Life expectancy, how much information is too much information?

Life expectancy is increasing across the world and the latest set of figures from the Office for National Statistics show that in the UK it has passed 79 for boys born in 2010–12, and 82 for girls born then. In fact the prediction is that over a third of babies born in 2013 will live to more than 100. The data throws up some interesting questions. How well prepared are we for lives that last this long? And how evenly distributed is this increase in life expectancy? Pensions’ minister, Steve Webb, has called for better information on life expectancy to be shared. How would this impact on our decision making?

It seems reasonable to think that increasing life expectancy must be good news. And of course, for individuals it can be. In 1951 the average man retiring at 65, in England and Wales, could expect to live and draw a pension for another 12.1 years. By 2014 this had risen to 22 years.

But while we can look forward to longer life, for the government, it presents some challenges The first is that we just don’t save enough for our old age. This seems to be partly because we find it hard to make decisions that will have an impact so far in the future. There are a number of measures that have been put in place to encourage us to save more, including auto-enrolment into company pension schemes. This is being rolled out across businesses over the next three years. In the 2014 Budget, the Chancellor announced that people reaching retirement age will be able to draw all their pension as a cash lump sum, rather than having to take it as a regular income.

Another concern for government is the variations that we find in life expectancy across the UK. The 2014 ONS data identified that life expectancy for men born in Glasgow in 2012 is 72.6, in East Dorset it is 82.9. 25% of those in Glasgow are not expected to live to 65. The gap in years of good health is even greater. This presents governments with a long-term problem. How do they achieve greater equality in this instance? Do they focus resources on the areas that need it most? Do they legislate to address behaviour? Or do they rely on the provision of good advice – on diet, exercise and other factors?

Information has a role to play in both areas identified above. In April 2014, Steve Webb, suggested that in order to make good decisions at the point of retirement, people need to understand more about what lies ahead. He said:

People tend to underestimate how long they’re likely to live, so we’re talking about averages, something very broad-brush. Based on your gender, based on your age, perhaps asking one or two basic questions, like whether you’ve smoked or not, you can tell somebody that they might, on average, live for another 20 years or so.

This suggestion has led to some concerns being expressed at what appears to be an over-simplistic approach. Estimates can only be based on a mix of averages modified by individual information. Would the projections be shared with pension providers? What would you do if you exceeded your forecast life expectancy – by a long way – and had spent all your money? Could you sue someone?

Will your pension pot last as long as you will? The Telegraph, Dan Hyde and Richard Dyson (23/4/2014)
Scientists invent death test that will tell us how long we have to live Metro (11/8/13)
Games host Glasgow has worst life expectancy in the UK The Guardian, Caroline Davies (16/4/2014)
Pensioners could get life expectancy guidance BBC News Politics (17/4/14)
ONS reveals gaps in life expectancy across the UK FT Adviser Pensions, Kevin White (23/4/14)
Health care aid for developing countries boosts life expectancy Health Canal, Ruth Ann Richter (22/4/14)
A third of babies born this year will live to 100 This is Money.co.uk, Adam Uren (11/12/13)

Questions

  1. Thinking about the UK, what are the factors that might explain variations in life expectancy across different regions? How might the government address these differences? Why would they want to do so?
  2. Do the same factors explain variations between countries? Who can address these differences? Who would want to do so?
  3. If you could have a reasonable prediction of your life expectancy at 65, would you want it? How would your behaviour change if you were predicted a longer than average life expectancy? How would it change if you were predicted a shorter than average life expectancy?
  4. If you could have an accurate prediction of your life expectancy at 18, how would your answers differ? If this were possible, would it present any problems?