Tag: confidence

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The UK household-sector puzzle: A low saving ratio but fragile confidence

The latest consumer confidence figures from the European Commission point to consumer confidence in the UK remaining at around its long-term average. Despite this, confidence is markedly weaker than before the outcome of the EU referendum. Yet, the saving ratio, which captures the proportion of disposable income saved by the household sector, is close to its historic low. We consider this apparent puzzle and whether we can expect the saving ratio to rise.

The European Commission’s consumer confidence measure is a composite indicator based on the balance of responses to 4 forward-looking questions relating to the financial situation of households, the general economic situation, unemployment expectations and savings.

Chart 1 shows the consumer confidence indicator for the UK. The long-term average (median) of –6.25 shows that negative responses across the four questions typically outweigh positive responses. In October 2018 the confidence balance stood at –5.2, essentially unchanged from its September value of –5.8. While above the long-term average, recent values mark a weakening in confidence from levels before the EU referendum. At the beginning of 2016 the aggregate confidence score was running at around +4. (Click here to download a PowerPoint of the chart.)

Chart 1 shows two periods where consumer confidence fell markedly. The first was in the early 1990s. In 1990 the UK joined the Exchange Rate Mechanism (ERM). This was a semi-fixed exchange rate system whereby participating EU countries allowed fluctuations against each other’s currencies, but only within agreed bands, while being able to collectively float freely against all other currencies. In attempting to staying in the ERM, the UK was obliged to raise interest rates in order to protect the pound. The hikes to rates contributed to a significant dampening of aggregate demand and the economy slid into recession. Britain crashed out of the ERM in September 1992.

The second period of declining confidence was during the global financial crisis in the late 2000s. The retrenchment among financial institutions meant a significant tightening of credit conditions. This too contributed to a significant dampening of aggregate demand and the economy slid into recession. Whereas the 1992 recession saw the UK national output contract by 2.0 percent, this time national output fell by 6.3 per cent.

The collapses in confidence from 1992 and from 2007/08 are likely to have helped propagate the effects of the fall in aggregate demand that were already underway. The weakening of confidence in 2016 is perhaps a better example of a ‘confidence shock’, i.e. a change in aggregate demand originating from a change in confidence. Nonetheless, a fall in confidence, whether it amplifies existing shocks or is the source of the shock, is often taken as a signal of greater economic uncertainty. If we take this greater uncertainty to reflect a greater range of future income outcomes, including potential income losses, then households may look to insure themselves by increasing current saving.

It is usual to assume that people suffer from diminishing marginal utility of total consumption. This means that while total satisfaction increases as we consume more, the additional utility from consuming more (marginal utility) decreases. An implication of this is that a given loss of consumption reduces utility by more than an equivalent increase in consumption increases utility. This explains why people prefer more consistent consumption levels over time and so engage in consumption smoothing. The utility, for example, from an ‘average’ consumption level across two time periods, is higher, than the expected utility from a ‘low’ level of consumption in period 1 and a ‘high’ level of consumption in period 2. This is because the loss of utility from a ‘low’ level of consumption relative to the ‘average’ level is greater than the additional utility from the ‘high’ level relative to the ‘average’ level.

If greater uncertainty, such as that following the EU referendum, increases the range of possible ‘lower’ consumption values in the future even when matched by an increase in the equivalent range of possible ‘higher’ consumption values, then expected future utility falls. The incentive therefore is for people to build up a larger buffer stock of saving to minimise utility losses if the ‘bad state’ occurs. Hence, saving which acts as a from of self-insurance in the presence of uncertainty is known as buffer-stock saving or precautionary saving.

Chart 2 plots the paths of the UK household-sector saving ratio and consumer confidence. The saving ratio approximates the proportion of disposable income saved by the household sector. What we might expect to see if more uncertainty induces buffer-stock saving is for falls in confidence to lead to a rise in the saving ratio. Conversely, less uncertainty as proxied by a rise in confidence would lead to a fall in the saving ratio. (Click here to download a PowerPoint of the chart.)

The chart provides some evidence that of this. The early 1990s and late 2000s certainly coincided with both waning confidence and a rising saving ratio. The saving ratio rose to as high as 15.2 per cent in 1993 and 12.0 per cent in 2009. Meanwhile the rising confidence seen in the late 1990s coincided with a fall in the saving ratio to 4.7 per cent in 1999.

As Chart 2 shows, the easing of confidence since 2016 has coincided with a period where the saving ratio has been historically low. Across 2017 the saving ratio stood at just 4.5 per cent. In the first half of 2018 the ratio averaged just 4.2 per cent. While the release of the official figures for the saving ratio are less timely than those for confidence, the recent very low saving ratio may be seen to raise concerns. Can softer confidence data continue to co-exist with such a low saving ratio?

There are a series of possible explanations for the recent lows in the saving ratio. On one hand, the rate of price inflation has frequently exceeded wage inflation in recent years so eroding the real value of earnings. This has stretched household budgets and limited the amount of discretionary income available for saving. On the other hand, unemployment rates have fallen to historic lows. The rate of unemployment in the three months to August stood at 4 per cent, the lowest since 1975. Unemployment expectations are important in determining levels of buffer stock saving because of the impact of unemployment on household budgets.

Another factor that has fuelled the growth of spending relative to income, has been the growth of consumer credit. In the period since July 2016, the annual rate of growth of consumer credit, net of repayments, has averaged 9.7 per cent. Behavioural economists argue that foregoing spending can be emotionally painful. Hence, spending has the potential to exhibit more stickiness than might otherwise be predicted in a more uncertain environment or in the anticipation of income losses. Therefore, the reluctance or inability to wean ourselves off credit and spending might be a reason for the continuing low saving ratio.

We wait to see whether the saving ratio increases over the coming months. However, for now, the UK household sector appears to be characterised by low saving and fragile confidence. Whether or not this is a puzzle, is open to question. Nonetheless, it does appear to carry obvious risks should weaker income growth materialise.

Articles

Questions

  1. Draw up a series of factors that you think might affect consumer confidence.
  2. Which of the following statements is likely to be more accurate: (a) Consumer confidence drives economic activity or (b) Economic activity drives consumer confidence?
  3. What macroeconomic indicators would those compiling the consumer confidence indicator expect the indicator to predict?
  4. How does the diminishing marginal utility of consumption (or income) help explain why people engage in buffer stock saving (precautionary saving)?
  5. How might uncertainty affect consumer confidence?
  6. How does greater income uncertainty affect expected utility? What affect might this have on buffer stock saving?
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Lehman Brothers: have we learned the lessons 10 years on?

Ten years ago, the financial crisis deepened and stock markets around the world plummeted. The trigger was the collapse of Lehman Brothers, the fourth-largest US investment bank. It filed for bankruptcy on September 15, 2008. This was not the first bank failure around that time. In 2007, Northern Rock in the UK (Aug/Sept 2007) had collapsed and so too had Bear Stearns in the USA (Mar 2008).

Initially there was some hope that the US government would bail out Lehmans. But when Congress rejected the Bank Bailout Bill on September 29, the US stock market fell sharply, with the Dow Jones falling by 7% the same day. This was mirrored in other countries: the FTSE 100 fell by 15%.

At the core of the problem was excessive lending by banks with too little capital. What is more, much of the capital was of poor quality. Many of the banks held securitised assets containing ‘sub-prime mortgage debt’. The assets, known as collateralised debt obligations (CDOs), were bundles of other assets, including mortgages. US homeowners had been lent money based on the assumption that their houses would increase in value. When house prices fell, homeowners were left in a position of negative equity – owing more than the value of their house. With many people forced to sell their houses, prices fell further. Mortgage debt held by banks could not be redeemed: it was ‘sub-prime’ or ‘toxic debt’.

Response to the crisis

The outcome of the financial crash was a series of bailouts of banks around the world. Banks cut back on lending and the world headed for a major recession.

Initially, the response of governments and central banks was to stimulate their economies through fiscal and monetary policies. Government spending was increased; taxes were cut; interest rates were cut to near zero. By 2010, the global economy seemed to be pulling out of recession.

However, the expansionary fiscal policy, plus the bailing out of banks, had led to large public-sector deficits and growing public-sector debt. Although a return of economic growth would help to increase revenues, many governments felt that the size of the public-sector deficits was too large to rely on economic growth.

As a result, many governments embarked on a period of austerity – tight fiscal policy, involving cutting government expenditure and raising taxes. Although this might slowly bring the deficit down, it slowed down growth and caused major hardships for people who relied on benefits and who saw their benefits cut. It also led to a cut in public services.

Expanding the economy was left to central banks, which kept monetary policy very loose. Rock-bottom interest rates were then accompanied by quantitative easing. This was the expansion of the money supply by central-bank purchases of assets, largely government bonds. A massive amount of extra liquidity was pumped into economies. But with confidence still low, much of this ended up in other asset purchases, such as stocks and shares, rather than being spent on goods and services. The effect was a limited stimulation of the economy, but a surge in stock market prices.

With wages rising slowly, or even falling in real terms, and with credit easy to obtain at record low interest rates, so consumer debt increased.

Lessons

So have the lessons of the financial crash been learned? Would we ever have a repeat of 2007–9?

On the positive side, financial regulators are more aware of the dangers of under capitalisation. Banks’ capital requirements have increased, overseen by the Bank for International Settlements. Under its Basel II and then Basel III regulations (see link below), banks are required to hold much more capital (‘capital buffers’). Some countries’ regulators (normally the central bank), depending on their specific conditions, exceed these the Basel requirements.

But substantial risks remain and many of the lessons have not been learnt from the financial crisis and its aftermath.

There has been a large expansion of household debt, fuelled by low interest rates. This constrains central banks’ ability to raise interest rates without causing financial distress to people with large debts. It also makes it more likely that there will be a Minsky moment, when a trigger, such as a trade war (e.g. between the USA and China), causes banks to curb lending and consumers to rein in debt. This can then lead to a fall in aggregate demand and a recession.

Total debt of the private and public sectors now amounts to $164 trillion, or 225% of world GDP – 12 percentage points higher than in 2009.

China poses a considerable risk, as well as being a driver of global growth. China has very high levels of consumer debt and many of its banks are undercapitalised. It has already experienced one stock market crash. From mid-June 2015, there was a three-week fall in share prices, knocking about 30% off their value. Previously the Chinese stock market had soared, with many people borrowing to buy shares. But this was a classic bubble, with share prices reflecting exuberance, not economic fundamentals.

Although Chinese government purchases of shares and tighter regulation helped to stabilise the market, it is possible that there may be another crash, especially if the trade war with the USA escalates even further. The Chinese stock market has already lost 20% of its value this year.

Then there is the problem with shadow banking. This is the provision of loans by non-bank financial institutions, such as insurance companies or hedge funds. As the International Business Times article linked below states:

A mind-boggling study from the US last year, for example, found that the market share of shadow banking in residential mortgages had rocketed from 15% in 2007 to 38% in 2015. This also represents a staggering 75% of all loans to low-income borrowers and risky borrowers. China’s shadow banking is another major concern, amounting to US$15 trillion, or about 130% of GDP. Meanwhile, fears are mounting that many shadow banks around the world are relaxing their underwriting standards.

Another issue is whether emerging markets can sustain their continued growth, or whether troubles in the more vulnerable emerging-market economies could trigger contagion across the more exposed parts of the developing world and possibly across the whole global economy. The recent crises in Turkey and Argentina may be a portent of this.

Then there is a risk of a cyber-attack by a rogue government or criminals on key financial insitutions, such as central banks or major international banks. Despite investing large amounts of money in cyber-security, financial institutions worry about their vulnerability to an attack.

Any of these triggers could cause a crisis of confidence, which, in turn, could lead to a fall in stock markets, a fall in aggregate demand and a recession.

Finally there is the question of the deep and prolonged crisis in capitalism itself – a crisis that manifests itself, not in a sudden recession, but in a long-term stagnation of the living standards of the poor and ‘just about managing’. Average real weekly earnings in many countries today are still below those in 2008, before the crash. In Great Britain, real weekly earnings in July 2018 were still some 6% lower than in early 2008.

Articles

Information and data

Questions

  1. Explain the major causes of the financial market crash in 2008.
  2. Would it have been a good idea to have continued with expansionary fiscal policy beyond 2009?
  3. Summarise the Basel III banking regulations.
  4. How could quantitative easing have been differently designed so as to have injected more money into the real sector of the economy?
  5. What are the main threats to the global economy at the current time? Are any of these a ‘hangover’ from the 2007–8 financial crisis?
  6. What is meant by ‘shadow banking’ and how might this be a threat to the future stability of the global economy?
  7. Find data on household debt in two developed countries from 2000 to the present day. Chart the figures. Explain the pattern that emerges and discuss whether there are any dangers for the two economies from the levels of debt.
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Continuing consumer confidence concerns (create cautious consumers and a challenging climate for commerce)

These are challenging times for business. Economic growth has weakened markedly over the past 18 months with output currently growing at an annual rate of around 1.5 per cent, a percentage point below the long-term average. Spending power continues to be squeezed, with the annual rate of inflation in October reported to be running at 3.1 per cent compared to annual earnings growth of 2.5 per cent (see the squeeze continues). Moreover, consumer confidence remains fragile with households continuing to express particular concerns about the general economy and unemployment.

Here, we update our blog of July 2016 which, following the UK vote to leave the European Union, noted the fears for UK growth as confidence fell sharply. Consumer confidence is frequently identified by macro-economists as an important source of economic volatility. Indeed many macro models use a change in consumer confidence as a means of illustrating how economic shocks affect a range of macro variables, including growth, employment and inflation. Many economists agree that, in the short term at least, falling levels of confidence adversely affect activity because aggregate demand falls as households spend less.

The European Commission’s confidence measure is collated from questions in a monthly survey. In the UK around 2000 individuals are surveyed. Across the EU as a whole over 41 000 people are surveyed. In the survey individuals are asked a series of 12 questions which are designed to provide information on spending and saving intentions. These questions include perceptions of financial well-being, the general economic situation, consumer prices, unemployment, saving and the undertaking of major purchases.

The responses elicit either negative or positive responses. For example, respondents may feel that over the next 12 months the financial situation of their household will improve a little or a lot, stay the same or deteriorate a little or a lot. A weighted balance of positive over negative replies can be calculated. The balance can vary from -100, when all respondents choose the most negative option, to +100, when all respondents choose the most positive option.

The European Commission’s principal consumer confidence indicator is the average of the balances of four of the twelve questions posed: the financial situation of households, the general economic situation, unemployment expectations (with inverted sign) and savings, all over the next 12 months. These forward-looking balances are seasonally adjusted. The aggregate confidence indicator is thought to track developments in households’ spending intentions and, in turn, likely movements in the rate of growth of household consumption.

Chart 1 shows the consumer confidence indicator for the UK. The long-term average of –8.6 shows that negative responses across the four questions typically outweigh positive responses. In November 2017 the confidence balance stood at -5.2 roughly on par with its value in the previous two months, though marginally up on values of close to -7 over the summer. However, as recently as the beginning of 2016 the aggregate confidence score was running at around +4. In this context, current levels do constitute a significant change in consumer sentiment, changes which do ordinarily mark similar turning points in economic activity.(Click here to download a PowerPoint of the chart.)

Chart 2 allows to look behind the European Commission’s headline confidence indicator for the UK by looking at its four component balances. From it, we can see a deterioration in all four components. However, by far the most significant change in the individual confidence balances has been the sharp deterioration in expectations for the general economy. In November the forward-looking general economic situation stood at -25.5, compared to its long-run average of -11.6. (Click here to download a PowerPoint of the chart.)

The fall in UK consumer confidence is even more stark when compared to developments in consumer confidence across the whole of the European Union and in the 19 countries that make up the Euro area. Chart 3 shows how UK consumer confidence recovered relatively more strongly following the financial crisis of the late 2000s. The headline confidence indicator rose strongly from the middle of 2013 and was consistently in positive territory during 2014, 2015 and into 2016. The fall in consumer confidence in the UK has seen the headline confidence measure fall below that for the EU and the euro area. (Click here to download a PowerPoint of the chart.)

Consumer (and business) confidence is closely linked to uncertainty. The circumstances following the UK vote to leave the EU have undoubtedly created the conditions for acute uncertainty. Uncertainty breeds caution. Economists sometimes talk about spending being affected by two conflicting motives: prudence and impatience. While impatience creates a desire for spending now, prudence pushes us towards saving and insuring ourselves against uncertainty and unforeseen events. The worry is that the twin forces of fragile confidence and squeezed real earning are weighting heavily in favour of prudence and patience (a reduction in impatience). Going forward, this could create the conditions for a sustained period of subdued growth which, if it were to impact heavily on firms’ investment plans, could adversely impact on the economy’s productive potential. The hope is that the Brexit negotiations can move apace to reduce uncertainty and limit uncertainty’s adverse impact on economic activity.

Articles

UK consumer confidence slips in December – Thomson Reuters/Ipsos Reuters (14/12/17)
UK consumer confidence drops to lowest level since Brexit result Independent, Ben Chu (30/11/17)
2017 set to be worst year for UK consumer spending since 2012, Visa says Independent, Josie Cox, (11/12/17)
Carpetright boss warns of ‘fragile’ consumer confidence after profits plunge Telegraph, Jack Torrance (12/12/17)
UK consumers face sharpest price rise in services for nearly a decade Guardian, Richard Partington (5/12/17)
UK average wage growth undershoots inflation again squeezing real incomes Independent, Josie Cox (13/12/17)
Bank sees boost from Brexit progress BBC News (14/12/17)

Data

Business and Consumer Surveys European Commission

Questions

  1. Draw up a series of factors that you think might affect consumer confidence.
  2. Explain what you understand by a positive and a negative demand-side shock. How might changes in consumer confidence generate demand shocks?
  3. Analyse the ways in which consumer confidence might affect economic activity.
  4. Which of the following statements is likely to be more accurate: (a) Consumer confidence drives economic activity or (b) Economic activity drives consumer confidence?
  5. What macroeconomic indicators would those compiling the consumer confidence indicator expect the indicator to predict?
  6. Analyse the possible short-term and longer-term economic implications of a fall in consumer confidence.
  7. How might uncertainty affect consumer confidence?
  8. What do the concepts of impatience and prudence mean in the context of consumer spending? When consumer confidence falls which of these might become more significant for consumer spending?
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Return of the political business cycle?

According to the theory of the political business cycle, governments call elections at the point in the business cycle that gives them the greatest likelihood of winning. This is normally near the peak of the cycle, when the economic news is currently good but likely to get worse in the medium term. With fixed-term governments, this makes it harder for governments as, unless they are lucky, they have to use demand management policies to engineer a boom as an election approaches. It is much easier if they can choose when to call an election.

In the UK, under the Fixed-term Parliaments Act of 2011, the next election must be five years after the previous one. This means that the next election in the UK must be the first Thursday in May 2020. The only exception is if at least two-thirds of all MPs vote for a motion ‘That there shall be an early parliamentary general election’ or ‘That this House has no confidence in Her Majesty’s Government.’

The former motion was put in the House of Commons on 19 April and was carried by 522 votes to 13 – considerably more than two-thirds of the 650 seats in Parliament. The next election will therefore take place on the government’s chosen date of 8 June 2017.

Part of the reason for the government calling an election is to give it a stronger mandate for its Brexit negotiations. Part is to take advantage of its currently strong opinion poll ratings, which, if correct, will mean that it will gain a substantially larger majority. But part could be to take advantage of the current state of the business cycle.

Although the economy is currently growing quite strongly (1.9% in 2016) and although forecasts for economic growth this year are around 2%, buoyed partly by a strongly growing world economy, beyond that things look less good. Indeed, there are a number of headwinds facing the economy.

First there are the Brexit negotiations, which are likely to prove long and difficult and could damage confidence in the economy. There may be adverse effects on both inward and domestic investment and possible increased capital outflows. At the press conference to the Bank of England’s February 2017 Inflation Report, the governor stated that “investment is expected to be around a quarter lower in three years’ time than projected prior to the referendum, with material consequences for productivity, wages and incomes”.

Second, the fall in the sterling exchange rate is putting upward pressure on inflation. The Bank of England forecasts that CPI inflation will peak at around 2.8% in early 2018. With nominal real wages lagging behind prices, real wages are falling and will continue to do so. As well as from putting downward pressure on living standards, it will tend to reduce consumption and the rate of economic growth.

Consumer debt has been rising rapidly in recent months, with credit-card debt reaching an 11-year high in February. This has helped to support growth. However, with falling real incomes, a lack of confidence may encourage people to cut back on new borrowing and hence on spending. What is more, concerns about the unsustainability of some consumer debt has encouraged the FCA (the financial sector regulator) to review the whole consumer credit industry. In addition, many banks are tightening up on their criteria for granting credit.

Retail spending, although rising in February itself, fell in the three months to February – the largest fall for nearly seven years. Such falls are likely to continue.

So if the current boom in the economy will soon end, then, according to political business cycle theory, the government is right to have called a snap election.

Articles

Gloomy economic outlook is why Theresa May was forced to call a snap election The Conversation, Richard Murphy (18/4/17)
What does Theresa May’s general election U-turn mean for the economy? Independent, Ben Chu (18/4/17)
It’s not the economy, stupid – is it? BBC News Scotland, Douglas Fraser (18/4/17)
Biggest fall in UK retail sales in seven years BBC News (21/4/17)
Sharp drop in UK retail sales blamed on higher prices Financial Times, Gavin Jackson (21/4/17)
Shoppers cut back as inflation kicks in – and top Bank of England official says it will get worse The Telegraph, Tim Wallace Szu Ping Chan (21/4/17)
Retail sales volumes fall at fastest quarterly rate in seven years Independent, Ben Chu (21/4/17)

Statistical Bulletin
Retail sales in Great Britain: Mar 2017 ONS (21/4/17)

Questions

  1. For what reasons might economic growth in the UK slow over the next two to three years?
  2. For what reasons might economic growth increase over the next two to three years?
  3. Why is forecasting UK economic growth particularly difficult at the present time?
  4. What does political business cycle theory predict about the behaviour of governments (a) with fixed terms between elections; (b) if they can choose when to call an election?
  5. How well timed is the government’s decision to call an election?
  6. If retail sales are falling, what other element(s) of aggregate demand may support economic growth in the coming months?
  7. How does UK productivity compare with that in other developed countries? Explain why.
  8. What possible trading arrangements with the EU could the UK have in a post-Brexit deal? Discuss their likelihood and their impact on economic growth?
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Economic forecasts: are they of any value?

Economic forecasting came in for much criticism at the time of the financial crisis and credit crunch. Few economists had predicted the crisis and its consequences. Even Queen Elizabeth II, on a visit to the London School of Economics in November 2008, asked why economists had got it so wrong. Similar criticisms have emerged since the Brexit vote, with economic forecasters being accused of being excessively pessimistic about the outcome.

The accuracy of economic forecasts was one of the topics discussed by Andy Haldane, Chief Economist at the Bank of England. Speaking at the Institute for Government in London, he compared economic forecasting to weather forecasting (see section from 15’20” in the webcast):

“Remember that? Michael Fish getting up: ‘There’s no hurricane coming but it will be very windy in Spain.’ Very similar to the sort of reports central banks – naming no names – issued pre-crisis, ‘There is no hurricane coming but it might be very windy in the sub-prime sector.” (18’40”)

The problem with the standard economic models which were used for forecasting is that they were essentially equilibrium models which work reasonably well in ‘normal’ times. But when there is a large shock to the economic system, they work much less well. First, the shocks themselves are hard to predict. For example, the sub-prime crisis in 2007/8 was not foreseen by most economists.

Then there is the effect of the shocks. Large shocks are much harder to model as they can trigger strong reactions by consumers and firms, and governments too. These reactions are often hugely affected by sentiment. Bouts of pessimism or even panic can grip markets, as happened in late 2008 with the collapse of Lehman Brothers. Markets can tumble way beyond what would be expected by a calm adjustment to a shock.

It can work the other way too. Economists generally predicted that the Brexit vote would lead to a fall in GDP. However, despite a large depreciation of sterling, consumer sentiment held up better than was expected and the economy kept growing.

But is it fair to compare economic forecasting with weather forecasting? Weather forecasting is concerned with natural phenomena and only seeks to forecast with any accuracy a few days ahead. Economic forecasting, if used correctly, highlights the drivers of economic change, such as government policy or the Brexit vote, and their likely consequences, other things being equal. Given that economies are constantly being affected by economic shocks, including government or central bank actions, it is impossible to forecast the state of the macroeconomy with any accuracy.

This does not mean that forecasting is useless, as it can highlight the likely effects of policies and take into account the latest surveys of, say, consumer and business confidence. It can also give the most likely central forecast of the economy and the likely probabilities of variance from this central forecast. This is why many forecasts use ‘fan charts’: see, for example, Bank of England forecasts.

What economic forecasts cannot do is to predict the precise state of the economy in the future. However, they can be refined to take into account more realistic modelling, including the modelling of human behaviour, and more accurate data, including survey data. But, however refined they become, they can only ever give likely values for various economic variables or likely effects of policy measures.

Webcast

Andy Haldane in Conversation Institute for Government (5/1/17)

Articles

‘Michael Fish’ Comments From Andy Haldane Pounced Upon By Brexit Supporters Huffington Post, Chris York (6/1/17)
Crash was economists’ ‘Michael Fish’ moment, says Andy Haldane BBC News (6/1/17)
The Bank’s ‘Michael Fish’ moment BBC News, Kamal Ahmed (6/1/17)
Bank of England’s Haldane admits crisis in economic forecasting Financial Times, Chris Giles (6/1/17)
Chief economist of Bank of England admits errors in Brexit forecasting BBC News, Phillip Inman (5/1/17)
Economists have completely failed us. They’re no better than Mystic Meg The Guardian, Simon Jenkins (6/1/17)
Five things economists can do to regain trust The Guardian, Katie Allen and Phillip Inman (6/1/17)
Andy Haldane: Bank of England has not changed view on negative impact of Brexit Independent, Ben Chu (5/1/17)
Big data could help economists avoid any more embarrassing Michael Fish moments Independent, Hamish McRae (7/1/17)

Questions

  1. In what ways does economic forecasting differ from weather forecasting?
  2. How might economic forecasting be improved?
  3. To what extent were the warnings of the Bank of England made before the Brexit vote justified? Did such warnings take into account actions that the Bank of England was likely to take?
  4. How is the UK economy likely to perform over the coming months? What assumptions are you making here?
  5. Brexit hasn’t happened yet. Why is it extremely difficult to forecast today what the effects of actually leaving the EU will be on the UK economy once it has happened?
  6. If economic forecasting is difficult and often inaccurate, should it be abandoned?
  7. The Bank of England is forecasting that inflation will rise in the coming months. Discuss reasons why this forecast is likely to prove correct and reasons why it may prove incorrect.
  8. How could economic forecasters take the possibility of a Trump victory into account when making forecasts six months ago of the state of the global economy a year or two ahead?
  9. How might the use of big data transform economic forecasting?