Author: John Sloman

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?

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:

•  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!
•  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.
•  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.
•  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.
•  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).
•  Avoiding temptation. For example, if you want to give up chocolate, don’t have any in the house.
•  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

  1. 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)?
  2. Give some examples of ways in which your own behaviour exhibits time inconsistency. Would it be accurate to describe this as ‘present bias’?
  3. Would you describe not sticking to New Year’s resolutions as ‘irrational behaviour’?
  4. 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?
  5. 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?
  6. Do you think it’s desirable that the advertising industry should employ psychologists and behavioural economists to help it achieve its goals?

Household borrowing on credit cards and through overdrafts and loans has been growing rapidly. This ‘unsecured’ borrowing is now rising at rates not seen since well before the credit crunch of 2008 (click here for a PowerPoint of the chart below). Should this be a cause for concern?

Household confidence is generally high and, as a result, people continue to take out more loans and so household debt continues to increase. Saving rates are falling and, at 5.1% of household disposable income, are the lowest rate since 2008, mirroring the high levels of spending and borrowing.

But as long as the economy keeps growing and as long as interest rates stay at record low levels, people should be able to continue servicing this rising debt. Indeed, with generous balance transfer offers between credit cards and many people paying off their full balance each month, only 56.6% are paying any interest at all on credit card debt, the lowest level on record.

But there could be trouble ahead! Secured borrowing (i.e. on mortgages) is at record highs as house prices have soared, limiting the amount people have to left to spend, even with ultra low interest rates. Student debt is growing, putting a brake on graduate spending.

With economic growth set to slow and inflation set to rise as the effects of the lower pound filter through into retail prices, this could initially boost borrowing further as people seek to maintain levels of consumption. But then, if unemployment starts to rise and consumer confidence starts to fall, real spending could decline, putting further downward pressure on the economy.

Confidence could then fall further and we could witness a repeat of 2008–9, when people became worried about their levels of borrowing and cut back on consumption in an attempt to claw down their debt. The economy was pushed into recession.

The Bank of England is well aware of this scenario and wants banks to ensure that their customers can afford loans before offering them.

Articles

Bank governor Mark Carney warns on household debt BBC News, Brian Milligan (30/11/16)
Credit crunch: Household debt is rising just as the economy’s future is uncertain The Telegraph, Tim Wallace (10/12/16)

Bank of England publication
Financial Stability Report, November 2016 Bank of England (30/11/16)

Data

Money and lending Bank of England Interactive Database
United Kingdom Households Debt To GDP Trading Economics
Household debt OECD Data

Questions

  1. What determines the amount people borrow?
  2. What would cause people to cut back on the amount of debt they have?
  3. Distinguish between secured and unsecured borrowing and debt.
  4. Why has secured borrowing risen? Does this matter?
  5. What is meant by the term ‘re-leveraging’? What is its significance in terms of household borrowing?
  6. Find out what the affordability tests are for anyone wanting to take out a mortgage.
  7. What are the greatest risks to UK financial stability?

On 14 December, the US Federal Reserve announced that its 10-person Federal Open Market Committee (FOMC) had unanimously decided to raise the Fed’s benchmark interest rate by 25 basis points to a range of between 0.5% and 0.75%. This is the first rise since this time last year, which was the first rise for nearly 10 years.

The reasons for the rise are two-fold. The first is that the US economy continues to grow quite strongly, with unemployment edging downwards and confidence edging upwards. Although the rate of inflation is currently still below the 2% target, the FOMC expects inflation to rise to the target by 2018, even with the rate rise. As the Fed’s press release states:

Inflation is expected to rise to 2% over the medium term as the transitory effects of past declines in energy and import prices dissipate and the labor market strengthens further.

The second reason for the rate rise is the possible fiscal policy stance of the new Trump administration. If, as expected, the new president adopts an expansionary fiscal policy, with tax cuts and increased government spending on infrastructure projects, this will stimulate the economy and put upward pressure on inflation. It could also mean that the Fed will raise interest rates again more quickly. Indeed, the FOMC indicated that it expects three rate rises in 2017 rather than the two it predicted in September.

However, just how much and when the Fed will raise interest rates again is highly uncertain. Future monetary policy measures will only become more predictable when Trump’s policies and their likely effects become clearer.

Articles

US Federal Reserve raises interest rates and flags quicker pace of tightening in 2017 Independent, Ben Chu (14/12/16)
US Federal Reserve raises interest rates: what happens next? The Telegraph, Szu Ping Chan (15/12/16)
Holiday traditions: The Fed finally manages to lift rates in 2016 The Economist (14/12/16)
US raises key interest rate by 0.25% on strengthening economy BBC News (14/12/16)
Fed Raises Key Interest Rate, Citing Strengthening Economy The New York Times, Binyamin Appelbaum (14/12/16)
US dollar surges to 14-year high as Fed hints at three rate hikes in 2017 The Guardian, Martin Farrer and agencies (15/12/16)

Questions

  1. What determines the stance of US monetary policy?
  2. How does fiscal policy impact on market interest rates and monetary policy?
  3. What effect does a rise in interest rates have on exchange rates and the various parts of the balance of payments?
  4. What effect is a rise in US interest rates likely to have on other countries?
  5. What is meant by ‘forward guidance’ in the context of monetary policy? What are the benefits of providing forward guidance?
  6. What were the likely effects on the US stock market of the announcement by the FOMC?
  7. Following the FOMC announcement, two-year US Treasury bond yields rose to 1.231%, the highest since August 2009. Explain why.
  8. For what reason does the FOMC believe that the US economy is already expanding at roughly the maximum sustainable pace?

We’ve considered Keynesian economics and policy in several blogs. For example, a year ago in the post, What would Keynes say?, we looked at two articles arguing for Keynesian expansionary polices. More recently, in the blogs, End of the era of liquidity traps? and A risky dose of Keynesianism at the heart of Trumponomics, we looked at whether Donald Trump’s proposed policies are more Keynesian than his predecessor’s and at the opportunities and risks of such policies.

The article below, Larry Elliott updates the story by asking what Keynes would recommend today if he were alive. It also links to two other articles which add to the story.

Elliott asks his imaginary Keynes, for his analysis of the financial crisis of 2008 and of what has happened since. Keynes, he argues, would explain the crisis in terms of excessive borrowing, both private and public, and asset price bubbles. The bubbles then burst and people cut back on spending to claw down their debts.

Keynes, says Elliott, would approve of the initial response to the crisis: expansionary monetary policy (both lower interest rates and then quantitative easing) backed up by expansionary fiscal policy in 2009. But expansionary fiscal policies were short lived. Instead, austerity fiscal policies were adopted in an attempt to reduce public-sector deficits and, ultimately, public-sector debt. This slowed down the recovery and meant that much of the monetary expansion went into inflating the prices of assets, such as housing and shares, rather than in financing higher investment.

He also asks his imaginary Keynes what he’d recommend as the way forward today. Keynes outlines three alternatives to the current austerity policies, each involving expansionary fiscal policy:

•  Trump’s policies of tax cuts combined with some increase in infrastructure spending. The problems with this are that there would be too little of the public infrastructure spending that the US economy needs and that the stimulus would be poorly focused.
•  Government taking advantage of exceptionally low interest rates to borrow to invest in infrastructure. “Governments could do this without alarming the markets, Keynes says, if they followed his teachings and borrowed solely to invest.”
•  Use money created through quantitative easing to finance public-sector investment in infrastructure and housing. “Building homes with QE makes sense; inflating house prices with QE does not.” (See the blogs, A flawed model of monetary policy and Global warning).

Increased government spending on infrastructure has been recommended by international organisations, such as the OECD and the IMF (see OECD goes public and The world economic outlook – as seen by the IMF). With the rise in populism and worries about low economic growth throughout much of the developed world, perhaps Keynesian fiscal policy will become more popular with governments.

Article

Keynesian economics: is it time for the theory to rise from the dead?, The Guardian, Larry Elliott (11/12/16)

Questions

  1. What are the main factors determining a country’s long-term rate of economic growth?
  2. What are the benefits and limitations of using fiscal policy to raise global economic growth?
  3. What are the benefits and limitations of using new money created by the central bank to fund infrastructure spending?
  4. Draw an AD/AS diagram to illustrate the effect of a successful programme of public-sector infrastructure projects on GDP and prices.
  5. Draw a Keynesian 45° line diagram to illustrate the effect of a successful programme of public-sector infrastructure projects on actual and potential GDP.
  6. Why might an individual country benefit more from a co-ordinated expansionary fiscal policy of all countries rather than being the only country to pursue such a policy?
  7. Compare the relative effectiveness of increased government investment in infrastructure and tax cuts as alterative forms of expansionary fiscal policy.
  8. What determines the size of the multiplier effect of such policies?
  9. What supply-side policies could the government adopt to back up monetary and fiscal policy? Are the there lessons here from the Japanese government’s ‘three arrows’?