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What shapes the U.S. wealth distribution?
Longevity vs income inequality
Krzysztof Makarski Joanna Tyrowicz Piotr ›och
FAMEjGRAPE FAMEjGRAPE, IZA FAMEjGRAPE
Warsaw School of Economics University of Regensburg University of Warsaw
Why? Demography matters!
Collosal rise in life expectancy (longevity)
ˆ " lifetime wealth [permanent]
ˆ " % of individuals at peak wealth [transitory]
Wealth ineq. to " even w/o " in income ineq.
This paper
In an OLG model quantify:
ˆ the role of rise in LE for wealth inequality;
ˆ pitch demography against income inequality.
+ Policy experiments.
Model t
Model with multiple mechanisms of redistribution
Government collects taxes and issues debt to nance government purchases, operates PAYG DB social security.
Redistribution via:
 progressive labor income tax (as in Benabou, 2002)
 progressive social security (AIME).
 taxes on consumption and capital income are at
 govn't purchases do not enter utility
Model with multiple sources of uncertainty
Individuals with our without college degree, risk averse, choose consumption and leisure, retire at age 65 and
receive pension.
They pay Social Security contributions, labor income, capital income, and consumption taxes.
Uncertainty at all stages of life:
ˆ lifetimes with stochastic survival.
ˆ earnings due to idiosyncratic productivty shocks.
ˆ capital incomes due to idiosyncratic discount rates.
Production: standard Cobb-Douglas function with capital and labor.
Scenarios (calibrated to the US)
Calibration to match USA economy in 2010.
Initial steady state in 1935. Transition with perfect
foresight.
Variance of productivity shocks rises for subsequent
birth cohorts.
Full model features changes in
ˆ Longevity: historical mortality data + UN projec-
tion until 2100.
ˆ Fertility: historical births data + US Census pro-
jection until 2060.
ˆ Technology: TFP growth and labor share.
ˆ Education: share of college graduates and college
premium.
ˆ Fiscal policy: tax rates, progressivity of labor in-
come tax, gov't. purchases, debt/GDP.
S1: No growth in life expectancy
ˆ Individuals perceive mortality rate as in 1960.
ˆ Demographic structure as in the data.
S2: No change in income inequality
ˆ Keep std of shocks xed at its 1960.
ˆ Keep college premium, college share, labor share
and TFP growth as in 1960.
S3: No change in taxes
ˆ Keep capital and labor tax rates and progressivity
as in 1960.
Longevity and wealth inequality Conclusions: change needed?
Rise in longevity is a big part of the rise in wealth
inequality.
Changes in the labor market decreased wealth inequality.
Changes in tax system reduced wealth inequality.
These forces will continue to operate.
Work in progress: which policy can address
demography-driven wealth inequality?
Acknowledgements
This project was gracefully supported by National
Science Centre (grant #2016/22/E/HS4/00129). The
authors received valuable insights from too many people
to mention here (a full list will appear in the paper). All
the errors are with the authors.

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poster_pzoch.pdf

  • 1. What shapes the U.S. wealth distribution? Longevity vs income inequality Krzysztof Makarski Joanna Tyrowicz Piotr ›och FAMEjGRAPE FAMEjGRAPE, IZA FAMEjGRAPE Warsaw School of Economics University of Regensburg University of Warsaw Why? Demography matters! Collosal rise in life expectancy (longevity) ˆ " lifetime wealth [permanent] ˆ " % of individuals at peak wealth [transitory] Wealth ineq. to " even w/o " in income ineq. This paper In an OLG model quantify: ˆ the role of rise in LE for wealth inequality; ˆ pitch demography against income inequality. + Policy experiments. Model t Model with multiple mechanisms of redistribution Government collects taxes and issues debt to nance government purchases, operates PAYG DB social security. Redistribution via: progressive labor income tax (as in Benabou, 2002) progressive social security (AIME). taxes on consumption and capital income are at govn't purchases do not enter utility Model with multiple sources of uncertainty Individuals with our without college degree, risk averse, choose consumption and leisure, retire at age 65 and receive pension. They pay Social Security contributions, labor income, capital income, and consumption taxes. Uncertainty at all stages of life: ˆ lifetimes with stochastic survival. ˆ earnings due to idiosyncratic productivty shocks. ˆ capital incomes due to idiosyncratic discount rates. Production: standard Cobb-Douglas function with capital and labor. Scenarios (calibrated to the US) Calibration to match USA economy in 2010. Initial steady state in 1935. Transition with perfect foresight. Variance of productivity shocks rises for subsequent birth cohorts. Full model features changes in ˆ Longevity: historical mortality data + UN projec- tion until 2100. ˆ Fertility: historical births data + US Census pro- jection until 2060. ˆ Technology: TFP growth and labor share. ˆ Education: share of college graduates and college premium. ˆ Fiscal policy: tax rates, progressivity of labor in- come tax, gov't. purchases, debt/GDP. S1: No growth in life expectancy ˆ Individuals perceive mortality rate as in 1960. ˆ Demographic structure as in the data. S2: No change in income inequality ˆ Keep std of shocks xed at its 1960. ˆ Keep college premium, college share, labor share and TFP growth as in 1960. S3: No change in taxes ˆ Keep capital and labor tax rates and progressivity as in 1960. Longevity and wealth inequality Conclusions: change needed? Rise in longevity is a big part of the rise in wealth inequality. Changes in the labor market decreased wealth inequality. Changes in tax system reduced wealth inequality. These forces will continue to operate. Work in progress: which policy can address demography-driven wealth inequality? Acknowledgements This project was gracefully supported by National Science Centre (grant #2016/22/E/HS4/00129). The authors received valuable insights from too many people to mention here (a full list will appear in the paper). All the errors are with the authors.