The UK’s Low Pay Commission has just published its annual report. This shows that the lowest-paid 20% of workers aged 25 and over benefited from last April’s 4.4% rise in the ‘National Living Wage (NLW)’, the name the government gives to the statutory minimum wage for people in this age group. Although only around 6.5% of such workers are paid at the NLW, when it rises this tends to push up wage rates which are just above the NLW as employers seek to maintain the differential.
If the new NLW is above the equilibrium rate for those receiving it, it would be expected that firms would respond by employing fewer workers. However, the Low Pay Commission found no evidence that rises in the NLW caused unemployment. Instead, employers responded by combinations of increasing prices, accepting lower profit margins, restructuring their workforce and reducing the gaps between pay bands.
Over the longer term, employers often seek to increase labour productivity to offset the higher cost per worker of paying increased minimum wage rates. This, however, could lead to a reduction in employment if it involves substituting capital for labour or if greater labour efficiency does not result in a sufficient increase in total output to compensate for an increase in output per worker.
Report and data
- Demonstrate on a supply and demand diagram for a perfectly competitive labour market the impact of a rise in the minimum wage on employment and unemployment in that market. Assume that the market is initially in equilibrium at the previous minimum wage rate.
- For what reasons in such markets may a rise in the minimum wage not lead to a rise in unemployment?
- Now demonstrate the effect of a rise in the minimum wage in a monopsonistic market. Assume that the previous minimum wage was previously being paid by the employer.
- For what reasons may the employer in the previous question choose to retain employment at the current level?
- For what reasons may the effect of a rise in the minimum wage be different in the long run from the short run?
- How can employers avoid paying the minimum wage (a) when workers work in the ‘gig’ economy; (b) when workers have to travel as part of their job: e.g. care workers moving from house to house; (c) workers working from home producing items for an employer, such as clothing or jewelry, or providing a service such as telesales?
The articles below examine the rise of the sharing economy and how technology might allow it to develop. A sharing economy is where owners of property, equipment, vehicles, tools, etc. rent them out for periods of time, perhaps very short periods. The point about such a system is that the renter deals directly with the property owner – although sometimes initially through an agency. Airbnb and Uber are two examples.
So far the sharing economy has not developed very far. But the development of smart technology will soon make a whole range of short-term renting contracts possible. It will allow the contracts to be enforced without the need for administrators, lawyers, accountants, bankers or the police. Payments will be made electronically and automatically, and penalties, too, could be applied automatically for not abiding by the contract.
One development that will aid this process is a secure electronic way of keeping records and processing payments without the need for a central authority, such as a government, a bank or a company. It involves the use of ‘blockchains‘ (see also). The technology, used in Bitcoin, involves storing data widely across networks, which allows the data to be shared. The data are secure and access is via individuals having a ‘private key’ to parts of the database relevant to them. The database builds in blocks, where each block records a set of transactions. The blocks build over time and are linked to each other in a logical order (i.e. in ‘chains’) to allow tracking back to previous blocks.
Blockchain technology could help the sharing economy to grow substantially. It could significantly cut down the cost of sharing information about possible rental opportunities and demands, and allow minimal-cost secure transactions between owner and renter. As the IBM developerWorks article states:
Rather than use Uber, Airbnb or eBay to connect with other people, blockchain services allow individuals to connect, share, and transact directly, ushering in the real sharing economy. Blockchain is the platform that enables real peer-to-peer transactions and a true ‘sharing economy’.
New technology may soon resurrect the sharing economy in a very radical form The Guardian, Ben Tarnoff (17/10/16)
Blockchain and the sharing economy 2.0 IBM developerWorks, Lawrence Lundy (12/5/16)
2016 is set to become the most interesting year yet in the life story of the sharing economy Nesta, Helen Goulden (Dec 2015)
Blockchain Explained Business Insider, Tina Wadhwa and Dan Bobkoff (16/10/16)
A parliament without a parliamentarian Interfluidity, Steve Randy Waldman (19/6/16)
Blockchain and open innovation: What does the future hold Tech City News, Jamie QIU (17/10/16)
Banks will not adopt blockchain fast Financial Times, Oliver Bussmann (14/10/16)
Blockchain-based IoT project does drone deliveries using Ethereum International Business Times, Ian Allison (14/10/16)
- What do you understand by the ‘sharing economy’?
- Give some current examples of the sharing economy? What other goods or services might be suitable for sharing if the technology allowed?
- How could blockchain technology be used to cut out the co-ordinating role carried out by companies such as Uber, eBay and Airbnb and make their respective services a pure sharing economy?
- Where could blockchain technology be used other than in the sharing economy?
- How can blockchain technology not only record property rights but also enforce them?
- What are the implications of blockchain technology for employment and unemployment? Explain.
- How might attitudes towards using the sharing economy develop over time and why?
- Referring to the first article above, what do you think of Toyota’s use of blockchain to punish people who fall behind on their car payments? Explain your thinking.
- Would the use of blockchain technology in the sharing economy make markets more competitive? Could it make them perfectly competitive? Explain.
Women in the UK on average earn less per hour than men. According to the Annual Survey of Hours and Earnings, the mean hourly pay for women in 2015 was 17.5% less than that for men. This figure is for all employees, full and part time. As far as full-time employees is concerned, the gap was slightly smaller at 13.9%. Nevertheless, as you can see from Table 6 in the linked Excel file, these gaps have decreased in recent years – but only slightly.
A recent paper from the Institute for Fiscal Studies has disaggregated the figures to give a better picture of this wage gap. It finds that having children is a major contributing factor to the gap. It also finds that this has a bigger impact on the earnings of graduates and those without a degree but with A levels.
On entry to the labour market, men and women earn roughly the same. People’s wages tend to rise during their 20s, but men’s rise slightly faster than women’s, causing a pay gap to open and widen – but slowly at first. Average (mean) men’s wages continue to grow during their 30s and a bit during their 40s. However, average women’s wages flatline. Thus the wage gap grows substantially, especially for the higher educated.
The paper argues that the arrival of children is a major contributing factor to this picture. It looks at the gap before and after the arrival of children. “The crucial observation is that the gap opens up gradually after the first child arrives and continues to widen for many years after that point.” By 12 years after the first child is born, the wage gap has widened to 33%.
The paper does not offer reasons for the small gap that exists before the arrival of children. But it does give possible reasons for the widening gap after having children. A major one, it suggests, has to do with labour market experience.
“As women are likely to do less paid work after the arrival of children, the level of labour market experience they have falls further and further behind that of their male counterparts, and the wage gap therefore widens.” They may also miss out on promotions.
Each year a woman spends away from the labour market is associated with an average 2% drop in pay compared with those who remain in work. For those with at least A levels, the penalty is 4%; but there is no drop in pay for those without A levels.
Other possible explanations include mothers taking work that requires a lower skill level, and at lower hourly pay, in order to gain flexibility in working hours. However, the evidence suggests that women who move to part-time work on having a child suffer no immediate drop in pay. But their hourly pay does grow more slowly, thus contributing to a widening of the gap.
Another explanation is employers exercising market power to discriminate against women with children. The paper does not consider this explanation.
The articles discussing the paper look at policy implications and identify various things that can be done to narrow the gap. Read the paper and articles and try answering the questions below.
Videos and podcasts
IFS: gender pay gap widens after first child Compendium of News Reports from BBC News at Six, Channel 4 News, ITV News at Ten and BBC Newsnight from Incorrigible Forever on YouTube (23/8/16)
Gender Pay Gap Hits Women With Children Hardest Sky News (23/8/16)
In Business: Supportive partner = success at work World of Business, BBC Radio 4, Peter Day (25/8/15)
Gender Pay Gap More or Less, BBC Radio 4, Tim Harford (26/8/16)
Gender pay gap: Why do mums increasingly earn less? BBC Victoria Derbyshire programme (23/8/16)
UK women still far adrift on salary and promotion as gender pay gap remains a gulf The Guardian, Katie Allen (23/8/16)
Gender pay gap: mothers returning to work earn a third less than men The Telegraph, Tim Wallace (23/8/16)
Mothers’ pay lags far behind men BBC News (23/8/16)
Four ways the gender pay gap isn’t all it seems BBC News Magazine, Simon Maybin (29/8/16)
Six ways to tackle the gender pay gap BBC News, Emma Atkinson (23/8/16)
Wage gap for UK women unchanged in 20 years Financial Times, Gemma Tetlow (23/8/16)
The UK’s slow march to gender pay equality Financial Times (23/8/16)
Gender Pay Gap For Mothers Widens For 12 Years After Having Children, New Research Finds Huffington Post, Jack Sommers (23/8/16)
Motherhood costs women a third of their salary compared to men, report reveals Independent, Joe Watts (23/8/16)
The gender pay gap means that more women will be in poverty later in life – but there is something the government can do Independent, Claire Turner (26/8/16)
Gender pay gap won’t close until 2069, says Deloitte The Guardian, Katie Allen (24/9/16)
Papers and Reports
Gender wage gap grows year on year after childbirth as mothers in low-hours jobs see no wage progression IFS Press Release (23/8/16)
The Gender Wage Gap IFS Briefing Note BN18, William Elming , Robert Joyce and Monica Costa Dias (23/8/16)
Women in STEM: Technology, career pathways and the gender pay gap Deloitte (September 2016)
Gender pay differences: Annual Survey of Hours and Earnings: 2015 Provisional Results ONS Statistical Bulletin (18/11/15)
All data related to Annual Survey of Hours and Earnings: 2015 Provisional Results ONS datasets (18/11/15)
ASHE 1997 to 2015 selected estimates (See Tables 1 to 4, 6 and 9) ONS dataset (18/11/15)
All Employees – ASHE: Table 1 ONS dataset (18/11/15)
- Identify possible reasons for the wage gap between men and women.
- Why is the median wage gap different from the mean wage gap?
- Why is the wage penalty for periods without work greater for more highly educated women?
- To what extent is the gender wage gap a reflection of marginal productivity differences?
- Is the gender pay gap primarily about men and women being paid differently for doing the same job?
- What evidence is provided by the Chartered Management Institute (CMI) on women’s lack of pay progression?
- What could the government do to reduce the wage gap?
- Discuss the relative effectiveness of different policy alternatives.
Research published by the Institute for Fiscal Studies shows that graduates from wealthier family backgrounds earn significantly more than those from poorer backgrounds. If you compare the 20% of graduates from the richest backgrounds with the remaining 80%, the average earnings gap in 2012/13, 10 years after graduation, was £8000 per year for men and £5300 for women. Even when you take graduates in similar degrees from similar universities, there is still a gap of around 10% between those from richer and those from poorer backgrounds.
The research also shows that in 2012/13, 10 years after graduation, the median earnings for economics graduates was the second highest of any subject (just behind graduates in medicine) and that at the 90th percentile economics graduates had the highest earnings (£93 900 for women and £121 400 for men) of any subject. In fact, graduates in economics were the only males at this percentile earning over £100 000. (Click here for a PowerPoint of the chart.) As the Press Release to the IFS working paper states:
For males, it is estimated that approximately 12% of economics graduates earned above £100 000 some ten years after graduation; by contrast, 6% of those studying medicine or law earned more than £100 000.
For females, it is estimated that approximately 9% of economics graduates earned above £100 000 some ten years after graduation; by contrast, just 1% of those studying medicine and 3% of those studying law did so.
For some subjects, graduates earned little more than non-graduates.
Those studying the creative arts had the lowest earnings, and indeed earned no more on average than non-graduates.
The research also shows that earnings vary substantially by gender and university. For those earning £8000 or more, the median earnings for male graduates 10 years after graduation was £30 000 (compared with £21 000 for non-graduates), whereas for women it was £27 000 (compared with £18 000 for non-graduates).
Earnings are substantially higher for graduates from some universities, such as Oxford, Cambridge and the LSE. “At the other end of the spectrum, there were some institutions (23 for men and 9 for women) where the median graduate earnings were less than those of the median non-graduate ten years on.” Differences in graduate earnings by university tend to compound the difference by students’ family background as those from poorer backgrounds disproportionately attend universities with lower average graduate earnings by discipline.
The following articles consider the findings and their implications for higher education policy
Graduates from wealthy backgrounds reap earnings benefits Times Higher Education, John Morgan (13/4/16)
Graduate Earnings Guided By Parents’ Wealth, Institute For Fiscal Studies Report Finds Huffington Post, George Bowden (13/4/16)
Graduates from poorer backgrounds earn less than richer peers on same course, major international study finds Independent. Oliver Wright (13/4/16)
Richer students have higher graduate income, study finds The Guardian (13/4/16)
Want a Higher Salary? It Helps If You’re a Man With Rich Parents Bloomberg, Robert Hutton (13/4/16)
Economics graduates are in the money Why Study Economics? Economics in Action blog (15/4/16)
What and where you study matter for graduate earnings – but so does parents’ income IFS Press Release (13/4/16)
How English domiciled graduate earnings vary with gender, institution attended, subject and socio-economic background IFS Working Paper W16/06, Jack Britton, Lorraine Dearden, Neil Shephard and Anna Vignoles (13/4/16)
Free Online Statistics – Students & qualifiers Higher Education Statistics Agency (HESA)
Applications and acceptances for types of higher education course – 2015 UCAS
What do graduates do? Higher Education Careers Services Unit
- For what reasons are graduates from rich backgrounds likely to earn substantially more than graduates from poor backgrounds?
- Why are graduates in economics likely to earn more than graduates in other subjects, especially those in the top percentile of earners from any given subject?
- How might marginal productivity help to explain the differences in earnings of different graduates?
- What are meant by ‘soft skills’. Why may students from richer backgrounds have better soft skills in the context of (a) university admission and (b) getting a job on graduation?
- Why are female graduates likely to earn less than male graduates with the same class of degree in the same subject?
- What could be done by (a) universities and (b) the government to increase social mobility?
- Do you think that the findings of the research have implications for the way students’ study is funded? Explain.
What will production look like in 20 years time? Will familiar jobs in both manufacturing and the services be taken over by robots? And if so, which ones? What will be the effect on wages and on unemployment? Will most people be better off, or will just a few gain while others get by with minimum-wage jobs or no jobs at all?
The BBC has been running a series looking at new uses for robots and whether they will take people’s jobs? This complements three reports: one by Boston Consulting one by Deloitte and an earlier one by Deloitte and Michael Osborne and Carl Frey from Oxford University’s Martin School. As Jane Wakefield, the BBC’s technology reporter states:
Boston Consulting Group predicts that by 2025, up to a quarter of jobs will be replaced by either smart software or robots, while a study from Oxford University has suggested that 35% of existing UK jobs are at risk of automation in the next 20 years.
Jobs at threat from machines include factory work, office work, work in the leisure sector, work in medicine, law, education and other professions, train drivers and even taxi and lorry drivers. At present, in many of these jobs machines work alongside humans. For example, robots on production lines are common, and robots help doctors perform surgery and provide other back-up services in medicine.
A robot may not yet have a good bedside manner but it is pretty good at wading through huge reams of data to find possible treatments for diseases.
Even if robots don’t take over all jobs in these fields, they are likely to replace an increasing proportion of many of these jobs, leaving humans to concentrate on the areas that require judgement, creativity, human empathy and finesse.
These developments raise a number of questions. If robots have a higher marginal revenue product/marginal cost ratio than humans, will employers choose to replace humans by robots, wholly or in part? How are investment costs factored into the decision? And what about industrial relations? Will employers risk disputes with employees? Will they simply be concerned with maximising profit or will they take wider social concerns into account?
Then there is the question of what new jobs would be created for those who lose their jobs to machines. According to the earlier Deloitte study, which focused on London, over 80% of companies in London say that over the next 10 years they will be most likely to take on people with skills in ‘digital know-how’, ‘management’ and ‘creativity’.
But even if new jobs are created through the extra spending power generated by the extra production – and this has been the pattern since the start of the industrial revolution some 250 years ago – will these new jobs be open largely to those with high levels of transferable skills? Will the result be an ever widening of the income gap between rich and poor? Or will there be plenty of new jobs throughout the economy in a wide variety of areas where humans are valued for the special qualities they bring? As the authors of the later Deloitte paper state:
The dominant trend is of contracting employment in agriculture and manufacturing being more than offset by rapid growth in the caring, creative, technology and business services sectors.
The issues of job replacement and job creation, and of the effects on income distribution and the balance between work and leisure, are considered in the following videos and articles, and in the three reports.
What is artificial intelligence? BBC News, Valery Eremenko (13/9/15)
What jobs will robots take over? BBC News, David Botti (15/8/14)
Could a robot do your job? BBC News, Rory Cellan-Jones (14/9/15)
Intelligent machines: The robots that work alongside humans BBC News, Rory Cellan-Jones (14/9/15)
Intelligent machines: Will you be replaced by a robot? BBC News, John Maguire (14/9/15)
Will our emotions change the way adverts work? BBC News, Dan Simmons (24/7/15)
Could A Robot Do My Job? BBC Panorama, Rohan Silva (14/9/15)
Technology has created more jobs in the last 144 years than it has destroyed, Deloitte study finds Independent, Doug Bolton (18/8/15)
Technology has created more jobs than it has destroyed, says 140 years of data The Guardian, Katie Allen (18/8/15)
Will a robot take your job? BBC News (11/9/15)
Intelligent Machines: The jobs robots will steal first BBC News, Jane Wakefield (14/9/15)
Robots Could Take 35 Per Cent Of UK Jobs In The Next 20 Years Says New Study Huffington Post, Thomas Tamblyn (14/9/15)
The new white-collar fear: will robots take your job? The Telegraph, Rohan Silva (12/9/15)
Does technology destroy jobs? Data from 140 years says no Catch news, Sourjya Bhowmick (11/9/15)
Takeoff in Robotics Will Power the Next Productivity Surge in Manufacturing Boston Consulting Group (10/2/15)
Agiletown: the relentless march of technology and London’s response Deloitte (November 2014)
Technology and people: The great job-creating machine Deloitte, Ian Stewart, Debapratim De and Alex Cole (August 2015)
- Which are the fastest growing and fastest declining occupations? To what extent can these changes be explained by changes in technology?
- What type of unemployment is caused by rapid technological change?
- Why, if automation replaces jobs, have jobs increased over the past 250 years?
- In what occupations is artificial intelligence (AI) most likely to replace humans?
- To what extent are robots and humans complementary rather than substitute inputs into production?
- “Our analysis of more recent employment data also reveals a clear pattern to the way in which technology has affected work.” What is this pattern? Explain.
- Why might AI make work more interesting for workers?
- Using a diagram, show how an increase in workers’ marginal productivity from working alongside robots can result in an increase in employment. Is this necessarily the case? Explain.