Earnings growth and the wealth distribution

被引:8
作者
Sargent, Thomas J. [1 ,2 ]
Wang, Neng [3 ,4 ]
Yang, Jinqiang [5 ,6 ]
机构
[1] NYU, Dept Econ, New York, NY 10003 USA
[2] Stanford Univ, Hoover Inst, Stanford, CA 94305 USA
[3] Columbia Univ, Grad Sch Business, New York, NY 10027 USA
[4] Natl Bur Econ Res, Cambridge, MA 02138 USA
[5] Shanghai Univ Finance & Econ, Sch Finance, Shanghai 200433, Peoples R China
[6] Shanghai Inst Int Finance & Econ, Shanghai 200433, Peoples R China
关键词
inequality; power law; heavy tail; PERMANENT-INCOME HYPOTHESIS; MODEL; INSURANCE; RISK; LAW;
D O I
10.1073/pnas.2025368118
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
As measured by Gini coefficients, fractile inequalities, and tail power laws, wealth is distributed less equally across people than are labor earnings. We study how luck, attitudes that shape saving decisions, and growth rates of labor earnings balance each other in ways that simultaneously shape joint distributions across people of labor earnings, age, and wealth together with an equilibrium rate of return on savings that plays a pivotal role in balancing contending forces. Strong motives for people to save and for firms to demand capital raise an equilibrium interest rate enough to make wealth grow faster than labor earnings. That makes cross-sectional wealth more unevenly distributed and have a fatter tail than labor earnings, as in US data.
引用
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页数:9
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