In his Budget on March 19, the Chancellor of the Exchequer, George Osborne, announced fundamental changes to the way people access their pensions. Previously, many people with pension savings were forced to buy an annuity. These pay a set amount of income per month from retirement for the remainder of a person’s life.
But, with annuity rates (along with other interest rates) being at historically low levels, many pensioners have struggled to make ends meet. Even those whose pension pots did not require them to buy an annuity were limited in the amount they could withdraw each year unless they had other guaranteed income of over £20,000.
Now pensioners will no longer be required to buy an annuity and they will have much greater flexibility in accessing their pensions. As the Treasury website states:
This means that people can choose how they access their defined contribution pension savings; for example they could take all their pension savings as a lump sum, draw them down over time, or buy an annuity.
While many have greeted the news as a liberation of the pensions market, there is also the worry that this has created a moral hazard.
When people retire, will they be tempted to blow their savings on foreign travel, a new car or other luxuries? And then, when their pension pot has dwindled and their health is failing, will they then be forced to rely on the state to fund their care?
But even if pensioners resist the urge to go on an immediate spending spree, there are still large risks in giving people the freedom to spend their pension savings as they choose. As the Scotsman article below states:
The risks are all too obvious. Behaviour will change. People who no longer have to buy an annuity will not do so but will then be left with a pile of cash. What to do with it? Spend it? Invest it? There are many new risky choices. But the biggest of all can be summed up in one fact: when we retire our life expectancy continues to grow. For every day we live after 65 it increases by six and a half hours. That’s right – an extra two-and-a-half years every decade.
The glory of an annuity is it pays you an income for every year you live – no matter how long. The problem with cash is that it runs out. Already the respected Institute for Fiscal Studies (IFS) has said that the reform ‘depends on highly uncertain behavioural assumptions about when people take the money’. And that ‘there is a market failure here. There will be losers from this policy’.
We do not have perfect knowledge about how long we will live or even how long we can be expected to live given our circumstances. Many people are likely to suffer from a form of myopia that makes them blind to the future: “We’re likely to be dead before the money has run out”; or “Let’s enjoy ourselves now while we still can”; or “We’ll worry about the future when it comes”.
The point is that there are various market failings in the market for pensions and savings. Will the decisions of the Chancellor have made them better or worse?
Articles
Pension shakeup in budget leaves £14bn annuities industry reeling The Guardian, Patrick Collinson (20/3/14)
Chancellor vows to scrap compulsory annuities in pensions overhaul The Guardian, Patrick Collinson and Harriet Meyer (19/3/14)
Labour backs principle of George Osborne’s pension shakeup The Guardian, Rowena Mason (23/3/14)
Osborne’s pensions overhaul may mean there is little left for future rainy days The Guardian, Phillip Inman (24/3/14)
Let’s celebrate the Chancellor’s bravery on pensions – now perhaps the Government can tackle other mighty vested interests Independent on Sunday, Mary Dejevsky (23/3/14)
A vote-buying Budget The Scotsman, John McTernan (21/3/14)
L&G warns on mis-selling risks of pension changes The Telegraph, Alistair Osborne (26/3/14)
Budget 2014: Pension firms stabilise after £5 billion sell off Interactive Investor, Ceri Jones (20/3/14)
Budget publications
Budget 2014: pensions and saving policies Institute for Fiscal Studies, Carl Emmerson (20/3/14)
Budget 2014: documents HM Treasury (March 2014)
Freedom and choice in pensions HM Treasury (March 2014)
Questions
- What market failures are there in the market for pensions?
- To what extent will the new measures help to tackle the existing market failures in the pension industry?
- Explain the concept of moral hazard. To what extent will the new pension arrangements create a moral hazard?
- Who will be the losers from the new arrangements?
- Assume that you have a choice of how much to pay into a pension scheme. What is likely to determine how much you will choose to pay?
Many people are attracted to work in the private sector, with expectations of greater opportunities for promotion, more variation in work and higher salaries. However, according to the Office for National Statistics, it may be that the oft-talked-of pay differential is actually in the opposite direction. Data from the ONS suggests that public sector workers are paid 14.5% more on average than those working in the private sector.
As is the case with the price of a good, the price of labour (that is, the wage rate) is determined by the forces of demand and supply. Many factors influence the wages that individuals are paid and traditional theory leads us to expect higher wages in sectors where there are many firms competing for labour. With the government acting as a monopsony employer, it has the power to force down wages below what we would expect to see in a perfectly competitive labour market. However, the ONS data suggests the opposite. What factors can explain this wage differential?
Jobs in the public sector, on average, require a higher degree of skills. There tend to be entry qualifications, such as possessing a university degree. While this is the case for many private-sector jobs as well, on average it is a greater requirement in the public sector. The skills required therefore help to push up the wages that public-sector workers can demand. Another explanation could be the size of public-sector employers, which allows them to offer higher wages. When the skills, location, job specifications etc. were taken into account, the 14.5% average hourly earnings differential declined to between just 2.2% and 3.1%, still in favour of public-sector workers. It then reversed to give private-sector workers the pay edge, once the size of the employer was taken out.
Further analysis of the data also showed that, while it may pay to be in the public sector when you’re starting out on your career, it pays to be in the private sector as you move up the career ladder. Workers in the bottom 5% of earners will do better in the public sector, while those in the top 5% of earners benefit from private-sector employment. The ONS said:
Looking at the top 5%, in the public sector earnings are greater than £31.49 per hour, while in the private sector, the top 5% earn more than £33.63 per hour… The top 1% of earners in the private sector, at more than £60.21 per hour, earns considerably more than the top 1% of earners in the public sector, at more than £49.65 per hour.
The data from the ONS thus suggest a reversal in the trend of average public-sector pay being higher than private sector pay, once all the relevant factors are taken into account.
This will naturally add to debates about living standards, which are likely to take on a stronger political slant as the next election approaches. It is obviously partly down to the public-sector pay freeze that we saw in 2010 and also to a reversal, at least in part, of the previous trend from 2008, where public-sector pay
had been growing faster than private-sector pay. However, depending on the paper you read or the person you listen to, they will offer very different views as to who gets paid more. All you need to do in this case is look at the titles of the newspaper articles written by the Independent and The Telegraph! Whatever the explanation, these new data provide a wealth of information about relative prospects for pay for everyone.
Data
Public and Private Sector Earnings Office for National Statistics (March 2014)
Annual Survey of Hours and Earnings, 2013 Provisional Results Office for National Statistics (December 2013)
Articles
Austerity bites as private sector pay rises above the public sector for the first time since 2010 Independent, Ben Chu (10/3/14)
Public sector workers still better paid despite the cuts The Telegraph, John Bingham (10/3/14)
Public sector hourly pay outstrips private sector pay BBC News (10/3/14)
Public sector workers are biggest losers in UK’s post-recession earnings squeeze The Guardian, Larry Elliott (11/3/14)
New figures go against right-wing claims that public sector workers are grossly overpaid Independent, Ben Chu (10/3/14)
Public sector pay sees biggest shrink on 2010, figures suggest LocalGov, Thomas Bridge (11/3/14)
Public sector staff £2.12 an hour better off The Scotsman, David Maddox (11/3/14)
Questions
- Illustrate the way in which wages are determined in a perfectly competitive labour market.
- Why does monopsony power tend to push wages down?
- Why does working for a large company suggest that you will earn a higher wage on average?
- Using the concept of marginal revenue product of labour, explain the way in which higher skills help to push up wages.
- How significant are public-sector pay freezes in explaining the differential between public- and private-sector pay?
- Why is there a difference between the bottom and top 5% of earners? How does this impact on whether it is more profitable to work in the public or private sector?
The UK Shadow Chancellor, Ed Balls, has announced that, if Labour is returned to power in the next election, it will bring back the 50% top rate of income tax (see also). This will apply to incomes over £150,000.
But will this raise more tax revenue? The question here concerns incentive effects. Will the higher rate of income tax discourage work by those earning £150,000 or encourage tax avoidance or tax evasion, so that the total tax take is reduced? The Conservatives say the answer is yes. The Labour party says no, claiming that there will still be an increase in tax revenue.
The possible effects are summed up in the Laffer curve (see The 50p income tax rate and the Laffer curve). As the previous post stated:
These arguments were put forward in the 1980s by Art Laffer, an adviser to President Reagan. His famous ‘Laffer curve’ (see Economics (8th edition) Box 10.3) illustrated that tax revenues are maximised at a particular tax rate. The idea behind the Laffer curve is very simple. At a tax rate of 0%, tax revenue will be zero – but so too at a rate of 100%, since no-one would work if they had to pay all their income in taxes. As the tax rate rises from 0%, so tax revenue would rise. And so too, as the tax rate falls from 100%, the tax rate would rise. It follows that there will be some tax rate between 0% and 100% that maximises tax revenue.
As Labour is claiming that re-introducing the 50% top rate of income tax will increase tax revenue, the implication is that the economy is to the left of the top of the Laffer curve: that, at current level of income, the curve is still rising.
Work by HMRC, and published in the document The Exchequer effect of the 50 per cent additional rate of income tax, suggested that the previous cut in the top rate from 50% to 45% would cut revenue by around £3.5 billion if there were no incentive effect, but with the extra work that would be generated, the cut would be a mere £100 million. This implies, other things being equal, that a rise in the rate from 45% to 50% would raise only a tiny bit of extra taxes.
However, the HMRC analysis has been criticised and especially its assumptions about the incentive effects on work. Then there is the question of whether a rise in the rate from 45% to 50% would have exactly the reverse effect of a cut from 50% to 45%. And then there is the question of how much HMRC could reduce tax evasion and avoidance.
The following article from the Institute for Fiscal Studies examines the effects. However, the authors conclude that:
… at the moment, the best evidence we have still suggests that raising the top rate of tax would raise little revenue and make, at best, a marginal contribution to reducing the budget deficit an incoming government would face after the next election.
But there is also the question of equity. Putting aside the question of how much revenue would be raised, is it fair to raise the top rate of tax for those on high incomes? Would it make an important contribution to reducing inequality? This normative question lies at the heart of the different views of the world between left and right and is not a question that can be answered by economic analysis.
Article
50p tax – strolling across the summit of the Laffer curve? Institute for Fiscal Studies, Paul Johnson and David Phillips (Jan 2014)
Questions
- Distinguish between tax evasion and tax avoidance.
- How would it be possible for a rise in tax rates to generated less tax revenue?
- Could policies shift the Laffer curve as opposed to merely resulting in a move along the curve?
- What is meant by ‘taxable income elasticity (TIE)’? What are its determinants?
- Is the taxable income elasticity at the top of the Laffer curve equal to, above or below zero? Explain.
- Why did the Office for Budget Responsibility chairman, Robert Chote, conclude that, whatever the precise answer, we were ‘strolling across the summit of the Laffer curve’?
- Explain why ‘there is little additional evidence to suggest that a 50p rate would raise more than was estimated by HMRC back in 2012’.
- What contribution can economists make to the debate on the desirability of reducing inequality?
GDP is still the most frequently used indicator of a country’s development. When governments target economic growth as a key goal, it is growth in GDP to which they are referring. And they often make the assumption that growth in GDP is a proxy for growth in well-being. But is it time to leave GDP behind as the main indicator of national economic success? This is the question posed in the first of the linked articles below, from the prestigious science journal Nature.
As the article states:
Robert F. Kennedy once said that a country’s gross domestic product (GDP) measures “everything except that which makes life worthwhile”. The metric was developed in the 1930s and 1940s amid the upheaval of the Great Depression and global war. Even before the United Nations began requiring countries to collect data to report national GDP, Simon Kuznets, the metric’s chief architect, had warned against equating its growth with well-being.
GDP measures mainly market transactions. It ignores social costs, environmental impacts and income inequality. If a business used GDP-style accounting, it would aim to maximize gross revenue — even at the expense of profitability, efficiency, sustainability or flexibility. That is hardly smart or sustainable (think Enron). Yet since the end of the Second World War, promoting GDP growth has remained the primary national policy goal in almost every country
So what could replace GDP, or be considered alongside GDP? Should we try to measure happiness? After all, behavioural scientists are getting much better at
understanding and measuring the psychology of human well-being (see the blog posts Money can’t buy me love and Happiness economics).
Or should we focus primarily on long-term issues of the sustainability of development? Or should we focus more on the distribution of income or well-being in a world that is becoming increasingly unequal?
Or should measures of well-being involve weighted composite indices involving things such as life-expectancy, education, housing, democratic engagement, leisure time, social mobility, etc. And, if so, how should the weightings of the different indicators be determined? The United Nations Development Programme (UNDP) produces annual Human Development Reports, where countries are ranked according to a Human Development Index. As the UNDP site states:
The breakthrough for the HDI was the creation of a single statistic which was to serve as a frame of reference for both social and economic development. The HDI sets a minimum and a maximum for each dimension, called goalposts, and then shows where each country stands in relation to these goalposts, expressed as a value between 0 and 1.
HDI is a composite of three sets of indicators: education, life expectancy and income (see). The UNDP since 2010 has also produced an Inequality-adjusted HDI (IHDI).
The IHDI will be equal to the HDI value when there is no inequality, but falls below the HDI value as inequality rises. The difference between the HDI and the IHDI represents the ‘loss’ in potential human development due to inequality and can be expressed as a percentage.
You can now build your own HDI for each country on the UNDP site by selecting from the following indicators: health, education, income, inequality, poverty and gender.
The Nature article considers a number of measures of progress and considers their relative merits. The other articles also look at measuring national progress and well-being and at the relationship between income per head and happiness. It is clear that focusing on GDP alone provides too simplistic an approach to measuring development.
Development: Time to leave GDP behind Nature, Robert Costanza, Ida Kubiszewski, Enrico Giovannini, Hunter Lovins, Jacqueline McGlade, Kate E. Pickett, Kristín Vala Ragnarsdóttir, Debra Roberts, Roberto De Vogli and Richard Wilkinson (15/1/14)
The happiness agenda makes for miserable policy The Conversation, Daniel Sage (9/1/14)
Economic view: No matter what the politicians say, GDP is a distorted guide to economic performance and a bad way to measure prosperity Independent, Guy Hands (28/1/14)
Buy buy love The Economist (22/6/13)
Experts confirm that money does buy happiness – but only up to £22,100 Independent, Jamie Merrill (28/11/13)
Can Money Buy Happiness? Scientific American, Sonja Lyubomirsky (10/8/10)
Money can buy happiness The Economist (2/5/13)
Money can buy happiness Hacker News, pyduan (13/1/14)
Can ‘happiness economics’ provide a new framework for development? The Guardian, Christian Kroll (3/9/13)
The 10 Things Economics Can Tell Us About Happiness The Atlantic, Derek Thompson (31/5/12)
Financial crisis hits happiness levels BBC News (3/11/13)
Happiness study finds that UK is passing point of peak life satisfaction The Guardian, Larry Elliott (27/11/13)
How GDP became the figure everyone wanted to watch BBC News, Peter Day (16/4/14)
Economic development can only buy happiness up to a ‘sweet spot’ of $36,000 GDP per person Science Daily (27/11/13)
Questions
- What does GDP measure?
- How suitable a measure of economic progress is growth in GDP?
- How can GDP be adjusted to make it a more suitable measure of economic progress?
- What are the advantages of using composite indicators of well-being?
- What difficulties are there in measuring well-being using composite indicators?
- Assuming there were no measurement problems, what indicators would you include in devising the optimum composite indicator of well-being?
- Can money buy happiness?
- Why do life satisfaction levels peak at around $36,000 (adjusted for Purchasing Power Parity (PPP))?
Politicians often make use of economic statistics to promote their point of view. A good example is a claim made by the UK Prime Minister on 23 January 2014. According to the latest statistics, he said, most British workers have seen their take-home pay rise in real terms. The Labour party countered this by arguing that incomes are not keeping up with prices.
So who is right? Studying economics and being familiar with analysing economic data should help you answer this question. Not surprisingly, the answer depends on just how you define the issue and what datasets you use.
The Prime Minister was referring to National Statistics’ Annual Survey of Hours and Earnings (ASHE). This shows that in April 2013 median gross weekly earnings for full-time employees were £517.5, up 2.25% from £506.10 in 2012, and mean gross weekly earnings for full-time employees were £620.30, up 2.06% from £607.80 in 2012 (see Table 1.1a in the dataset). CPI inflation over this period was 2.4%, representing a real fall in median gross weekly earnings of 0.15% and mean gross weekly earnings of 0.34%.
But when adjustments are made for increases in personal income tax allowances, then, according to the government, except for the richest 10% of the working population, people had an average increase in real take-home pay of 1.1%.
But does this paint the complete picture? Critics of the government’s claim that people are ‘better off’, make the following points.
First, the ASHE dataset is for the year ending April 2013. The ONS publishes other datasets that show that real wages have fallen faster since then. The Earnings and Working Hours datasets, published monthly, currently go up to November 2013.
The chart shows real wages from January 2005 to November 2013 (with CPI = 100 in December 2013). You can see that the downward trend resumed after mid 2013. In the year to November 2013, nominal average weekly earnings rose by 0.9%, while CPI inflation was 2.1%. Thus real weekly earnings fell by 1.2% over the period (click here for a PowerPoint of the chart).
Second, there is the question of whether CPI or RPI inflation should be used in calculating real wages. RPI inflation was 2.9% (compared to CPI inflation of 2.4%) in the year to April 2013. The chart shows weekly earnings adjusted for both CPI and RPI.
Third, if, instead of looking at gross real wages, the effect of income tax and national insurance changes are taken into account, then benefit changes ought also to be taken into account. Some benefits, such as tax credits and child benefit were cut in the year to April 2013.
Fourth, looking at just one year (and not even the latest 12 months) gives a very partial picture. It is better to look at a longer period and see what the trends are. The chart shows the period from 2005. Real wages (CPI adjusted) are 8.0% lower than at the peak (at the beginning of 2009) and 5.0% lower than at the time of the election in 2010. The differences are even greater if RPI-adjusted wages are used.
But even if the claim that real incomes are rising is open to a number of objections, it may be that as the recovery begins to gather pace, real incomes will indeed begin to rise. But to assess whether this is so will require a careful analysis of the statistics when they become available.
Articles
UK pay rising in real terms, says coalition BBC News (24/1/14)
Are we really any better off than we were? BBC News, Brian Milligan (24/1/14)
Government take-home pay figures ‘perfectly sensible’ BBC Today Programme, Paul Johnson (24/1/14)
Take-Home Pay ‘Rising Faster Than Prices’ Sky News, Darren McCaffrey (25/1/14)
David Cameron hails the start of ‘recovery for all’ The Telegraph, Peter Dominiczak (23/1/14)
Is take-home pay improving? The answer is anything but simple The Guardian, Phillip Inman and Katie Allen (24/1/14)
Cameron’s ‘good news’ about rising incomes is misleading says Labour The Guardian, Rowena Mason (24/1/14)
The Tories’ claim that living standards have risen is nonsense on stilts New Statesman, George Eaton (24/1/14)
FactCheck: Conservative claims on rising living standards Channel 4 News, Patrick Worrall (25/1/14)
Living standards squeeze continues in UK, says IFS BBC News (31/1/14)
Richest have seen biggest cash income squeeze but poorest have faced higher inflation IFS Press Release (31/1/14)
Data
Average Weekly Earnings dataset ONS (22/1/14)
Annual Survey of Hours and Earnings, 2013 Provisional Results ONS (12/12/13)
Consumer Price Inflation, December 2013 ONS (14/1/14)
Inequality and Poverty Spreadsheet Institute for Fiscal Studies
An Examination of Falling Real Wages, 2010 to 2013 ONS (31/1/14)
Questions
- Why are mean weekly earnings higher than median weekly earnings?
- Explain the difference between RPI and CPI. Which is the more appropriate index for determining changes in real incomes?
- Find out what benefit changes have taken place over the past two years and how they have affected household incomes.
- How have gross weekly earnings changed for the different income groups? (The ASHE gives figures for decile groups.)
- Which is better for assessing changes in incomes: weekly earnings or hourly earnings?
- How would you define a change in living standards? What data would you need to be able to assess whether living standards have increased or decreased?