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Abstract Using data from the 2017 Major League Soccer Season, this thesis investigates the relationship between salaries, individual player performance, nationality and previous career trajectory for player in the MLS. Through analysis of 6 model specifications, it is found that previous career trajectory, performance and nationality are all significant factors in salary determination. Further, it is concluded that the results of the model show that MLS franchises are in general allocating salaries efficiently relative to performance.

Labor economists have persistently observed a “gap” in the earnings of men and women. In this paper, I attempt to offer a partial explanation for the gender wage gap by analyzing the gender wage gap across male-dominated, female-dominated, and gender-neutral occupations. Using data from the Current Population Survey (2010-2012), I perform three Oaxaca-Blinder decompositions across the entire sample. I then perform decompositions across male-dominated, female-dominated, and gender-neutral occupations separately using the first specification. I find that occupations of different gender concentrations (male-dominated, female-dominated, and gender-neutral) have different gender gaps. In particular, male-dominated and gender neutral occupations have a much larger gender wage gap than female-dominated occupations, even after controlling for human capital and demographic variables. Combined with previous research and summary statistics, these results seem to suggest that certain workplace factors that might contribute to a higher gender wage gap, such as workplace inflexibility and gender discrimination, could be higher among male-dominated and gender-neutral occupations than they are among female-dominated occupations; however, further research into the precise characteristics of male-dominated, gender-neutral, and female-dominated occupations is necessary to confirm this analysis.

Statistical discrimination is frequently applied to illustrate different economic opportunities among equally able individuals. We use statistics from 1994, the second wave of the Survey of Labour and Income Dynamics, to analyze the income received from paid work jobs as the measure of an individuals economic opportunity. At the same time, Heckmans two-stage procedure is performed to account for possible bias that arises from estimating with only a pool of paid workers. We are interested in testing the following hypotheses: whether employers statistically discriminate among potential workers on the basis of education and immigration status if they have limited information about those workers and whether they learn to revise their judgments as new information is obtained. The results confirm the employer learning and statistical discrimination based on years of schooling hypotheses for the Canadian labour market. The labour market returns to initially unobservable characteristic increases with time spend in the labour market. In addition, wage becomes less related to education that employers initially use to infer an individuals productivity. On the other hand, immigration status is not very informative about the productivity of a worker and the results do not support the hypothesis of statistical discrimination on the basis of immigration status. This paper points out the challenges faced by traditional labour market policies in a world of statistical discrimination and employer learning.

Statistical discrimination is frequently applied to illustrate different economic opportunities among equally able individuals. We use statistics from 1994, the second wave of the Survey of Labour and Income Dynamics, to analyze the income received from paid work jobs as the measure of an individuals economic opportunity. At the same time, Heckmans two-stage procedure is performed to account for possible bias that arises from estimating with only a pool of paid workers. We are interested in testing the following hypotheses: whether employers statistically discriminate among potential workers on the basis of education and immigration status if they have limited information about those workers and whether they learn to revise their judgments as new information is obtained. The results confirm the employer learning and statistical discrimination based on years of schooling hypotheses for the Canadian labour market. The labour market returns to initially unobservable characteristic increases with time spend in the labour market. In addition, wage becomes less related to education that employers initially use to infer an individuals productivity. On the other hand, immigration status is not very informative about the productivity of a worker and the results do not support the hypothesis of statistical discrimination on the basis of immigration status. This paper points out the challenges faced by traditional labour market policies in a world of statistical discrimination and employer learning.

Based on the contract theorem, the thesis studies the wage structure of ¡uThe project of elite recruitment¡vin the industry of real estate in Taiwan.Try to build the model from the view of mechanism design explains why the industry of real estate in Taiwan have ¡uThe project of elite recruitment¡v.In the thesis, begins from the characteristics of Taiwan¡¦s real estate industry to explain the followings about the ¡uThe project of elite recruitment¡v. 1. The employers are willing to recruit and have trainings to those who have no related work experience in the industry of real estate. 2. In the training period, the employers pay the fixed compensation and do not take the incentive compensation as the optimal compensation. 3. The optimal compensation is higher than the reservation compensation in the training period.