Category: Essentials of Economics: Ch 07

GDP is still the most frequently used indicator of a country’s development. When governments target economic growth as a key goal, it is growth in GDP to which they are referring. And they often make the assumption that growth in GDP is a proxy for growth in well-being. But is it time to leave GDP behind as the main indicator of national economic success? This is the question posed in the first of the linked articles below, from the prestigious science journal Nature.

As the article states:

Robert F. Kennedy once said that a country’s gross domestic product (GDP) measures “everything except that which makes life worthwhile”. The metric was developed in the 1930s and 1940s amid the upheaval of the Great Depression and global war. Even before the United Nations began requiring countries to collect data to report national GDP, Simon Kuznets, the metric’s chief architect, had warned against equating its growth with well-being.

GDP measures mainly market transactions. It ignores social costs, environmental impacts and income inequality. If a business used GDP-style accounting, it would aim to maximize gross revenue — even at the expense of profitability, efficiency, sustainability or flexibility. That is hardly smart or sustainable (think Enron). Yet since the end of the Second World War, promoting GDP growth has remained the primary national policy goal in almost every country

So what could replace GDP, or be considered alongside GDP? Should we try to measure happiness? After all, behavioural scientists are getting much better at understanding and measuring the psychology of human well-being (see the blog posts Money can’t buy me love and Happiness economics).

Or should we focus primarily on long-term issues of the sustainability of development? Or should we focus more on the distribution of income or well-being in a world that is becoming increasingly unequal?

Or should measures of well-being involve weighted composite indices involving things such as life-expectancy, education, housing, democratic engagement, leisure time, social mobility, etc. And, if so, how should the weightings of the different indicators be determined? The United Nations Development Programme (UNDP) produces annual Human Development Reports, where countries are ranked according to a Human Development Index. As the UNDP site states:

The breakthrough for the HDI was the creation of a single statistic which was to serve as a frame of reference for both social and economic development. The HDI sets a minimum and a maximum for each dimension, called goalposts, and then shows where each country stands in relation to these goalposts, expressed as a value between 0 and 1.

HDI is a composite of three sets of indicators: education, life expectancy and income (see). The UNDP since 2010 has also produced an Inequality-adjusted HDI (IHDI).

The IHDI will be equal to the HDI value when there is no inequality, but falls below the HDI value as inequality rises. The difference between the HDI and the IHDI represents the ‘loss’ in potential human development due to inequality and can be expressed as a percentage.

You can now build your own HDI for each country on the UNDP site by selecting from the following indicators: health, education, income, inequality, poverty and gender.

The Nature article considers a number of measures of progress and considers their relative merits. The other articles also look at measuring national progress and well-being and at the relationship between income per head and happiness. It is clear that focusing on GDP alone provides too simplistic an approach to measuring development.

Development: Time to leave GDP behind Nature, Robert Costanza, Ida Kubiszewski, Enrico Giovannini, Hunter Lovins, Jacqueline McGlade, Kate E. Pickett, Kristín Vala Ragnarsdóttir, Debra Roberts, Roberto De Vogli and Richard Wilkinson (15/1/14)
The happiness agenda makes for miserable policy The Conversation, Daniel Sage (9/1/14)
Economic view: No matter what the politicians say, GDP is a distorted guide to economic performance and a bad way to measure prosperity Independent, Guy Hands (28/1/14)
Buy buy love The Economist (22/6/13)
Experts confirm that money does buy happiness – but only up to £22,100 Independent, Jamie Merrill (28/11/13)
Can Money Buy Happiness? Scientific American, Sonja Lyubomirsky (10/8/10)
Money can buy happiness The Economist (2/5/13)
Money can buy happiness Hacker News, pyduan (13/1/14)
Can ‘happiness economics’ provide a new framework for development? The Guardian, Christian Kroll (3/9/13)
The 10 Things Economics Can Tell Us About Happiness The Atlantic, Derek Thompson (31/5/12)
Financial crisis hits happiness levels BBC News (3/11/13)
Happiness study finds that UK is passing point of peak life satisfaction The Guardian, Larry Elliott (27/11/13)
How GDP became the figure everyone wanted to watch BBC News, Peter Day (16/4/14)
Economic development can only buy happiness up to a ‘sweet spot’ of $36,000 GDP per person Science Daily (27/11/13)

Questions

  1. What does GDP measure?
  2. How suitable a measure of economic progress is growth in GDP?
  3. How can GDP be adjusted to make it a more suitable measure of economic progress?
  4. What are the advantages of using composite indicators of well-being?
  5. What difficulties are there in measuring well-being using composite indicators?
  6. Assuming there were no measurement problems, what indicators would you include in devising the optimum composite indicator of well-being?
  7. Can money buy happiness?
  8. Why do life satisfaction levels peak at around $36,000 (adjusted for Purchasing Power Parity (PPP))?

Politicians often make use of economic statistics to promote their point of view. A good example is a claim made by the UK Prime Minister on 23 January 2014. According to the latest statistics, he said, most British workers have seen their take-home pay rise in real terms. The Labour party countered this by arguing that incomes are not keeping up with prices.

So who is right? Studying economics and being familiar with analysing economic data should help you answer this question. Not surprisingly, the answer depends on just how you define the issue and what datasets you use.

The Prime Minister was referring to National Statistics’ Annual Survey of Hours and Earnings (ASHE). This shows that in April 2013 median gross weekly earnings for full-time employees were £517.5, up 2.25% from £506.10 in 2012, and mean gross weekly earnings for full-time employees were £620.30, up 2.06% from £607.80 in 2012 (see Table 1.1a in the dataset). CPI inflation over this period was 2.4%, representing a real fall in median gross weekly earnings of 0.15% and mean gross weekly earnings of 0.34%.

But when adjustments are made for increases in personal income tax allowances, then, according to the government, except for the richest 10% of the working population, people had an average increase in real take-home pay of 1.1%.

But does this paint the complete picture? Critics of the government’s claim that people are ‘better off’, make the following points.

First, the ASHE dataset is for the year ending April 2013. The ONS publishes other datasets that show that real wages have fallen faster since then. The Earnings and Working Hours datasets, published monthly, currently go up to November 2013. The chart shows real wages from January 2005 to November 2013 (with CPI = 100 in December 2013). You can see that the downward trend resumed after mid 2013. In the year to November 2013, nominal average weekly earnings rose by 0.9%, while CPI inflation was 2.1%. Thus real weekly earnings fell by 1.2% over the period (click here for a PowerPoint of the chart).

Second, there is the question of whether CPI or RPI inflation should be used in calculating real wages. RPI inflation was 2.9% (compared to CPI inflation of 2.4%) in the year to April 2013. The chart shows weekly earnings adjusted for both CPI and RPI.

Third, if, instead of looking at gross real wages, the effect of income tax and national insurance changes are taken into account, then benefit changes ought also to be taken into account. Some benefits, such as tax credits and child benefit were cut in the year to April 2013.

Fourth, looking at just one year (and not even the latest 12 months) gives a very partial picture. It is better to look at a longer period and see what the trends are. The chart shows the period from 2005. Real wages (CPI adjusted) are 8.0% lower than at the peak (at the beginning of 2009) and 5.0% lower than at the time of the election in 2010. The differences are even greater if RPI-adjusted wages are used.

But even if the claim that real incomes are rising is open to a number of objections, it may be that as the recovery begins to gather pace, real incomes will indeed begin to rise. But to assess whether this is so will require a careful analysis of the statistics when they become available.

Articles

UK pay rising in real terms, says coalition BBC News (24/1/14)
Are we really any better off than we were? BBC News, Brian Milligan (24/1/14)
Government take-home pay figures ‘perfectly sensible’ BBC Today Programme, Paul Johnson (24/1/14)
Take-Home Pay ‘Rising Faster Than Prices’ Sky News, Darren McCaffrey (25/1/14)
David Cameron hails the start of ‘recovery for all’ The Telegraph, Peter Dominiczak (23/1/14)
Is take-home pay improving? The answer is anything but simple The Guardian, Phillip Inman and Katie Allen (24/1/14)
Cameron’s ‘good news’ about rising incomes is misleading says Labour The Guardian, Rowena Mason (24/1/14)
The Tories’ claim that living standards have risen is nonsense on stilts New Statesman, George Eaton (24/1/14)
FactCheck: Conservative claims on rising living standards Channel 4 News, Patrick Worrall (25/1/14)
Living standards squeeze continues in UK, says IFS BBC News (31/1/14)
Richest have seen biggest cash income squeeze but poorest have faced higher inflation IFS Press Release (31/1/14)

Data

Average Weekly Earnings dataset ONS (22/1/14)
Annual Survey of Hours and Earnings, 2013 Provisional Results ONS (12/12/13)
Consumer Price Inflation, December 2013 ONS (14/1/14)
Inequality and Poverty Spreadsheet Institute for Fiscal Studies
An Examination of Falling Real Wages, 2010 to 2013 ONS (31/1/14)

Questions

  1. Why are mean weekly earnings higher than median weekly earnings?
  2. Explain the difference between RPI and CPI. Which is the more appropriate index for determining changes in real incomes?
  3. Find out what benefit changes have taken place over the past two years and how they have affected household incomes.
  4. How have gross weekly earnings changed for the different income groups? (The ASHE gives figures for decile groups.)
  5. Which is better for assessing changes in incomes: weekly earnings or hourly earnings?
  6. How would you define a change in living standards? What data would you need to be able to assess whether living standards have increased or decreased?

Conservative Party leaders are considering the benefits of an above-inflation rise in the minimum wage. This policy has been advocated by both the Labour Party and the Liberal Democrats as a means of helping the lowest paid workers. From 2008 to 2013, minimum wage rates fell 5.2% in real terms: in other words, nominal increases were less than the increase in both the RPI and CPI (see UK minimum wage: a history in numbers).

Advocates of a real rise in the minimum wage argue that not only would it help low-paid workers, many of whom are in severe financial difficulties, but it would benefit the Treasury. According to Policy Exchange, a free-market think tank closely aligned to the Conservative Party, increasing the minimum wage by 50p would save the Government an estimated £750m a year through higher tax revenues and lower benefit payments.

But even such a rise to £6.81 would still leave the minimum wage substantially below the living wage of £8.80 in London and £7.65 in the rest of the UK, as estimated by the Living Wage Foundation (see The cost of a living wage). Although many businesses are now paying at least the living wage, many others, especially small businesses, argue that a rise in the minimum wage above the rate of inflation would force them to consider cutting the number of employees or reducing hours for part-time workers.

Meanwhile, in the USA 13 states have raised their minimum wage rates from the 1st January 2014 (see). Some of the rises, however, were tiny: as little as 15 cents. In a couple of cases, the rise is $1. Currently 21 states and DC have minimum wage rates above the Federal level of $7.25 (approx. £4.40); 20 states have rates the same as the Federal level; 4 states have rates below the Federal level. At $9.32 per hour, Washington State has the highest state minimum wage; the lowest rates ($5.15) are in Georgia and Wyoming. In 5 states there is no minimum wage at all. As the ABC article below states:

The piecemeal increases at the local level are occurring amidst a national debate over low wages and income inequality. Fast food and retail workers have been staging protests and walking off work for more than a year, calling for better pay and more hours. Currently, fast food workers nationally earn an average of about $9 per hour.

Workers from McDonald’s, Wendy’s, Burger King and other fast food joints are calling for $15 per hour. Wal-Mart workers organizing as part of the union-backed OUR Walmart aren’t asking for a specific dollar amount increase, but they say it’s impossible to live on the wages they currently receive.

President Obama has been throwing his weight behind the issue. Earlier this month, the President said in a speech that it’s “well past the time to raise the minimum wage that in real terms right now is below where it was when Harry Truman was in office.” But such legislation has a bleaker outlook if it reaches the Republican-led House of Representatives. House Speaker John Boehner has said that raising the minimum wage leads to a pullback in hiring.

So what are the costs and benefits of a significant real rise is the minimum wage on either side of the Atlantic? The articles explore the issues.

Articles: UK
Lib Dems accuse Tories of ‘stealing’ their policy as George Osborne prepares to approve above-inflation rise in minimum wage Independent, Andrew Grice (7/1/14)
Lib Dems accuse Tories of ‘nicking’ party’s policy on low wages The Guardian, Nicholas Watt (7/1/14)
Cut housing benefit? A higher minimum wage would help The Guardian, Patrick Collinson (6/1/14)
Miliband prepares to wage war The Scotsman, Andrew Whitaker (8/1/14)
Increasing the minimum wage is only a half answer to poverty New Statesman, Helen Barnard (8/1/14)
Raise the bar: Economically and socially, Britain needs higher wages Independent (7/1/14)
Another Tory says there’s a ‘strong case’ for raising the minimum wage The Spectator, Isabel Hardman (8/1/14)
Fairness and the minimum wage Financial Times (7/1/14)
Osborne wants above-inflation minimum wage rise BBC News (16/1/14)
George Osborne backs minimum wage rise to £7 an hour The Guardian, Nicholas Watt, (16/1/14)
Minimum wage: in his efforts to defeat Labour, Osborne risks mimicking them The Telegraph, Benedict Brogan (16/1/14)
Minimum wage announcement is not just good economics The Guardian, Larry Elliott (16/1/14)

Articles: USA
13 states raising pay for minimum-wage workers USA Today, Paul Davidson (30/12/13)
Minimum wage increase: Wage to rise in 13 states on Jan. 1 ABC15 (30/12/13)
NJ minimum wage sees $1 bump on Jan. 1 Bloomberg Businessweek, Angela Delli Santi (31/12/13)
Minimum wage hike a job killer ctpost, Rick Torres (7/1/14)
A Business Owners Case For Raising The Minimum Wage Grundy Country Herald, David Bolotsky (7/1/14)
Raising the Minimum Wage Isn’t Just Good Politics. It’s Good Economics, Too. New Republic, Noam Scheiber (31/12/13)
Minimum wage rises across 13 US states Financial Times, James Politi (1/1/14)

Information
National Minimum Wage rates GOV.UK
UK minimum wage: a history in numbers Guardian Datablog
List of minimum wages by country Wikipedia

Questions

  1. Draw two diagrams to demonstrate the direct microeconomic effect of a rise in the minimum wage for two employers, both currently paying the minimum wage, where the first is operating in an otherwise competitive labour market and the other is a monopsonist.
  2. What is meant by the term ‘efficiency wage rate’? How is the concept relevant to the debate about the effects of raising the minimum wage rate?
  3. What are the likely macroeconomic effects of raising the minimum wage rate?
  4. What is the likely impact of raising the minimum wage rate on public finances?
  5. Is raising the minimum wage rate the best means of tackling poverty? Explain your answer.

The ONS has just published two of its major annual publications on income and expenditure in the UK. The first is the Annual Survey of Hours and Earnings (ASHE) and looks at earnings from 1998 to 2013. The second is Family Spending and looks at the level and pattern of household spending each year from 2001 to 2012.

Figures from the two publications show that average real incomes have fallen each year since 2008. This is illustrated in the first chart (click here for a PowerPoint of the chart). They also show that household expenditure in real terms is falling and is at the lowest level since 2006.

Overall picture
In 2012, households’ average weekly disposable income was £597. In 2012 prices, this was down from £621 in 2010 (after the recession) and £659 in 2008 (before the recession).

Household expenditure is at its lowest level in real terms for over a decade. In 2012 households spent on average £489.00 per week. In 2012 prices, this compares with £521.90 in 2001/2 and £533.80 in 2006 (the peak year).

Picture for particular income groups and products
Although average real incomes have fallen, not everyone has been affected the same. For example, not all occupations have seen a fall in incomes (see the table at the end of the BBC article, Earnings rise slower than inflation for fifth year running). Also, as income distribution has become less equal, so those in lower income groups have seen their real incomes fall the fastest. This is partly the result of nominal wages rising less fast for low-paid workers and partly the result of price increases for various essentials, such as food and power being greater than the rate of inflation, and these products constituting a higher proportion of expenditure for poor people than rich people (see Squeezed Britain 2013).

Likewise expenditure hasn’t fallen on all categories of product. Since 2006, real expenditure on clothing and footwear and on housing, fuel and power has risen. The second chart illustrates expenditure on some of the different categories and how the balance has changed (click here for a PowerPoint). This partly reflects the changes in prices of products, with some items, such as electricity, gas and rent having risen faster than the average, and with the demand for such items being relatively price inelastic.

The changing pattern is also partly the result of different income elasticities of demand for different items. Thus, with falling real incomes, the proportion of income spent on products with a low income elasticity of demand is likely to rise.

Expenditure also varies by income group. People on higher incomes tend to spend a greater proportion of their income on things such as leisure activities (e.g. eating out and holidays), motoring, and clothing and footwear. Poorer people tend to spend proportionately more on food and drink, and on electricity, gas and rent (even net of housing benefit). These differences are illustrated in the third chart which looks at certain categories of expenditure of three different disposable income groups: the poorest 10% (decile), the richest 10% and the 6th decile (i.e. the 6th group up from the bottom – the group with average or just above average income) (click here for a PowerPoint for the chart). Detailed figures can be found here, which is Table 3.2 from Family Spending.

Just as the time-series data looking at changing income and expenditure over time can illustrate the different income elasticities of demand for different products, so can the cross-sectional data in Tables 3.1 and 3.2 of Family Spending.

Articles

Earnings rise slower than inflation for fifth year running BBC News (12/12/13)
Energy and rent are now the biggest family bills The Telegraph, Steve Hawkes (11/12/13)
Families spend £489 each week – on what? The Guardian, Mona Chalabi (11/12/13)
Cost of energy hits family budgets, says ONS BBC News (11/12/13)
Family spending interactive: how has it changed? The Guardian Datastore, Mona Chalabi (11/12/13)

Data

Annual Survey of Hours and Earnings, 2013 Provisional Results ONS (12/12/13)
Annual Survey of Hours and Earnings, 2013 Provisional Results: Statistical Bulletin ONS (12/12/13)
Family Spending, 2013 Edition ONS (11/12/13)
Family spending in 2012: Infographic ONS (11/12/13)
Video Summary: Are you an average spender? ONS (11/12/13)
Household expenditure based on COICOP classification, 2001-02 to 2012 at 2012 prices: Table 4.1 of Family Spending ONS (11/12/13)
Detailed household expenditure as a percentage of total expenditure by disposable income decile group, 2012: Table 3.2 of Family Spending ONS (11/12/13)

Questions

  1. What are the determinants of the price elasticity of demand for a product?
  2. What are the limitations of using time-series data of prices and expenditure to estimate the price elasticity of demand for particular products?
  3. What are the determinants of the income elasticity of demand for a product?
  4. What are the limitations of using time-series data of incomes and expenditure to estimate the income elasticity of demand for particular products?
  5. What are the limitations of using cross-sectional data of expenditure of different income groups to estimate the income elasticity of demand for particular products?
  6. How do your answers to the above questions demonstrate the significance of the ceteris paribus (other things being equal) assumption?
  7. If real earnings are falling, why are people able to spend more in real terms?
  8. What are the macroeconomic implications of increased consumer spending at a time of falling real incomes?
  9. How could increased consumer spending help to reverse the fall in real incomes (a) in the short run (b) over a period of a few years? Distinguish between the effects on aggregate demand and aggregate supply.

Household debt in the UK has reached a record level. Individuals now owe £1430 billion. This compares with the UK’s general government debt of £1443 billion – also at a record level. These figures are illustrated in the chart (click here for a PowerPoint).

But these figures are nominal. If you look at the real figures (i.e. corrected for inflation), household debt has been falling. In today’s prices, household debt peaked at £1668 billion in March 2008. Also, if you look at household debt as a proportion of GDP, it fell from a peak of 100.96% in May 2009 to 87.43% in July 2013 (see chart). However, since then it has begun rising again, standing at 87.65% in October 2013.

So has household debt become less of a problem? In aggregate terms, the answer is probably yes. However, it is too early to know whether a continuing recovery in the economy will be fuelled by real debt rising again and whether the recovery will encourage people to take on higher levels of debt?

For many people, however, debt has become more and more of a problem. In other words, the aggregate figures conceal what has happened in terms of the distribution of debt. According to a Centre for Social Justice (CSJ) study:

Indebted households in the poorest 10 per cent of the country have average debts more than four times their annual income. Average debt repayments within this group amounted to nearly half their gross monthly income.

And the poorest families, often with very poor credit ratings, are frequently forced to turn to payday lenders, charging sky-high interest rates (see Capping interest rates on payday loans: a government U-turn?).

As mainstream banks reduced access to credit following the financial crash, the market for short-term high-cost credit (payday lenders, pawnbrokers, rent-to-buy and doorstop lenders) increased dramatically and is now worth £4.8 billion a year.

Payday lenders have increased business from £900 million in 2008/09 to just over £2 billion (or around 8 million loans) in 2011/12. Around half of payday loan customers reported taking out the money because it was the only form of credit they could get. The number of people going to loan sharks is also said to have increased – the most recent estimate puts it at 310,000 people.

With rising energy and food bills hitting the poorest hardest, this section of the population could find debt levels continuing to rise, especially if interest rates rise. As Chris Pond, who chaired the CJS study, stated:

The costs to those affected, in stress and mental disorders, relationship breakdown and hardship is immense. But so too is the cost to the nation, measured in lost employment and productivity and in an increased burden on public services.

Articles

£1,430,000,000,000 (that’s £1.43 trillion): Britain’s personal debt timebomb Independent, Andrew Grice (20/11/13)
Average household debt ‘doubled in last decade’ The Telegraph, Edward Malnick (20/11/13)
UK household debt hits record high BBC News (29/11/13)
UK debt crisis: poorest face ‘perfect storm’ Channel 4 News (20/11/13)
One in five struggle with serious debt The Telegraph, Nicole Blackmore (27/11/13)
It doesn’t matter what we do with Wonga: personal debt is about to rocket The Telegraph, Tim Wigmore (26/11/13)
Poorest families ‘need more help over debt’ BBC News (20/11/13)

Report

More than 5,000 people a year ‘homeless’ as household debt crisis deepens, CSJ warns Centre for Social Justice Press Release (20/11/13)

Data

Monthly amounts outstanding of total (excluding the Student Loans Company) sterling net lending to individuals and housing associations (in sterling millions) seasonally adjusted Bank of England
Public Sector Finances First Release – Public Sector Consolidated Gross Debt ONS
Household debt (Economics Indicators update) House of Commons Library (29/11/13)

Questions

  1. What are the macroeconomic implications of rising levels of household debt?
  2. Why may an economy which has high levels of household debt be more subject to cyclical fluctuations in real GDP?
  3. What are the problems of having a recovery driven largely by increased consumer expenditure?
  4. Why have many people in the poorest sectors of society found their debt levels rising the fastest?
  5. Why may rising levels of debt of the most vulnerable people make it harder for the Bank of England to use conventional monetary policy if recovery becomes established?
  6. What policies could be pursued to try to reduce the debts of the poorest people?
  7. Discuss the effectiveness of these various policies.