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Generational Risk--Is it a Big Deal?: Simulating an 80-Period OLG Model With Aggregate Shocks

Author

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  • Laurence Kotlikoff

    (Boston University)

  • Jasmina Hasanhodzic

    (Boston University)

Abstract

We calibrate and simulate 80, 40, and 20-period OLG models with aggregate shocks to assess generational risk. We overcome the curse of dimensionality by building on the Judd, Maliar, and Maliar algorithm, which limits a model's solution to its ergodic states, with no reliance on sparse grids, state-variable aggregation, or local approximations. We find that intrinsic generational risk is quite small, that government policies can produce generational risk, and that bond markets can share generational risk, including risks generated by policy. Our results hold with rare disasters, high risk aversion, persistent shocks, and stochastic depreciation.

Suggested Citation

  • Laurence Kotlikoff & Jasmina Hasanhodzic, 2014. "Generational Risk--Is it a Big Deal?: Simulating an 80-Period OLG Model With Aggregate Shocks," 2014 Meeting Papers 627, Society for Economic Dynamics.
  • Handle: RePEc:red:sed014:627
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    References listed on IDEAS

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    1. Kjetil Storesletten & Chris Telmer & Amir Yaron, 2007. "Asset Pricing with Idiosyncratic Risk and Overlapping Generations," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(4), pages 519-548, October.
    2. Dueker Michael & Fischer Andreas & Dittmar Robert, 2007. "Stochastic Capital Depreciation and the Co-movement of Hours and Productivity," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(3), pages 1-24, January.
    3. Krusell, Per & Smith, Anthony A., 1997. "Income And Wealth Heterogeneity, Portfolio Choice, And Equilibrium Asset Returns," Macroeconomic Dynamics, Cambridge University Press, vol. 1(02), pages 387-422, June.
    4. Antonio Rangel & Richard Zeckhauser, 2001. "Can Market and Voting Institutions Generate Optimal Intergenerational Risk Sharing?," NBER Chapters,in: Risk Aspects of Investment-Based Social Security Reform, pages 113-152 National Bureau of Economic Research, Inc.
    5. George M. Constantinides & John B. Donaldson & Rajnish Mehra, 2002. "Junior Can't Borrow: A New Perspective on the Equity Premium Puzzle," The Quarterly Journal of Economics, Oxford University Press, vol. 117(1), pages 269-296.
    6. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2011. "Numerically stable and accurate stochastic simulation approaches for solving dynamic economic models," Quantitative Economics, Econometric Society, vol. 2(2), pages 173-210, July.
    7. Laurence Ball & N. Gregory Mankiw, 2007. "Intergenerational Risk Sharing in the Spirit of Arrow, Debreu, and Rawls, with Applications to Social Security Design," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 523-547, August.
    8. Krueger, Dirk & Kubler, Felix, 2004. "Computing equilibrium in OLG models with stochastic production," Journal of Economic Dynamics and Control, Elsevier, vol. 28(7), pages 1411-1436, April.
    9. Bodie, Zvi & Merton, Robert C. & Samuelson, William F., 1992. "Labor supply flexibility and portfolio choice in a life cycle model," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 427-449.
    10. Steve Ambler & Alain Paquet, 1992. "Stochastic Depreciation and the Business Cycle Puzzle," Cahiers de recherche CREFE / CREFE Working Papers 8, CREFE, Université du Québec à Montréal.
    11. Rietz, Thomas A., 1988. "The equity risk premium a solution," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 117-131, July.
    12. Dirk Krueger & Felix Kubler, 2006. "Pareto-Improving Social Security Reform when Financial Markets are Incomplete!?," American Economic Review, American Economic Association, vol. 96(3), pages 737-755, June.
    13. Furlanetto, Francesco & Seneca, Martin, 2014. "New Perspectives On Depreciation Shocks As A Source Of Business Cycle Fluctuations," Macroeconomic Dynamics, Cambridge University Press, vol. 18(06), pages 1209-1233, September.
    14. Robert J. Barro, 2006. "Rare Disasters and Asset Markets in the Twentieth Century," The Quarterly Journal of Economics, Oxford University Press, vol. 121(3), pages 823-866.
    15. Malin, Benjamin A. & Krueger, Dirk & Kubler, Felix, 2011. "Solving the multi-country real business cycle model using a Smolyak-collocation method," Journal of Economic Dynamics and Control, Elsevier, vol. 35(2), pages 229-239, February.
    16. Martin L. Weitzman, 2007. "Subjective Expectations and Asset-Return Puzzles," American Economic Review, American Economic Association, vol. 97(4), pages 1102-1130, September.
    17. Per Krusell & Anthony A. Smith & Jr., 1998. "Income and Wealth Heterogeneity in the Macroeconomy," Journal of Political Economy, University of Chicago Press, vol. 106(5), pages 867-896, October.
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    Cited by:

    1. Arellano, Cristina & Maliar, Lilia & Maliar, Serguei & Tsyrennikov, Viktor, 2016. "Envelope condition method with an application to default risk models," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 436-459.
    2. Seth G. Benzell & Eugene Goryunov & Maria Kazakova & Laurence J. Kotlikoff & Guillermo LaGarda & Kristina Nesterova & Andrey Zubarev, 2015. "Simulating Russia’s and Other Large Economies’ Challenging and Interconnected Transitions," NBER Working Papers 21269, National Bureau of Economic Research, Inc.
    3. Daniel Harenberg & Alexander Ludwig, 2015. "Social security in an analytically tractable overlapping generations model with aggregate and idiosyncratic risks," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(4), pages 579-603, August.
    4. Serguei Maliar & John Taylor & Lilia Maliar, 2016. "The Impact of Alternative Transitions to Normalized Monetary Policy," 2016 Meeting Papers 794, Society for Economic Dynamics.
    5. Daniel Harenberg & Alexander Ludwig, "undated". "Social Security and the Interactions Between Aggregate and Idiosyncratic Risk," Working Papers ETH-RC-14-002, ETH Zurich, Chair of Systems Design.
    6. Lilia Maliar & Serguei Maliar & John B. Taylor & Inna Tsener, 2015. "A Tractable Framework for Analyzing a Class of Nonstationary Markov Models," Economics Working Papers 15105, Hoover Institution, Stanford University.
    7. Nick Draper & André Nibbelink & Johannes Uhde, 2015. "An Assessment of Alternatives for the Dutch First Pension Pillar System," De Economist, Springer, vol. 163(3), pages 281-302, September.
    8. Michael Reiter, 2015. "Solving OLG Models with Asset Choice," 2015 Meeting Papers 1509, Society for Economic Dynamics.
    9. Laurence Kotlikoff, 2013. "The US Fiscal Cliff – When Economists Recklessly Endanger the Economy," CESifo Forum, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 14(2), pages 03-08, August.
    10. Daniel Harenberg & Ludwig, Alexander, 2015. "Idiosyncratic Risk, Aggregate Risk, and the Welfare Effects of Social Security," MEA discussion paper series 201403, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    11. Nick Draper & André Nibbelink & Johannes Uhde, 2013. "An Assessment of Alternatives for the Dutch First Pension Pillar, The Design of Pension Schemes," CPB Discussion Paper 259, CPB Netherlands Bureau for Economic Policy Analysis.
    12. Reiter, Michael, 2015. "Solving OLG Models with Many Cohorts, Asset Choice and Large Shocks," Economics Series 320, Institute for Advanced Studies.
    13. Seth G. Benzell & Eugene Goryunov & Maria Kazakova & Guillermo Lagarda & Kristina Nesterova & Laurence J. Kotlikoff, "undated". "Simulating Russia’s and Other Large Economies’ Challenging and Interconnected Transitions," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-274, Boston University - Department of Economics.

    More about this item

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

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