How would your life be without the internet? For many of you, this is a question that may be difficult to answer – as the internet has probably been an integral part of your life, probably since a very young age. We use internet infrastructure (broadband, 4G, 5G) to communicate, to shop, to educate ourselves, to keep in touch with each other, to buy and sell goods and services. We use it to seek and find new information, to learn how to cook, to download music, to watch movies. We also use the internet to make fast payments, transfer money between accounts, manage our ISA or our pension fund, set up direct debits and pay our credit-card bills.
I could spend hours writing about all the things that we do over the internet these days, and I would probably never manage to come up with a complete list. Just think about how many hours you spend online every day. Most likely, much of your waking time is spent using internet-based services one way or another (including apps on your phone, streaming on your phone, tablet or your smart TV and similar). If your access to the internet was disrupted, you would certainly feel the difference. What if you just couldn’t afford to have computer or internet access? What effect would that have on your education, your ability to find a job, and your income?
Martin Jenkins, a former homeless man, now entrepreneur, thinks that the magnitude of this effect is rather significant. In fact, he is so convinced about the importance of bringing the internet to poorer households, that he recently founded a company, Neptune, offering low-income households in the Bronx district of New York free access to online education, healthcare and finance portals. His venture was mentioned in a recent (and very interesting) BBC article – a link to which can be found at the end of this blog. But is internet connectivity really that important when it comes to economic and labour market outcomes? And is there a systematic link between economic growth and internet penetration rates?
These are all questions that have been the subject of intensive debate over the last few years, in the context of both developed and developing economies. Indeed, the ‘digital divide’ as it is known (the economic gap between the internet haves and have nots) is not something that concerns only developing countries. According to a recent policy brief published by the New York City Comptroller:
More than one-third (34 percent) of households in the Bronx lack broadband at home, compared to 30 percent in Brooklyn, 26 percent in Queens, 22 percent in Staten Island, and 21 percent in Manhattan.
The report goes on to present data on the percentage of households with internet connection at home by NYC district, and it does not take advanced econometric skills for one to notice that there is a clear link between median district income and broadband access. Wealthier districts (e.g. Manhattan Community District 1 & 2 – Battery Park City, Greenwich Village & Soho PUMA), tend to have a significantly higher share of households with broadband access, than less affluent ones (e.g. NYC-Brooklyn Community District 13 – Brighton Beach & Coney Island PUMA) – 88% of total households compared with 58%.
But, do these large variations in internet connectivity matter? The evidence is mixed. On the one hand, there are several studies that find a clear, strong link between internet penetration and economic growth. Czernich et al (2011), for instance, using data on OECD countries over the period 1996–2007, find that “a 10 percentage point increase in broadband penetration raised annual per capita growth by 0.9–1.5 percentage points”.
Another study by Koutroumpis (2018) examined the effect of rolling out broadband in the UK.
For the UK, the speed increase contributed 1.71% to GDP in total and 0.12% annually. Combining the effect of the adoption and speed changes increased UK GDP by 6.99% cumulatively and 0.49% annually on average”. (pp.10–11)
The evidence is less clear, however, when one tries to estimate the benefits between different types of workers – low and high skilled. In a recent paper, Atasoy (2013) finds that:
gaining access to broadband services in a county is associated with approximately a 1.8 percentage point increase in the employment rate, with larger effects in rural and isolated areas.
But then he adds:
most of the employment gains result from existing firms increasing the scale of their labor demand and from growth in the labor force. These results are consistent with a theoretical model in which broadband technology is complementary to skilled workers, with larger effects among college-educated workers and in industries and occupations that employ more college-educated workers.
Similarly, Forman et al (2009) analyse the effect of business use of advanced internet technology and local variation in US wage growth, over the period 1995–2000. Their findings show that:
Advanced internet technology is associated with larger wage growth in places that were already well off. These are places with highly educated and large urban populations, and concentration of IT-intensive industry. Overall, advanced internet explains over half of the difference in wage growth between these counties and all others.
How important then is internet access as a determinant of growth and economic activity and what role does it have in bridging economic disparities between communities? The answer to this question is most likely ‘very important’ – but less straightforward than one might have assumed.
Article
References
- Comptroller, New York City, Internet Inequality
- Czernich, N., Falck, O., Kretschmer, T. and Woessmann, L., 2011, Broadband infrastructure and economic growth, The Economic Journal, 121(552), pp.505–32
- Koutroumpis, P., 2018, The economic impact of broadband: evidence from OECD countries, Ofcom
- Atasoy, H., 2013, The effects of broadband internet expansion on labor market outcomes, ILR Review, 66(2), pp.315–45
- Forman, C., Goldfarb, A. and Greenstein, S., 2009, The Internet and Local Wages: Convergence or Divergence? (No. w14750), National Bureau of Economic Research
Questions
- Is there a link between economic growth and internet access? Discuss, using examples.
- Explain the arguments for and against government intervention to subsidise internet access of poorer households.
- How important is the internet to you and your day to day life? Take a day offline (yes, really – a whole day). Then come back and write about it.
Workers in the UK and USA work much longer hours per year than those in France and Germany. This has partly to do with the number of days paid holiday per year, partly with the number of hours worked per day and partly with the number of days worked per week.
According to the latest OECD figures, in 2017 average hours worked per year ranged from 2257 in Mexico (the OECD’s highest) to 1780 in the USA, 1710 in Japan, 1681 in the UK, 1514 in France, 1408 in Denmark and 1356 in Germany (the OECD’s lowest). 
Annual working hours have been falling in most countries across the decades, as the chart shows. However, in most countries the process has slowed in recent years and in the UK, the USA and France working hours have begun to rise. (Click here for a PowerPoint of the chart.)
But why do working hours differ so much from country to country? How do they relate to productivity? How do they relate to human happiness and welfare more generally?
Causes of the differences
There are various reasons for the differences in hours worked between countries.
In a situation where individual workers can choose how many hours to work, they have to decide the best trade off for them between income and leisure. As wages rise over time, there will be substitution and income effects of these extra hourly wages. Higher wages make work more valuable in terms of what people can buy from an extra hour’s work. There is thus an incentive to substitute work for leisure and hence work longer. This is the substitution effect. On the other hand, higher wages allow people to work fewer hours for a given income. This is the income effect.
As incomes rise, generally the substitution effect will tend to decline relative to the income effect. This is because of the diminishing marginal utility of income. Richer people will tend to value a given rise in income less than poorer people and therefore will value the income from extra work less than poorer people. Richer people will prefer to work fewer hours than poorer people. Generally workers in richer OECD countries work fewer hours than those in poorer OECD countries.
But this does not explain why people in the USA, Canada, Japan and the UK work longer hours than people in Germany, Denmark, Norway, The Netherlands and France.
One possible explanation for these differences is the role of trade unions. These tend to be stronger in countries with lower working hours. Reducing the working week or obtaining longer holidays is one of the key objectives of unions.
Another is income distribution. The USA, despite its high average (mean) income, has a relatively unequal distribution of income compared with Germany or France. The post-tax-and-benefits Gini coefficient in the USA is around 0.39, whereas in Germany it is 0.29, meaning that Germany has a more equal distribution of disposable income than the USA. In fact, rises in real incomes in the USA over the past 10 years have gone almost exclusively to the top 10 per cent of earners, leaving the median income little changed. In fact median household income only rose above its 2007 (pre-recession) level in 2016.
Social and cultural explanations may also be important. People in countries with higher working hours relative to hourly wages may put a greater store on consumption relative to leisure. The desire to shop may be very strong. The ‘Anglo-Saxon’ economic model pursued by right-of-centre governments in English-speaking countries, such as the USA, Canada, Australia and the UK puts emphasis on low taxes, low regulation, low public expenditure and self-advancement. Such a model encourages a more individualistic approach to work, with more emphasis on earning money.
Then there is the attitude to hours worked generally. There is a saying that in the UK the last one to leave the office is seen as the hardest working, whereas in Germany the last one to leave is seen as the least efficient. Social pressures, from colleagues, family, friends and society more generally can have a major effect on people’s choices between work and leisure.
Productivity
Productivity, in terms of output per hour worked, tends to decline as workers work longer hours. People get tired and possibly bored and demotivated towards the end of a long day or week. If workers are paid by the output they produce and if productivity declines towards the end of the day, then the hourly wage would fall as the day progresses. This would act as a disincentive to work long hours. In practice, most workers are normally paid a constant rate per hour for normal-time working. For overtime, they may even be paid a higher rate, despite their likely lower productivity. This encourages them to work longer hours than if they were paid according to their marginal productivity.
Linking pay more closely to productivity could encourage people to opt for fewer hours (if they had the choice). Indeed some companies are now encouraging workers to choose their hours – which may mean fewer hours as people seek a better work–life balance. (See the BBC article below about PwC’s employment strategy.) 
Alternatively, some other employers adopt the system of giving workers a set amount of work to do and then they can leave work when it is finished. This acts as an incentive to work more efficiently.
It is interesting that countries where workers work more hours per year tend to have a lower output per hour worked relative to output per worker than countries where workers work fewer hours. This is illustrated in the chart opposite. The USA, with its longer working hours, has higher output per person employed than France and Germany but very similar output per hour worked.
Hours and happiness
So are people who choose to work longer hours and take home more money likely to be happier than those who choose to work fewer hours and take home less money? If people were rational and had perfect knowledge, then they would choose the balance between work and leisure that best suited them.
In practice, labour markets are highly imperfect. People often do not have choices about the amount they work; they work the hours they are told. Even if they do have a choice, they are unlikely to have perfect knowledge about the impact of long hours on their health and happiness over their lifetime. They may not even be good judges of the shorter-term effects of more work and more pay. They may believe that more money will buy them more happiness only to find soon afterwards that they are wrong.
Articles
Data
Questions
- What factors are likely to encourage workers to work longer hours?
- Give some examples of jobs where workers have flexibility in the amount of hours they work per week and jobs where the working week is of a fixed length.
- For what reasons are annual working hours longer in the USA than in Germany?
- Would it be in employers’ interests if the government legislated so as to reduce the maximum permitted working week? Explain.
- What is meant by ‘efficiency wages’? How relevant is the concept to the issue of the average number of hours worked per year from country to country?
- Explain why people in poorer countries tend to work more hours per year than people in richer countries.
- If workers’ wages equalled their marginal revenue product, why might some workers choose to work more and others choose to work less (assuming they had a choice)?
- Are jobs in the gig economy and zero-hour contract jobs in the interests of workers?
- Is South Korea wise to cut its work limit from 68 hours a week to 52?
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.
Articles
Report and data
Questions
- 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 IMF has just published its six-monthly World Economic Outlook. This provides an assessment of trends in the global economy and gives forecasts for a range of macroeconomic indicators by country, by groups of countries and for the whole world.
This latest report is upbeat for the short term. Global economic growth is expected to be around 3.9% this year and next. This represents 2.3% this year and 2.5% next for advanced countries and 4.8% this year and 4.9% next for emerging and developing countries. For large advanced countries such rates are above potential economic growth rates of around 1.6% and thus represent a rise in the positive output gap or fall in the negative one.
But while the near future for economic growth seems positive, the IMF is less optimistic beyond that for advanced countries, where growth rates are forecast to decline to 2.2% in 2019, 1.7% in 2020 and 1.5% by 2023. Emerging and developing countries, however, are expected to see growth rates of around 5% being maintained.
For most countries, current favorable growth rates will not last. Policymakers should seize this opportunity to bolster growth, make it more durable, and equip their governments better to counter the next downturn.
By comparison with other countries, the UK’s growth prospects look poor. The IMF forecasts that its growth rate will slow from 1.8% in 2017 to 1.6% in 2018 and 1.5% in 2019, eventually rising to around 1.6% by 2023. 
The short-term figures are lower than in the USA, France and Germany and reflect ‘the anticipated higher barriers to trade and lower foreign direct investment following Brexit’.
The report sounds some alarm bells for the global economy.
The first is a possible growth in trade barriers as a trade war looms between the USA and China and as Russia faces growing trade sanctions. As Christine Lagarde, managing director of the IMF told an audience in Hong Kong:
Governments need to steer clear of protectionism in all its forms. …Remember: the multilateral trade system has transformed our world over the past generation. It helped reduce by half the proportion of the global population living in extreme poverty. It has reduced the cost of living, and has created millions of new jobs with higher wages. …But that system of rules and shared responsibility is now in danger of being torn apart. This would be an inexcusable, collective policy failure. So let us redouble our efforts to reduce trade barriers and resolve disagreements without using exceptional measures.
The second danger is a growth in world government and private debt levels, which at 225% of global GDP are now higher than before the financial crisis of 2007–9. With Trump’s policies of tax cuts and increased government expenditure, the resulting rise in US government debt levels could see some fiscal tightening ahead, which could act as a brake on the world economy. As Maurice Obstfeld , Economic Counsellor and Director of the Research Department, said at the Press Conference launching the latest World Economic Outlook:
Debts throughout the world are very high, and a lot of debts are denominated in dollars. And if dollar funding costs rise, this could be a strain on countries’ sovereign financial institutions.
In China, there has been a massive rise in corporate debt, which may become unsustainable if the Chinese economy slows. Other countries too have seen a surge in private-sector debt. If optimism is replaced by pessimism, there could be a ‘Minsky moment’, where people start to claw down on debt and banks become less generous in lending. This could lead to another crisis and a global recession. A trigger could be rising interest rates, with people finding it hard to service their debts and so cut down on spending.
The third danger is the slow growth in labour productivity combined with aging populations in developed countries. This acts as a brake on growth. The rise in AI and robotics (see the post Rage against the machine) could help to increase potential growth rates, but this could cost jobs in the short term and the benefits could be very unevenly distributed.
This brings us to a final issue and this is the long-term trend to greater inequality, especially in developed economies. Growth has been skewed to the top end of the income distribution. As the April 2017 WEO reported, “technological advances have contributed the most to the recent rise in inequality, but increased financial globalization – and foreign direct investment in particular – has also played a role.”
And the policy of quantitative easing has also tended to benefit the rich, as its main effect has been to push up asset prices, such as share and house prices. Although this has indirectly stimulated the economy, it has mainly benefited asset owners, many of whom have seen their wealth soar. People further down the income scale have seen little or no growth in their real incomes since the financial crisis.
Articles
- Clouds gather over global economy, casting long shadow on Europe
Politico, Pierre Briançon (18/4/18)
- IMF warns rising trade tensions threaten to derail global growth
Reuters, David Lawder (17/4/18)
- IMF outlook contains cause for celebration but a horrendous hangover is looming
The Guardian, Greg Jericho (18/4/18)
- World trade system in danger of being torn apart, warns IMF
The Guardian, Larry Elliott (17/4/18)
- IMF Warns of Rising Threats to Global Financial System
Bloomberg, Andrew Mayeda (18/4/18)
- IMF issues warning on global debt
BBC News, Andrew Walker (18/4/18)
- The IMF has a simple message: the global recovery will peter out
The Guardian, Larry Elliott (17/4/18)
- Global growth is built, alas, on shaky foundations
The Irish Times, Martin Wolf (18/4/18)
- Government debt
The Economist (19/4/18)
- This Is How Much Money the World Owes
Fortune (19/4/18)
Report
Data
Questions
- For what reasons may the IMF forecasts turn out to be incorrect?
- Why are emerging and developing countries likely to experience faster rates of economic growth than advanced countries?
- What are meant by a ‘positive output gap’ and a ‘negative output gap’? What are the consequences of each for various macroeconomic indicators?
- Explain what is meant by a ‘Minsky moment’. When are such moments likely to occur? Explain why or why not such a moment is likely to occur in the next two or three years?
- For every debt owed, someone is owed that debt. So does it matter if global public and/or private debts rise? Explain.
- What have been the positive and negative effects of the policy of quantitative easing?
- What are the arguments for and against using tariffs and other forms of trade restrictions as a means of boosting a country’s domestic economy?
In delivering his Budget on 22 November, Philip Hammond reported that the independent Office for Budget Responsibility had revised down its forecasts of growth in productivity and real GDP, and hence of earnings growth.
Today, median earnings are £23,000 per annum. This is £1500 less than the £24,500 that the median worker earned in 2008 in today’s prices. The OBR forecasts a growth in real household disposable income of just 0.35% per annum for the next four years.
With lower growth in earnings would come a lower growth in tax revenues. With his desire to cut the budget deficit and start eventually reducing government debt, this would give the government less scope for spending on infrastructure, training and other public-sector investment; less scope to support public services, such as health and education; less scope for increasing benefits and public-sector wages.
The normal measure of productivity, and the one used by the OBR, is the value of output produced per hour worked. This has hardly increased at all since the financial crisis of 2008. It now takes an average worker in the UK approximately five days to produce the same amount as it takes an average worker in Germany four days.
Although other countries’ productivity growth has also slowed since the financial crisis, it has slowed more in the UK and from a lower base – and is now forecast to rebound less quickly.
For the past few years the OBR has been forecasting that productivity growth would return to the trend rate of just over 2% that the UK achieved prior to 2008. For example, the forecasts it made in June 2010 are shown by the grey line in the chart, which were based on the pre-crash trend rate of growth in productivity (click on chart to enlarge). And the forecasts it made in November 2016 are shown by the pale green line. Yet each year productivity has hardly changed at all. Today output per hour is less than 1% above its level in 2008.
Now the OBR believes that poorer productivity growth will persist. It is still forecasting an increase (the blue line in the chart) – but by 0.7 of a percentage point less than it was forecasting a year ago (the pale green line): click here for a PowerPoint of the chart.
We have assumed that productivity growth will pick up a little, but remain significantly lower than its pre-crisis trend rate throughout the next five years. On average, we have revised trend productivity growth down by 0.7 percentage points a year. It now rises from 0.9 per cent this year to 1.2 per cent in 2022. This reduces potential output in 2021-22 by 3.0 per cent. The ONS estimates that output per hour is currently 21 per cent below an extrapolation of its pre-crisis trend. By the beginning of 2023 we expect this to have risen to 27 per cent.
Why has there been such weak productivity growth?
Weak productivity growth has been caused by a mixture of factors.
Perhaps the most important is that investment as a percentage of GDP has been lower than before the financial crisis and lower than in other countries. Partly this has been caused by a lack of funding for investment as banks have sought to rebuild their capital and have cut down on riskier loans. Partly it has been caused by a lack of demand for investment, given sluggish rates of economic growth and the belief that austerity will continue.
And it is not just private investment. Public-sector investment in transport infrastructure, housing and education and training has been lower than in other countries. Indeed, the poor training record and low skill levels in the UK are main contributors to low productivity.
The fall in the pound since the Brexit vote has raised business costs and further dampened demand as incomes have been squeezed.
Another reason for low productivity growth has been that employers have responded to weak demand, not by laying off workers and thereby raising unemployment, but by retaining low-productivity workers on low wages. Another has been the survival of ‘zombie’ firms, which, by paying low wages and facing ultra-low interest rates, are able to survive competition from firms that do invest.
Why is weak productivity growth forecast to continue?
Looking forward, the nature of the Brexit deal will impact on confidence, investment, wages and growth. If the deal is bad for the UK, the OBR’s forecasts are likely to be too optimistic. As it is, uncertainty over the nature of the post-Brexit world is weighing heavily on investment as some businesses choose to wait before committing to new investment.
On the other hand, exports may rise faster as firms respond to the depreciation of the pound and this may stimulate investment, thereby boosting productivity.
Another factor is the effect of continuing tight Budgets. There was some easing of austerity in this Budget, as the Chancellor accepted a slower reduction in the deficit, but government spending will remain tight and this is likely to weigh on growth and investment and hence productivity.
But this may all be too gloomy. It is very difficult to forecast productivity growth, especially as it is hard to measure output in much of the service sector. It may be that the productivity growth forecasts will be revised up before too long. For example, the benefits from new technologies, such as AI, may flow through more quickly than anticipated. But they may flow through more slowly and the productivity forecasts may have to be revised down even further!
Articles
The OBR’s productivity “forecast” Financial Times, Kadhim Shubber
U.K. Faces Longest Fall in Living Standards on Record Bloomberg, Simon Kennedy and Thomas Penny (23/11/17)
Britain’s Productivity Pain Costs Hammond $120 Billion Bloomberg, Fergal O’Brien (22/11/17)
OBR slashes Britain’s growth forecast on sluggish productivity and miserly pay The Telegraph, Tim Wallace (22/11/17)
Budget 2017: Stagnant earnings forecast ‘astonishing’ BBC News (23/11/17)
Economists warn Budget measures to lift productivity fall short Financial Times, Gavin Jackson and Gill Plimmer (22/11/17)
Why the economic forecasts for Britain are so apocalyptic – and how much Brexit is to blame Independent, Ben Chu (24/11/17)
Growth holds steady as economists doubt OBR’s gloom The Telegraph, Tim Wallace (23/11/17)
Britain’s debt will not fall to 2008 levels until 2060s, IFS says in startling warning Independent, Lizzy Buchan (23/11/17)
Philip Hammond’s budget spots Britain’s problems but fails to fix them The Economist (22/11/17)
Debunking the UK’s productivity problem The Conversation, Paul Lewis (24/11/17)
Budget 2017: experts respond The Conversation (22/11/17)
Autumn Budget 2017 Forecasts Mean ‘Longest Ever Fall In Living Standards’, Says Resolution Foundation Huffington Post, Jack Sommers (23/11/17)
It May Just Sound Like A Statistic, But Productivity Growth Matters For All Of Us Huffington Post, Thomas Pope (24/11/17) (see also)
UK prospects for growth far weaker than first predicted, says OBR The Guardian, Angela Monaghan (22/11/17)
UK faces two decades of no earnings growth and more austerity, says IFS The Guardian, Phillip Inman (23/11/17)
Age of austerity isn’t over yet, says IFS budget analysis The Guardian, Larry Elliott (23/11/17)
Summary of Budget measures
Budget 2017: FT experts look at what it means for you Financial Times (24/11/17)
Official Documents
Autumn Budget 2017 HM Treasury (22/11/17)
Economic and fiscal outlook – November 2017 Office for Budget Responsibility (22/11/17)
IFS analysis
Autumn Budget 2017 Institute for Fiscal Studies (23/11/17)
Questions
- What measures of productivity are there other than output per hour? Why is output per hour normally the preferred measure of productivity?
- What factors determine output per hour?
- Why have forecasts of productivity growth rates been revised downwards?
- What are the implications of lower productivity growth for government finances?
- What could cause an increase in output per hour? Would there be any negative effects from these causes?
- What policies could the government pursue to increase productivity? How feasible are these policies? Explain.
- Would it matter if the government increased borrowing substantially to fund a large programme of public investment?
