Economists were generally in favour of the UK remaining in the EU and highly critical of the policy proposals of Donald Trump. And yet the UK voted to leave the EU and Donald Trump was elected.
People rejected the advice of most economists. Many blamed the failure of most economists to predict the 2007/8 financial crisis and to find solutions to the growing gulf between rich and poor, with the majority stuck on low incomes.
So to what extent are economists to blame for the rise in populism – a wave that could lead to electoral upsets in various European countries? The podcast below brings together economists and politicians from across the political spectrum. It is over an hour long and provides an in-depth discussion of many of the issues and the extent to which economists can provide answers.
Podcast
Should economists share the blame for populism? Guardian Politics Weekly podcast, Heather Stewart, joined by Andrew Lilico, Ann Pettifor, Jonathan Portes, Rachel Reeves and Vince Cable (23/2/17)
Questions
- Why has globalisation become a dirty word?
- Assess the arguments for and against an open policy towards immigration?
- In what positive ways may economists contribute to populism?
- Do economists concentrate too much on growth in GDP rather than on its distribution?
- Give some examples of ways in which various popular interpretations of economic phenomena may confuse correlation with causality.
- Why did the proportions of people who voted for and against Brexit differ considerably from one part of the country to another, from one age group to another and from one social group to another?
- In what ways have economists and the subject of economics contributed towards a growth in human welfare?
- What are the advantages and disadvantages of the trend for undergraduate economics curricula to become more mathematical (at least until relatively recently)?
When UK unemployment was 7.7% in July 2013, Mark Carney, the newly arrived governor of the Bank of England, said that the Bank would probably have to rise interest rates when the unemployment rate dropped below 7%. Below that rate, it was expected that inflation would rise. In other words, 7% was the NAIRU – the non-accelerating rate of inflation. The most recent figure for the unemployment rate is 4.8% and yet the Bank of England has not raised interest rates. In fact, in response to the Brexit vote, it cut Bank Rate from 0.5% to 0.25% in August last year. (Click here for a PowerPoint of the chart below.)
The NAIRU is a similar, although not identical, concept to the natural rate of unemployment. The natural rate is the equilibrium rate consistent with an overall long-term balance of aggregate labour demand and supply: i.e. the rate after short-term cyclical movements in unemployment have been discounted. It is thus a long-term concept.
The NAIRU, although similar, focuses on the relationship between inflation and unemployment. With inflation caused solely by demand-side factors, the natural rate and the NAIRU will be similar if not identical. However, if cost-push factors change – say there is a poor harvest, which pushes up food prices and inflation (temporarily), or a substantial depreciation of the exchange rate caused by political factors (such as Brexit) – the NAIRU would increase, at least in the short term, as a higher rate of unemployment would be necessary to stop inflation rising. In the long term, although being defined differently, the NAIRU and the natural rate will be the same.
In practice, because the Bank of England is targeting inflation at a 24-month time horizon, the NAIRU for the UK at that point could also be seen as the natural rate.
So with the Bank of England not raising interest rates despite the considerable fall in the unemployment rate, does this imply a fall in the natural rate of unemployment? The answer is yes. The reason has to do with changes in the structure of the labour market.
The proportion of young people and women with children returning to the labour market has fallen. Such people have a higher-than-average rate of unemployment since they typically spend a period of time searching for a job.
Tax and benefit reforms over the years have increased the incentive for the unemployed to take work.
Perhaps the biggest factor is a greater flexibility in the labour market. As union power has waned and as people are increasingly working on flexible contracts, including zero-hour contracts, so this has moderated wage increases. At the same time, many firms are facing increased competition both from abroad and domestically via the Internet. This has put downward pressure on prices and hence on the wages firms are willing to pay.
The effect has been a fall in the NAIRU and probably the natural rate. Frictions in the labour market have reduced and people losing their jobs because of changes in industrial structure find it easier to get jobs in low-skilled service industries, where employers’ risks of taking on such workers have fallen because of the loss of rights for such workers.
So what is the natural rate of unemployment today? It is certainly much lower than 7%; the consensus is that it is probably below 5%. As Kristin Forbes, External MPC Member of the Bank of England stated in a recent speech:
[Unemployment] is forecast to increase gradually from its current 4.8% to a high of 5.0% in the second half of 2017, before falling back to its current rate by the end of 2019. To put this in context, 5.0% was previously believed to be around the UK’s natural rate of unemployment – the rate below which unemployment could not fall without wages picking up to levels inconsistent with sustaining inflation around the 2% target. Unemployment at 5.0% is also below the average unemployment rate for the UK over the pre-crisis period from 1997 to 2007 (when it was 5.5%).
She went on to discuss just what the figure is for the natural, or ‘equilibrium’, rate of unemployment (U*). One problem here is that there is considerable uncertainty over the figure in the current forecast made by the Bank.
[An] assumption in the forecast about which there is substantial uncertainty is of the equilibrium unemployment rate – or U* for short. Since I have been on the MPC, the Committee has assumed that U* was around 5%. This implied that the more by which unemployment exceeded 5%, the more slack existed in the economy, and the less upward momentum would be expected in wages (controlling for other factors, such as productivity growth).
As part of our annual assessment of regular supply-side conditions this January, Bank staff presented several pieces of analysis that suggested U* may be lower than 5% today [see, for example]. The majority of the MPC voted to lower our estimate of U* to 4.5%, based partly on the persistent weakness of wage growth over the past few years after accounting for other factors in our models. [See page 20 of the February 2017 Inflation Report.]
My own assessment, however, suggested that although U* was likely lower than 5% today, it is likely not as low as 4.5%. If true, this would suggest that there is less slack in the economy than in the MPC’s central forecast, and wage growth and inflation could pick up faster than expected.
Against that, however, uncertainty related to Brexit negotiations could make firms more cautious about raising wages, thereby dampening wage growth no matter where unemployment is relative to its equilibrium. Moreover, even if we could accurately measure the level of U* in the economy today, it could easily change over the next few years as the labour force adjusts to any changes in the movement of labour between the UK and European Union.
Determining the precise figure of the current natural rate of unemployment, and predicting it for the medium term, is very difficult. It involves separating out demand-side factors, which are heavily dependent on expectations. It also involves understanding the wage elasticity of labour supply in various markets and how this has been affected by the increased flexibility of these markets.
Articles
When will Britons get a pay rise? The Guardian, Phillip Inman (26/2/17)
BoE decision, Inflation Report – Analysts react DigitalLook, Alexander Bueso (2/2/17)
Bank of England hikes UK economic growth forecasts but warns of rising inflation The Telegraph, Szu Ping Chan (2/2/17)
Bank of England publications
Inflation Report Bank of England (February 2017)
A MONIAC (not manic) economy Bank of England Speeches, Kristin Forbes (8/2/17)
The labour market Bank of England Speeches, Michael Saunders (31/1/17)
Questions
- Distinguish between the following terms: natural rate of unemployment, NAIRU, equilibrium rate of unemployment, disequilibrium rate of unemployment.
- For what reasons did the Monetary Policy Committee members feel that the equilibrium rate of unemployment might be as low as 4.25%?
- Why might it be as high as 5%?
- How are changes in migration trends likely to affect (a) wage growth and (b) unemployment?
- How is the amount of slack in an economy measured? What impact does the degree of slack have on wage growth and inflation?
- What is meant by the ‘gig’ economy? How has the development of the gig economy impacted on unemployment and wages?
- Why has there been a considerable rise in self employment?
- How may questions of life style choice and control over the hours people wish to work impact on the labour market?
- If people are moving jobs less frequently, does this imply that the labour market is becoming less flexible?
- Why may firms in the current climate be cautious about raising wages even if aggregate demand picks up?
Cloud computing is growing rapidly and has started to dominate many parts of the IT market. Cloud revenues are rising at around 25% per year and, according to Jeremy Duke of Synergy Research Group:
“Major barriers to cloud adoption are now almost a thing of the past, especially on the public-cloud side. Cloud technologies are now generating massive revenues for technology vendors and cloud service providers, and yet there are still many years of strong growth ahead.”
The market leader in cloud services (as opposed to cloud hardware) is Amazon Web Services (AWS), a subsidiary of Amazon. At the end of 2016, it had a market share of around 40%, larger than the next three competitors (Microsoft, Google and IBM), combined. AWS originated cloud computing some 10 years ago. It is set to have generated revenue of $13 billion in 2016.
The cloud computing services market is an oligopoly, with a significant market leader, AWS. But is the competition from other players in the market, including IT giants, such as Google, Microsoft, IBM and Oracle, enough to guarantee that the market stays competitive and that prices will fall as technology improves and costs fall?
Certainly all the major players are investing heavily in new services, better infrastructure and marketing. And they are already established suppliers in other sectors of the IT market. Microsoft and Google, in particular, are strong contenders to AWS. Nevertheless, as the first article states:
Neither Google nor Microsoft have an easy task since AWS will continue to be an innovation machine with a widely recognized brand among the all-important developer community. Both Amazon’s major competitors have an opportunity to solidify themselves as strong alternatives in what is turning into a public cloud oligopoly.
Articles
While Amazon dominates cloud infrastructure, an oligopoly is emerging. Which will buyers bet on? diginomica, Kurt Marko (16/2/17)
Study: AWS has 45% share of public cloud infrastructure market — more than Microsoft, Google, IBM combined GeekWire, Dan Richman (31/10/16)
Cloud computing revenues jumped 25% in 2016, with strong growth ahead, researcher says GeekWire, Dan Richman (4/1/17)
Data
Press releases Synergy Research Group
Questions
- Distinguish the different segments of the cloud computing market.
- What competitive advantages does AWS have over its major rivals?
- What specific advantages does Microsoft have in the cloud computing market?
- Is the amount of competition in the cloud computing market enough to prevent the firms from charging excessive prices to their customers? How might you assess what is ‘excessive’?
- What barriers to entry are there in the cloud computing market? Should they be a worry for competition authorities?
- Are the any network economies in cloud computing? What might they be?
- Cloud computing is a rapidly developing industry (for example, the relatively recent development of cloud containers). How does the speed of development impact on competition?
- How would market saturation affect competition and the behaviour of the major players?
Both the financial and goods markets are heavily influenced by sentiment. And such sentiment tends to be self-reinforcing. If consumers and investors are pessimistic, they will not spend and not invest. The economy declines and this further worsens sentiment and further discourages consumption and investment. Banks become less willing to lend and stock markets fall. The falling stock markets discourage people from buying shares and so share prices fall further. The despondency becomes irrational and greatly exaggerates economic fundamentals.
This same irrationality applies in a boom. Here it becomes irrational exuberance. A boom encourages confidence and stimulates consumer spending and investment. This further stimulates the boom via the multiplier and accelerator and further inspires confidence. Banks are more willing to lend, which further feeds the expansion. Stock markets soar and destabilising speculation further pushes up share prices. There is a stock market bubble.
But bubbles burst. The question is whether the current global stock market boom, with share prices reaching record levels, represents a bubble. One indicator is the price/earnings (PE) ratio of shares. This is the ratio of share prices to earnings per share. Currently the ratio for the US index, S&P 500, is just over 26. This compares with a mean over the past 147 years of 15.64. The current ratio is the third highest after the peaks of the early 2000s and 2008/9.
An alternative measure of the PE ratio is the Shiller PE ratio (see also). This is named after Robert Shiller, who wrote the book Irrational Exuberance. Unlike conventional PE ratios, which only look at average earnings over the past four quarters, the Shiller PE ratio uses average earnings over the past 10 years. “Because this factors in earnings from the previous ten years, it is less prone to wild swings in any one year.”
The current level of the Shiller PE ratio is 29.14, the third highest on record, this time after the period running up to the Wall Street crash of 1929 and the dot-com bubble of the late 1990s. The mean Shiller PE ratio over the past 147 years is 16.72.
So are we in a period of irrational exuberance? And are stock markets experiencing a bubble that sooner or later will burst? The following articles explore these questions.
Articles
2 Clear Instances of Irrational Exuberance Seeking Alpha, Jeffrey Himelson (12/2/17)
Promised land of Trumpflation-inspired global stimulus has been slow off the mark South China Morning Post, David Brown (20/2/17)
A stock market crash is a way off, but this boom will turn to bust The Guardian, Larry Elliott (16/2/17)
The “boring” bubble is close to bursting – the Unilever bid proves it MoneyWeek, John Stepek (20/2/17)
Questions
- Find out what is meant by Minksy’s ‘financial instability hypothesis’ and a ‘Minsky moment’. How might they explain irrational exuberance and the sudden turning point from a boom to a bust?
- Is it really irrational to buy shares with a very high PE ratio if everyone else is doing so?
- Why are people currently exuberant?
- What might cause the current exuberance to end?
- How does irrational exuberance affect the size of the multiplier?
- How might the behaviour of banks and other financial institutions contribute towards a boom fuelled by irrational exuberance?
- Compare the usefulness of a standard PE ratio with the Shiller PE ratio.
- Other than high PE ratios, what else might suggest that stock markets are overvalued?
- Why might a company’s PE ratio differ from its price/dividends ratio (see)? Which is a better measure of whether or not a share is overvalued?
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?
