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Wealth by Generation and Age

Summary:
Kurt Andersen made the following arresting tweet Fraction of all US wealth owned by Boomers & Gen-Xers when the average member of each was age 35: Boomers, 1989 21% GenX, 2008 8% The average Millennial turns 35 in 2023. Right now they own 3%. There will surely be political implications. Definitions: Baby Boomer=born 1946-1964, Gen X=born 1965-1980, and Millennial=born 1981-1996. You can’t take it with you, so this will change eventually but perhaps too late. Think of this as the Prince Charles effect. Prince Charles hasn’t offed his mother and led a revolution yet but in an earlier age he probably would have and surely he has thought about it. Similarly, perhaps the demand among some Gen-Xers and Millennials for wealth redistribution can be understood as a demand to get their share of

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Kurt Andersen made the following arresting tweet

Fraction of all US wealth owned by Boomers & Gen-Xers when the average member of each was age 35:

Boomers, 1989 21%
GenX, 2008 8%
The average Millennial turns 35 in 2023. Right now they own 3%.

There will surely be political implications.

Definitions: Baby Boomer=born 1946-1964, Gen X=born 1965-1980, and Millennial=born 1981-1996.

You can’t take it with you, so this will change eventually but perhaps too late. Think of this as the Prince Charles effect. Prince Charles hasn’t offed his mother and led a revolution yet but in an earlier age he probably would have and surely he has thought about it. Similarly, perhaps the demand among some Gen-Xers and Millennials for wealth redistribution can be understood as a demand to get their share of the pot before they are old and tired.

The data, which are from the Federal Reserve are here.

The post Wealth by Generation and Age appeared first on Marginal REVOLUTION.

Alex Tabarrok
Alex Tabarrok is Bartley J. Madden Chair in Economics at the Mercatus Center at George Mason University and a professor of economics at George Mason University. He specializes in patent-system reform, the effectiveness of bounty hunters compared to the police, how judicial elections bias judges, and how local poverty rates impact trial decisions by juries. He also examines methods for increasing the supply of human organs for transplant, the regulation of pharmaceuticals by the FDA, and voting systems.

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