3 research outputs found

    Discretion in accounting for pensions under IAS 19: using the ‘magic telescope’?

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    We use a panel data set of UK-listed companies over the period 2005 to 2009 to analyse the actuarial assumptions used to value pension plan liabilities under IAS 19. The valuation process requires companies to make assumptions about financial and demographic variables, notably discount rate, price inflation, salary inflation, and mortality/life expectancy of plan members/beneficiaries. We use regression analysis to analyse the relationships between these key assumptions (except mortality, where disclosures are limited) and company-specific factors such as the pension plan funding position and duration of pension liabilities. We find evidence of selective ‘management’ of the three assumptions investigated, although the nature of this appears to differ from the findings of US authors. We conclude that IAS 19 does not prevent the use of managerial discretion, particularly by companies whose pension plan funding positions are weak, thereby reducing the representational faithfulness of the reported pension figures. We also highlight that the degree of discretion used reflects the extent to which IAS 19 defines how the assumptions are to be determined. We therefore suggest that companies should be encouraged to justify more explicitly their choice of assumptions

    Optimal Design of Means Tested Retirement Benefits

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    Design of welfare benefits is a tricky business. In this regard, James Meade believed that it is important to avoid excessive distortions to the price of labour. He also recognised that means testing is a useful way of limiting the 'hideously expensive' cost of universal benefits provision; he conjectured that a 50% claw-back rate might be appropriate. We use a rational agent model to explore the welfare effects of alternative retirement benefits arrangements in the UK. Our analysis supports an extensive role for means testing, consistent with Meade's conjecture, and highlights the distortions associated with alternative methods of benefits financing. Copyright � The Author(s). Journal compilation � Royal Economic Society 2009.
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