Inequality and income dynamics in Germany

• 成果类型: Article
• 署名作者: Drechsel-Grau, Moritz; Peichl, Andreas; Schmid, Kai D. D.; Schmieder, Johannes F. F.; Walz, Hannes; Wolter, Stefanie
• 署名单位: University of Munich; Leibniz Association; Ifo Institut; University of Munich; Boston University; National Bureau of Economic Research; University of Erlangen Nuremberg
• 刊物名称: QUANTITATIVE ECONOMICS
• ISSN/ISSBN: 1759-7323
• DOI: 10.3982/QE1912
• 发表日期: 2022
• 页码: 1593-1635
• 关键词: inequality; income dynamics; mobility; nonlabor income; earnings; D31; J2; J31

摘要

We provide a comprehensive analysis of income inequality and income dynamics for Germany over the last two decades. Combining personal income tax and social security data allows us-for the first time-to offer a complete picture of the distribution of annual earnings in Germany. We find that cross-sectional inequality rose until 2009 for men and women. After the Great Recession, inequality continued to rise at a slower rate for men and fell slightly for women due to compression at the lower tail. We further document substantial gender differences in average earnings and inequality over the life cycle. While for men earnings rise and inequality falls as they grow older, many women reduce working hours when starting a family such that average earnings fall and inequality increases. Men's earnings changes are on average smaller than women's but are substantially more affected by the business cycle. During the Great Recession, men's earnings losses become magnified and gains are attenuated. Apart from recession years, earnings changes are significantly right-skewed reflecting the good overall state of the German labor market and increasing labor supply. In the second part of the paper, we study the distribution of total income including incomes of self-employed, business owners, and landlords. We find that total inequality increased significantly more than earnings inequality. Regarding income dynamics, entrepreneurs' income changes are more dispersed, less skewed, less leptokurtic, and less dependent on average past income than workers' income changes. Finally, we find that top income earners have become less likely to fall out of the top 1 and 0.1%.