I recently found myself talking about my favourite TV shows from my childhood. Smurfs aside, the most popular one for me (and I suppose for many other people from my generation) had to be Knight Rider. It was a story about a crime fighter (David Hasselhoff) and his a heavily modified, artificially intelligent Pontiac Firebird. ‘Kitt’ was a car that could drive itself, engage in thoughtful and articulate conversations, carry out missions and (of course) come up with solutions to complex problems! A car that was very far from what was technologically possible in the 80s – and this was part of its charm.
Today this technology is becoming reality. Google, Tesla and most major automakers are testing self-driving cars with many advanced features like Kitt’s – if not better. They may not fire rockets, but they can drive themselves; they can search the internet; they can answer questions in a language of your choice; and they can be potentially integrated with a number of other technologies (such as car sharing apps) to revolutionise the way we own and use our cars. It will take years until we are able to purchase and use a self-driving car – but it appears very likely that this technology is going to become roadworthy within our lifetime.
Artificial intelligence (AI) is already becoming part of our life. You can buy a robotic vacuum cleaner online for less than a £1000. You can get gadgets like Amazon’s Alexa, that can help you automate your supermarket shopping, for instance. If you are Saudi, you can boast that you are compatriots with a humanoid: Saudi Arabia was the first country to grant citizenship to Sophia, an impressive humanoid and apparently a notorious conversationalist who does not miss an opportunity to address a large audience – and it has done so numerous times already in technology fairs, national congresses – even the UN Assembly! Sophia is the first robot to be honoured with a UN title!
What will be the impact of such technologies on labour markets? If cars can drive themselves, what is going to happen to the taxi drivers? Or the domestic housekeepers – who may find themselves increasingly displaced by cleaning robots. Or warehouse workers who may find themselves displaced by delivery bots (did you know that Alibaba, the Chinese equivalent of eBay, owns a warehouse where most of the work is carried out by robots?). There is no doubt that labour markets are bound to change. But should we (the human labour force) be worried about it? Acemoglu et al (2017) think that we should:
Using a model in which robots compete against human labor in the production of different tasks, we show that robots may reduce employment and wages […] According to our estimates, one more robot per thousand workers reduces the employment to population ratio by about 0.18–0.34 percentage points and wages by 0.25–0.5 per cent.
Automation is likely to affect unskilled workers more than skilled ones, as unskilled jobs are the easiest ones to automate. This could have widespread social implications, as it might widen the divide between the poor (who are more likely to have unskilled jobs) and the affluent (who are more likely to own AI technologies). As mentioned in a recent Boston Consulting Group report (see below):
The future of work is likely to involve large structural changes to the labour market and potentially a net loss of jobs, mostly in routine occupations. An estimated 15 million UK jobs could be at risk of automation, with 63 per cent of all jobs impacted to a medium or large extent.
On the other hand, the adoption of automation is likely to result in higher efficiency, huge productivity gains and less waste. Automation will enable us to use the resources that we have in the most efficient way – and this is bound to result in wealth creation. It will also push human workers away from manual, routine jobs – and it will force them to acquire skills and engage in creative thinking. One thing is for certain: labour markets are changing and they are changing fast!
- What do you think is going to be the effect of automation on labour market participation in the future? Why?
- Using the Solow growth model, explain how automation is likely to affect economic growth and capital returns.
- In the context of the answer you gave to question 2, explain how human capital accumulation may affect the ability of workers to benefit from automation.
 Daron Acemoglu and Pascual Restrepo, Robots and Jobs: Evidence from US Labor Markets, NBER Working Paper No. 23285 (March 2017)
Each January, world political and business leaders gather at the ski resort of Davos in Switzerland for the World Economic Forum. They discuss a range of economic and political issues with the hope of guiding policy.
This year, leaders meet at a time when the global political context has and is changing rapidly. This year the focus is on ‘Creating a Shared Future in a Fractured World’. As the Forum’s website states:
The global context has changed dramatically: geostrategic fissures have re-emerged on multiple fronts with wide-ranging political, economic and social consequences. Realpolitik is no longer just a relic of the Cold War. Economic prosperity and social cohesion are not one and the same. The global commons cannot protect or heal itself.
One of the main ‘fissures’ which threatens social cohesion is the widening gap between the very rich and the rest of the world. Indeed, inequality and poverty is one of the main agenda items at the Davos meeting and the Forum website includes an article titled, ‘We have built an unequal world. Here’s how we can change it’ (see second link in the Articles below). The article shows how the top 1% captured 27% of GDP growth between 1980 and 2016.
The first Guardian article below identifies seven different policy options to tackle the problem of inequality of income and wealth and asks you to say, using a drop-down menu, which one you think is most important. Perhaps it’s something you would like to do.
Project Davos: what’s the single best way to close the world’s wealth gap? The Guardian, Aidan Mac Guill (19/1/18)
We have built an unequal world. Here’s how we can change it World Economic Forum, Winnie Byanyima (22/1/18)
Oxfam highlights sharp inequality as Davos elite gathers ABC news, Pan Pylas (21/1/18)
Inequality gap widens as 42 people hold same wealth as 3.7bn poorest The Guardian, Larry Elliott (22/1/18)
There’s a huge gender component to income inequality that we’re ignoring Business Insider, Pedro Nicolaci da Costa (22/1/18)
Ahead of Davos, even the 1 percent worry about inequality Washington Post, Heather Long (22/1/18)
“Fractures, Fears and Failures:” World’s Ruling Elites Stare into the Abyss GlobalResearch, Bill Van Auken (18/1/18)
Why the world isn’t getting a pay raise CNN Money, Patrick Gillespie and Ivana Kottasová (1/11/17)
Articles on Inequality World Economic Forum
- Distinguish between income and wealth. In global terms, which is distributed more unequally?
- Why has global inequality of both income and wealth grown?
- Explain which of the seven policy options identified by the Guardian you would choose/did choose?
- Go through each one of the seven policy options and identify what costs would be associated with pursuing it.
- Identify any other policy options for tackling the problem.
Where you live in Great Britain can have a profound effect on your earning potential. According to a report published by the Social Mobility Commission, there is a growing geographical divide, with more affluent areas getting relatively richer, while ‘many other parts of the country are being left behind economically and hollowed out socially’.
The Commission uses a Social Mobility Index to rank the 324 local authorities in England. The index is a measure of the social mobility prospects for people from disadvantaged backgrounds. It is ‘made up of 16 key performance indicators spanning each major life stage’.
The index shows that children from disadvantaged backgrounds have lower educational attainment, poorer initial jobs and poorer prospects for advancement in the labour market. Often they are stuck in low paid jobs with little chance of getting on the housing ladder and fewer chances of moving away from the area.
The problem is not simply one of a North-South divide or one of inner cities versus the suburbs. Many inner-city areas have been regenerated, with high incomes and high social and geographical mobility. Other inner-city areas remain deprived.
The worst performing areas are remote rural or coastal areas and former industrial areas, where industries have closed. As the author of the report states in the Guardian article linked below:
These areas have fewer specialist teachers, fewer good schools, fewer good jobs and worse transport links. … Many of these areas have suffered from a lack of regeneration: few high-paying industries are located there, and they often exhibit relatively limited job opportunities and clusters of low pay.
The problem often exists within areas, with some streets exhibiting growing affluence, where the residents have high levels of social mobility, while other streets have poor housing and considerable levels of poverty and deprivation. Average incomes for such areas thus mask this type of growing divide within areas. Indeed, some of the richest areas have worse outcomes for disadvantaged children than generally poorer areas.
There are various regional and local multiplier effects that worsen the situation. Where people from disadvantaged backgrounds are successful, they tend to move away from the deprived areas to more affluent ones, thereby boosting the local economy in such areas and providing no stimulus to the deprived areas. And so the divide grows.
Policies, according to the report, need to focus public investment, and incentives for private investment, in deprived areas. They should not focus simply on whole regions. You can read the specific policy recommendations in the articles below.
Social mobility is a stark postcode lottery. Too many in Britain are being left behind The Guardian, Alan Milburn (28/11/17)
State of the Nation – Sector Response FE News (28/11/17)
Social mobility: the worst places to grow up poor BBC News, Judith Burns and Adina Campbell (28/11/17)
How Britain’s richest regions offer worst prospects for poor young people Independent, May Bulman (28/11/17)
Small Towns Worst Places In Britain For Social Mobility, New ‘State Of The Nation’ Report Reveals Huffington Post, Paul Waugh (28/11/17)
Social mobility in Great Britain: fifth state of the nation report Social Mobility Commission, News (28/11/17)
Fifth State of the Nation Report Social Mobility Commission, News (28/11/17)
- Explain how local multipliers operate.
- What is the relationship between social immobility as identified in the report and the elasticity of supply of labour in specific jobs?
- What is the link between geographical, occupational and social mobility?
- Explain why, apart from London, English cities are ‘punching below their weight on social mobility outcomes’.
- Go through each of the key policy recommendations of the report and consider the feasibility of introducing them.
- What policies could be adopted to retain good teachers in schools in deprived areas?
- To what extent might an increased provision of training ease the problem of social mobility?
- Investigate policies adopted in other European countries to tackle local deprivation. Are there lessons that can be learned by the UK government, devolved governments, local authorities or other agencies?
Thirty years ago, on Monday 19 October 1987, stock markets around the world tumbled. The day has been dubbed ‘Black Monday’. Wall Street fell by 22% – its biggest ever one-day fall. The FTSE 100 fell by 10.8% and by a further 12.2% the next day.
The crash caught most people totally by surprise and has never been fully explained. The most likely cause was an excessive rise in the previous three years, when share prices more than doubled. This was combined with the lack of ‘circuit breakers’, which today would prevent excessive selling, and a ‘herd’ effect as people rushed to get out of shares before they fell any further, creating a massive wave of destabilising speculation.
Within a few weeks, share prices started rising again and within three years shares were once again trading at levels before Black Monday.
Looking back to the events of 30 years ago, the question many fund managers and others are asking is whether global stock markets are in for another dramatic downward correction. But there is no consensus of opinion about the answer.
Those predicting a downward correction – possibly dramatic – point to the fact that stock markets, apart from a dip in mid-2016, have experienced several years of growth, with yields now similar to those in 1987. Price/earnings ratios, at around 18, are high relative to historical averages.
What is more, the huge increases in money supply from quantitative easing, which helped to inflate share prices, are coming to an end. The USA ceased its programme three years ago and the ECB is considering winding down its programme.
Also, once a downward correction starts, destabilising speculation is likely to kick in, with people selling shares before they go any lower. This could be significantly aggravated by the rise of electronic markets with computerised high-frequency trading.
However, people predicting that there will be little or no downward correction, and even a continuing bull market, point to differences between now and 1987. First, the alternatives to shares look much less attractive than then. Bond yields and interest rates in banks (at close to zero), unlike in 1987, are much lower than the dividend yields on shares (at around 4%). Second, there are circuit breakers in stock markets that suspend dealing in cases of large falls.
But even if there is a downward correction, it will probably be relatively short-lived, with the upward trend in share prices continuing over the long term. If you look at the chart above, you can see this trend, but you can also see periods of falling share prices in the late 1990s/early 2000s and in the financial crisis of 2008–9. Looking back to 1987, it seems like a mere blip from the perspective of 30 years – but it certainly didn’t at the time.
Three decades since Black Monday – are markets on the verge of another tumble? The Telegraph, Lucy Burton (19/10/17)
Black Monday: 30 years on from the 1987 crash Citywire, Michelle McGagh (19/10/17)
30 Years Ago: Lessons From the 1987 Market Crash U.S.News, Debbie Carlson (12/10/17)
Black Monday: Can a 1987-style stock market crash happen again? USA Today, Adam Shell (19/10/17)
Black Monday anniversary: How the 2017 stock market compares with 1987 MarketWatch, William Watts (19/10/17)
30 years after Black Monday, could stock market crash again? MarketWatch, William Watts (19/10/17)
The Crash of ’87, From the Wall Street Players Who Lived It Bloomberg, Richard Dewey (19/10/17)
- Explain what are meant by ‘bull markets’ and ‘bear markets’.
- Share prices are determined by demand and supply. Identify the various demand- and supply-side factors that have led to the current long bull-market run.
- What caused the Black Monday crash in 1987?
- For what reasons may global stock markets soon (a) experience, (b) not experience a downward correction?
- Distinguish between stabilising speculation and destabilising speculation on stock markets.
- What determines when a downward correction on stock markets bottoms out?
- Explain how stock market circuit breakers work. Can they prevent a fundamental correction?
- Does the rise in computerised trading make a stock market crash more or less likely?
In various blogs, we’ve looked at the UK’s low productivity growth, both relative to other countries and relative to the pre-1998 financial crisis (see, for example, The UK productivity puzzle and Productivity should we be optimistic?). Productivity is what drives long-term economic growth as it determines potential GDP. If long-term growth is seen as desirable, then a fall in productivity represents a serious economic problem.
Recent data suggest that the problem, if anything, is worse than previously thought and does not seem to be getting better. Productivity is now some 21% below what it would have been had productivity growth continued at the rate experienced in the years before the financial crisis (see second chart below).
In its latest productivity statistics, the ONS reports that labour productivity (in terms of output per hour worked) fell by 0.1% in the second quarter of 2017. This follows a fall of 0.5% in quarter 1. Over the whole year to 2017 Q2, productivity fell by 0.3%.
Most other major developed countries have much higher productivity than the UK. In 2016, Italy’s productivity was 9.9% higher than the UK’s; the USA’s was 27.9%, France’s was 28.7% and Germany’s was 34.5% higher. What is more, their productivity has grown faster (see chart).
But what of the future? The Office for Budget responsibility publishes forecasts for productivity growth, but has consistently overestimated it. After predicting several times in the past that UK productivity growth would rise towards its pre-financial crisis trend of around 2% per year, in its October 2017 Forecast evaluation Report it recognises that this was too optimisitic and revises downwards its forecasts for productivity growth for 2017 and beyond.
As the period of historically weak productivity growth lengthens, it seems less plausible to assume that potential and actual productivity growth will recover over the medium term to the extent assumed in our most recent forecasts. Over the past five years, growth in output per hour has averaged 0.2 per cent. This looks set to be a better guide to productivity growth in 2017 than our March forecast of 1.6 per cent.
Looking further ahead, it no longer seems central to assume that productivity growth will recover to the 1.8 per cent we assumed in March 2017 within five years.
But why has productivity growth not returned to pre-crisis levels? There are five possible explanations.
The first is that there has been labour hoarding. But with companies hiring more workers, this is unlikely still to be true for most employers.
The second is that very low interest rates have allowed some low-productivity companies to survive, which might otherwise have been driven out of business.
The third is a reluctance of banks to lend for investment. After the financial crisis this was driven by the need for them to repair their balance sheets. Today, it may simply be greater risk aversion than before the financial crisis, especially with the uncertainties surrounding Brexit.
The fourth is a fall in firms’ desire to invest. Although investment has recovered somewhat from the years directly following the financial crisis, it is still lower than might be expected in an economy that is no longer is recession. Indeed, there has been a much slower investment recovery than occurred after previous recessions.
The fifth is greater flexibility in the labour market, which has subdued wages and has allowed firms to respond to higher demand by taking on more relatively low-productivity workers rather than having to invest in human capital or technology.
Whatever the explanation, the solution is for more investment in both technology and in physical and human capital, whether by the private or the public sector. The question is how to stimulate such investment.
UK productivity lagging well behind G7 peers – ONS Financial Times, Katie Martin (6/10/17)
UK productivity sees further fall BBC News (6/10/17)
UK resigned to endless productivity gloom The Telegraph, Tim Wallace (10/10/17)
UK productivity estimates must be ‘significantly’ lowered, admits OBR The Guardian, Richard Partington and Phillip Inman (10/10/17)
UK productivity growth to remain sluggish, says OBR BBC News (10/10/17)
Official Treasury forecaster slashes UK productivity growth forecast, signalling hole in public finances for November Budget Independent, Ben Chu (10/10/17)
The Guardian view on Britain’s productive forces: they are not working The Guardian, Editorial (10/10/17)
Mind the productivity gap: the story behind sluggish earnings The Telegraph, Anna Isaac (26/10/17)
Data and statistical analysis
Labour productivity: April to June 2017 ONS Statistical Bulletin (6/10/17)
International comparisons of productivity ONS Dataset (6/10/17)
Forecast evaluation report OBR (October 2017)
- Explain the relationship between labour productivity and potential GDP.
- What is the relationship between actual growth in GDP and labour productivity?
- Why does the UK lag France and Germany more in output per hour than in output per worker, but the USA more in output per worker than in output per hour?
- Is there anything about the UK system of financing investment that results in lower investment than in other developed countries?
- Why are firms reluctant to invest?
- In what ways could public investment increase productivity?
- What measures would you recommend to encourage greater investment and why?
- How do expectations affect the growth in labour productivity?