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
- Distinguish between income and wealth. Is each one a stock or a flow?
- Explain how (a) a Lorenz curve and (b) a Gini coefficient are derived.
- What other means are there of measuring inequality of income and wealth other than using Gini coefficients (and giants and dwarfs!)?
- Why has inequality been rising in many countries over the years?
- How do (a) periods of rapid economic growth and (b) recessions affect income distribution?
- Define ‘efficiency wages’. How might an increase in wages to people on low incomes result in increased productivity?
- 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’?
One of the key battle grounds at the next General Election is undoubtedly going to be immigration. A topic that is very closely related to EU membership and what can be done to limit the number of people coming to the UK. One side of the argument is that immigrants coming into the UK boost growth and add to the strength of the economy. The other side is that once in the UK, immigrants don’t move into work and end up taking more from the welfare state than they give to it through taxation.
A new report produced by University College London’s Centre for Research and Analysis of Migration has found that the effect on the UK economy of immigrants from the 10 countries that joined the EU from 2004 has been positive. In the years until 2011, it has been found that these immigrants contributed £4.96 billion more in taxes than they took out in benefits and use of public services. Christian Dustmann, one of the authors of this report said:
“Our new analysis draws a positive picture of the overall fiscal contribution made by recent immigrant cohorts, particularly of immigrants arriving from the EU … European immigrants, particularly, both from the new accession countries and the rest of the European Union, make the most substantial contributions … This is mainly down to their higher average labour market participation compared with natives and their lower receipt of welfare benefits.”
The report also found that in the 11 years to 2011, migrants from these 10 EU countries were 43 per cent less likely than native Britons to receive benefits or tax credits, and 7 per cent less likely to live in social housing. This type of data suggests a positive overall contribution from EU immigration. However, critics have said that it doesn’t paint an accurate picture. Sir Andrew Green, Chairman of Migration Watch commented on the choice of dates, saying:
“If you take all EU migration including those who arrived before 2001 what you find is this: you find by the end of the period they are making a negative contribution and increasingly so … And the reason is that if you take a group of people while they’re young fit and healthy they’re not going to be very expensive but if you take them over a longer period they will be.”
However, the report is not all positive about the effects of immigration. When considering the impact on the economy of migrants from outside of the EEA, the picture is quite different. Over the past 17 years, immigration has cost the UK economy approximately £120bn, through migrant’s greater consumption of public benefits, such as the NHS, compared to their contributions through taxation. The debate is likely to continue and this report will certainly be used by both sides of the argument as evidence that (a) no change in immigration policy is needed and (b) a major change is needed to immigration policy. The following articles consider this report.
Report
The Fiscal effects of immigration to the UK The Economic Journal, University College London’s Centre for Research and Analysis of Migration, Christian Dustmann and Tommaso Frattini (November 2014)
Articles
Immigration from outside Europe ‘cost £120 billion’ The Telegraph, David Barrett (5/11/14)
New EU members add £5bn to UK says Research BBC News (5/11/14)
UK gains £20bn from European migrants, UCL economists reveal The Guardian, Alan Travis (5/11/14)
EU immigrant tax gain revealed Mail Online (5/11/14)
Immigration question still open BBC News, Robert Peston (5/11/14)
EU migrants pay £20bn more in taxes than they receive Financial Times, Helen Warrell (5/11/14)
Questions
- Why is immigration such a political topic?
- How are UK labour markets be affected by immigration? Use a demand and supply diagram to illustrate the effect.
- Based on your answer to question 2, explain why some people are concerned about the impact of immigration on UK jobs.
- What is the economic argument in favour of allowing immigration to continue?
- What policy changes could be recommended to restrict the levels of immigration from outside the EEA, but to continue to allow immigration from EU countries?
- If EU migrants are well educated, does that have a positive or negative impact on UK workers, finances and the economy?
Lloyds Banking Group has announced that it plans to reduce its labour force by 9000. Some of this reduction may be achieved by not replacing staff that leave, but some may have to be achieved through redundancies.
The reasons given for the reduction in jobs are technological change and changes in customer practice. More banking services are available online and customers are making more use of these services and less use of branch banking. Also, the increasingly widespread availability of cash machines (ATMs) means that fewer people withdraw cash from branches.
And it’s not just outside branches that technological change is impacting on bank jobs. Much of the work previously done by humans is now done by software programs.
One result is that many bank branches have closed. Lloyds says that the latest planned changes will see 150 fewer branches – 6.7% of its network of 2250.
What’s happening in banking is happening much more widely across modern economies. Online shopping is reducing the need for physical shops. Computers in offices are reducing the need, in many cases, for office staff. More sophisticated machines, often controlled by increasingly sophisticated computers, are replacing jobs in manufacturing.
So is this bad news for employees? It is if you are in one of those industries cutting employment. But new jobs are being created as the economy expands. So if you have a good set of skills and are willing to retrain and possibly move home, it might be relatively easy to find a new, albeit different, job.
As far as total unemployment is concerned, more rapid changes in technology create a rise in frictional and structural unemployment. This can be minimised, however, or even reduced, if there is greater labour mobility. This can be achieved by better training, education and the development of transferable skills in a more adaptive labour force, where people see changing jobs as a ‘normal’ part of a career.
Webcasts
Lloyds Bank cuts 9,000 jobs – but what of the tech future? Channel 4 News, Symeon Brown (28/10/14)
Lloyds Bank confirms 9,000 job losses and branch closures BBC News, Kamal Ahmed (28/10/14)
Article
Lloyds job cuts show the technology axe still swings for white collar workers The Guardian, Phillip Inman (28/10/14)
Reports
Unleashing Aspiration: The Final Report of the Panel on Fair Access to the Professions Cabinet Office (July 2009)
Fair access to professional careers: a progress report Cabinet Office (30/5/12)
Questions
- Is a reduction in banking jobs inevitable? Explain.
- What could banks do to reduce the hardship to employees from a reduction in employment?
- What other industries are likely to see significant job losses resulting from technological progress?
- Distinguish between demand-deficient, real-wage, structural and frictional unemployment. Which of these are an example, or examples, of equilibrium unemployment?
- What policies could the government pursue to reduce (a) frictional unemployment; (b) structural unemployment?
- What types of industry are likely to see an increase in employment and in what areas of these industries?
At least once a year The Economist publishes its ‘hamburger standard’ exchange rates for currencies. It is a light-hearted attempt to see if currencies are exchanging at their purchasing-power parity rates. The test is the price at which a ‘Big Mac’ McDonald’s hamburger sells in different countries!
According to this simplified version of the purchasing-power parity theory, exchange rates should adjust so that a Big Mac costs the same in dollars everywhere (see Economics 8th edition Box 25.4).
These Big Mac exchange rates can be used to compare various prices and incomes between countries. The article linked below from The Guardian compares minimum wages between European countries in Big Mac terms.
There are 25 countries across Europe which have minimum wages. A clear pattern of minimum wage rates can be seen: although actual exchange rates understate the purchasing power of incomes in poorer European countries compared to richer ones, minimum wages, even in purchasing-power standard terms, are still higher in the richer countries.
Luxembourg’s minimum wage buys you just about three Big Macs in an hour, while most of northern Europe (and France) between 2–2.5 Big Macs. Moving south, the minimum wage nets about one Big Mac an hour. As we progress east, it begins to cost more than an hour of work on the minimum wage in order to afford a Big Mac.
Of course, there are other factors determining the dollar price of a Big Mac other than the failure of exchange rates to reflect purchasing-power parities. Nevertheless, using the Big Mac index in this way does give a useful preliminary snap shot of differences in what minimum wages can buy in different countries.
Articles
Comparing the minimum wage across Europe using the price of a Big Mac The Guardian datablog, Alberto Nardelli (25/9/14)
Minimum wage statistics Eurostat (Sept/14)
Data
Earnings Database Eurostat
Questions
- What is meant by ‘purchasing-power parity exchange rates’?
- Why may actual exchange rates not accurately reflect the purchasing power of currencies within countries?
- Using the link to Eurostat article above, compare Big Mac minimum wages with (a) actual minimum wages and (b) minimum wages expressed in purchasing-power standard terms.
- Using the links to the Eurostat article and Eurostat data, describe how the proportion of employees earning minimum wages varies across European countries. What factors determine this proportion?
- Using the same links, describe how the monthly minimum wage as a proportion of average monthly earnings varies across European countries. Explain these differences.
The draw for the lucrative group stages of the Champions League was made on Thursday 28th August. The 32 remaining clubs in the competition were allocated into eight groups of four teams. 74% percent of the respondents to a BBC survey thought that Manchester City had the toughest draw, while only 3.7% thought that Chelsea had the hardest draw. How did the Premier League champions end up in a much tougher group than the teams that finished in 3rd and 4th place? Was it purely by chance?
The unpredictability of a sporting contest depends not only on differences in the talent/motivation of the participants involved, but also on how the contest is designed and structured. The Champions League is an interesting case. The title of the competition would suggest that the participating clubs are all league champions from the 54 football associations spread across Europe. However, out of the 32 clubs which made it to the group stage, only 18 were actually the champions of their own domestic league.
22 teams automatically qualify for the group stages, while the other ten qualify via a knock-out stage of the competition. Of the 22 teams which gain automatic qualification only thirteen are league champions. The other nine places are allocated to teams which finished either 2nd or 3rd in their domestic leagues.
The inclusion of teams which did not win their domestic league occurs because UEFA allocates places in the Champions League by ranking the sporting performance of the 54 different football associations in Europe. This measure of performance, known as a Country’s Coefficient, is based on the results of the teams from each football association in both the Champions League and Europa League over the previous five years. If UEFA ranks a football association in one of the top three positions, then the teams that finish 1st , 2nd and 3rd in those leagues automatically qualify for the group stage of the Champions League. England is currently ranked in 2nd place behind Spain, which explains why Chelsea, which finished 3rd in the Premier League, obtained automatic qualification. The teams that finished 4th in these three top ranked leagues also gain entry to the final knock-out round of the competition. This is how Arsenal gained qualification for the group stage by narrowly defeating Besiktas from the Turkish League.
Teams from the lower ranked football associations have to win through more knock-out games in order to reach the lucrative group stage. For example the league champions from the bottom six countries (Faroe Islands, Wales, Armenia, Andorra, San Marino and Gibraltar) would have to win through four two-leg knock-out games. The league champions from Scotland would have to win through three as their football association is ranked in 24th place.
A draw takes place in order to allocate the remaining 32 teams to the leagues in the group stages. It is interesting how this allocation occurs because it is not a completely random process. UEFA ranks individual teams as well as countries. Real Madrid is currently ranked in 1st place while Port Talbot Town from the Welsh league is in 449th place. The top eight ranked teams still left in the competition are placed in pot 1, the 9th to 16th ranked clubs are placed in pot 2 and so on. One team from each pot is then drawn out at random and placed in a group. Therefore each group contains one club from pot 1, 1 club from pot 2, 1 club from pot 3 and 1 from pot 4.
The problem for Manchester City is that the seeding of each team is predominately determined by its performance in the Champions and Europa league over the previous five years. Once a team has made it to the group stages, its performance in its own domestic league has no impact on how it is seeded. This means that although Arsenal only finished 4th in the Premier League, it is placed in pot 1 for the draw because of its results in the Champions League over the previous five years. It therefore avoids the other top seeded clubs such as Real Madrid, Barcelona and Bayern Munich. Chelsea is also in pot 1, so was also more likely to get a favourable draw. Manchester City was seeded in pot 2 because it had only been in the Champions League for the last three years, so had not accumulated as many points as the teams who have been in the competition for longer.
Unfortunately for Manchester City, it was drawn in the same group as one of the strongest pot 1 teams – Bayern Munich. It was also unlucky to end up with one of the strongest teams in pot 4. Roma was runners up in the Italian league so was given an automatic place in the group stage. However it received a relatively low seeding as it is the first time it has been in the Champions league since 2010–11.
How much does the seeding matter? Since 1999–2000, when the group stage was expanded to 32 clubs, 86% of the top seeded teams have successfully qualified from the group stage into the last 16. Eleven of the last 16 winners were also from pot 1.
Articles
UEFA Rankings – Club coefficients 2014/15 UEFA (29/8/14)
UEFA Rankings – Country coefficients 2014/15 UEFA (29/8/14)
UEFA Rankings – Coefficients Overview UEFA (29/8/14)
Explained: The UEFA Champions League draw The Indian Empress (28/8/14)
Questions
- Uefa awards ranking points to teams based on their sporting performance. For example teams receive two ranking points for a victory against any team. This is different from the system used to rank national teams where the quality of the team defeated also influences the number of points awarded. What impact would it have if more ranking points were awarded in the Champions League for victories against higher ranked clubs?
- The Uefa system for ranking countries and teams is based on performance in European competitions over the previous 5 years. The performance in each year is weighted equally. What impact might it have if victories from the previous year were more heavily weighted than those from 4 or 5 years ago?
- The draw for the group stages of the Champions League could be made using a completely random process without any seeding. What impact might this have on the amount of money that firms in England, Spain and Italy would be willing to pay to secure the media rights?
- Can you think of any other elements of the design of the tournament that might have an impact on the predictability of the outcome?
