scholarly journals Automatic Indexation of the Pension Age to Life Expectancy: When Policy Design Matters

Risks ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 96
Author(s):  
Mercedes Ayuso ◽  
Jorge M. Bravo ◽  
Robert Holzmann ◽  
Edward Palmer

Increasing retirement ages in an automatic or scheduled way with increasing life expectancy at retirement is a popular pension policy response to continuous longevity improvements. The question addressed here is: to what extent is simply adopting this approach likely to fulfill the overall goals of policy? To shed some light on the answer, we examine the policies of four countries that have recently introduced automatic indexation of pension ages to life expectancy–The Netherlands, Denmark, Portugal and Slovakia. To this end, we forecast an alternative period and cohort life expectancy measures using a Bayesian Model Ensemble of heterogeneous stochastic mortality models comprised of parametric models, principal component methods, and smoothing approaches. The approach involves both the selection of the model confidence set and the determination of optimal weights. Model-averaged Bayesian credible prediction intervals are derived accounting for various stochastic process, model, and parameter risks. The results show that: (i) retirement ages are forecasted to increase substantially in the coming decades, particularly if a constant period in retirement is targeted; (ii) retirement age policy outcomes may substantially deviate from the policy goal(s) depending on the design adopted and its implementation; and (iii) the choice of a cohort over period life expectancy measure matters. In addition, the distributional issues arising with the increasing socio-economic gap in life expectancy remain largely unaddressed.

2020 ◽  
Vol 12 (18) ◽  
pp. 7589 ◽  
Author(s):  
Emily C. Hazell

The valuation of ecosystem services has become an integral part of smart urban planning practices. Traditionally designed to bridge ecology and economy through economic language and logic (e.g., goods and services), this conceptual framework has developed into an effective tool for interdisciplinary work. The concept of ecosystem services is used to improve the management of ecosystems for human well-being. However, gaps in how to govern ecological benefits remain. Specifically, identifying which stakeholders benefit the most from the provision of ecosystem services remains largely unaddressed. This study examines the spatial discordance between ecosystem services and the residential stakeholders who may benefit. Using a landscape approach to quantify urban ecosystem services, an area-based composite index was developed for the City of Toronto, Canada, based on the three pillars of sustainability in order to identify potentially vulnerable populations. This method combines the use of principal component analysis (PCA) and spatial multicriteria decision analysis (GIS-MCDA) to combine and weight a select grouping of socioeconomic and ecological indicators. In addition, two sets of enumeration units (i.e., dissemination areas and census tracts) were evaluated to assess the potential impact of measurement scale on subsequent decision or policy outcomes. Results indicate the spatial interdependencies between ecological and socioeconomic processes in an urban setting, offering a unique framework for novel planning and policy intervention strategies. The influence of measurement scale was demonstrated, creating an opportunity to assess an appropriate policy scale by which to measure and evaluate trends over time and space. This approach seeks to provide a flexible and intuitive planning tool that can help to achieve goals relating to urban sustainability, resiliency and equity.


2019 ◽  
Vol 5 (3) ◽  
pp. 255-263 ◽  
Author(s):  
Hendrik P van Dalen ◽  
Kène Henkens ◽  
Jaap Oude Mulders

Abstract Governments increasingly focus on extending working lives by raising public pension ages and in some cases by linking pension ages to changes in the life expectancy. This study offers novel insights into how employers perceive such reforms and their consequences for their organization. A survey among employers (N = 1,208) has been carried out in 2017 to examine their reactions to a recent pension reform in the Netherlands. Statistical analyses are performed to examine employers’ support for the current policy of linking the public pension age to changes in average life expectancy, as well as the support for 2 alternative policies that are often considered in public policy debates: a flexible public pension age; and a lower public pension age for workers in physically demanding jobs. Results show that particularly employers in construction and industry are extremely concerned about the physical capability of employees to keep on working until the public pension age. These concerns are the driving forces behind the lack of support for linking public pension ages to changes in average life expectancy (22% support) and the overwhelming support for a lower public pension age for physically demanding jobs (82%). The introduction of a flexible pension age (78% support) is not firmly related to employers’ concerns about capability or employability of older workers.


2016 ◽  
Vol 45 (4) ◽  
pp. 459-462 ◽  
Author(s):  
Henrik Brønnum-Hansen ◽  
Mette Lindholm Eriksen ◽  
Karen Andersen-Ranberg ◽  
Bernard Jeune

Aims: The state old-age pension in Denmark increases to keep pace with the projected increase in average life expectancy (LE) without any regard to the social gap in LE and expected lifetime in good health. The purpose of this study was to compare changes in LE and disability-free life expectancy (DFLE) between groups of Danes with high, medium and low levels of education. Methods: Nationwide register data on education and mortality were combined with data from the Surveys of Health, Ageing and Retirement in Europe (SHARE) surveys in 2006–2007, 2010–2011 and 2013–2014 and the DFLE by educational level was estimated by Sullivan’s method for each of these three time points. Results: Between 2006–2007 and 2013–2014, LE among 65-year-old men and women with a low educational level increased by 1.3 and 1.0 years, respectively, and by 1.4 and 1.3 years for highly educated men and women. The gap in LE between people with high and low levels of education remained more than 2 years. In 2006–2007, 65-year-old men with a high level of education could expect 3.2 more years without disability than men of the same age with a low level of education. In 2013–2014, the difference was 2.9 years. For women, the results were 3.7 and 3.4 years, respectively. Conclusions: With the persistent social inequality in LE of more than 2 years and the continuous gap between high and low educational groups in DFLE of about 3 years, a differential pension age is recommended.


2010 ◽  
Vol 40 (1) ◽  
pp. 35-64
Author(s):  
Angus S. Macdonald

AbstractRegulation of insurers' use of genetic information means actuaries are interested in age-at-onset of genetic disorders. Arjas & Haara (1984) suggested marked point processes (MPPs) as useful models for life history data with complex covariates. Age-at-onset distributions (or equivalently, hazard rates) in respect of inherited disorders are often estimated from pedigrees, which are life histories with unusually complex covariates, as well as strong dependencies induced by shared genes. Since Elston (1973) parametric models have often been used, conditioning the likelihood on known genotypes. However, a genotype identii ed by a presymptomatic genetic test is a form of internal covariate (Kalbfleisch & Prentice, 2002). We propose a very general MPP model of a pedigree, including presymptomatic genetic testing, (‘the full model’) and show under what circumstances the partial model leading to Elston's likelihood is valid. In practice, pedigrees are often ascertained retrospectively. Many such events can be modelled by augmenting the natural filtration of the MPP. We show that, except in simple special cases, the partial model is no longer valid, and the resulting likelihoods appear to be intractable. In particular, ascertainment interacts even with independent censoring so that likelihoods no longer factorize. For one simple special case — studies of sibships — we generalise a classical result to age-at-onset data. We conclude that the study of genetic conditions with variable age at onset gains insights from the underlying principles of survival analysis in their modern form, but that great care is needed in translating epidemiological studies into actuarial models.


Author(s):  
Colin O’Hare ◽  
Youwei Li

In recent years, the issue of life expectancy has become of utmost importance to pension providers, insurance companies, and government bodies in the developed world. Significant and consistent improvements in mortality rates and hence life expectancy have led to unprecedented increases in the cost of providing for older ages. This has resulted in an explosion of stochastic mortality models forecasting trends in mortality data to anticipate future life expectancy and hence quantify the costs of providing for future aging populations. Many stochastic models of mortality rates identify linear trends in mortality rates by time, age, and cohort and forecast these trends into the future by using standard statistical methods. These approaches rely on the assumption that structural breaks in the trend do not exist or do not have a significant impact on the mortality forecasts. Recent literature has started to question this assumption. In this paper, we carry out a comprehensive investigation of the presence or of structural breaks in a selection of leading mortality models. We find that structural breaks are present in the majority of cases. In particular, we find that allowing for structural break, where present, improves the forecast result significantly.


2021 ◽  
Author(s):  
◽  
Alison O'Connell

<p>The pace of increasing life expectancy in recent decades came as a surprise to demographers, as mortality rates unexpectedly improved at the oldest ages in developed countries. The most common policy response, although one not yet planned for New Zealand, is to increase eligibility age for the public pension. Given the complexity and uncertainty of processes driving mortality improvement, future lifespans cannot be known. However, it is questionable whether policy makers and individuals understand the extent of past and likely future lifespan increase. Available evidence suggests individuals tend to underestimate how long they may live. Population mortality forecasts are generally conservative and poorly explain longevity uncertainties. Longevity risk - the possibility that future lifespans will be longer than anticipated - threatens individuals' pre-retirement financial planning and public pension policy. This thesis examines the extent of longevity risk, its causes, significance and remedies, in these two domains, for New Zealand. The theoretical existence of longevity risk has been acknowledged, but has not been subject to critical analysis in New Zealand or elsewhere. Here, a unique generalisable methodology exploiting insights available from international mortality comparisons is designed, combining actuarial and demographic theory. After assessing the flaws in the time-dependent or period approach to measurement of life expectancy that are known in theory but underexplored in practice, the method emphasises the lifecourse or cohort approach. The three factors that determine longevity risk - plausible population lifespan prospects, the lifespan assumptions used by policy makers and individuals' subjective lifespan expectations - are identified and the relationships between them analysed for New Zealand. An interpretation of the consistency of New Zealand's past mortality trends and future projections with those of other British settler countries, supplemented by a review of the consequences of mortality variance within New Zealand, shows that plausible lifespans in New Zealand are likely to be higher than those in the official projections on which policy makers rely. The first survey to ask how long New Zealanders think they will live shows that collectively, New Zealanders are more likely to underestimate future lifespan than not, based on a variety of beliefs about mortality that are not consistent with the evidence on increasing lifespans. Longevity risk from underestimation of future lifespans is revealed in New Zealand policy making and in individual New Zealanders' retirement plans. The most likely cause is the repeated misuse of life expectancy indicators in an environment lacking public discourse about increasing longevity. A remedy would be switching from using flawed period life expectancy indicators to using cohort life expectancy or modal age at death. Using plausible estimates for future lifespans based on more optimistic estimates than the official projections most often referenced would be important but mitigate longevity risk to a lesser extent. A more extensive public debate than has been held so far about eligibility age for New Zealand's public pension would itself, if using appropriate indicators for future lifespans, provide an opportunity to address longevity risk.</p>


2018 ◽  
Author(s):  
Mercedes Ayuso ◽  
Jorge Miguel Bravo ◽  
Beata Smarzynska Javorcik

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