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
- For what reasons has economics been ‘in crisis’? What is the solution to this crisis?
- 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.
- To what extent is economic forecasting like weather forecasting?
- What is meant by cumulative causation? Give some examples. Why does cumulative causation make economic forecasting difficult?
- How is the increased usage of contactless card payments likely to affect spending patterns? Explain why.
- Why is it difficult to forecast the effects of Brexit?
- How can economic advisors help governments in designing policy?
- Why do people tend to overweight high probabilities and underweight low ones?
GDP is often used as a measure of wellbeing, even though it is really only a measure of the market value of a nation’s output or an indicator of economic activity. But although higher consumption can improve living standards, it is only one contributor to wellbeing, whether at individual or social level.
There are essentially four types of problems from using GDP as a measure of how society is doing.
The first is that it does not include (as negative figures) many external costs, such as pollution, stress and family breakdown related to work.
The second is that it includes things that are produced to counteract the adverse effects of increased production, such as security, antidepressants, therapy and clean-up activities.
The third is that it ignores things that are produced and do contribute to wellbeing and yet are not traded in the market. Examples include volunteer work, the ‘output’ of clubs and societies, work within the home, production from allotments and various activities taking place in the ‘underground economy’ to avoid taxation.
The fourth is the sustainability of economic growth. If we deplete natural resources, the growth of today may be at the cost of the wellbeing of future generations.
Then there is the question of the distribution of the benefits of production. Although GDP figures can be adjusted for distribution, crude GDP growth figures are not. If a few wealthy get a lot richer and the majority do not, or even get poorer, a growth in GDP will not signify a growth in wellbeing of the majority.
Then there is the question of the diminishing marginal utility of income. If an extra pound to a rich person gives less additional wellbeing than an extra pound to a poor person, then any given growth rate accompanied by an increase in inequality will contribute less to wellbeing than the same growth rate accompanied by a decrease in inequality.
The first article below criticises the use of crude indicators, such as the growth in GDP or stock market prices to signify wellbeing. It also looks at some alternative indicators that can capture some of the contributions to wellbeing missed by GDP figures.
Articles
Want to know how society’s doing? Forget GDP – try these alternatives The Guardian, Mark Rice-Oxley (27/1/17)
The Increasingly Inadequate Measurement Of Productivity The Market Mogul, Chris Woods (20/1/17)
Why GDP fails as a measure of well-being CBS News, Mark Thoma (27/1/16)
Limitations of GDP as Welfare Indicator The Sceptical Economist, zielonygrzyb (31/7/12)
Questions
- Should GDP be abandoned as an indicator?
- How could GDP be refined to capture more of the factors affecting wellbeing?
- Go through each of the indicators discussed in the first article above and consider their suitability as an indicator of wellbeing.
- “Everywhere you look, there are better benchmarks than these tired old financial yardsticks.” Identify three such indicators not considered in the first article and discuss their suitability as measures of economic performance.
- How might the benefit you gain from free apps be captured?
- Consider the suitability of these alternatives to GDP.
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?
Some commentators have seen the victory of Donald Trump and, prior to that, the Brexit vote as symptoms of a crisis in capitalism. Much of the campaigning in the US election, both by Donald Trump on the right and Bernie Sanders on the left focused on the plight of the poor. Whether the blame was put on immigration, big government, international organisations, the banks, cheap imports undercutting jobs or a lack of social protection, the message was clear: capitalism is failing to improve the lot of the majority. A small elite is getting significantly richer while the majority sees little or no gain in their living standards and a rise in uncertainty.
The articles below look at this crisis. They examine the causes, which they agree go back many years as capitalism has evolved. The financial crash of 2008 and the slow recovery since are symptomatic of the underlying changes in capitalism.
The Friedman article focuses on the slowing growth in technological advance and the problem of aging populations. What technological progress there is is not raising incomes generally, but is benefiting a few entrepreneurs and financiers. General rises in income may eventually come, but it may take decades before robotics, biotechnological advances, e-commerce and other breakthrough technologies filter through to higher incomes for everyone. In the meantime, increased competition through globalisation is depressing the incomes of the poor and economically immobile.
All the articles look at the rise of the rich. The difference with the past is that the people who are gaining the most are not doing so from production but from financial dealing or rental income; they have gained while the real economy has stagnated.
The gains to the rich have come from the rise in the value of assets, such as equities (shares) and property, and from the growth in rental incomes. Only a small fraction of finance is used to fund business investment; the majority is used for lending against existing assets, which then inflates their prices and makes their owners richer. In other words, the capitalist system is moving from driving growth in production to driving the inflation of asset prices and rental incomes.
The process whereby financial markets grow and in turn drive up asset prices is known as ‘financialisation’. Not only is the process moving away from funding productive investment and towards speculative activity, it is leading to a growth in ‘short-termism’. The rewards of senior managers often depend on the price of their companies’ shares. This leads to a focus on short-term profit and a neglect of long-term growth and profitability – to a neglect of investment in R&D and physical capital.
The process of financialisation has been driven by deregulation, financial innovation, the growth in international financial flows and, more recently, by quantitative easing and low interest rates. It has led to a growth in private debt which, in turn, creates more financial instability. The finance industry has become so profitable that even manufacturing companies are moving into the business of finance themselves – often finding it more profitable than their core business. As the Foroohar article states, “the biggest unexplored reason for long-term slower growth is that the financial system has stopped serving the real economy and now serves mainly itself.”
So will the election of Donald Trump, and pressure from populism in other countries too, mean that governments will focus more on production, job creation and poverty reduction? Will there be a movement towards fiscal policy to drive infrastructure spending? Will there be a reining in of loose monetary policy and easy credit?
Or will addressing the problem of financialisation and the crisis of capitalism result in the rich continuing to get richer at the expense of the poor, but this time through more conventional channels, such as increased production and monopoly profits and tax cuts for the rich? Trump supporters from among the poor hope the answer is no. Those who supported Bernie Sanders in the Democratic primaries think the answer will be yes and that the solution to over financialisation requires more, not less, regulation, a rise in minimum wages and fiscal policies aimed specifically at the poor.
Articles
Can Global Capitalism Be Saved? Project Syndicate, Alexander Friedman (11/11/16)
American Capitalism’s Great Crisis Time, Rana Foroohar (12/5/16)
The Corruption of Capitalism by Guy Standing review – work matters less than what you own The Guardian, Katrina Forrester (26/10/16)
Questions
- Do you agree that capitalism is in crisis? Explain.
- What is meant by financialisation? Why has it grown?
- Will the policies espoused by Donald Trump help to address the problems caused by financialisation?
- What alternative policies are there to those of Trump for addressing the crisis of capitalism?
- Explain Schumpeter’s analysis of creative destruction.
- What technological innovations that are currently taking place could eventually benefit the poor as well as the rich?
- What disincentives are there for companies investing in R&D and new equipment?
- What are the arguments for and against a substantial rise in the minimum wage?
We have frequently looked at patterns in lending by financial institutions in our blogs given that many economies, like the UK, display cycles in credit. Central banks now pay considerable attention to the possibility of such cycles destabilising economies and causing financial distress to people and businesses. There is also increased interest here in the UK in bank lending data in light of Brexit. Patterns in credit flows may indicate whether it is affecting the lending choices of financial institutions and borrowing choices of people and businesses.
Data from the Bank of England’s Money and Credit – September 2016 statistical release shows net lending (lending net of repayments) by monetary financial institutions (MFIs) to individuals in September 2016 was £4.65 billion. This compares with £8.89 billion back in March 2016 which then was the highest monthly total since August 2007. However, the March figure was something of a spike in lending and this September’s figure is actually very slightly above the monthly average over the last 12 months, excluding March, of £4.5 billion. In other words, as yet, there is no discernible change in the pattern of credit flows post-Brexit.
Leaving aside the question of the economic impact of Brexit, we still need to consider what the credit data mean for financial stability and for our financial well-being. Chart 1 shows the annual flows of lending by banks and building societies since the mid 1990s. The chart evidences the cycles in secured lending and in consumer credit (unsecured lending) with its consequent implications for economic and financial-welling being.(Click here to download a PowerPoint of Chart 1.)
After the financial crisis, as Chart 1 shows, net lending to individuals collapsed. More recently, net lending has been on the rise both through secured lending and in consumer credit. The latest data show that annual flows have begun to plateau. Nonetheless, the total flow of credit in the 12 months to September of £58 billion compares with £33 billion and £41 billion in the 12 months to September 2014 and 2015 respectively. Having said this, in the 12 months to September 2007 the figure was £112 billion! £58 billion is currently equivalent to around about 3 per cent of GDP.
To more readily see the effect of the credit flows on debts stocks, Chart 2 shows the annual growth rate of net lending by MFIs. In essence, this mirrors the growth rate in the stocks of debt which is an important metric of financial well-being. The chart nicely captures the pick up in the growth of lending from around the start of 2013. What is particularly noticeable is the very strong rates of growth in net unsecured lending from MFIs. The growth of unsecured lending remains above 10 per cent, comparable with rates in the mid 2000s. (Click here to download a PowerPoint of Chart 2.)
The growth in debt stocks arising from lending continues to demonstrate the need for individuals to be mindful of their financial well-being. This caution is perhaps more important given the current economics uncertainties. The role of the Financial Policy Committee in the UK is to monitor the financial well-being of economic agents in the context of ensuring the resilience of the financial system. It therefore analyses the data on credit flows and debt stocks referred to in this blog along with other relevant metrics. At this moment its stance is not to apply any additional buffer – known as the Countercyclical Capital Buffer – on a financial institution’s exposures in the UK over and above internationally agreed standards. Regardless, the fact that it explicitly monitors financial well-being and risk shows just how significant the relationship between the financial system and economic outcomes is now regarded.
Articles
Higher inflation and rising debt threaten millions in UK The Guardian, Angela Monaghan (5/11/16)
Consumer spending has saved the economy in the past – but we cannot bet on it forever Sunday Express, Geff Ho (13/11/16)
Warning as household debts rise to top £1.5 trillion BBC News, Hannah Richardson (7/11/16)
Household debt hits record high – How to get back on track if you’re in the red Mirror, Graham Hiscott (7/12/16)
Data
Money and Credit – September 2016 Bank of England
Bankstats (Monetary and Financial Statistics) – Latest Tables Bank of England
Statistical Interactive Database Bank of England
Questions
- Explain the difference between secured debt and unsecured debt.
- What does it mean if individuals are financially distressed?
- How would we measure the financial well-being of individuals and households?
- What actions might individuals take it they are financially distressed? What might the economic consequences be?
- How might uncertainty, such as that following the UK vote to leave the European Union, affect spending and savings’ decisions by households?
- What measures can institutions, like the UK’s Financial Policy Committee, take to reduce the likelihood that flows of credit become too excessive?
