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Optimal pensions in aging economies

  • Burkhard Heer EMAIL logo
Veröffentlicht/Copyright: 18. August 2017

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.

JEL Classification: C68; D31; D91; H55; J11; J26

A Appendix

A.1 Properties of the Benchmark Equilibrium

In stationary equilibrium of the benchmark case, the average wealth a~s, working hours ls, and consumption c~s of the s-year-old cohort over the life cycle (or working life respectively) are graphed in Figure 5, Figure 6, and Figure 7. The solid (broken) lines of the graphs present the low (high) productivity type ϵ1 (ϵ2) and correspond to the lower (upper) curves in the figures.

Figure 5: Wealth-age profile.
Figure 5:

Wealth-age profile.

Figure 6: Labor-supply-age profile.
Figure 6:

Labor-supply-age profile.

Figure 7: Consumption over the life cycle.
Figure 7:

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 y¯s which peaks at age 50 (not illustrated). The decline in wealth is accelerated for the high-productivity households as soon as the households retire because pensions are below the former wage income.

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 y¯s because of increasing wealth (prior to age 52) which reduces the labor supply.

Labor supply l and wealth a~ also depend on the permanent and temporary productivity types {ϵ, η}. Both variables increase with higher productivity ϵ = ϵ2 and η = η2. The household with ϵ = ϵ1 who experiences a negative productivity shock, η = η1, is also liquidity-constrained, a~=0, if he has not accumulated sufficient savings in former periods. In fact, the percentage of households without savings amounts to 34.5% in our benchmark calibration.

The heterogeneity with regard to individual productivity, ϵηy¯s, results in inequality of the household’s income and wealth distribution. The dsitributions of income and wealth are characterized by Gini coefficients of 0.362 (net income after taxes), 0.390 (gross income before taxes), and 0.664 (wealth). Notice that the OLG model is able to generate much more inequality in wealth than in income as observed empirically.[30] However, all our inequality measures fall short of values observed empirically. For example, Budría Rodriguez et al. (2002) report Gini coefficients of (gross) income and wealth equal to 0.553 and 0.803. Our model values fall short of the empirical ones for mainly three reasons: 1) We do not consider self-employed workers and entrepreneurs. Quadrini (2000) presents empirical evidence that the concentration of income and wealth is higher among entrepreneurs and that the introduction of an endogenous entrepreneurial choice in a dynamic general equilibrium model helps to reconcile the inequality in the model with that of the US economy. 2) We neglect the top income percentile of the wage earners in our model. 3) We omit bequests.[31]

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.

References

Abel, A., N. Mankiw, L. Summers, and R. Zeckhauser. 1989. “Assessing Dynamic Efficiency: Theory and Evidence.” Review of Economic Studies 56: 1–20.10.3386/w2097Suche in Google Scholar

Aiyagari, R. S. 1994. “Uninsured Idiosyncratic Risk and Aggregate Saving.” Quarterly Journal of Economics 109: 659–684.10.2307/2118417Suche in Google Scholar

Altonij, J. G. 1986. “Intertemporal Substitution in Labor Supply: Evidence from Micro Data.” Journal of Political Economy 94: S176–S215.10.1086/261403Suche in Google Scholar

Altonij, J. G., F. Hayashi, and L. Kotlikoff. 1997. “Parental Altruism and Intervivos Transfers: Theory and Evidence.” Journal of Political Economy 105: 1121–1166.10.1086/516388Suche in Google Scholar

Bansal, R., and A. Yaron. 2004. “Risks for the Long Run: A Potential Resolution of Asset Prices Puzzles.” Journal of Finance 59 (4): 1481–1509.10.3386/w8059Suche in Google Scholar

Budría Rodriguez, S., J. Díaz-Giménez, V. Quadrini, and J.-V. Ríos-Rull. 2002. “Updated Facts on the U.S. Distributions of Earnings, Income, and Wealth.” Federal Reserve Bank of Minneapolis Quarterly Review 26: 2–35.Suche in Google Scholar

Caldara, D., J. Fernández-Villaverde, and J. F. Rubio-Ramiírez. 2012. “Computing DSGE Models with Recursive Preferences.” Review of Economic Dynamics 15: 188–206.10.3386/w15026Suche in Google Scholar

Caliendo, F. N., N. L. Guo, and R. Hosseini. 2014. “Social Security is NOT a Substitute for Annuity Markets.” Review of Economic Dynamics 17: 739–755.10.1016/j.red.2014.01.005Suche in Google Scholar

Conesa, J. C., and D. Krueger. 1999. “Social Security Reform with Heterogeneous Agents.” Review of Economic Dynamics 2: 757–795.10.1006/redy.1998.0039Suche in Google Scholar

De Nardi, M., S. Imrohoroğlu, and T. J. Sargent. 1999. “Projected US Demographics and Social Security.” Review of Economic Dynamics 2: 575–615.10.1006/redy.1999.0067Suche in Google Scholar

De Nardi, M., and F. Yang. 2016. “Wealth Inequality, Family Background, and Estate Taxation.” Journal of Monetary Economics 77: 130–145.10.3386/w21047Suche in Google Scholar

Domeij, D., and M. Floden. 2006. “The Labor Supply Elasticity and Borrowing Constraints: Why Estimates are Biased.” Review of Economic Dynamics 9: 242–262.10.1016/j.red.2005.11.001Suche in Google Scholar

Epstein, L. G., and S. E. Zin. 1989. “Substitution, Risk Aversion and the Temporal Behavior of Consumption and Asset Returns: A Theoretical Framework.” Econometrica 57: 937–969.10.1142/9789814417358_0012Suche in Google Scholar

Epstein, L. G., and S. E. Zin. 1991. “Substitution, Risk Aversion and the Intertemporal Behavior of Consumption and Asset Returns: An Empirical Analysis.” Journal of Political Economy 99 (2): 263–268.10.1086/261750Suche in Google Scholar

Fehr, H., M. Kallweit, and F. Kindermann. 2013. “Should Pensions be Progressive?” European Economic Review 63: 94–116.10.1016/j.euroecorev.2013.07.004Suche in Google Scholar

Fernández-Villaverde, J., and D. Krueger. 2007. “Consumption over the Life Cycle: Facts from Consumer Expenditure Survey Data.” Review of Economics and Statistics 89 (3): 552–565.10.3386/w9382Suche in Google Scholar

Fuster, L., A. İmrohoroğlu, and S. İmrohoroğlu. 2003. “A Welfare Analysis of Social Security in a Dynastic Framework.” International Economic Review 44: 1247–1274.10.1111/1468-2354.t01-1-00108Suche in Google Scholar

Grant, C., C. Koulovatianos, A. Michaelides, and M. Padula. 2006. “Evidence on the Insurance Effect of Redistributive Taxation.”.Working Paper.Suche in Google Scholar

Grant, C., C. Koulovatianos, A. Michaelides, and M. Padula. 2010. “Evidence on the Insurance Effect of Redistributive Taxation.” Review of Economics and Statistics 92 (4): 965–973.10.1162/REST_a_00040Suche in Google Scholar

Guvenen, F. 2009. “An Empirical Investigation of Labor Income Processes.” Review of Economic Dynamics 12: 58–79.10.1016/j.red.2008.06.004Suche in Google Scholar

Guvenen, F., F. Karahan, S. Ozkan, and J. Sang. 2015. “What Do Data on Millions of U.S. Workers Reveal About Life-Cycle Earnings Risk?.”.NBER Working Paper Series (20913).10.21034/wp.719Suche in Google Scholar

Hansen, G. 1993. “The Cyclical and Secular Behavior of the Labor Input: Comparing Efficiency Units and Hours Worked.” Journal of Applied Econometrics 8: 71–80.10.1002/jae.3950080106Suche in Google Scholar

Heathcote, J., F. Perri, and G. L. Violante. 2010. “Unequal We Stand: An Empirical Analysis of Economic Inequality in the United States, 1967–2006.” Review of Economic Dynamics 13: 15–51.10.3386/w15483Suche in Google Scholar

Heer, B. 2001. “Wealth Distribution and Optimal Inheritance Taxation in Life-Cycle Economies.” Scandinavian Journal of Economic 103: 445–465.10.1111/1467-9442.00254Suche in Google Scholar

Heer, B., and A. Irmen. 2014. “Population, Pensions and Endogenous Economic Growth.” Journal of Economic Dynamics and Control 46: 50–72.10.1016/j.jedc.2014.06.012Suche in Google Scholar

Heer, B., and A. Maußner. 2009. Dynamic General Equilibrium Modeling: Computational Methods and Applications., 2nd ed. Heidelberg: Springer.10.1007/978-3-540-85685-6Suche in Google Scholar

Hubbard, R. G., and K. L. Judd. 1987. “Social Security and Individual Welfare: Precautionary Saving, Borrowing Constraints, and the Payroll Tax.” American Economic Review 77: 630–646.Suche in Google Scholar

Huggett, M. 1996. “Wealth Distribution in Life-Cycle Economies.” Journal of Monetary Economics 38: 373–396.10.1016/S0304-3932(96)01291-3Suche in Google Scholar

Huggett, M., and G. Ventura. 1999. “On the Distribution Effects of Social Security Reform.” Review of Economic Dynamics 2: 498–531.10.1006/redy.1999.0051Suche in Google Scholar

Hurd, M. D. 1989. “Mortality Risk and Bequests.” Econometrica 57: 799–813.10.2307/1913772Suche in Google Scholar

İmrohoroğlu, A., S. İmrohoroğlu, and D. H. Joines. 1995. “A Life Cycle Analysis of Social Security.” Economic Theory 6: 83–114.10.1007/BF01213942Suche in Google Scholar

İmrohoroğlu, A., S. İmrohoroğlu, and D. H. Joines. 1999. “Social Security in an Overlapping Generations Economy with Land.” Review of Economic Dynamics 2: 638–665.10.1006/redy.1999.0066Suche in Google Scholar

İmrohoroğlu, S., and S. Kitao. 2009. “Labor Supply Elasticity and Social Security Reform.” Journal of Public Economics 93: 867–878.10.1016/j.jpubeco.2009.05.002Suche in Google Scholar

Kaplan, G. 2012. “Inequality and the Life Cycle.” Quantitative Economics 3: 471–525.10.3982/QE200Suche in Google Scholar

Killingsworth, M. R. 1983. Labor Supply. Cambridge, MA: Cambridge University Press.10.1017/CBO9780511572104Suche in Google Scholar

Kitao, S. 2014. “Sustainable Social Security: Four Options.” Review of Economic Dynamics 17: 756–779.10.1016/j.red.2013.11.004Suche in Google Scholar

Krueger, D., and A. Ludwig. 2007. “On the Consequences of Demographic Change for Rates of Returns to Capital, and the Distribution of Wealth and Welfare.” Journal of Monetary Economics 54: 49–87.10.3386/w12453Suche in Google Scholar

Krueger, D., and F. Perri. 2006. “Does Income Inequality Lead to Consumption Inequality? Evidence and Theory.” Review of Economic Studies 73: 163–193.10.3386/w9202Suche in Google Scholar

MaCurdy, T. E. 1981. “An Empirical Model of Labor Supply in a Life-Cycle Setting.” Journal of Political Economy 89: 1059–1085.10.3386/w0421Suche in Google Scholar

Mendoza, E. G., A. Razin, and L. L. Tesar. 1994. “Effective Tax Rates in Macroeconomics Cross Country Estimates of Tax Rates on Factor Incomes and Consumption.” Journal of Monetary Economics 34: 297–323.10.3386/w4864Suche in Google Scholar

Nishiyama, S., and K. Smetters. 2007. “Does Social Security Privitization Produce Efficiency Gains?” Quarterly Journal of Economics 122: 1677–1719.10.1162/qjec.2007.122.4.1677Suche in Google Scholar

Peracchi, F., and V. Perroti. 2010. “Subjective Survival Probabilities and Life Tables: Evidence from Europe.”.EIEF Working Papers Series, 1016.Suche in Google Scholar

Peterman, W. B., and K. Sommer. 2016. “How Well Did Social Security Mitigate the Effects of the Great Recession?.”.Working Paper.Suche in Google Scholar

Quadrini, V. 2000. “Entrepreneurship, Saving, and Social Mobility.” Review of Economic Dynamics 3: 1–40.10.1006/redy.1999.0077Suche in Google Scholar

Storesletten, K., C. I. Telmer, and A. Yaron. 1999. “The Risk-Sharing Implications of Alternative Social Security Arrangements.” Carnegie-Rochester Series on Public Policy 50: 213–259.10.1016/S0167-2231(99)00028-7Suche in Google Scholar

Storesletten, K., C. I. Telmer, and A. Yaron. 2004. “Consumption and Risk Sharing over the Business Cycle.” Journal of Monetary Economics 51: 609–633.10.1016/j.jmoneco.2003.06.005Suche in Google Scholar

Trabandt, M., and H. Uhlig. 2011. “The Laffer Curve Revisited.” Journal of Monetary Economics 58: 305–327.10.1016/j.jmoneco.2011.07.003Suche in Google Scholar

UN. 2015. “World Population Prospects: The 2015 Revision, Methodology of the United Nations Population Estimates and Projections.”ESA/P/WP. 242.Suche in Google Scholar

Published Online: 2017-8-18

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