Economists are often criticised for making inaccurate forecasts and for making false assumptions. Their analysis is frequently dismissed by politicians when it contradicts their own views.
But is this fair? Have economists responded to the realities of the global economy and to the behaviour of people, firms, institutions and government as they respond to economic circumstances? The answer is a qualified yes.
Behavioural economics is increasingly challenging the simple assumption that people are ‘rational’, in the sense that they maximise their self interest by weighing up the marginal costs and benefits of alternatives open to them. And macroeconomic models are evolving to take account of a range of drivers of global growth and the business cycle.
The linked article and podcast below look at the views of 2019 Nobel Prize-winning economist Esther Duflo. She has challenged some of the traditional assumptions of economics about the nature of rationality and what motivates people. But her work is still very much in the tradition of economists. She examines evidence and sees how people respond to incentives and then derives policy implications from the analysis.
Take the case of the mobility of labour. She examines why people who lose their jobs may not always move to a new one if it’s in a different town. Partly this is for financial reasons – moving is costly and housing may be more expensive where the new job is located. Partly, however, it is for reasons of identity. Many people are attached to where they currently live. They may be reluctant to leave family and friends and familiar surroundings and hope that a new job will turn up – even if it means a cut in wages. This is not irrational; it just means that people are driven by more than simply wages.
Duflo is doing what economists typically do – examining behaviour in the light of evidence. In her case, she is revisiting the concept of rationality to take account of evidence on what motivates people and the way they behave.
In the light of workers’ motivation, she considers the implications for the gains from trade. Is free trade policy necessarily desirable if people lose their jobs because of cheap imports from China and other developing countries where labour costs are low?
The answer is not a clear yes or no, as import-competing industries are only part of the story. If protectionist policies are pursued, other countries may retaliate with protectionist policies themselves. In such cases, people working in the export sector may lose their jobs.
She also looks at how people may respond to a rise or cut in tax rates. Again the answer is not clear cut and an examination of empirical evidence is necessary to devise appropriate policy. Not only is there an income and substitution effect from tax changes, but people are motivated to work by factors other than take-home pay. Likewise, firms are encouraged to invest by factors other than the simple post-tax profitability of investment.
- In traditional ‘neoclassical’ economics, what is meant by ‘rationality’ in terms of (a) consumer behaviour; (b) producer behaviour?
- How might the concept of rationality be expanded to take into account a whole range of factors other than the direct costs and benefits of a decision?
- What is meant by bounded rationality?
- What would be the effect on workers’ willingness to work more or fewer hours as a result of a cut in the marginal income tax rate if (a) the income effect was greater than the substitution effect; (b) the substitution effect was greater than the income effect? Would your answers to (a) and (b) be the opposite in the case of a rise in the marginal income tax rate?
- Give some arguments that you consider to be legitimate for imposing controls on imports in (a) the short run; (b) the long run. How might you counter these arguments from a free-trade perspective?
With the growing recognition of the global climate emergency (see also), attention is being increasingly focused on policies to tackle global warming.
In the October version of its journal, Fiscal Monitor, the IMF argues that carbon taxes can play a major part in meeting the goal of achieving net zero carbon emissions by 2050 or earlier.
As the blog accompanying the journal states:
Global warming has become a clear and present threat. Actions and commitments to date have fallen short. The longer we wait, the greater the loss of life and damage to the world economy. Finance ministers must play a central role to champion and implement fiscal policies to curb climate change. To do so, they should reshape the tax system and fiscal policies to discourage carbon emissions from coal and other polluting fossil fuels.
The effect of a carbon tax on production
The argument is that carbon emissions represent a massive negative externality, where the costs are borne largely by people other than the emitters. Taxes can internalise these externalities. The effect would be to raise the price of carbon-emitting activities and reduce the quantity consumed and hence produced.
The diagram illustrates the argument. It takes the case of carbon emissions from coal-fired electricity generation in a large country. To keep the analysis simple, it is assumed that all electricity in the country is generated from coal-fired power stations and that there are many such power stations, making the market perfectly competitive.
It is assumed that all the benefits from electricity production accrue solely to the consumers of electricity (i.e. there are no external benefits from consumption). Marginal private and marginal social benefits of the production of electricity are thus the same (MPB = MSB). The curve slopes downwards because, with a downward-sloping demand for electricity, higher output results in a lower marginal benefit (diminishing marginal utility).
Competitive market forces, with producers and consumers responding only to private costs and benefits, will result in a market equilibrium at point a in the diagram: i.e. where demand equals supply. The market equilibrium price is P0 while the market equilibrium quantity is Q0. However the presence of external costs in production means that MSC > MPC. In other words, MEC = b – a.
The socially optimal output would be Q* where P = MSB = MSC, achieved at the socially optimal price of P*. This is illustrated at point d and clearly shows how external costs of production in a perfectly competitive market result in overproduction: i.e. Q0 > Q*. From society’s point of view, too much electricity is being produced and consumed.
If a carbon tax of d – c is imposed on the electricity producers, it will now be in producers’ interests to produce at Q*, where their new private marginal costs (including tax) equals their marginal private benefit.
Assessing the benefits of carbon taxes
The diagram shows the direct effect on production of electricity. With widespread carbon taxes, there would be similar direct effects on other industries that emit carbon, and also on consumers, faced with higher fuel prices. In the UK, for example, there are currently higher taxes on high-emissions vehicles than on low-emissions ones.
However, there are other effects of carbon taxes which contribute to the reduction in carbon emissions over the longer term. First, firms will have an incentive to invest in green energy production, such as wind, solar and hydro. Second, it will encourage R&D in green energy technology. Third, consumers will have an incentive to use less electricity by investing in more efficient appliances and home insulation and making an effort to turn off lights, the TV, computers and so on.
People may object to paying more for electricity, gas and motor fuel, but the tax revenues could be invested in cheaper clean public transport, home insulation and public services generally, such as health and education. This could be part of a policy of redistribution, with the tax revenues being spent on alleviating poverty. Alternatively, other taxes could be cut.
The IMF estimates that to restrict global warming to 2°C (a target seen as too modest by many environmentalists), large emitting countries ‘should introduce a carbon tax set to rise quickly to $75 a ton in 2030’.
This would mean household electric bills would go up by 43 per cent cumulatively over the next decade on average – more in countries that still rely heavily on coal in electricity generation, less elsewhere. Gasoline would cost 14 percent more on average.
It gives the example of Sweden, which has a carbon tax of $127 per ton. This has resulted in a 25% reduction in emissions since 1995, while the economy has expanded 75% since then.
Limits of carbon taxes
Although carbon taxes can make a significant contribution to combatting global warming, there are problems with their use.
First, it may be politically popular for governments not to impose them, or raise them, with politicians arguing that they are keen to help ‘struggling motorists’ or poor people ‘struggling to keep their homes warm’. In the UK, successive governments year after year have chosen not to raise road fuel taxes, despite a Fuel Price Escalator (replaced in 2011 by a Fuel Duty Stabiliser) designed to raise fuel taxes each year by more than inflation. Also, governments fear that higher energy prices would raise costs for their country’s industries, thereby damaging exports.
Second, it is difficult to measure the marginal external costs of CO2 emissions, which gives ammunition to those arguing to keep taxes low. In such cases it may be prudent, if politically possible, to set carbon taxes quite high.
Third, they should not be seen as a sufficient policy on their own, but as just part of the solution to global warming. Legislation to prevent high emissions can be another powerful tool to prevent activities that have high carbon emissions. Examples include banning high-emission vehicles; a requirement for coal-fired power stations and carbon emitting factories to install CO2 scrubbers (filters); and tougher planning regulations for factories that emit carbon. Education to encourage people to cut their own personal use of fossil fuels is another powerful means of influencing behaviour.
A cap-and-trade system, such as the European Emissions Trading Scheme would be an alternative means of cutting carbon efficiently. It involves setting quotas for emissions and allowing firms which manage to cut emissions to sell their surplus permits to less efficient firms. This puts a price pressure on firms to be more efficient. But the quotas (the ‘cap’) must be sufficiently tight if emissions are going to be cut to desired levels.
But, despite being just one possible policy, carbon taxes can make a significant contribution to combatting global warming.
- Fiscal Policies to Curb Climate Change
IMF blog, Vitor Gaspar, Paolo Mauro, Ian Parry and Catherine Pattillo (10/10/19)
- Energy bills will have to rise sharply to avoid climate crisis, says IMF
The Guardian, Larry Elliott (10/10/19)
- Huge global carbon tax hike needed in next 10 years to head off climate disaster, says IMF
Independent, Chris Mooney and Andrew Freedman (11/10/19)
- World urgently needs to quicken steps to reduce global warming – IMF
Reuters, Lindsay Dunsmuir (10/10/19)
- The Case for a Goldilocks Carbon Tax
Forbes, Roger Pielke (13/9/19)
- The world needs a massive carbon tax in just 10 years to limit climate change, IMF says
Washington Post, Chris Mooney and Andrew Freedman (10/10/19)
- People like the idea of a carbon tax – if the money is put to good use
New Scientist, Michael Le Page (18/9/19)
- The IMF thinks carbon taxes will stop the climate crisis. That’s a terrible idea.
The Guardian, Kate Aronoff (12/10/19)
- Firms ignoring climate crisis will go bankrupt, says Mark Carney
The Guardian, Damian Carrington (13/10/19)
- How central banks can tackle climate change
Financial Times, The editorial board (31/10/19)
- World Economic Forum: Climate change action needed to avoid societal ‘collapse’ says minister
The National, UAE, Anna Zacharias (3/11/19)
- Riots and trade wars: Why carbon taxes will not solve climate crisis
Recharge, Leigh Collins (31/10/19) (Part 1)
- The plethora of effective alternatives to carbon pricing
Recharge, Leigh Collins (31/10/19) (Part 2)
- Are these the real reasons why Big Oil wants a carbon tax?
Recharge, Leigh Collins (31/10/19) (Part 3)
- Do we need carbon taxes in an era of cheap renewables?
Recharge, Leigh Collins (31/10/19) (Part 4)
- How to Mitigate Climate Change
IMF Fiscal Monitor, Ian Parry (team leader), Thomas Baunsgaard, William Gbohoui, Raphael Lam, Victor Mylonas, Mehdi Raissi, Alpa Shah and Baoping Shang (October 2019)
- Draw a diagram to show how subsidies can lead to the optimum output of green energy.
- What are the political problems in introducing or raising carbon taxes? Examine possible solutions to these problems
- Choose two policies for reducing carbon emissions other than using carbon taxes? Compare their effectiveness with carbon taxes.
- How is game theory relevant to getting international agreement on cutting greenhouse gas emissions? Why is there likely to be a prisoners’ dilemma problem in reaching and sticking to such agreements? How might the problem of a prisoners’ dilemma be overcome in such circumstances?
With university fees for home students in England of £9250 per year and with many students receiving maintenance loans of around £9000 per year, many students are graduating with debts in excess of £50 000. Loans are repaid at a marginal rate of 9% on incomes over £25 716.
Many students also study for a masters degree. The average fee for a taught, classroom-based masters (MA) is £7392 and for a laboratory-based masters (MSc) is £8167 but can be considerably higher at some prestigious universities where demand is high. Government loans of up to £10 906 are available to contribute towards fees and maintenance. These are paid back at a marginal rate of 6% for people earning over £21 000, giving a combined marginal rate of 15% for first and masters degrees.
For high earners on the 40% income tax rate, the combined marginal rate of payment out of income is 40% tax, plus 2% national insurance, plus 15% for those with undergraduate and masters loans. This gives a combined marginal rate of 57%.
Average student debt in England is higher even than in the USA, where the average is $37 000. US university courses are more expensive than in the UK, costing an average of $34 000 per year in tuition alone. But undergraduates can borrow less. They can borrow between $5500 and $12 500 per year in federal loans towards both fees and maintenance, and some private loans are also available. Most students do some paid work during their studies to make up the difference or rely on parents contributing. Parental contributions mean that students from poor families end up owing more. According to a Guardian article:
Race is a huge factor. Black students owe an average of $7400 more than white students when they graduate, the Brookings Institution found. After graduation, the debt gap continues to widen. Four years after graduation, black graduates owe an average of nearly $53 000 – nearly double that of white graduates.
Student debt looks to become one of the key issues in the 2020 US presidential election.
Pressure to cancel student fees and debt in the USA
Most of the Democratic candidates are promising to address student fees and debt. Student debt, they claim, places an unfair burden on the younger generation and makes it hard for people to buy a house, or car or other major consumer durables. This also has a dampening effect on aggregate demand.
The most radical proposal comes from Bernie Sanders. He has vowed, if elected, to abolish student fees and to cancel all undergraduate and graduate debt of all Americans. Other candidates are promising to cut fees and/or debt.
Although most politicians and commentators agree that the USA has a serious problem of student debt, there is little agreement on what, if anything, to do about it. There are already a number of ways in which student debt can be written off or reduced. For example, if you work in the public sector for more than 10 years, remaining debt will be cancelled. However, none of the existing schemes is as radical as that being proposed by many Democrats.
Criticisms of the Democrats’ plans are mainly of two types.
The first is the sheer cost. Overall debt is around $1.6tn. What is more, making student tuition free would place a huge ongoing burden on government finances. Bernie Sanders proposes introducing a financial transactions tax on stock trading. This would be similar to a Tobin tax (sometimes dubbed a ‘Robin Hood tax’) and would include a 0.5% tax on stock transactions, a 0.1% tax on bond trades and a 0.005% tax on transactions in derivatives. He argues that the public bailed out the financial sector in 2008 and that it is now the turn of the financial sector to come to the aid of students and graduates.
The other type of criticism concerns the incentive effects of the proposal. The core of the criticism is that loan forgiveness involves moral hazard.
The moral hazard of loan forgiveness
The argument is that cancelling debt, or the promise to do so, encourages people to take on more debt. Generally, moral hazard occurs when people are protected from the consequences of their actions and are thus encouraged to make riskier decisions. For example, if you are ensured against theft, you may be less careful with your belongings. As the Orange County Register article linked below states:
If the taxpayers pay the debts of everyone with outstanding student loans, how will that affect the decisions made by current students thinking about their choices for financing higher education? What’s the message? Borrow as much as you can and wait for the debt to be canceled during the next presidential primary campaign?
Not only would more students be encouraged to go to college, but they would be encouraged to apply for more costly courses if they were free.
Universities would be encouraged to exaggerate their costs to warrant higher fees charged to the government. The government (federal, state or local) would have to be very careful in auditing courses to ensure costs were genuine. Universities could end up being squeezed for finance as government may try to cut payments by claiming that courses were overpriced.
Even if fees were not abolished, cancelling debts would encourage students to take on larger debt, if that was to be cleared at some point in the future. What is more, students (or their parents) who could afford to pay, would choose to borrow the money instead.
But many countries do have free or highly subsidised higher education. Universities are given grants which are designed to reflect fair costs.
- Assess the arguments for abolishing or substantially reducing student fees.
- Assess the arguments against abolishing or substantially reducing student fees.
- Assess the arguments for writing off or substantially reducing student debt.
- Assess the arguments against writing off or substantially reducing student debt.
- If it were decided to cancel student debt, would it be fair to pay students back for any debt they had already paid off?
- Does tackling the problem of student debt necessarily lead to a redistribution of wealth/income?
- Give some other examples of moral hazard.
- If student fees were abolished, would there be any problem of adverse selection? If so, how could this be overcome?
- Find out what the main UK parties are advocating about student fees and debt in the nations of the UK for home and non-home students. Provide a critique of each of their policies.
The latest UK house price index reveals that annual house price growth in the UK slowed to just 1.2 per cent in May. This is the lowest rate of growth since January 2013. This is being driven, in part, by the London market where annual house price inflation rates have now been negative for 15 consecutive months. In May the annual rate of house price inflation in London fell to -4.4 per cent, it lowest since August 2009 as the financial crisis was unfolding. However, closer inspection of the figures show that while many other parts of the country continue to experience positive rates of annual house price inflation, once general inflation is accounted for, there is widespread evidence of widespread real house price deflation.
The average UK house price in May 2019 was £229,000. As Chart 1 shows, this masks considerable differences across the UK. In England the average price was £246,000 (an annual increase of 1.0 per cent), in Scotland it was £153,000 (an increase of 2.8 per cent), in Wales £159,000 (an increase of 3.0 per cent) and in Northern Ireland it was £137,000 (an increase of 2.1 per cent). (Click here to download a PowerPoint copy of the chart.)
The London market distorts considerably the English house price figures. In London the average house price in May 2019 was £457,000 (an annual decrease of 4.4 per cent). House prices were lowest in the North East region of England at £128,000. The North East was the only other English region alongside London to witness a negative rate of annual house price inflation, with house prices falling in the year to May 2019 by 0.7 per cent.
Chart 2 allows us to see more readily the rates of house price growth. It plots the annual rates of house price inflation across London, the UK and its nations. What is readily apparent is the volatility of house price growth. This is evidence of frequent imbalances between the flows of property on to the market to sell (instructions to sell) and the number of people looking to buy (instructions to buy). An increase in instructions to buy relative to those to sell puts upwards pressure on prices whereas an increase in the relative number of instructions to sell puts downward pressure on prices. (Click here to download a PowerPoint copy of the chart.)
Despite the volatility in house prices, the longer-term trend in house prices is positive. The average annual rate of growth in house prices between January 1970 and May 2019 in the UK is 9.1 per cent. For England the figure is 9.4 per cent, for Wales 8.8 per cent, for Scotland 8.5 per cent and for Northern Ireland 8.3 per cent. In London the average rate of growth is 10.4 per cent per annum.
As Chart 3 illustrates, the longer-term growth in actual house prices cannot be fully explained by the growth in consumer prices. It shows house price values as if consumer prices, as measured by the Retail Prices Index (RPI), were fixed at their January 1987 levels. We see real increases in house prices or, expressed differently, in house prices relative to consumer prices. In real terms, UK house prices were 3.6 times higher in May 2019 compared to January 1970. For England the figure is 4.1 times, for Wales 3.1 times, for Scotland 2.9 times and for Northern Ireland 2.1 times. In London inflation-adjusted house prices were 5.7 times higher. (Click here to download a PowerPoint copy of the chart.)
The volatility in house prices continues to be evident when adjusted for changes in consumer prices. The UK’s annual rate of real house price inflation was as high as 40 per in January 1973, yet, on the other hand, in June 1975 inflation-adjusted house prices were 16 per cent lower than a year earlier. Over the period from January 1970 to May 2019, the average annual rate of real house price inflation was 3.2 per cent. Hence house prices have, on average, grown at an annual rate of consumer price inflation plus 3.2 per cent.
Chart 4 shows annual rates of real house price inflation since 2008 and, hence, from around the time the financial crisis began to unfold. The period is characterised by acute volatility and with real house prices across the UK falling at an annual rate of 16 per cent in 2009 and by as much 29 per cent in Northern Ireland. (Click here to download a PowerPoint copy of the chart.)
The UK saw a rebound in nominal and real house price growth in the period from 2013, driven by a strong surge in prices in London and the South East, and supported by government initiatives such as Help to Buy designed to help people afford to buy property. But house price growth then began to ease from early/mid 2016. Some of the easing may be partly due to any excessive fizz ebbing from the market, especially in London, and the impact on the demand for buy-to-let investments resulting from reductions in tax relief on interest payments on buy-to-let mortgages.
However, the housing market is notoriously sensitive to uncertainty, which is not surprising when you think of the size of the investment people are making when they enter the market. The uncertainty surrounding Brexit and the UK’s future trading relationships will have been a drag on demand and hence on house prices.
Chart 4 shows that by May 2019 all the UK nations were experiencing negative rates of real house price inflation, despite still experiencing positive rates of nominal house price inflation. In Wales the real annual house price inflation rate was -0.1 per cent, in Scotland -0.2 per cent, in Northern Ireland -0.9 per cent and in England -2.0 per cent. Meanwhile in London, where annual house price deflation has been evident for 15 consecutive months, real house prices in May 2019 were falling at an annual rate of 7.2 per cent.
Going forward the OBR’s Fiscal Risks Report predicts that, in the event of a no-deal, no-transition exit of the UK from the European Union, nominal UK house prices would fall by almost 10 per cent between the start of 2019 and mid-2021. This forecast is driven by the assumption that the UK would enter a year-long recession from the final quarter of 2019. It argues that property transactions and prices ‘move disproportionately’ during recessions. (See John’s blog The costs of a no-deal Brexit for a fuller discussion of the economics of a no-deal Brexit). The danger therefore is that the housing market becomes characterised by both nominal and real house price falls.
- Explain the difference between a rise in the rate of house price inflation a rise in the level of house prices.
- Explain the difference between nominal and real house prices.
- If nominal house prices rise can real house price fall? Explain your answer.
- What do you understand by the terms instructions to buy and instructions to sell?
- What factors are likely to affect the levels of instructions to buy and instructions to sell?
- How does the balance between instructions to buy and instructions to sell affect house prices?
- How can we differentiate between different housing markets? Illustrate your answer with examples.
Confidence figures suggest that sentiment weakened across several sectors in June with significant falls recorded in retail and construction. This is consistent with the monthly GDP estimates from the ONS which suggest that output declined in March and April by 0.1 per cent and 0.4 per cent respectively. The confidence data point to further weakness in growth down the line. Furthermore, it poses the risk of fuelling a snowball effect with low growth being amplified and sustained by low confidence.
Chart 1 shows the confidence balances reported by the European Commission each month since 2007. It highlights the collapse in confidence across all sectors around the time of the financial crisis before a strong and sustained recovery in the 2010s. However, in recent months confidence indicators have eased significantly, undoubtedly reflecting the heightened uncertainty around Brexit. (Click here to download a PowerPoint copy of the chart.)
Between June 2016 and June 2019, the confidence balances have fallen by at least 8 percentage points. In the case of the construction the fall is 14 points while in the important service sector, which contributes about 80 per cent of the economy’s national income, the fall is as much as 15 points.
Changes in confidence are thought, in part, to reflect levels of economic uncertainty. In particular, they may reflect the confidence around future income streams with greater uncertainty pulling confidence down. This is pertinent because of the uncertainty around the UK’s future trading relationships following the 2016 referendum which saw the UK vote to leave the EU. In simple terms, uncertainty reduces the confidence people and businesses have when forming expectations of what they can expect to earn in the future.
Greater uncertainty and, hence, lower confidence tend to make people and businesses more prudent. The caution that comes from prudence counteracts the inherent tendency of many of us to be impatient. This impatience generates an impulse to spend now. On the other hand, prudence encourages us to take actions to increase net worth, i.e. wealth. This may be through reducing our exposure to debt, perhaps by looking to repay debts or choosing to borrow smaller sums than we may have otherwise done. Another option may be to increase levels of saving. In either case, the effect of greater prudence is the postponement of spending. Therefore, in times of high uncertainty, like those of present, people and businesses would be expected to want to have greater financial resilience because they are less confident about what the future holds.
To this point, the saving ratio – the proportion of disposable income saved by households – has remained historically low. In Q1 2019 the saving ratio was 4.4 per cent, well below its 60-year average of 8.5 per cent. This appears to contradict the idea that households respond to uncertainty by increasing saving. However, at least in part, the squeeze seen over many years following the financial crisis on real earnings, i.e. inflation-adjusted earnings, restricted the ability of many to increase saving. With real earnings having risen again over the past year or so, though still below pre-crisis levels, households may have taken this opportunity to use earnings growth to support spending levels rather than, as we shall see shortly, looking to borrow.
Another way in which the desire for greater financial resilience can affect behaviour is through the appetite to borrow. In the case of consumers, it could reduce borrowing for consumption, while in the case of firms it could reduce borrowing for investment, i.e. spending on capital, such as that on buildings and machinery. The reduced appetite for borrowing may also be mirrored by a tightening of credit conditions by financial institutions if they perceive lending to be riskier or want to increase their own financial capacity to absorb future shocks.
Chart 2 shows consumer confidence alongside the annual rate of growth of consumer credit (net of repayments) to individuals by banks and building societies. Consumer credit is borrowing by individuals to finance current expenditure on goods and services and it comprises borrowing through credit cards, overdraft facilities and other loans and advances, for example those financing the purchase of cars or other large ticket items. (Click here to download a PowerPoint copy of the chart.)
The chart allows us to view the confidence-borrowing relationship for the past 25 years or so. It suggests a fairly close association between consumer confidence and consumer credit growth. Whether changes in confidence occur ahead of changes in borrowing is debatable. However, the easing of confidence following the outcome of the EU referendum vote in June 2016 does appear to have led subsequently to an easing in the annual growth of consumer credit. From its peak of 10.9 per cent in the autumn of 2016, the annual growth rate of consumer credit dropped to 5.6 per cent in May 2019.
The easing of credit growth helps put something of a brake on consumer spending. It is, however, unlikely to affect all categories of spending equally. Indeed, the ONS figures for May on retail sales shows a mixed picture for the retail sector. Across the sector as a whole, the 3 month-on-3 month growth rate for the volume of purchases stood at 1.6 per cent, having fallen as low as 0.1 percent in December of last year. However, the 3 month-on-3 month growth rate for spending volumes in department stores, which might be especially vulnerable to a slowdown in credit, fell for the ninth consecutive month.
Going forward, the falls in confidence might be expected to lead to further efforts by the household sector, as well as by businesses, to ensure their financial resilience. The vulnerability of households, despite the slowdown in credit growth, so soon after the financial crisis poses a risk for a hard landing for the sector. After falls in national output in March and April, the next monthly GDP figures to be released on 10 July will be eagerly anticipated.
- Which of the following statements is likely to be more accurate: (a) Confidence drives economic activity or (b) Economic activity drives confidence?
- Explain the difference between confidence as a source of economic volatility as compared to an amplifier of volatility?
- Discuss the links between confidence, economic uncertainty and financial resilience.
- Discuss the ways in which people and businesses could improve their financial resilience to adverse shocks.
- What are the potential dangers to the economy of various sectors being financially distressed or exposed?