Hostname: page-component-8448b6f56d-mp689 Total loading time: 0 Render date: 2024-04-25T06:18:02.069Z Has data issue: false hasContentIssue false

Consequences for welfare and pension buffers of alternative methods of discounting future pensions*

Published online by Cambridge University Press:  22 November 2010

ALESSANDRO BUCCIOL*
Affiliation:
University of Verona, University of Amsterdam and Netspar (e-mail: alessandro.bucciol@univr.it)
ROEL M. W. J. BEETSMA*
Affiliation:
University of Amsterdam, Netspar, Mn Services, Tinbergen Institute, CEPR and CESifo (e-mail: r.m.w.j.beetsma@uva.nl)
*
Department of Economics, University of Verona, Viale dell'Università 3, 37129 Verona, Italy. Telephone: +39 045 842 5448. Fax:+39 045 802 8529.
Department of Economics, University of Amsterdam, Roetersstraat 11, 1018 WB Amsterdam, The Netherlands. Telephone: +31 (0)20 525 5280. Fax:+31 (0)20 525 4254.

Abstract

We explore the implications of alternative methods of discounting future pension outlays for the valuation of funded pension liabilities. Measured liabilities affect the asset–liability ratio of pension funds and, thereby, their policies. Our framework for analysis is an applied many-generation OLG model describing a small open economy with heterogeneous agents and a two-pillar pension system (with pay-as-you-go and funded tiers) calibrated to that in the Netherlands. We compare mark-to-market discounting against various alternatives, such as discounting against a moving average of past market curves or a curve that is constant over time. The pension buffer is stabilized by adjusting indexation and contribution rates in response to demographic, economic and financial shocks in the economy. Mark-to-market valuation of liabilities produces substantially higher volatility in the pension buffers, but it also generates slightly higher aggregate welfare.

Type
Articles
Copyright
Copyright © Cambridge University Press 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

*

The authors thank two anonymous referees and participants at a Netspar Pension Day for useful comments. Financial support from Mn Services and Netspar is gratefully acknowledge. The usual disclaimers apply.

References

Beetsma, R. and Schotman, P. (2001) Measuring risk attitudes in a natural experiment: data from the television game show LINGO. Economic Journal, 111(474): 821848.CrossRefGoogle Scholar
Brennan, M. J. and Xia, Y. (2002) Dynamic asset allocation under inflation. Journal of Finance, 57(3): 12011238.CrossRefGoogle Scholar
Brown, J. R. and Wilcox, D. W. (2009) Discounting state and local pension liabilities. American Economic Review, 99(2): 538542.CrossRefGoogle Scholar
Bucciol, A. and Miniaci, R. (2008) Household portfolios and implicit risk aversion. Netspar Discussion Paper, No. 07/2008-036.Google Scholar
Carroll, C. D. (2006) The method of endogenous gridpoints for solving dynamic stochastic optimization problems. Economics Letters, 91(3): 312320.CrossRefGoogle Scholar
Dai, Q. and Singleton, K. (2000) Specification analysis of affine term structure models. Journal of Finance, 55(5): 19431978.CrossRefGoogle Scholar
De Jong, F. (2008) Valuation of pension liabilities in incomplete markets. Journal of Pension Economics and Finance, 7(3): 277294.CrossRefGoogle Scholar
Economic Policy Committee and European Commission (2006) The Impact of Ageing on Public Expenditure: Projections for the EU25 Member States of Pensions, Health-Care, Long-Term Care, Education and Unemployment Transfers (2004–2050). European Economy, Special Reports, 1.Google Scholar
Evans, C. and Marshall, D. (1998) Monetary policy and the term structure of nominal interest rates: evidence and Theory. Carnegie-Rochester Conference Series on Public Policy, 49(1): 53111.CrossRefGoogle Scholar
Geanakoplos, J. and Zeldes, S. P. (2009) Market valuation of accrued social security benefits. NBER Working Paper, No. 15170.Google Scholar
Gertner, R. (1993) Game shows and economic behavior: risk taking on ‘Card Sharks’. Quarterly Journal of Economics, 108: 507–21.CrossRefGoogle Scholar
Hansen, G. D. (1993) The cyclical and secular behaviour of the labour input: comparing efficiency units and hours worked. Journal of Applied Econometrics, 8(1): 7180.CrossRefGoogle Scholar
Imrohoroglu, A., Imrohoroglu, S. and Joines, D. H. (2003) Time inconsistent preferences and social security. Quarterly Journal of Economics, 118(2): 745784.CrossRefGoogle Scholar
Lee, R. D. and Carter, L. R. (1992) Modeling and forecasting U.S. mortality. Journal of the American Statistical Association, 87(419): 659671.Google Scholar
Lucas, D. J. and Zeldes, S. P. (2009) How should public pension plans invest? American Economic Review, 99(2): 527532.CrossRefGoogle Scholar
Morin, R. A. and Suarez, A. F. (1983) Risk aversion revisited. Journal of Finance, 38(4): 12011216.CrossRefGoogle Scholar
Munnell, A. H., Aubry, J. P. and Muldoon, D. (2008) The financial crisis and state/local defined benefit plans. CRR News in Brief, 819.Google Scholar
Pelsser, A. and Vlaar, P. (2008) Market-consistent valuation of pension liabilities. Netspar Panel Paper, No. 11.Google Scholar
Siegel, F. W. and Hoban, J. P. (1982) Relative risk aversion revisited. Review of Economics and Statistics, 64(3): 481487.CrossRefGoogle Scholar
Tauchen, G. and Hussey, R. (1991) Quadrature-based methods for obtaining approximate solutions to non-linear asset pricing models. Econometrica, 59(2): 371396.CrossRefGoogle Scholar
van Ewijk, C., Draper, N., ter Rele, H. and Westerhout, E. (2006) Ageing and the Sustainability of Dutch Public Finances. CPB Special Publication 61.Google Scholar
Supplementary material: PDF

Bucciol supplementary material

Figure 1.pdf

Download Bucciol supplementary material(PDF)
PDF 7.5 KB