Tag: labour market

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How will immigration controls affect labour supply and wages?

The government has announced outlines of the new system of immigration controls from January 2021 when the Brexit transition period is scheduled to finish. It plans to introduce an Australian-style points-based system. This will apply to all EU and Non-EU citizens. The aim is to attract skilled workers, while preventing non-skilled or low-skilled workers from entering the UK for employment.

But even skilled workers will need to meet three criteria in order to obtain a work visa: (i) having the offer of a job paying a minimum of £25,600 per annum, except in designated jobs where there is a shortage of labour; (ii) being able to speak English; (iii) having qualifications equivalent to A levels.

To apply for a work visa, applicants must have at least 70 points according to the following table:


In certain jobs where there is a shortage of labour, designated by the Migration Advisory Committee (MAC), immigrants will be able to earn a lower income, provided it is above £20,480 per annum. They will earn 20 points for such jobs, which can offset not meeting the £25,600 threshold. Such jobs could include those in healthcare and farming. There will also be temporary visas for seasonal workers, such as fruit pickers.

The government argues that the new system will encourage employers to substitute technology for labour, with greater investment in equipment and computers. This would increase labour productivity and wages without reducing employment.

This is illustrated in the diagram, which illustrates a low-paid job which will be impacted by the restrictions. If there is a rise in productivity through technological change, the marginal revenue product of labour curve shifts upwards from MRPL1 to MRPL2 and offsets the leftward shift in labour supply (caused by the decline in immigration) from ACL1 to ACL2 and the marginal cost of labour from MCL1 to MCL2. Employment is where the marginal cost of labour equals the marginal revenue product of labour. This remains at Q1. Wages are given by the supply curve of labour and rise from W1 to W1. (Click here for a PowerPoint of the diagram.)

Even if the upward shift in the MRPL curve is not sufficient to offset the leftward shift in the labour supply curve, wages will still rise, but there will be a fall in employment.

In higher-paid skilled jobs where people meet the points requirement, there will be little effect on wages and employment, except where people are generally discouraged by a points system, even if they have the points themselves.

The government also argues that there is a large pool of UK residents who can take up jobs that would otherwise have been filled by immigrants. The Home Secretary referred to the 8.48 million people who are economically inactive who could fill jobs no longer filled by immigrants. However, as the data show, most of these people are not available for work. Some 2.3 million are students, 1.9 million are carers at home looking after relatives, 2.1 million are long-term sick and 1.1 million are retired. Only 1.9 million (22.1% of the economically inactive) would like a job and not all these would be able to take up one (e.g. the long-term sick).

One the biggest problems concerns low-paid sectors where it is very difficult to substitute capital for labour through use of technology. Examples include social care, health care, the leisure and hospitality industry and certain jobs in farming. There could be severe shortages of labour in such industries. It remains to be seen whether such industries will be given exemptions or more relaxed conditions by the government in line with advice from the Migration Advisory Committee.

More details will emerge of the points system in the coming months. It will be interesting to see how responsive the government will be to the concerns of employers and workers.

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Questions

  1. Find out how the proposed points-based system for immigration differs from the current system that applies to non-EU citizens.
  2. What will be the likely impact of reducing immigration of unskilled and low-skilled people?
  3. What barriers are there to substituting capital for labour in the caring and leisure sectors?
  4. What would be the macroeconomic effects of a substantial reduction in immigration?
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A gift for the new decade: working less for more!

A lack of productivity growth has been a major problem for the UK economy over the past decade (click here for a PowerPoint of the chart). Is it possible that the new decade may see a pick-up in the growth in output per hour worked?

One possible solution to low productivity growth is to reduce working hours and even to move to a four-day week, but not to reduce total pay. If people work fewer hours, they may well be more productive in the hours they do work. In fact, not only may output per hour increase, but so too may output per worker, despite fewer hours being worked. What is more, the quality of output may increase with people being less tired and more motivated.

Several companies have experimented with a four-day week, including Microsoft in Japan, which employees 2300 workers. It found that, despite a 20% reduction in hours worked, output per hour worked increased by 40%, with total output thereby increasing. Workers were generally happier and more motivated and asked for fewer days off.

And it is not just a question of output: fewer hours can result in lower costs. The effect on costs will depend on the nature of new work patterns, including whether everyone has the same extra day off.

But a four-day week is only one way of cutting working hours for full-time employees. Another is to reduce the length of the working day. The argument is that people may work more efficiently if the standard working day is cut from eight to, say, five hours. As the first Thrive Global article article (linked below) states:

Just because you’re at your desk for eight hours doesn’t mean you’re being productive. Even the best employees probably only accomplish two to three hours of actual work. The five-hour day is about managing human energy more efficiently by working in bursts over a shorter period.

If people have more leisure time, this could provide a boost to the leisure and other industries. According to a Henley Business School study:

An extra day off could have a knock-on effect for the wider society. We found 54% of employees said they would spend their day shopping, meaning a potential boost for the high street, 43% would go to the cinema or theatre and 39% would eat out at restaurants.

What is more, many people would be likely to use the extra time productively, undertaking training, volunteering or other socially useful activities. Also family life is likely to improve, with people spending less time at work and commuting and having more time for their partners, children, other relatives and friends. In addition, people’s physical and mental health is likely to improve as they achieve a better work-life balance.

So, should firms be encouraged to reduce hours for full-time workers with no loss of pay? Many firms may need no encouragement at all if they can see from the example of others that it is in their interests. But many firms may find it difficult, especially if their suppliers and/or customers are sticking with ‘normal’ working hours and want to do business during those hours. But, over time, as more firms move in this direction, so it will become increasingly in the interests of others to follow suit.

In the meantime, should the government introduce incentives (such as tax breaks) or regulations to limit the working week? Indeed, it was part of the Labour manifesto for the December 2019 election that the country should, over time, move to a four-day week. Although this was a long-term goal, it would probably have involved the use of some incentives to encourage employers to move in that direction or the gradual introduction of limits on the number of hours or days per week that people could work in a particular job. It is unlikely that the new Conservative government will introduce any specific measures, but would probably not want to discourage firms from reducing working hours, especially if it is accompanied by increased output per worker.

But despite the gains, there are some problems with reduced working hours. Many small businesses, such as shops, restaurants and firms offering technical support, may not have the flexibility to offer reduced hours, or may find it hard to increase productivity when there is a specific amount of work that needs doing, such as serving customers.

Another problem concerns businesses where the output of individuals is not easy to measure because they are part of a team. Reducing hours or the working week may not make such people work harder if they can ‘get way with it’. Not everyone is likely to be motivated by fewer hours to work harder.

Then there is the problem if reduced hours don’t work in boosting productivity. It may then be very difficult to reintroduce longer hours.

But, despite these problems, there are many firms where substantial gains in productivity could be made by restructuring work in a way that reduces hours worked. We may see more and more examples as the decade progresses.

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Questions

  1. Distinguish between different ways of measuring labour productivity.
  2. Give some examples (from the linked references) of employers which have tried introducing a four-day week or reduced hours for full-time workers. What has been the outcome in each case?
  3. In what ways may reducing working hours reduce a firm’s total costs?
  4. What are the advantages and disadvantages of the government imposing (at some point in the future) a maximum working week or a four-day week?
  5. What types of firm might struggle in introducing a four-day week or a substantially reduced number of hours for full-time employees?
  6. What external benefits and costs might arise from a shorter working week?
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Stop and smell the roses

Spring has already made its appearance here in Norfolk. Our garden is in full bloom and I am in a particularly spring-philosophical mood today – especially so as I should soon be hearing news from the editorial office of a coveted economics journal. This concerns a paper that I submitted for publication what feels like months ago.

And just as I was reflecting on this thought, a paper by Firmuc and Paphawasit (2018) landed on my desk, evaluating the impact of physical attractiveness on academic research productivity in the field of economics. More specifically, the authors pull together information about the research productivity of about 2000 published economics researchers. They then find photos of them and rate their attractiveness (yes, seriously!) using an online survey. In particular:

Besides collecting some basic information on the authors, we also rated their attractiveness. To this effect, we circulated a number of online survey links to potential participants at Brunel University and elsewhere, using direct communication, email and social networks. Each online survey collected basic background information on the assessor (gender, age, ethnicity, highest education, and whether they are currently enrolled as a student) followed by 30 randomly-chosen and randomly-ordered photos, with each picture placed on a separate page.

…Each rater was asked to rate the attractiveness of the person in the photo on an 11-point scale, from 0 (unattractive) to 10 (very attractive). No information on the photographed individuals was provided and the raters were told that the survey studies the formation of perceptions of beauty. The raters were also asked whether they recognised the person in the picture, or whether the picture did not load properly: in such instances, their scores were excluded from the analysis.

The average beauty score was 3.9, with the most attractive academic scoring 7.6

They even attach photographs of the three most attractive male authors in their sample in an appendix (thankfully the other end of the distribution was left out – I had to check to make sure, as I was worried for a few minutes I would find my photo posted there!).

Their results show that there is a link between authors’ attractiveness and quality of journals where their papers are published, as well as number of citations that they receive. According to their findings, this association matters most for more productive authors (‘of intermediate and high productivity’), whereas there seems to be very small or no effect for less productive authors. Some of these effects disappear once controlling for journal quality:

…attractive authors tend to publish their research in better journals, but once their work is published, it does not attract more citations than other papers published in the same journal by less good-looking authors.

Although there are many methodological parts of this paper that I do not quite understand (probably because it is not my area of specialisation), it does remind us that looks do matter in labour markets. There is a well-established literature in labour economics discussing the association between appearance/beauty and wages and the so-called ‘halo effect’ (referring to the physical attractiveness premium that more attractive workers are likely to command in labour markets – see also Langlois et al., 2000; Zebrowitz et al., 2002; Kanazawa and Kovar, 2004; for a detailed discussion on this).

I was also surprised to read that this beauty bias can be also gender specific. For instance, Cash et al (1977) and Johnson et al. (2010) find that the effect goes the other way (negative impact) when considering female candidates applying for jobs traditionally perceived as ‘masculine’ ones. By contrast, male candidates are more likely to experience a positive return on good looks, irrespective of the type of job that they do (see also Johnson et al., 2010).

No surprise then that ‘guyliners’, ‘make up for men’ and other male beauty products are becoming increasingly popular amongst younger workers – in Europe it is not as common yet as it is in parts of Asia (Japan comes to mind), but I imagine it is a matter of time, as more workers realise that there are positive returns to be made!

References

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Questions

  1. Read some of the papers posted above and explain the main argument about the link between physical attraction and wages. What does the empirical evidence show on this?
  2. Using examples and anecdotal evidence, do you agree with these findings?
  3. If these findings are representative of the real world, what do they suggest about the functioning of modern labour markets?
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Let me Google it for you…

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.

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References

Questions

  1. Is there a link between economic growth and internet access? Discuss, using examples.
  2. Explain the arguments for and against government intervention to subsidise internet access of poorer households.
  3. 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.
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These boots are made for walkin’

I admit it, the title of my blog today is a little bit misleading – but at the same time very appropriate for today’s topic. Nancy Sinatra certainly wasn’t thinking about emigration when she was singing this song – it had nothing to do with it, after all. It is, however, very relevant to economists: Indeed, there are many economics papers discussing the effects of skilled immigration on host and source economies and regions.

Economists often use the term ‘brain drain’ to describe the migration of highly skilled workers from poor/developing to rich/developed economies. Such flows are anything but unusual. As The Economist points out in a recent article, ‘[I]n the decade to 2010–11 the number of university-educated migrants in the G20, a group of large economies that hosts two-thirds of the world’s migrants, grew by 60% to 32m according to the OECD, a club of mostly rich countries.’.

The effects of international migration are found to be overwhelmingly positive for both skilled migrant workers and their hosts. This is particularly true for highly skilled workers (such as academics, physicians and other professionals), who, through emigration, get the opportunity to earn a significantly higher return on their skills that what they might have had in their home country. Very often their home country is saturated and oversupplied with skilled workers competing for a very limited number of jobs. Also, they get the opportunity to practise their profession – which they might not have had otherwise.

But what about their home countries? Are they worse off for such emigration?

There are different views when it comes to answering this question. One argument is that the prospect of international migration incentivises people in developing countries to accumulate skills (brain gain) – which they might not choose to do otherwise, if the expected return to skills was not high enough to warrant the effort and opportunity cost that comes with it. Beine et al (2011) find that:

Our empirical analysis predicts conditional convergence of human capital indicators. Our findings also reveal that skilled migration prospects foster human capital accumulation in low-income countries. In these countries, a net brain gain can be obtained if the skilled emigration rate is not too large (i.e. it does not exceed 20–30% depending on other country characteristics). In contrast, we find no evidence of a significant incentive mechanism in middle-income, and not surprisingly, high-income countries.

Other researchers find that emigration can have a significant negative effect on source economies (countries or regions) – especially if it affects a large share of the local workforce within a short time period. Ha et al (2016), analyse the effect of emigration on human capital formation and economic growth of Chinese provinces:

First, we find that permanent emigration is conducive to the improvement of both middle and high school enrollment. In contrast, while temporary emigration has a significantly positive effect on middle school enrollment it does not affect high school enrollment. Moreover, the different educational attainments of temporary emigrants have different effects on school enrollment. Specifically, the proportion of temporary emigrants with high school education positively affects middle school enrollment, while the proportion of temporary emigrants with middle school education negatively affects high school enrollment. Finally, we find that both permanent and temporary emigration has a detrimental effect on the economic growth of source regions.

So yes or no? Good or bad? As everything else in economics, the answer quite often is ‘it depends’.

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Questions

  1. ‘The brain drain makes a bad situation worse, by stripping developing economies of their most valuable assets: skilled workers’. Discuss.
  2. Using Google, find data on the inflows and outflows of skilled labour for a developing country of your choice. Explain your results.
  3. ‘Brain drain’ or ‘brain gain’? What is your personal view on this debate? Explain your opinion by using anecdotal evidence, personal experience and examples.
  4. Referring to the previous question, write a critique of your answer.