Bachelorarbeit, 2017
52 Seiten, Note: 1,0
This thesis aims to investigate the driving forces behind income inequality at the firm-level, focusing on the development of market earnings inequality between firms in Germany and the U.S. It examines the contributions of two recent studies by Card et al. (2013b) and Song et al. (2016) to understand the factors that influence income inequality within establishments and corporate units. The thesis seeks to answer the question: What influences the development of market earnings inequality between firms, understood as establishments and as distinct corporate units?
Chapter 2 provides a detailed overview of the research methodologies and datasets employed in the two selected studies by Card et al. (2013b) and Song et al. (2016), offering a comprehensive understanding of the concepts and limitations of their findings. This chapter highlights the key variables and data sources utilized, shedding light on the potential influences on the studies’ main results.
Chapter 3 delves into the analysis of earnings inequality in Germany and the U.S., employing descriptive statistics to illustrate the development of inequality across different time periods. This chapter examines the empirical models utilized in the two studies, including the estimation of earnings functions and the decomposition of variance. It explores the impact of various components identified by the studies, shedding light on their contributions to overall earnings inequality.
This thesis centers on the key concepts of income inequality, firm-level analysis, earnings inequality, establishment, corporate unit, and decomposition of variance. It explores the influence of factors such as human capital, technology, institutions, and demographics on income inequality at the firm-level. The research draws upon studies focusing on the development of earnings inequality in Germany and the U.S., utilizing data from administrative sources and representative surveys.
Inequality is driven by differences in market earnings between establishments and distinct corporate units, influenced by factors like human capital and technology.
The thesis compares findings from Card et al. (Germany) and Song et al. (U.S.), analyzing how establishment-based versus corporate-unit-based structures affect earnings distribution.
It is a statistical method used to break down overall inequality into specific components, such as differences within firms versus differences between firms.
Human capital (education and skills) is a major factor in the OLS estimation of earnings functions, explaining why some employees or firms earn significantly more than others.
The thesis identifies five potential factors, including technological shifts, institutional changes, and demographic trends that impact how firms reward their workers.
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