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Articles for the ‘Essentials of Economics 6e: Ch 06’ Category

Inequality and economic growth

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)

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.
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The Royal Mail

With Christmas approaching, sales will once again begin to rise and cards will be written. Mail services will be at their busiest as we post millions of cards and parcels every day. But, the question is: will they arrive? Workers in the supply chain at Royal Mail have voted to strike over pay.

Since the part privatisation of Royal Mail, many criticisms have emerged, ranging from the price at which shares were sold, the efficiency of the Royal Mail, suggestions of varying prices for delivery depending on location, and now over pay. As with any labour market, there is a demand and a supply of workers and the intersection of these curves creates our equilibrium wage. If the wage is forced up above the equilibrium wage by the actions of trade unions, then there is the potential for unemployment to be created.

The Communications Workers Union (CWU) feels that their pay is insufficient. Dave Ward, Deputy General Secretary of CWU said:

“Thanks entirely to the unreasonable attitude of Post Office management, a pre-Christmas national strike is looking inevitable…The workforce has made a major contribution to the company’s success and have every right to their fair share.”

However, the head of the supply chain at Royal Mail has responded to the threats of strike, referring to the 5% pay rise promised to its workers over the next three years, saying:

“We are undertaking the biggest modernisation programme in UK retail history to ensure we become commercially viable and reduce our reliance on public money…We urge the CWU to reconsider their unrealistic demands and discuss an affordable pay deal rather than call strike action which can only cost our people money.”

The row over pay is not the only way that job losses could emerge. A major criticism levelled at the Royal Mail is its lack of efficiency, especially in terms of cost reductions and work flexibility. The Royal Mail has become increasingly concerned by competition, especially as its low-cost competitors can choose to whom they deliver. Those living in built up areas receive mail, but for those living in more rural areas, some of Royal Mail’s competitors will not deliver there, because of the higher costs. Royal Mail does not have this luxury and hence must deliver to loss-making places. Royal Mail says that this is creating unfair pressure to its business and is calling for these competitors to be forced to deliver to rural areas and small businesses. However, one such company, Whistl, has said that the figures from Royal Mail suggest that ‘productivity is not a sufficiently high enough management priority.

If the strike does go ahead in the build up to Christmas, then the management priorities of Royal Mail will certainly be under scrutiny. The following articles consider the current situation.

Exclusive: Ofcom to criticise Royal Mail efficiency Independent, Mark Leftly (24/11/14)
Post Office facing pre-Christmas strike action BBC News (18/11/14)
DPD seeks to put Royal Mail under further pressure with hiring Financial Times, Fill Plimmer (23/11/14)
Royal Mail’s Moya Greene should stop whinging and start delivering The Telegraph, Jeremy Warner (22/11/14)
CWU deem Post Office strike over Christmas ‘inevitable’ Post&Parcel (19/11/14)

Questions

  1. If there is strike action in a labour market, what can we conclude about the market in question in terms of how competitive it is?
  2. Is strike action completely pointless?
  3. What actions could workers take, other than strike action, to achieve a resolution of their grievances? Discuss what employers could offer in an attempt to resolve the situation?
  4. What are the arguments for making Royal Mail’s competitors deliver to all places, just as the Royal Mail must do?
  5. The efficiency of the Royal Mail has been called into question. If efficiency improved, would this mean that pay rises were more or less feasible?
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UK spending on welfare: definitions, myths and facts

How much does the UK spend on welfare? This is a highly charged political question, with some arguing that benefit claimants are putting great demands on ‘hard-working tax payers’. According to information being sent by the government to all 24 million income tax payers in the UK, the figure of £168bn being spent on welfare is around 24.5% of public spending. But what is included in the total? Before you read on, try writing down the categories of government expenditure included under the heading ‘welfare’.

The heading does not include spending on certain parts of the ‘welfare state’, such as health and education. These are services, the production of which contributes to GDP. The category ‘welfare’ does not include expenditure on produced services, but rather transfer payments. The way the government is using the term, it does not include state pensions either, which account for 11.6% of public expenditure. So does the 24.5% largely consist of payments to the unemployed? The answer is no.

The category ‘welfare’ as used by the government includes the following elements. The percentages are of total managed expenditure (i.e. government spending).

Public service pensions, paid to retired public-sector employees, such as teachers, police officers, doctors and nurses (2.6%)
Other support for the elderly, including pension credit, winter fuel allowance, bus passes, etc. (1.5%)
Sickness and disability benefits, including long-term care for the elderly, sick and disabled (6.6%)
Support for families and children, such as child benefit and child tax credits (3.4%)
Social exclusion, including income support and housing benefit (7.8%)
Unemployment benefits, including Job Seekers Allowance (0.7%)
Other (1.9%)

Lumping all these together under a single heading ‘welfare’ can be highly misleading, as many people have strongly held preconceptions about who gets welfare. In fact the term is used pejoratively by many who resent their taxes being given to those who do not work.

But, as you can see from the figures, only a small proportion goes to the unemployed, the majority of whom (around 65%) are unemployed for less than a year as they move between jobs (see). The bulk of benefits goes to children, the retired and the working poor.

Another preconception is that much of welfare spending goes to fraudulent claimants. But, as the article by Professor Hills states:

Just 0.7% of all benefits was over-paid as the result of fraud, less than the amount underpaid as a result of official error. For the main benefit for unemployed people, Jobseeker’s Allowance, estimated fraud was 2.9%, or an annual total of £150million.

It is also important to consider people’s life cycle. The same people receive benefits (via their parents or guardians) as children, pay taxes when they work and receive benefits when they retire or fall sick. Thus you might be a net contributor to public finances at one time and a net beneficiary at another. For example, the majority of pensioners were net contributors when they were younger and are now mainly net beneficiaries. Many unemployed people who rely on benefits now were net contributors when they had a job.

The message is that you should be careful when interpreting statistics, even if these statistics are factually accurate. How figures are grouped together and the labels put on them can give a totally misleading impression. And politicians are always keen to ‘spin’ statistics to their advantage – whether in government or opposition.

Webcast
Annual Tax Summary: TUC and MPs on spending information BBC Daily Politics, Jo Coburn (3/11/14)

Articles
Osborne’s tax summary dismissed as propaganda by the TU BBC News (3/11/14)
The truth about welfare spending: Facts or propaganda? BBC News, Brian Milligan (4/11/14)
Its Cost Is Just One of the Myths Around ‘Welfare’ Huffington Post, John Hills (12/11/14)
Welfare spending summary criticised Express & Star (4/11/14)

Data and Reports
Public Expenditure: Statistical Analyses (PESA) 2014 HM Treasury (see Table 5.2)
DWP annual report and accounts 2013 to 2014 Department of Work and Pensions (see Table 2)
Welfare trends report – October 2014 Office for Budget Responsibility
What is welfare spending? Institute for Fiscal Studies (4/11/14)

Questions

  1. What benefits do you receive? How would you expect this to change over your lifetime?
  2. What are the arguments for (a) reducing and (b) increasing welfare payments. In each case, under which categories of welfare would you decrease or increase the level of benefits?
  3. Referring to Table 5.2 in the PESA data below (the table used for the government’s calculations), which of the categories would be classified as expenditure on goods and services and which as transfer payments?
  4. Assess the arguments of the IFS for the reclassification of the categories of ‘welfare’ payments.
  5. Referring to the pie chart above, also in the BBC video and articles and Table 5.2 in the PESA data, assess the arguments about the size of the UK’s contributions to the EU budget.
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Even more dwarfs and fewer but larger giants

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’?
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Immigration debate continues

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

  1. Why is immigration such a political topic?
  2. How are UK labour markets be affected by immigration? Use a demand and supply diagram to illustrate the effect.
  3. Based on your answer to question 2, explain why some people are concerned about the impact of immigration on UK jobs.
  4. What is the economic argument in favour of allowing immigration to continue?
  5. 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?
  6. If EU migrants are well educated, does that have a positive or negative impact on UK workers, finances and the economy?
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Job losses and labour mobility

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

  1. Is a reduction in banking jobs inevitable? Explain.
  2. What could banks do to reduce the hardship to employees from a reduction in employment?
  3. What other industries are likely to see significant job losses resulting from technological progress?
  4. Distinguish between demand-deficient, real-wage, structural and frictional unemployment. Which of these are an example, or examples, of equilibrium unemployment?
  5. What policies could the government pursue to reduce (a) frictional unemployment; (b) structural unemployment?
  6. What types of industry are likely to see an increase in employment and in what areas of these industries?
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Big Mac wages

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

  1. What is meant by ‘purchasing-power parity exchange rates’?
  2. Why may actual exchange rates not accurately reflect the purchasing power of currencies within countries?
  3. 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.
  4. 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?
  5. Using the same links, describe how the monthly minimum wage as a proportion of average monthly earnings varies across European countries. Explain these differences.
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Uncertainty of outcome in the Champions League

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

  1. 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?
  2. 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?
  3. 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?
  4. Can you think of any other elements of the design of the tournament that might have an impact on the predictability of the outcome?
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A growing debt burden

The linked article below from The Guardian paints a disturbing picture of the long-term problem of servicing both private-sector and public-sector debts.

With interest rates at historical lows, the problem has been masked for the time being. But with interest rates set to rise within a few months, and significantly over the coming years, the burden of debt servicing is likely to become severe. This could have profound effects both on long-term economic growth and on the distribution of income.

As the author, Phillip Inman states:

The funding gap is growing and with deficits on so many fronts, it is hard to see how promises to pensioners and health service users can be met without a dash for growth that is unsustainable, a switch to dramatic cost-cutting in other areas or higher taxes on those who came through the recession relatively unscathed.

You are probably facing the problem of growing debt yourself. How long, if ever, will it take you to repay your student loans? What impact will this have on your ability to spend and to have a ‘decent’ standard of living? Will you be able to afford a mortgage large enough to buy a reasonable house or flat? Will you be able to afford to do a masters degree or PhD without support from your parents or relatives or without a scholarship? And even if you manage to secure a well-paid job, will you be able to afford a reasonable pension for when you eventually retire?

The article looks at the nature of the problem and its causes. It concludes by saying:

Britain has become expert at putting off decisions and hoping for something to turn up. Without a return to ultra-cheap commodities, another technological/productivity revolution, or a return to more modest living and delayed gratification, it’s a plan that is running out of time.

Article
Trouble in store: the grave future of British public and private debt The Guardian, Phillip Inman (20/7/14)

Report
Fiscal sustainability report Office for Budget Responsibility (10/7/14)
Fiscal sustainability report – Executive summary Office for Budget Responsibility (10/7/14)
Fiscal sustainability report – Supplementary data series Office for Budget Responsibility (10/7/14)

Questions

  1. Why is public-sector debt likely to continue rising significantly over the coming years unless there is a concerted policy to make cuts in public expenditure?
  2. What factors are likely to lead to a rise in private-sector debt over the coming years?
  3. What factors have caused a redistribution from the younger to the older generation?
  4. How have ultra low interest rates affected the distribution of income?
  5. What is likely to happen to the gap in wages between ‘graduate’ jobs and ‘non-graduate’ jobs? Identify the factors likely to influence this gap?
  6. What is meant by ‘hire purchase’? Are leasing schemes for car purchase a form of ‘hire purchase? Are there similar schemes in the housing market?
  7. Does it matter if a country’s debts rise (either public or private) if the creditors are in the same country? Explain.
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Rich and poor in the UK

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?
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