Abstract
We derive the optimal replacement ratio of the pay-as-you-go public pension system for the US economy in a life-cycle model that 1) replicates the empirical wage heterogeneity and 2) endogenizes the individual’s labor supply decision. The optimal net pension replacement ratio is found to be in the range of 0%–43% depending on demographic parameters and, in particular, the Frisch labor supply elasticity. Reducing the pensions from the present to the optimal pension policies implies considerable welfare gains amounting to approximately 0.1%–4.1% of total consumption. The welfare increase is particularly pronounced for the greyer US population that is projected for the time after the demographic transition.
A Appendix
A.1 Properties of the Benchmark Equilibrium
In stationary equilibrium of the benchmark case, the average wealth

Wealth-age profile.

Labor-supply-age profile.

Consumption over the life cycle.
Households with high (low) productivity accumulate savings until the age of 59 (52) before they start to dissave. In their effort to smooth consumption over their lifetime, households start to consume part of their savings as their income drops. The drop in income from wages is caused by the decrease of age-dependent efficiency
The profile of working hours in Figure 6 also mirrors the age-productivity profile because the substitution effect of higher wages dominates the income effect. However, the peak of working hours (at age 30) takes place prior to the peak in age-dependent efficiency
Labor supply l and wealth
The heterogeneity with regard to individual productivity,
Figure 7 displays the average consumption of the two productivity types over the life cycle. The profile is hump-shaped in both cases and declines after retirement. The profile accords with empirical observations in its qualitative features. For the US economy, Fernández-Villaverde and Krueger (2007) find that the empirical consumption-age profile display a significant hump over the life cycle even after correcting for the change of the family size. For the high-education households (that are roughly corresponding to the high-productivity households in our model), the peak occurs at age 55, while the low-education households attain their consumption maximum at an earlier age close to 50 and the hump is much smaller. Therefore, in our model, the hump occurs too late in the life cycle and the increase in consumption from age 20 to age 50 is too high for the low-productivity households. Since consumption and leisure are substitutes and leisure increases to 100% during retirement, consumption is only reduced at the beginning of retirement.[32] In addition, the consumption of the very old low-education households in the US economy drops to 70–80% of the consumption of the corresponding 20-year old, while this is not the case in the model.[33]
With regard to the cross-sectional distribution of consumption, our model is able to replicate the fact that consumption inequality is muss less than income inequality. Using US data from the Consumer Expenditure Survey, Krueger and Perri (2006) present evidence that the Gini coefficient of consumption amounts to 0.26 in 2003, while it is equal to 0.28 in the model.
A.2 Computation
The main computational problem is the numerical solution of the intertemporal household decision problem. We use value function iteration as described in Chapter 9.3 of Heer and Maußner (2009) .[34] We apply Golden Section Search in each step to find the optimal next-period assets a′ for each type {ι, η, ϵ, s} of the household. Our reason for this approach is that the Golden Section Search is a very robust method that can easily handle non-negativity constraints such as l ≥ 0 or a ≥ 0. Between gridpoints, we interpolate linearly.
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Artikel in diesem Heft
- Advances
- Luxury consumption, precautionary savings and wealth inequality
- Unemployment insurance with limited commitment wage contracts and savings
- The marriage unemployment gap
- Fertility and labor supply of the old with pay-as-you-go pension and child allowances
- Optimal pensions in aging economies
- Estimating the New Keynesian Phillips Curve for the UK: evidence from the inflation-indexed bonds market
- An empirical note on the long-run relationship between education and religiosity in Christian countries
- Accounting for changing returns to experience
- Development accounting with intermediate goods
- The post-crisis slump in Europe: a business cycle accounting analysis
- Rational bubbles in a monetary economy
- Capital controls as a credit policy tool in a small open economy
- Labor income share and imperfectly competitive product market
- Macroeconomic costs of gender gaps in a model with entrepreneurship and household production
- Contributions
- Comparing the effects of discretionary tax changes between the US and the UK
- Erratum
- Erratum to: Life-cycle consumption, precautionary saving, and risk sharing: an integrated analysis using household panel data
Artikel in diesem Heft
- Advances
- Luxury consumption, precautionary savings and wealth inequality
- Unemployment insurance with limited commitment wage contracts and savings
- The marriage unemployment gap
- Fertility and labor supply of the old with pay-as-you-go pension and child allowances
- Optimal pensions in aging economies
- Estimating the New Keynesian Phillips Curve for the UK: evidence from the inflation-indexed bonds market
- An empirical note on the long-run relationship between education and religiosity in Christian countries
- Accounting for changing returns to experience
- Development accounting with intermediate goods
- The post-crisis slump in Europe: a business cycle accounting analysis
- Rational bubbles in a monetary economy
- Capital controls as a credit policy tool in a small open economy
- Labor income share and imperfectly competitive product market
- Macroeconomic costs of gender gaps in a model with entrepreneurship and household production
- Contributions
- Comparing the effects of discretionary tax changes between the US and the UK
- Erratum
- Erratum to: Life-cycle consumption, precautionary saving, and risk sharing: an integrated analysis using household panel data