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
- In what ways does economic forecasting differ from weather forecasting?
- How might economic forecasting be improved?
- 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?
- How is the UK economy likely to perform over the coming months? What assumptions are you making here?
- 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?
- If economic forecasting is difficult and often inaccurate, should it be abandoned?
- 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.
- 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?
- How might the use of big data transform economic forecasting?
Many or us make New Year’s resolutions: going on a diet, doing exercise, spending more time studying. But few people stick to them, even though they say they would like to. So how can people be motivated to keep to their resolutions? Well, the experiments of behavioural economists provide a number of insights into the problem. They also suggest various incentives that can be used to motivate people to stick to their plans.
Central to the problem is that people have ‘time inconsistency’. They put a higher weight on the benefits of things that are good for them in the future and less weight on these benefits when they have to act now. You might strongly believe that going to the gym is good for you and plan to go next Monday. But when Monday comes, you can’t face it.
Another part of the time inconsistency problem is the relatively high weighting given to short-term gratification – eating chocolates, watching TV, spending time on social media, staying in bed. 
When thinking about whether you would like to do these things in, say, a couple of days’ time, you put a low weight on the pleasures. But thinking about doing them right now, you put a much higher weight on them. As the well-known saying goes, ‘Hard work often pays off after time, but laziness pays off now’.
So how can people be motivated to stick to their resolutions? Behavioural economists have studied various systems of incentives to see what works. Some of the findings are as follows:
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People are generally loss averse. To get us to stick to New Year’s resolutions, we could devise a system of penalties for breaking them, such as paying 20p each time you swear! |
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Given people’s time inconsistency, devising a system whereby you get treats after doing something you feel is good for you: e.g. watching TV for 30 minutes after you’ve done an hour’s revision. Rewards should follow effort, not precede them. |
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Having simple clear goals. Thus rather than merely saying ‘I’ll eat less’, you devise a meal plan with menus that meet calorie and other dietary goals. Rather than saying, ‘I’ll exercise more’, you commit to going to the gym at specific times each week and doing a specific amount of each exercise. |
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Ritualising. This is where you devise a regime that is feasible to stick to. For example, you could always write a shopping list to meet your dietary goals and then only buy what’s on that list; or you and your flatmates could have a rota for household chores. |
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Social reinforcement. This is where people have a joint plan and help each other stick to it, such as going to the gym at specific times with a friend or group of friends, or joining a support group (e.g. to lose weight, or give up drinking or smoking). |
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Avoiding temptation. For example, if you want to give up chocolate, don’t have any in the house. |
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Using praise rather than criticism. People generally respond better to positive incentives than negative ones. |
Behavioural economists test these different incentive mechanisms to see what works best and then to see how they can be refined. The testing could be done experimentally, with volunteers being given different incentives and seeing how they respond. Alternatively, data could be collected on the effects of different incentive mechanisms that people have actually used, whether at home or at work.
The advertising and marketing industry analyses consumer trends and how people respond to pricing, quality, display, packaging, advertising, etc. They want to understand human behaviour so that they can ‘direct’ it in their favour of their clients. Governments too are keen to find ways of encouraging people to do more of things that are good for them and less of things that are bad.
The UK government’s Behavioural Insights Team looks at ways people can be ‘nudged’ into changing their behaviour, see the blog A nudge in the right direction?
But back to New Year’s resolutions, have you made any? And, if so, have you thought about how you might stick to them? Have you thought about the incentives?
Podcast
Dan Ariely talks “Payoff” WUNC 91.5: North Carolina Public Radio, Dan Ariely talks to Frank Stasio (3/1/17)
Articles and blogs
50 New Year’s Resolution Ideas and how to Achieve Each of Them Lifehack, Ivan Dimitrijevic (31/12/16)
5 New Year’s Resolutions You Can Keep (With The Help Of Behavioral Science Research) Forbes, Carmen Nobel (3/1/17)
The science behind keeping your New Year’s resolutions BT, SNAP PA (30/12/15)
The Guardian view on New Year resolutions: fitter, happier, more productive The Guardian, Editorial (3/1/17)
The Behavioral Economics of Your New Year’s Resolutions The Daily Beast, Uri Gneezy (5/1/14)
The psychology of New Year’s resolution The Conversation, Mark Griffiths (1/1/16)
Apply Behavioral Economics for a Better New Year Wharton Blog Network, William Hartje (16/1/14)
The Kardashians Can Help Your New Year’s Resolutions Huffington Post, John Beeby (29/12/16)
Using economics to score with New Year resolutions The Hindu, Venky Vembu (4/1/17)
Be It Resolved The New York Times, John Tierney (5/1/12)
Goal-setting site
stickK ‘Set your goals and achieve them!’
Questions
- Explain what is meant by time inconsistent behaviour. Is this the same as giving future costs and benefits a lower weighting than present ones (and hence having to discount future costs and benefits)?
- Give some examples of ways in which your own behaviour exhibits time inconsistency. Would it be accurate to describe this as ‘present bias’?
- Would you describe not sticking to New Year’s resolutions as ‘irrational behaviour’?
- Have you made any New Year’s resolutions, or do you have any plans to achieve goals? Could you alter your own personal incentives and, if so, how, to make it more likely that you will stick to your resolutions/goals?
- Give some examples of ways in which the government could ‘nudge’ us to behave in ways that were more in our own individual interests or those of society or the environment?
- Do you think it’s desirable that the advertising industry should employ psychologists and behavioural economists to help it achieve its goals?
The articles below examine the rise of the sharing economy and how technology might allow it to develop. A sharing economy is where owners of property, equipment, vehicles, tools, etc. rent them out for periods of time, perhaps very short periods. The point about such a system is that the renter deals directly with the property owner – although sometimes initially through an agency. Airbnb and Uber are two examples.
So far the sharing economy has not developed very far. But the development of smart technology will soon make a whole range of short-term renting contracts possible. It will allow the contracts to be enforced without the need for administrators, lawyers, accountants, bankers or the police. Payments will be made electronically and automatically, and penalties, too, could be applied automatically for not abiding by the contract.
One development that will aid this process is a secure electronic way of keeping records and processing payments without the need for a central authority, such as a government, a bank or a company. It involves the use of ‘blockchains‘ (see also). The technology, used in Bitcoin, involves storing data widely across networks, which allows the data to be shared. The data are secure and access is via individuals having a ‘private key’ to parts of the database relevant to them. The database builds in blocks, where each block records a set of transactions. The blocks build over time and are linked to each other in a logical order (i.e. in ‘chains’) to allow tracking back to previous blocks.
Blockchain technology could help the sharing economy to grow substantially. It could significantly cut down the cost of sharing information about possible rental opportunities and demands, and allow minimal-cost secure transactions between owner and renter. As the IBM developerWorks article states:
Rather than use Uber, Airbnb or eBay to connect with other people, blockchain services allow individuals to connect, share, and transact directly, ushering in the real sharing economy. Blockchain is the platform that enables real peer-to-peer transactions and a true ‘sharing economy’.
Article
New technology may soon resurrect the sharing economy in a very radical form The Guardian, Ben Tarnoff (17/10/16)
Blockchain and the sharing economy 2.0 IBM developerWorks, Lawrence Lundy (12/5/16)
2016 is set to become the most interesting year yet in the life story of the sharing economy Nesta, Helen Goulden (Dec 2015)
Blockchain Explained Business Insider, Tina Wadhwa and Dan Bobkoff (16/10/16)
A parliament without a parliamentarian Interfluidity, Steve Randy Waldman (19/6/16)
Blockchain and open innovation: What does the future hold Tech City News, Jamie QIU (17/10/16)
Banks will not adopt blockchain fast Financial Times, Oliver Bussmann (14/10/16)
Blockchain-based IoT project does drone deliveries using Ethereum International Business Times, Ian Allison (14/10/16)
Questions
- What do you understand by the ‘sharing economy’?
- Give some current examples of the sharing economy? What other goods or services might be suitable for sharing if the technology allowed?
- How could blockchain technology be used to cut out the co-ordinating role carried out by companies such as Uber, eBay and Airbnb and make their respective services a pure sharing economy?
- Where could blockchain technology be used other than in the sharing economy?
- How can blockchain technology not only record property rights but also enforce them?
- What are the implications of blockchain technology for employment and unemployment? Explain.
- How might attitudes towards using the sharing economy develop over time and why?
- Referring to the first article above, what do you think of Toyota’s use of blockchain to punish people who fall behind on their car payments? Explain your thinking.
- Would the use of blockchain technology in the sharing economy make markets more competitive? Could it make them perfectly competitive? Explain.
Before the referendum, economists overwhelmingly argued that the economic case for the UK remaining in the EU was much stronger than that for leaving. They warned of serious economic consequences, both short term and long term, of a Brexit vote. And yet, by a majority of 51.9% to 48.1% of the 72.1% of the electorate who voted, the UK voted to leave the EU.
Does this mean that economists failed to communicate to the electorate? Were the arguments presented poorly or in too academic a way?
Or did people simply not believe the economists’ forecasts, being cynical about the ability of economists to forecast? During the campaign, on several occasions I heard people repeating the joke that economists had successfully predicted five out of the last two recessions!
Did they not believe the data that immigrants from other EU countries to the UK contribute more in taxes they draw in benefits and that overall they make a net positive contribution to output per head? Or perhaps they believed the claims that immigrants imposed a net cost on the economy.
Or were there ‘non-economic’ issues that people found more persuasive, such as questions of sovereignty or national identity? Or was the strain on local resources, such as health services, schools and housing, blamed on immigration itself rather than on a lack of spending on additional resources – the funding for which could have come from the extra GDP generated by the immigration?
Or were there so many lies told by politicians and those with vested interests that people simply didn’t know whom to believe?
Economists will, no doubt, do a lot of soul searching over the coming months. One such economist is Paul Johnson, Director of the Institute for Fiscal Studies, whose article is linked below.
Article
We economists must face the plain truth that the referendum showed our failings Institute for Fiscal Studies newspaper articles. Paul Johnson (28/6/16)
Questions
- In what ways could economists have communicated better to the general public during the referendum campaign?
- For what reasons may people distrust economists?
- Were economists hampered in delivering their message by ‘balanced reporting’?
- Comment on Paul Johnson’s statement that, ‘The most politically engaged of us spend decades working out how to tweak tax policy, or labour market policy, or competition policy to deliver small benefits. How many times over would our work have been repaid if we had simply convinced a few more people of the basics?’
- Do economists, or at least some of them, need to become more ‘media savvy’?
- How could institutions, such as the Royal Economic Society and the Society of Business Economists, do more to help economists collectively to communicate with the general public?
- Give some examples of the terminology/jargon we use which might be inappropriate for communicating with the general public. Suggest some alternative terms to the examples you’ve given.
The Chinese economy was, for some time, the beacon of the world economy, posting strong growth and giving a much needed boost to demand in other countries. However, the weakening Chinese economy is now causing serious concerns around the world and not least in China itself.
China’s stock market on Monday 11th January closed down 5.3%, with the Hong Kong Index down by 2.8%. These falls suggest a continuing downward trajectory this week, following the 10% decline on Chinese markets last week. Today, further falls were caused, at least in part, by uncertainty over the direction of the Chinese currency, the yuan. Volatility in the currency is expected to continue with ongoing depreciation pressures and adding to this is continuing concerns about deflation.
The barrage of bad news on key economic indicators may well mean significant intervention by Chinese authorities to try to avoid its slowest growth in 25 years. However, there are also concerns about China’s ability to manage its economic policy, given recent events. IG’s Angus Nicholson said:
“Global markets are still in the grips of China fears, and it is uncertain whether the Chinese government can do enough to reassure global investors.”
Similar sentiments were echoed by Paul Mackel, head of emerging markets FX research at HSBC:
“Different signals about foreign exchange policy have wrong-footed market participants and we are wary in believing that an immediate calmness will soon emerge.”
Perhaps key to turning this downward trend on its head, will be the Chinese consumers. With a traditionally larger saving ratio than 
many Western economies, it may be that this ‘cushion’ will give growth a boost, through the contribution of consumer spending. As we know, aggregate demand comprises consumption, investment, government spending and net exports (AD = C + I + G + X – M). Consumer spending (C) increased from 50.2% in 2014 to 58.4% in 2015, according to HIS Global Insight. A similar increase for 2016 would certainly be welcome.
As oil prices continue to fall and concerns remain over China’s weak economic data, we may well soon begin to see just how interdependent the world has become. Many economists suggest that we are now closer to the start of the next recession than we are to the end of the last one and this latest turmoil on Chinese stock markets may do little to allay the fears that the world economy may once again be heading for a crash. The following articles consider the Chinese turmoil.
Free lunch: China’s weakest link Financial Times, Martin Sandbu (11/01/16)
China’s stocks start the week with sharp losses BBC News (11/01/16)
China shares fall 5% to hit-three-month low The Guardian (11/01/16)
China’s resilient shoppers face fresh test from market headwinds Bloomberg (11/01/16)
China shares head lower again on price data Sky News (11/01/16)
U.S., European shares slip as China, oil woes continue Reuters, Lewis Krauskopf (11/01/16)
U.S. stocks drop as oil tumbles again Wall Street Journal (11/01/16)
China escalates emergency stock market intervention The Telegraph, Mehreen Kahn (05/01/16)
Questions
- How are prices and values determined on the stock market?
- Share prices in China have been falling significantly since the start of 2016. Has it been caused by demand or supply-side factors? Use a demand and supply diagram to illustrate this.
- Why has the volatility of the Chinese currency added further downward pressure to Chinese stock markets?
- With the expected increase in consumer spending in China, how will this affect AD? Use a diagram to explain your answer and using this, outline what we might expect to happen to economic growth and unemployment in China.
- Why are there serious concerns about the weak level of inflation in China? Surely low prices are good for exports.
- Should the world economy be concerned if China’s economy does continue to slow?
- To what extent are oil prices an important factor in determining the future trajectory of the world economy?
