Tag: financial crisis

According to Christine Lagarde, Managing Director of the IMF, the slow growth in global productivity is acting as a brake on the growth in potential income and is thus holding back the growth in living standards. In a recent speech in Washington she said that:

Over the past decade, there have been sharp slowdowns in measured output per worker and total factor productivity – which can be seen as a measure of innovation. In advanced economies, for example, productivity growth has dropped to 0.3 per cent, down from a pre-crisis average of about 1 per cent. This trend has also affected many emerging and developing countries, including China.

We estimate that, if total factor productivity growth had followed its pre-crisis trend, overall GDP in advanced economies would be about 5 percent higher today. That would be the equivalent of adding another Japan – and more – to the global economy.

So why has productivity growth slowed to well below pre-crisis rates? One reason is an ageing working population, with older workers acquiring new skills less quickly. A second is the slowdown in world trade and, with it, the competitive pressure for firms to invest in the latest technologies.

A third is the continuing effect of the financial crisis, with many highly indebted firms forced to make deep cuts in investment and many others being cautious about innovating. The crisis has dampened risk taking – a key component of innovation.

What is clear, said Lagarde, is that more innovation is needed to restore productivity growth. But markets alone cannot achieve this, as the benefits of invention and innovation are, to some extent, public goods. They have considerable positive externalities.

She thus called on governments to give high priority to stimulating productivity growth and unleashing entrepreneurial energy. There are several things governments can do. These include market-orientated supply-side policies, such as removing unnecessary barriers to competition, driving forward international free trade and cutting red tape. They also include direct intervention through greater investment in education and training, infrastructure and public-sector R&D. They also include giving subsidies and/or tax relief for private-sector R&D.

Banks too have a role in chanelling finance away from low-productivity firms and towards ‘young and vibrant companies’.

It is important to recognise, she concluded, that innovation and structural change can lead to some people losing out, with job losses, low wages and social deprivation. Support should be given to such people through better education, retraining and employment incentives.

Articles

IMF chief warns slowing productivity risks living standards drop Reuters, David Lawder (3/4/17)
Global productivity slowdown risks social turmoil, IMF warns Financial Times, Shawn Donnan (3/4/17)
Global productivity slowdown risks creating instability, warns IMF The Guardian, Katie Allen (3/4/17)
The Guardian view on productivity: Britain must solve the puzzle The Guardian (9/4/17)

Speech
Reinvigorating Productivity Growth IMF Speeches, Christine Lagarde, Managing Director, IMF(3/4/17)

Paper
Gone with the Headwinds: Global Productivity IMF Staff Discussion Note, Gustavo Adler, Romain Duval, Davide Furceri, Sinem Kiliç Çelik, Ksenia Koloskova and Marcos Poplawski-Ribeiro (April 2017)

Questions

  1. What is the relationship between actual and potential economic growth?
  2. Distinguish between labour productivity and total factor productivity.
  3. Why has total factor productivity growth been considerably slower since the financial crisis than before?
  4. Is sustained productivity growth (a) a necessary and/or (b) a sufficient condition for a sustained growth in living standards?
  5. Give some examples of technological developments that could feed through into significant growth in productivity.
  6. What is the relationship between immigration and productivity growth?
  7. What policies would you advocate for increasing productivity? Explain why.

Is too much expected of economists? When economic forecasts turn out to be wrong, as they often are, economists are criticised for having inaccurate or unrealistic models. But is this a fair criticism?

The following article by Richard Whittle from Manchester Metropolitan University looks at what economists can and cannot do. The article highlights two key problems for economic forecasting.

The first concerns human behaviour, which is influenced by a whole range of factors and can change very rapidly in response to changing circumstances. Moods of optimism or pessimism can quickly spread in response to a news item, such as measures announced by Donald Trump or latest data on growth or the housing market.

The second concerns the whole range of possible economic shocks. Such shocks, by their very nature, are hard to predict and can quickly make forecasts wrong. They could be a surprise election result, a surprise government policy change, a natural disaster, a war or a series of terrorist attacks. And these shocks, in turn, affect human behaviour. Consumption and investment may rise or fall as the events affect confidence and herd behaviour.

But is it a fair criticism of economics that it cannot foretell the future? Do economists, as the article says, throw up their hands and curse economics as a futile endeavour? Not surprisingly, the answer given is no! The author gives an analogy with medicine.

A doctor cannot definitely prevent illness, but can offer advice on prevention and hopefully offer a cure if you do get ill. This is the same for the work economists do.

Economists can offer advice on preventing crises or slowdowns but cannot definitively prevent them from happening. Economists can also offer robust advice on restoring growth, although when the advice is that the economy has grown too fast and should slow, it is often not welcomed by policy makers.

Helping understanding the various drivers in an economy and how humans are likely to respond to various incentives is a key part of what economists do. But making predictions with 100% certainty is asking too much of economists.

And just as medical professionals can predict that if you smoke, eat unhealthy food or take no exercise you are likely to be less healthy and die younger, but cannot say precisely when an individual will die, so too economists can predict that certain policy measures are likely to increase or decrease GDP or employment or inflation, but they cannot say precisely how much they will be affected.

As the article says, “the true value of the economist lies not in mystical fortune telling, but in achieving a better understanding of the nature of the economies in which we live and work.”

Article

How to be an economist in 2017 The Conversation, Richard Whittle (24/1/17)

Questions

  1. For what reasons has economics been ‘in crisis’? What is the solution to this crisis?
  2. Look at some macroeconomic forecasts for a country of your choice made two years ago for today (see, for example, forecasts made by the IMF, OECD or a central bank). How accurate were they? Explain any inaccuracies.
  3. To what extent is economic forecasting like weather forecasting?
  4. What is meant by cumulative causation? Give some examples. Why does cumulative causation make economic forecasting difficult?
  5. How is the increased usage of contactless card payments likely to affect spending patterns? Explain why.
  6. Why is it difficult to forecast the effects of Brexit?
  7. How can economic advisors help governments in designing policy?
  8. Why do people tend to overweight high probabilities and underweight low ones?

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?

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’?

Jim Slater, who has just died at the age of 86, was a tycoon of the 1970s, probably unknown to most reader of this blog. But his legacy lives on and many will question whether the actions of the banking sector and big business today is a reflection of the lessons that were not learnt 40 years ago.

Slater was a businessman: perhaps the businessman in the 1970s, building up a company that in today’s money and the height of its success, would have been worth billions. Buying and selling companies, asset stripping and investing created Slater Walker, which shot to success and then crumbled to failure, taking with it a bailout from the Bank of England of £110 million. You might look at that figure and compare it with the bail outs of more recent times and think – peanuts. But think about how prices have changed and convert £110 million into today’s money and that’s a hefty bail out. A key question is whether the willingness of the government and Bank of England to bail out key banks and financial sector businesses has encouraged the irresponsible lending that led to the credit crunch. Was there a moral hazard? Had Slater Walker been left to fail, would the world look a slightly different place?

Perhaps a little extreme, but I wonder, if we were to look back over the past 50 to 60 years, whether we would find other cases of key businesses being bailed out, which set a precedent for other companies to grow, without necessarily taking full responsibility for it. Jim Slater will certainly leave a legacy behind him .

Jim Slater and the warning from the 1970s that we ignored BBC News, Jonty Bloom (20/11/15)

Questions

  1. What is meant by asset stripping?
  2. If a company like Slater Walker had not been bailed out, do you think the economy would have suffered?
  3. If Slater Walker had been left to fail, would that have changed the business model of some of our largest banks and reduced the chance of a financial crisis 40 years later?
  4. Do you think the concept of moral hazard is relevant here?