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Earnings growth and the wealth distribution
Thomas J Sargent1,2, Neng Wang3,4, Jinqiang Yang5,6
1Department of Economics, New York University, New York, NY 10003; thomas.sargent@nyu.edu.
Summary
Wealth inequality, driven by savings motives and capital demand, exceeds labor earnings inequality. This is due to higher wealth growth rates compared to earnings, creating a fatter wealth distribution tail.
Area of Science:
- Economics
- Econometrics
- Sociology
Background:
- Wealth distribution is demonstrably less equal than labor earnings distribution, evidenced by Gini coefficients and power law analyses.
- Existing research highlights the role of individual saving behaviors and luck in wealth accumulation.
Purpose of the Study:
- To investigate the interplay of luck, saving attitudes, and labor earnings growth in shaping wealth and earnings distributions.
- To analyze the equilibrium rate of return on savings and its impact on wealth inequality dynamics.
Main Methods:
- Utilized Gini coefficients, fractile inequalities, and tail power laws to measure wealth and earnings distributions.
- Developed a model to examine the joint distributions of labor earnings, age, and wealth, incorporating saving decisions and earnings growth rates.
Main Results:
- Higher saving motives and capital demand elevate the equilibrium interest rate, causing wealth to grow faster than labor earnings.
- This faster wealth growth leads to greater cross-sectional wealth inequality and a fatter tail distribution compared to labor earnings.
- Findings align with observed wealth distribution patterns in US data.
Conclusions:
- The equilibrium interest rate is a critical factor in wealth accumulation dynamics.
- Saving behavior and capital market forces significantly contribute to wealth inequality, surpassing the inequality seen in labor earnings.
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