IDEAS home Printed from https://ideas.repec.org/a/cup/macdyn/v24y2020i7p1785-1814_7.html
   My bibliography  Save this article

Pension Fund Restoration Policy In General Equilibrium

Author

Listed:
  • Kastelein, Pim B.
  • Romp, Ward E.

Abstract

When the financial positions of pension funds worsen, regulations prescribe that pension funds reduce the gap between their assets (invested contributions) and their liabilities (accumulated pension promises). This paper quantifies the business cycle effects and distributional implications of various types of restoration policies. We extend a canonical New-Keynesian model with a tractable demographic structure and, as a novelty, a flexible pension fund framework. Fund participants accumulate inflation-indexed or non-indexed benefits and funding adequacy is restored by revaluing previously accumulated pension wealth (Defined Contribution (DC)) or changing the pension fund contribution rate on labor income (Defined Benefit (DB)). Economies with DC pension funds respond similarly to adverse capital quality shocks as economies without pension funds. DB pension funds, however, distort labor supply decisions and exacerbate economic fluctuations. While DB pension funds achieve intergenerational risk-sharing, welfare analyses indicate that the negative effects of the induced distortions are sizeable.

Suggested Citation

  • Kastelein, Pim B. & Romp, Ward E., 2020. "Pension Fund Restoration Policy In General Equilibrium," Macroeconomic Dynamics, Cambridge University Press, vol. 24(7), pages 1785-1814, October.
  • Handle: RePEc:cup:macdyn:v:24:y:2020:i:7:p:1785-1814_7
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1365100518001049/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Krueger, Dirk & Ludwig, Alexander, 2007. "On the consequences of demographic change for rates of returns to capital, and the distribution of wealth and welfare," Journal of Monetary Economics, Elsevier, vol. 54(1), pages 49-87, January.
    2. Axel Börsch‐Supan & Alexander Ludwig & Joachim Winter, 2006. "Ageing, Pension Reform and Capital Flows: A Multi‐Country Simulation Model," Economica, London School of Economics and Political Science, vol. 73(292), pages 625-658, November.
    3. Roel M. W. J. Beetsma & Ward E. Romp & Siert J. Vos, 2013. "Intergenerational Risk Sharing, Pensions, and Endogenous Labour Supply in General Equilibrium," Scandinavian Journal of Economics, Wiley Blackwell, vol. 115(1), pages 141-154, January.
    4. Carvalho, Carlos & Ferrero, Andrea & Nechio, Fernanda, 2016. "Demographics and real interest rates: Inspecting the mechanism," European Economic Review, Elsevier, vol. 88(C), pages 208-226.
    5. Fujiwara, Ippei & Teranishi, Yuki, 2008. "A dynamic new Keynesian life-cycle model: Societal aging, demographics, and monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 32(8), pages 2398-2427, August.
    6. Damiaan H. J. Chen & Sweder J. G. Wijnbergen, 2020. "Redistributive Consequences of Abolishing Uniform Contribution Policies in Pension Funds," De Economist, Springer, vol. 168(3), pages 305-341, September.
    7. Gollier, Christian, 2008. "Intergenerational risk-sharing and risk-taking of a pension fund," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1463-1485, June.
    8. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    9. Robert Novy‐Marx & Joshua Rauh, 2011. "Public Pension Promises: How Big Are They and What Are They Worth?," Journal of Finance, American Finance Association, vol. 66(4), pages 1211-1249, August.
    10. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    11. Jan Bonenkamp & Ed Westerhout, 2014. "Intergenerational Risk Sharing and Endogenous Labour Supply within Funded Pension Schemes," Economica, London School of Economics and Political Science, vol. 81(323), pages 566-592, July.
    12. Glenn W. Harrison & Morten I. Lau & Melonie B. Williams, 2002. "Estimating Individual Discount Rates in Denmark: A Field Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1606-1617, December.
    13. Christian Jaag & Christian Keuschnigg & Mirela Keuschnigg, 2010. "Pension reform, retirement, and life-cycle unemployment," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 17(5), pages 556-585, October.
    14. Kara, Engin & von Thadden, Leopold, 2016. "Interest Rate Effects Of Demographic Changes In A New Keynesian Life-Cycle Framework," Macroeconomic Dynamics, Cambridge University Press, vol. 20(1), pages 120-164, January.
    15. De Haan, Leo, 2018. "Recovery measures of underfunded pension funds: higher contributions, no indexation or pension cuts?," Journal of Pension Economics and Finance, Cambridge University Press, vol. 17(4), pages 437-468, October.
    16. Dominik Grafenhofer & Christian Jaag & Christian Keuschnigg & Mirela Keuschnigg, 2005. "Probabilistic Aging," University of St. Gallen Department of Economics working paper series 2005 2005-08, Department of Economics, University of St. Gallen.
    17. Gertler, Mark, 1999. "Government debt and social security in a life-cycle economy," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 50(1), pages 61-110, June.
    18. Piggott, John & Woodland, Alan (ed.), 2016. "Handbook of the Economics of Population Aging," Handbook of the Economics of Population Aging, Elsevier, edition 1, volume 1, number 1.
    19. Roel M. W. J. Beetsma & A. Lans Bovenberg, 2009. "Pensions and Intergenerational Risk‐sharing in General Equilibrium," Economica, London School of Economics and Political Science, vol. 76(302), pages 364-386, April.
    20. Draper, Nick & Westerhout, Ed & Nibbelink, André, 2017. "Defined benefit pension schemes: a welfare analysis of risk sharing and labour market distortions," Journal of Pension Economics and Finance, Cambridge University Press, vol. 16(4), pages 467-484, October.
    21. Blanchard, Olivier J, 1985. "Debt, Deficits, and Finite Horizons," Journal of Political Economy, University of Chicago Press, vol. 93(2), pages 223-247, April.
    22. Mitsuru Katagiri, 2012. "Economic Consequences of Population Aging in Japan: Effects through Changes in Demand Structure," IMES Discussion Paper Series 12-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
    23. Beetsma, R. & Romp, W., 2016. "Intergenerational Risk Sharing," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 311-380, Elsevier.
    24. Gertler, Mark & Karadi, Peter, 2011. "A model of unconventional monetary policy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 17-34, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Milos Kopa & Kristina Sutiene & Audrius Kabasinskas & Ausrine Lakstutiene & Aidas Malakauskas, 2022. "Dominance Tracking Index for Measuring Pension Fund Performance with Respect to the Benchmark," Sustainability, MDPI, vol. 14(15), pages 1-28, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ruppert, Kilian & Stähler, Nikolai, 2020. "Household savings, capital investments and public policies: What drives the German current account?," Discussion Papers 41/2020, Deutsche Bundesbank.
    2. Schön, Matthias & Stähler, Nikolai, 2020. "When old meets young? Germany's population ageing and the current account," Economic Modelling, Elsevier, vol. 89(C), pages 315-336.
    3. Ruppert, Kilian & Stähler, Nikolai, 2022. "What drives the German current account? Household savings, capital investments and public policies," Economic Modelling, Elsevier, vol. 108(C).
    4. Jacopo Bonchi & Giacomo Caracciolo, 2021. "Declining natural interest rate in the US: the pension system matters," Temi di discussione (Economic working papers) 1317, Bank of Italy, Economic Research and International Relations Area.
    5. Lis, Eliza & Nickel, Christiane & Papetti, Andrea, 2020. "Demographics and inflation in the euro area: a two-sector new Keynesian perspective," Working Paper Series 2382, European Central Bank.
    6. Dániel Baksa & Zsuzsa Munkácsi, 2019. "More Gray, More Volatile? Aging and (Optimal) Monetary Policy," Bank of Lithuania Working Paper Series 67, Bank of Lithuania.
    7. Brand, Claus & Bielecki, Marcin & Penalver, Adrian, 2018. "The natural rate of interest: estimates, drivers, and challenges to monetary policy JEL Classification: E52, E43," Occasional Paper Series 217, European Central Bank.
    8. Kim, Myunghyun & Song, Sang-yoon, 2022. "The effects of monetary policy on consumption: Workers vs. retirees," Journal of Macroeconomics, Elsevier, vol. 74(C).
    9. Thomas Davoine, 2018. "Population Aging and Cross-Country Redistribution in Integrated Capital Markets," EconPol Working Paper 9, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    10. Castro, Gabriela & Maria, José R. & Félix, Ricardo Mourinho & Braz, Cláudia Rodrigues, 2017. "Aging And Fiscal Sustainability In A Small Euro Area Economy," Macroeconomic Dynamics, Cambridge University Press, vol. 21(7), pages 1673-1705, October.
    11. Röhe, Oke & Stähler, Nikolai, 2020. "Demographics and the Decline in Firm Entry: Lessons from a Life-Cycle Model," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224603, Verein für Socialpolitik / German Economic Association.
    12. Dominik Grafenhofer & Christian Jaag & Christian Keuschnigg & Mirela Keuschnigg, 2007. "Economic ageing and demographic change," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 5(1), pages 133-165.
    13. Ho, Paul, 2024. "Estimating the effects of demographics on interest rates: A robust Bayesian perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 158(C).
    14. Daniel Baksa & Zsuzsa Munkacsi, 2016. "Aging, (Pension) Reforms and the Shadow Economy in Southern Europe," Bank of Lithuania Working Paper Series 32, Bank of Lithuania.
    15. Jan Acedański & Julia Włodarczyk, 2018. "Demographics, retirement age, and real interest rates in Poland," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 10(4), pages 355-385, December.
    16. repec:zbw:bofrdp:2016_016 is not listed on IDEAS
    17. Berger, Johannes & Strohner, Ludwig, 2020. "Documentation of the PUblic Policy Model for Austria and other European countries (PUMA)," Research Papers 11, EcoAustria – Institute for Economic Research.
    18. Andrei Polbin & Sergey Drobyshevsky, 2014. "Developing a Dynamic Stochastic Model of General Equilibrium for the Russian Economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 166P, pages 156-156.
    19. Etienne Gagnon & Benjamin K. Johannsen & David López-Salido, 2021. "Understanding the New Normal: The Role of Demographics," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 69(2), pages 357-390, June.
    20. Michele Catalano & Emilia Pezzolla, 2022. "Global natural projections," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(4), pages 949-990, November.
    21. Davoine, Thomas & Molnar, Matthias, 2017. "Cross-country fiscal policy spillovers and capital-skill complementarity in currency unions," Economics Series 329, Institute for Advanced Studies.

    More about this item

    JEL classification:

    • J32 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Nonwage Labor Costs and Benefits; Retirement Plans; Private Pensions
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cup:macdyn:v:24:y:2020:i:7:p:1785-1814_7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/mdy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.