Inequality and income dynamics in Germany
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-se...
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Veröffentlicht in: | Quantitative economics 2022-11, Vol.13 (4), p.1593-1635 |
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description | 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%. |
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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%.</description><identifier>ISSN: 1759-7331</identifier><identifier>ISSN: 1759-7323</identifier><identifier>EISSN: 1759-7331</identifier><identifier>DOI: 10.3982/QE1912</identifier><language>eng</language><publisher>New Haven, CT: The Econometric Society</publisher><subject>Analysis ; Averages ; Business cycles ; Collective bargaining ; D31 ; Earnings ; Econometrics ; Economic conditions ; Entrepreneurs ; Gender differences ; Gender equality ; Great Recession ; Income distribution ; income dynamics ; Income inequality ; Income tax ; Income taxes ; Inequality ; J31 ; Labor market ; Labor supply ; Landlords ; mobility ; nonlabor income ; Older women ; Owners ; Part time employment ; Personal finance ; Recessions ; Self employment ; Social security ; Taxation ; Wage differential ; Wages & salaries ; Women ; Workers ; Working hours ; Working women</subject><ispartof>Quantitative economics, 2022-11, Vol.13 (4), p.1593-1635</ispartof><rights>Copyright © 2022 The Authors.</rights><rights>COPYRIGHT 2022 John Wiley & Sons, Inc.</rights><rights>2022. 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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. 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Peichl, Andreas ; Schmid, Kai D ; Schmieder, Johannes ; Walz, Hannes ; Wolter, Stefanie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4730-c469786891fb2968e209f61f5a773e112cc5ea7ccd162638760c52f1035cc6443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Analysis</topic><topic>Averages</topic><topic>Business cycles</topic><topic>Collective bargaining</topic><topic>D31</topic><topic>Earnings</topic><topic>Econometrics</topic><topic>Economic conditions</topic><topic>Entrepreneurs</topic><topic>Gender differences</topic><topic>Gender equality</topic><topic>Great Recession</topic><topic>Income distribution</topic><topic>income dynamics</topic><topic>Income inequality</topic><topic>Income tax</topic><topic>Income taxes</topic><topic>Inequality</topic><topic>J31</topic><topic>Labor market</topic><topic>Labor supply</topic><topic>Landlords</topic><topic>mobility</topic><topic>nonlabor income</topic><topic>Older women</topic><topic>Owners</topic><topic>Part time employment</topic><topic>Personal finance</topic><topic>Recessions</topic><topic>Self employment</topic><topic>Social security</topic><topic>Taxation</topic><topic>Wage differential</topic><topic>Wages & salaries</topic><topic>Women</topic><topic>Workers</topic><topic>Working hours</topic><topic>Working women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Drechsel-Grau, Moritz</creatorcontrib><creatorcontrib>Peichl, Andreas</creatorcontrib><creatorcontrib>Schmid, Kai D</creatorcontrib><creatorcontrib>Schmieder, Johannes</creatorcontrib><creatorcontrib>Walz, Hannes</creatorcontrib><creatorcontrib>Wolter, Stefanie</creatorcontrib><collection>EconStor</collection><collection>Wiley Online Library Open Access</collection><collection>ECONIS</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Complete</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Quantitative economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Drechsel-Grau, Moritz</au><au>Peichl, Andreas</au><au>Schmid, Kai D</au><au>Schmieder, Johannes</au><au>Walz, Hannes</au><au>Wolter, Stefanie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Inequality and income dynamics in Germany</atitle><jtitle>Quantitative economics</jtitle><date>2022-11</date><risdate>2022</risdate><volume>13</volume><issue>4</issue><spage>1593</spage><epage>1635</epage><pages>1593-1635</pages><issn>1759-7331</issn><issn>1759-7323</issn><eissn>1759-7331</eissn><abstract>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%.</abstract><cop>New Haven, CT</cop><pub>The Econometric Society</pub><doi>10.3982/QE1912</doi><tpages>43</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Averages Business cycles Collective bargaining D31 Earnings Econometrics Economic conditions Entrepreneurs Gender differences Gender equality Great Recession Income distribution income dynamics Income inequality Income tax Income taxes Inequality J31 Labor market Labor supply Landlords mobility nonlabor income Older women Owners Part time employment Personal finance Recessions Self employment Social security Taxation Wage differential Wages & salaries Women Workers Working hours Working women |
title | Inequality and income dynamics in Germany |
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