Tag: income inequality

What will production look like in 20 years time? Will familiar jobs in both manufacturing and the services be taken over by robots? And if so, which ones? What will be the effect on wages and on unemployment? Will most people be better off, or will just a few gain while others get by with minimum-wage jobs or no jobs at all?

The BBC has been running a series looking at new uses for robots and whether they will take people’s jobs? This complements three reports: one by Boston Consulting one by Deloitte and an earlier one by Deloitte and Michael Osborne and Carl Frey from Oxford University’s Martin School. As Jane Wakefield, the BBC’s technology reporter states:

Boston Consulting Group predicts that by 2025, up to a quarter of jobs will be replaced by either smart software or robots, while a study from Oxford University has suggested that 35% of existing UK jobs are at risk of automation in the next 20 years.

Jobs at threat from machines include factory work, office work, work in the leisure sector, work in medicine, law, education and other professions, train drivers and even taxi and lorry drivers. At present, in many of these jobs machines work alongside humans. For example, robots on production lines are common, and robots help doctors perform surgery and provide other back-up services in medicine.

A robot may not yet have a good bedside manner but it is pretty good at wading through huge reams of data to find possible treatments for diseases.

Even if robots don’t take over all jobs in these fields, they are likely to replace an increasing proportion of many of these jobs, leaving humans to concentrate on the areas that require judgement, creativity, human empathy and finesse.

These developments raise a number of questions. If robots have a higher marginal revenue product/marginal cost ratio than humans, will employers choose to replace humans by robots, wholly or in part? How are investment costs factored into the decision? And what about industrial relations? Will employers risk disputes with employees? Will they simply be concerned with maximising profit or will they take wider social concerns into account?

Then there is the question of what new jobs would be created for those who lose their jobs to machines. According to the earlier Deloitte study, which focused on London, over 80% of companies in London say that over the next 10 years they will be most likely to take on people with skills in ‘digital know-how’, ‘management’ and ‘creativity’.

But even if new jobs are created through the extra spending power generated by the extra production – and this has been the pattern since the start of the industrial revolution some 250 years ago – will these new jobs be open largely to those with high levels of transferable skills? Will the result be an ever widening of the income gap between rich and poor? Or will there be plenty of new jobs throughout the economy in a wide variety of areas where humans are valued for the special qualities they bring? As the authors of the later Deloitte paper state:

The dominant trend is of contracting employment in agriculture and manufacturing being more than offset by rapid growth in the caring, creative, technology and business services sectors.

The issues of job replacement and job creation, and of the effects on income distribution and the balance between work and leisure, are considered in the following videos and articles, and in the three reports.

Videos

What is artificial intelligence? BBC News, Valery Eremenko (13/9/15)
What jobs will robots take over? BBC News, David Botti (15/8/14)
Could a robot do your job? BBC News, Rory Cellan-Jones (14/9/15)
Intelligent machines: The robots that work alongside humans BBC News, Rory Cellan-Jones (14/9/15)
Intelligent machines: Will you be replaced by a robot? BBC News, John Maguire (14/9/15)
Will our emotions change the way adverts work? BBC News, Dan Simmons (24/7/15)
Could A Robot Do My Job? BBC Panorama, Rohan Silva (14/9/15)

Articles

Technology has created more jobs in the last 144 years than it has destroyed, Deloitte study finds Independent, Doug Bolton (18/8/15)
Technology has created more jobs than it has destroyed, says 140 years of data The Guardian, Katie Allen (18/8/15)
Will a robot take your job? BBC News (11/9/15)
Intelligent Machines: The jobs robots will steal first BBC News, Jane Wakefield (14/9/15)
Robots Could Take 35 Per Cent Of UK Jobs In The Next 20 Years Says New Study Huffington Post, Thomas Tamblyn (14/9/15)
The new white-collar fear: will robots take your job? The Telegraph, Rohan Silva (12/9/15)
Does technology destroy jobs? Data from 140 years says no Catch news, Sourjya Bhowmick (11/9/15)

Reports

Takeoff in Robotics Will Power the Next Productivity Surge in Manufacturing Boston Consulting Group (10/2/15)
Agiletown: the relentless march of technology and London’s response Deloitte (November 2014)
Technology and people: The great job-creating machine Deloitte, Ian Stewart, Debapratim De and Alex Cole (August 2015)

Questions

  1. Which are the fastest growing and fastest declining occupations? To what extent can these changes be explained by changes in technology?
  2. What type of unemployment is caused by rapid technological change?
  3. Why, if automation replaces jobs, have jobs increased over the past 250 years?
  4. In what occupations is artificial intelligence (AI) most likely to replace humans?
  5. To what extent are robots and humans complementary rather than substitute inputs into production?
  6. “Our analysis of more recent employment data also reveals a clear pattern to the way in which technology has affected work.” What is this pattern? Explain.
  7. Why might AI make work more interesting for workers?
  8. Using a diagram, show how an increase in workers’ marginal productivity from working alongside robots can result in an increase in employment. Is this necessarily the case? Explain.

The World Economic Forum has been holding its annual meeting in the up-market Swiss ski resort of Davos. Many of the world’s richest and most powerful people attend these meetings, including political leaders, business leaders and representatives of various interest groups.

This year, one of the major topics has been the growth in inequality across the globe and how to reverse it. According to a report by Oxfam, Wealth: Having it all and wanting more:

The richest 1 per cent have seen their share of global wealth increase from 44 per cent in 2009 to 48 per cent in 2014 and at this rate will be more than 50 per cent in 2016. Members of this global elite had an average wealth of $2.7m per adult in 2014.

Of the remaining 52 per cent of global wealth, almost all (46 per cent) is owned by the rest of the richest fifth of the world’s population. The other 80 per cent share just 5.5 per cent and had an average wealth of $3851 per adult – that’s 1/700th of the average wealth of the 1 per cent.

Currently, the richest 85 people in the world have the same amount of wealth as the poorest 50% of the world’s population. It might seem odd that those with the wealth are talking about the problem of inequality. Indeed, some of those 85 richest people were at the conference: a conference that boasts extremely luxurious conditions. What is more, many delegates flew into the conference in private jets (at least 850 jets) to discuss not just poverty but also climate change!

Yet if the problem of global inequality is to be tackled, much of the power to do so lies in the hands of these rich and powerful people. They are largely the ones who will have to implement policies that will help to raise living standards of the poor.

But why should they want to? Part of the reason is a genuine concern to address the issues of increasingly divided societies. But part is the growing evidence that greater inequality reduces economic growth by reducing the development of skills of the lower income groups and reducing social mobility. We discussed this topic in the blog, Inequality and economic growth.

So what policies could be adopted to tackle the problem. Oxfam identifies a seven-point plan:

Clamp down on tax dodging by corporations and rich individuals;
Invest in universal, free public services such as health and education;
Share the tax burden fairly, shifting taxation from labour and consumption towards capital and wealth;
Introduce minimum wages and move towards a living wage for all workers;
Ensure adequate safety-nets for the poorest, including a minimum income guarantee;
Introduce equal pay legislation and promote economic policies to give women a fair deal;
Agree a global goal to tackle inequality.

But how realistic are these policies? Is it really in the interests of governments to reduce inequality? Indeed, some of the policies that have been adopted since 2008, such as bailing out the banks and quantitative easing, have had the effect of worsening inequality. QE drives up asset prices, particularly bond, share and property prices. This has provided a windfall to the rich: the more of such assets you own, the greater the absolute gain.

The following videos and articles look at the problem of growing inequality and how realistic it is to expect leaders to do anything significant about it.

Videos and podcasts

Income inequality is ‘brake on growth’, Oxfam chief warns Davos France 24, Winnie Byanyima (22/1/15)
Davos dilemma: Can the 1% cure income inequality? Yahoo Finance, Lizzie O’Leary and Shawna Ohm (21/1/15)
Richest 1% ‘Will Own Half The World’s Wealth By 2016’ ITN on YouTube, Sarah Kerr (19/1/15)
The Price of Inequality BBC Radio 4, Robert Peston (3/2/15 and 10/2/15)

Articles

Richest 1% will own more than all the rest by 2016 Oxfam blogs, Jon Slater (19/1/15)
Global tax system can cut inequality The Scotsman, Jamie Livingstone (23/1/15)
A new framework for a new age Financial Times, Tony Elumelu (23/1/15)
The global elite in Davos must give the world a pay rise New Statesman, Frances O’Grady (22/1/15)
New Oxfam report says half of global wealth held by the 1% The Guardian, Larry Elliott and Ed Pilkington (19/1/15)
Davos is starting to get it – inequality is the root cause of stagnation The Guardian, Larry Elliott (25/1/15)
Inequality isn’t inevitable, it’s engineered. That’s how the 1% have taken over The Guardian, Suzanne Moore (19/1/15)
Why extreme inequality hurts the rich BBC News, Robert Peston (19/1/15)
Eurozone stimulus ‘reinforces inequality’, warns Soros BBC News, Joe Miller (22/1/15)
Hot topic for the 1 percent at Davos: Inequality CNBC, Lawrence Delevingne (21/1/15)
Global inequality: The wrong yardstick The Economist (24/1/15)
A Richer World (a compendium of articles) BBC News (27/1/15)

Data

OECD Income Distribution Database: Gini, poverty, income, Methods and Concepts OECD
The effects of taxes and benefits on household income ONS

Questions

  1. Why has inequality increased in most countries in recent years?
  2. For what reasons might it be difficult to measure the distribution of wealth?
  3. Which gives a better indication of differences in living standards: the distribution of wealth or the distribution of income?
  4. Discuss the benefits and costs of using the tax system to redistribute (a) income and (b) wealth from rich to poor
  5. Go through each of the seven policies advocated by Oxfam and consider how practical they are and what possible objections to them might be raised by political leaders.
  6. Why is tax avoidance/tax evasion by multinational companies difficult to tackle?
  7. Does universal access to education provide the key to reducing income inequality within and between countries?

What is the relationship between the degree of inequality in a country and the rate of economic growth? The traditional answer is that there is a trade off between the two. Increasing the rewards to those who are more productive or who invest encourages a growth in productivity and capital investment, which, in turn, leads to faster economic growth. Redistribution from the rich to the poor, by contrast, is argued to reduce incentives by reducing the rewards from harder work, education, training and investment. Risk taking, it is claimed, is discouraged.

Recent evidence from the OECD and the IMF, however, suggests that when income inequality rises, economic growth falls. Inequality has grown massively in many countries, with average incomes at the top of the distribution seeing particular gains, while many at the bottom have experienced actual declines in real incomes or, at best, little or no growth. This growth in inequality can be seen in a rise in countries’ Gini coefficients. The OECD average Gini coefficient rose from 0.29 in the mid-1980s to 0.32 in 2011/12. This, claims the OECD, has led to a loss in economic growth of around 0.35 percentage points per year.

But why should a rise in inequality lead to lower economic growth? According to the OECD, the main reason is that inequality reduces the development of skills of the lower income groups and reduces social mobility.

By hindering human capital accumulation, income inequality undermines education opportunities for disadvantaged individuals, lowering social mobility and hampering skills development.

The lower educational attainment applies both to the length and quality of education: people from poorer backgrounds on average leave school or college earlier and with lower qualifications.

But if greater inequality generally results in lower economic growth, will a redistribution from rich to poor necessarily result in faster economic growth? According to the OECD:

Anti-poverty programmes will not be enough. Not only cash transfers but also increasing access to public services, such as high-quality education, training and healthcare, constitute long-term social investment to create greater equality of opportunities in the long run.

Thus redistribution policies need to be well designed and implemented and focus on raising incomes of the poor through increased opportunities to increase their productivity. Simple transfers from rich to poor via the tax and benefits system may, in fact, undermine economic growth. According to the IMF:

That equality seems to drive higher and more sustainable growth does not in itself support efforts to redistribute. In particular, inequality may impede growth at least in part because it calls forth efforts to redistribute that themselves undercut growth. In such a situation, even if inequality is bad for growth, taxes and transfers may be precisely the wrong remedy.

Articles

Inequality ‘significantly’ curbs economic growth – OECD BBC News (9/12/14)
Is inequality the enemy of growth? BBC News, Robert Peston (6/10/14)
Income inequality damages growth, OECD warns Financial Times, Chris Giles (8/10/14)
OECD finds increasing inequality lowers growth Deutsche Welle, Jasper Sky (10/12/14)
Revealed: how the wealth gap holds back economic growth The Guardian, Larry Elliott (9/12/14)
Inequality Seriously Damages Growth, IMF Seminar Hears IMF Survey Magazine (12/4/14)
Warning! Inequality May Be Hazardous to Your Growth iMFdirect, Andrew G. Berg and Jonathan D. Ostry (8/4/11)
Economic growth more likely when wealth distributed to poor instead of rich The Guardian, Stephen Koukoulas (4/6/15)
So much for trickle down: only bold reforms will tackle inequality The Guardian, Larry Elliott (21/6/15)

Videos

Record inequality between rich and poor OECD on YouTube (5/12/11)
The Price of Inequality The News School on YouTube, Joseph Stiglitz (5/10/12)

Reports and papers

FOCUS on Inequality and Growth OECD, Directorate for Employment, Labour and Social Affairs (December 2014)
Trends in Income Inequality and its Impact on Economic Growth OECD Social, Employment and Migration Working Papers, Federico Cingano (9/12/14)
An Overview of Growing Income Inequalities in OECD Countries: Main Findings OCED (2011)
Redistribution, Inequality, and Growth IMF Staff Discussion Note, Jonathan D. Ostry, Andrew Berg, and Charalambos G. Tsangarides (February 2014)
Measure to Measure Finance and Development, IMF, Jonathan D. Ostry and Andrew G. Berg (Vol. 51, No. 3, September 2014)

Data

OECD Income Distribution Database: Gini, poverty, income, Methods and Concepts OECD
The effects of taxes and benefits on household income ONS

Questions

  1. Explain what are meant by a Lorenz curve and a Gini coefficient? What is the relationship between the two?
  2. The Gini coefficient is one way of measuring inequality. What other methods are there? How suitable are they?
  3. Assume that the government raises taxes to finance higher benefits to the poor. Identify the income and substitution effects of the tax increases and whether the effects are to encourage or discourage work (or investment).
  4. Distinguish between (a) progressive, (b) regressive and (c) proportional taxes?
  5. How will the balance of income and substitution effects vary in each of the following cases: (a) a cut in the tax-free allowance; (b) a rise in the basic rate of income tax; (c) a rise in the top rate of income tax? How does the relative size of the two effects depend, in each case, on a person’s current income?
  6. Identify policy measures that would increase both equality and economic growth.
  7. Would a shift from direct to indirect taxes tend to increase or decrease inequality? Explain.
  8. By examining Tables 3, 26 and 27 in The Effects of Taxes and Benefits on Household Income, 2012/13, (a) explain the difference between original income, gross income, disposable income and post-tax income; (b) explain the differences between the Gini coefficients for each of these four categories of income in the UK.

In his 1971 book, Income Distribution, Jan Pen, a Dutch economist, gave a graphic illustration of inequality in the UK. He described a parade of people marching by. They represent the whole population and the parade takes exactly one hour to pass by. The height of each person represents his or her income. People of average height are the people with average incomes – the observer is of average height. The parade starts with the people on the lowest incomes (the dwarfs), and finishes with those on the highest incomes (the giants).

Because income distribution is unequal, there are many tiny people. Indeed, for the first few minutes of the parade, the marchers are so small they can barely be seen. Even after half an hour, when people on median income pass by, they are barely waist high to the observer.

The height is growing with tantalising slowness, and forty-five minutes have gone by before we see people of our own size arriving. To be somewhat more exact: about twelve minutes before the end the average income recipients pass by.

In the final minutes, giants march past and then in the final seconds:

the scene is dominated by colossal figures: people like tower flats. Most of them prove to be businessmen, managers of large firms and holders of many directorships and also film stars and a few members of the Royal Family.

The rear of the parade is brought up by a few participants who are measured in miles. Indeed they are figures whose height we cannot even estimate: their heads disappear into the clouds and probably they themselves do not even know how tall they are.

Pen’s description could be applied to most countries – some with even more dwarfs and even fewer but taller giants. Generally, over the 43 years since the book was published, countries have become less equal: the giants have become taller and the dwarfs have become smaller.

The 2011 Economist article, linked below, uses changes in Gini coefficients to illustrate the rise in income inequality. A Gini coefficient shows the area between the Lorenz curve and the 45° line. The figure will be between 0 and 1 (or 0% and 100%). a figure of 0 shows total equality; a figure of 1 shows a situation of total inequality, where one person earns all the nation’s income. The higher the figure, the greater the inequality.

The chart opposite shows changes in the Gini coefficient in the UK (see Table 27 in the ONS link below for an Excel file of the chart). As this chart and the blog post Rich and poor in the UK show, inequality rose rapidly during the years of the 1979–91 Thatcher government, and especially in the years 1982–90. This was associated with cuts in the top rate of income tax and business deregulation. It fell in the recession of the early 1990s as the rich were affected more than the poor, but rose with the recovery of the mid- to late 1990s. It fell again in the early 2000s as tax credits helped the poor. It fell again following the financial crisis as, once more, the rich were affected proportionately more than the poor.

The most up-to-date international data for OECD countries can be found on the OECD’s StatExtracts site (see chart opposite: click here for a PowerPoint). The most unequal developed county is the USA, with a Gini coefficient of 0.389 in 2012 (see The end of the American dream?), and US inequality is rising. Today, the top 1% of the US population earns some 24% of national income. This compares with just 9% of national income in 1976.

Many developing countries are even less equal. Turkey has a Gini coefficient of 0.412 and Mexico of 0.482. The figure for South Africa is over 0.6.

When it comes to wealth, distribution is even less equal. The infographic, linked below, illustrates the position today in the USA. It divides the country into 100 equal-sized groups and shows that the top 1% of the population has over 40% of the nation’s wealth, whereas the bottom 80% has only 7%.

So is this inequality of income and wealth desirable? Differences in wages and salaries provide an incentive for people to work harder or more effectively and to gain better qualifications. The possibility of increased wealth provides an incentive for people to invest.

But are the extreme differences in wealth and income found in many countries today necessary to incentivise people to work, train and invest? Could sufficient incentives exist in more equal societies? Are inequalities in part, or even largely, the result of market imperfections and especially of economic power, where those with power and influence are able to use it to increase their own incomes and wealth?

Could it even be the case that excessive inequality actually reduces growth? Are the huge giants that exist today accumulating too much financial wealth and creating too little productive potential? Are they spending too little and thus dampening aggregate demand? These arguments are considered in some of the articles below. Perhaps, by paying a living wage to the ‘tiny’ people on low incomes, productivity could be improved and demand could be stimulated.

Infographic

Wealth Inequality in America YouTube, Politizane (20/11/12)

Articles

The rise and rise of the cognitive elite The Economist (20/1/11)
Inequality in America: Gini in the bottle The Economist (26/11/13)
Pen’s Parade: do you realize we’re mostly dwarves? LVTFan’s Blog (21/2/11)
Here Are The Most Unequal Countries In The World Business Insider, Andy Kiersz (8/11/14)
Inequality in the World Dollars & Sense, Arthur MacEwan (Nov/Dec 14)
Britain is scared to face the real issue – it’s all about inequality The Observer, Will Hutton (19/1/14)
The tame inequality debate FundWeb, Daniel Ben-Ami (Nov 14)
Is inequality the enemy of growth? BBC News, Robert Peston (6/10/14)

Data

GINI index World Bank data
List of countries by income equality Wikipedia
The Effects of Taxes and Benefits on Household Income, 2012/13 ONS (see table 27)
Income Distribution and Poverty: Gini (disposale income) OECD StatExtract

Questions

  1. Distinguish between income and wealth. Is each one a stock or a flow?
  2. Explain how (a) a Lorenz curve and (b) a Gini coefficient are derived.
  3. What other means are there of measuring inequality of income and wealth other than using Gini coefficients (and giants and dwarfs!)?
  4. Why has inequality been rising in many countries over the years?
  5. How do (a) periods of rapid economic growth and (b) recessions affect income distribution?
  6. Define ‘efficiency wages’. How might an increase in wages to people on low incomes result in increased productivity?
  7. What is the relationship between the degree of inequality and household debt? What implications might this have for long-term economic growth and future financial crises? Is inequality the ‘enemy of growth’?

The ONS has just released its annual publication, The Effects of Taxes and Benefits on Household Income. The report gives data for the financial year 2012/13 and historical data from 1977 to 2012/13.

The publication looks at the distribution of income both before and after taxes and benefits. It divides the population into five and ten equal-sized groups by household income (quintiles and deciles) and shows the distribution of income between these groups. It also looks at distribution within specific categories of the population, such as non-retired and retired households and different types of household composition.

The data show that the richest fifth of households had an average pre-tax-and-benefit income of £81,284 in 2012/13, 14.7 times greater than average of £5536 for the poorest fifth. The richest tenth had an average pre-tax-and-benefit income of £104,940, 27.1 times greater than the average of £3875 for the poorest tenth.

After the receipt of cash benefits, these gaps narrow to 6.6 and 11.0 times respectively. When the effect of direct taxes are included (giving ‘disposable income’), the gaps narrow further to 5.6 and 9.3 times respectively. However, when indirect taxes are also included, the gaps widen again to 6.9 and 13.6 times.

This shows that although direct taxes are progressive between bottom and top quintiles and deciles, indirect taxes are so regressive that the overall effect of taxes is regressive. In fact, the richest fifth paid 35.1% of their income in tax, whereas the poorest fifth paid 37.4%.

Taking the period from 1977 to 2012/13, inequality of disposable income (i.e. income after direct taxes and cash benefits) increased from 1977 to 1988, especially during the second two Thatcher governments (1983 to 1990) (see chart opposite). But then in the first part of the 1990s inequality fell, only to rise again in the late 1990s and early 2000s. However, with the Labour government giving greater cash benefits for the poor, inequality reduced once more, only to widen again in the boom running up to the banking crisis of 2007/8. But then, with recession taking hold, the incomes of many top earners fell and automatic stabilisers helped protect the incomes of the poor. Inequality consequently fell. But with the capping of benefit increases and a rise in incomes of many top earners as the economy recovers, so inequality is beginning to rise once more – in 2012/13, the Gini coefficient rose to 0.332 from 0.323 the previous year.

As far as income after cash benefits and both direct and indirect taxes is concerned, the average income of the richest quintile relative to that of the poorest quintile rose from 7.2 in 2002/3 to 7.6 in 2007/8 and then fell to 6.9 in 2012/13.

Other headlines in the report include:

Since the start of the economic downturn in 2007/08, the average disposable income has decreased for the richest fifth of households but increased for the poorest fifth.

Cash benefits made up over half (56.4%) of the gross income of the poorest fifth of households, compared with 3.2% of the richest fifth, in 2012/13.

The average disposable income in 2012/13 was unchanged from 2011/12, but it remains lower than at the start of the economic downturn, with equivalised disposable income falling by £1200 since 2007/08 in real terms. The fall in income has been largest for the richest fifth of households (5.2%). In contrast, after accounting for inflation and household composition, the average income for the poorest fifth has grown over this period (3.5%).

This is clearly a mixed picture in terms of whether the UK is becoming more or less equal. Politicians will, no doubt, ‘cherry pick’ the data that suit their political position. In general, the government will present a good news story and the opposition a bad news one. As economists, it is hoped that you can take a dispassionate look at the data and attempt to relate the figures to policies and events.

Report

The Effects of Taxes and Benefits on Household Income, 2012/13 ONS (26/6/14)

Data

Reference tables in The Effects of Taxes and Benefits on Household Income, 2012/13 ONS (26/6/14)
The Effects of Taxes and Benefits on Household Income, Historical Data, 1977-2012/13 ONS (26/6/14)
Rates of Income Tax: 1990-91 to 2014-15 HMRC

Articles

Inequality is on the up again – Osborne’s boast is over New Statesman, George Eaton (26/6/14)
Disposable incomes rise for richest fifth households only Money.com, Lucinda Beeman (26/6/14)
Half of families receive more from the state than they pay in taxes but income equality widens as rich get richer Mail Online, Matt Chorley (26/6/14)
Rich getting richer as everyone else is getting poorer, Government’s own figures reveal Mirror, Mark Ellis (26/6/14)
The Richest Households Got Richer Last Year, While Everyone Else Got Poorer The Economic Voice (27/6/14)

Questions

  1. Define the following terms: original income, gross income, disposable income, post-tax income, final income.
  2. How does the receipt of benefits in kind vary across the quintile groups? Explain.
  3. What are meant by the Lorenz curve and the Gini coefficient and how is the Gini coefficient measured? Is it a good way of measuring inequality?
  4. Paint a picture of how income distribution has changed over the past 35 years.
  5. Can changes in tax be a means of helping the poorest in society?
  6. What types of income tax cuts are progressive and what are regressive?
  7. Why are taxes in the UK regressive?
  8. Why has the fall in income been largest for the richest fifth of households since 2007/8? Does this mean that, as the economy recovers, the richest fifth of households are likely to experience the fastest increase in disposable incomes?