants. Using data from the German Socio-Economic Panel and through an out-of-sample forecast of the employment of recent cohorts based on how earlier newcomers performed, I can confirm that, over time, immigrants see their probability of being employed decrease. For instance, employment decreased from 99% for immigrants that arrived in Germany in 2010 to 92% for those that came in 2015. The linear probability model also highlights that not only human capital influences directly employment levels of immigrants. Undeniably, the region of origin and the immigrants’ duration of residence in Germany also impact the likelihood of finding a paid job. Therefore, cohort effects cannot only be justified by the fact that newly arrived immigrants are very different from those who arrived some years ago.

The purpose of this bachelor thesis was to compare three different methods for regression with binary outcomes. The three methods used for comparison are: Linear Probability Model, Logit and Probit. To compare the methods, data gathered from the World Value Survey when it last was done in Sweden in 2011 was used. The outcome variable in the creation of the models was whether the respondent preferred protecting the environment or economic growth. A Monte Carlo-simulation was also performed to strengthen the arguments in the comparison.  The results from the different models created was very small, but there are still differences. Two examples of the differences are the simplicity of interpretation between the models and errors that argues for not using Linear Probability Model under certain circumstances.

How does the level of clientelistic distribution effect the risk of violent challenges towards the state in democracies? The relationship between democracy and violent conflict has been extensively tested, with diverging results. Utilizing time-series data from 162 independent democratic states ranging from 1946 to 2018, the relationship is here tested by separating the informal institutions of democracy from the formal. And running the level of clientelistic distribution, a conflicting informal institution, as the independent variable in a linear probability model. Which shows that an increase in the level of clientelism significantly increases the risk of violent challenges.

Aim of this diploma thesis is to provide empirical tests of market efficiency of tennis wagering market. In large dataset, which consists of nearly 47 thousands matches and 225 thousands odds, I am searching for anomalies, which can prove market inefficiency. Potentially profitable and exploitable betting strategies are also examined. Main tools of empirical analysis are linear probability models and logit models. Favorit-longshot bias is present in my data, this finding is consistent with results of other empirical works (Lahvička, 2013; Cain, Law, Peel, 2000). Major contribution of this paper is confirmation of home-away bias, the issue, which was not tested in tennis matches so far. The same holds for chart-bias. I am not able to find profitable wagering rules based on out-of-sample predictions of my models. Simple betting rule, which consists of betting systematically on overwhelming favorites, is derived from historical odds. This strategy yields a profit 0,0094, but it's applicability is very limited.

There are ongoing discussions about a new reform of the mandatory fully funded individual accounts in the Swedish public pension system. Since the initial round in 2000, several funds have been excluded from the platform due to deceptive, and sometimes criminal, behavior towards the consumers. This paper analyzes which individuals that have invested in these funds, examines possible explanations for this, and sheds light on the current structure of the Premium Pension Scheme. By using a rich dataset on 650,000 individuals that consist of both those who have been in six particular dubious funds and a random sample of the rest of the Swedish pension savers, the variables of interest are evaluated in a logistic setting. The results show that individuals who are men, unmarried, divorced, in their older-middle age, have lower-incomes, live in rural areas, and the North of Sweden are more likely to have invested in one of the dubious funds. The results also reveal that some funds have clearer target-groups, while others have targeted more randomly. The study emphasizes the need for improving people’s financial decision-making through improved information.

This paper analyzes how the explained and unexplained part of the Oaxaca-Blinder decomposition has changed due to a shift in attitudes towards immigrants in Germany. We use the migration crisis in 2015 as an exogenous source of variation in attitudes towards immigrants. As many studies analyze labor market discrimination, there are very few studies examining discrimination in the German labor market by conducting a natural experiment. In contrast to previous empirics, this paper sets out to explain and decompose the differences between immigrants and natives using a rather unique method. This paper is based on data from the European Social Survey (ESS) conducted in 2014 and 2016 and is analyzed using measures of public attitudes, the linear probability model, and the Oaxaca-Blinder decomposition. The results indicate that there are rather great differences in employment probabilities, human capital and family constellations between immigrants and natives. Measuring public attitudes, it is evident that there has been a general decline in positive attitudes towards immigrants post the migration crisis in 2015. Analyzing the Oaxaca-Blinder decomposition, it is evident that the unexplained (discriminatory) part of the decomposition has decreased which is referred to as a decrease in discrimination in the labor market. Even though that a general decline in positive attitudes towards immigrants is present, an increase in the unexplained part of the decomposition is not observed. As no correlation between public attitudes and the unexplained part of the decomposition is apparent, it is most likely that employers base their employment decision on the extent of information provided. This indicating that discrimination in the labor market most likely is due to statistical discrimination and not due to the preferences of the employer.

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本研究的目的在暸解教師流動的型態與調動的因素，從83學年度臺灣省國民中學調動教師中抽取384人，並同時抽取380位未調動教師作為參照。 　　本研究採用虛擬依變項的迴歸分析，探討導致教師調動的因素。結果發現教師調動的型態存在往都會地區流動的現象。調動與非調動教師的比較中，在性別、教學年資、婚姻狀況與配偶的勞動參與率、自用住宅的擁有、調動次數、學校規模、以及是否為居民的變項上有顯著的不同。 　　在調動機率的影響方面，性別、教學年資、婚姻狀況與配偶的勞動參與率、調動次數、學校規模、以及薪資與福利措施的滿意度上，有著顯著的預測力。研究的結論是教育人力資源分配仍不平均，從影響教師調動機率的因素中，可以提供導引教育人力資源分配更加均衡的線索。 / The main purpose of this study is to inquire into the style about the teachers' mobility and the factors affecting such mobility. Sampling from 1994 academic year in Taiwan, the researcher focuses on the 384 cases of all mobilized teachers and their counterpart-380 nonmobilized cases. 　　A dummy dependent regression analysis is conducted to explore the factors. As a result, the phenomenon for mobility tends to flow into the metropolis. Factors affecting the mobility exhibits significant differences compared to nonmobility; such as factors among sex, seniority, marriage, inhibition, frequcncy of mobility and the scale of the school. 　　In additions, the propensity to mobile, as this study finds, has to do with their sex, seniority, marriage and the labor participation of spouse, frequcency of mobility, degree of the content about their wages and welfare, and the scale of the school. The conclusions made here are: the human resources in education is still scanty. From the factors influenced mobility probability, it can provide some clues to make the human resources in education more equal.

The main purpose of this study is to inquire into the style about the teachers' mobility and the factors affecting such mobility. Sampling from 1994 academic year in Taiwan, the researcher focuses on the 384 cases of all mobilized teachers and their counterpart-380 nonmobilized cases. A dummy dependent regression analysis is conducted to explore the factors. As a result, the phenomenon for mobility tends to flow into the metropolis. Factors affecting the mobility exhibits significant differences compared to nonmobility; such as factors among sex, seniority, marriage, inhibition, frequcncy of mobility and the scale of the school. In additions, the propensity to mobile, as this study finds, has to do with their sex, seniority, marriage and the labor participation of spouse, frequcency of mobility, degree of the content about their wages and welfare, and the scale of the school. The conclusions made here are: the human resources in education is still scanty. From the factors influenced mobility probability, it can provide some clues to make the human resources in education more equal.