Category: Essential Economics for Business 7e and 6e

Posted on

The macroeconomic outlook over the next few years: a Covid hangover

Back in June, we examined the macroeconomic forecasts of the three agencies, the IMF, the OECD and the European Commission, all of which publish forecasts every six months. The IMF has recently published its latest World Economic Outlook (WEO) and its accompanying database. Unlike the April WEO, which, given the huge uncertainty surrounding the pandemic and its economic effects, only forecast as far as 2021, the latest version forecasts as far ahead as 2025.

In essence the picture is similar to that painted in April. The IMF predicts a large-scale fall in GDP and rise in unemployment, government borrowing and government debt for 2020 (compared with 2019) across virtually all countries.

World real GDP is predicted to fall by 4.4%. For many countries the fall will be much steeper. In the UK, GDP is predicted to fall by 9.8%; in the eurozone, by 8.3%; in India, by 10.3%; in Italy, by 10.8%; in Spain, by 12.8%. There will then be somewhat of a ‘bounce back’ in GDP in 2021, but not to the levels of 2019. World real GDP is predicted to rise by 5.2% in 2021. (Click here for a PowerPoint of the growth chart.)

Unemployment will peak in some countries in 2020 and in others in 2021 depending on the speed of recovery from recession and the mobility of labour. (Click here for a PowerPoint of the unemployment chart.)

Inflation is set to fall from already low levels. Several countries are expected to see falling prices.

Government deficits (negative net lending) will be sharply higher in 2020 as a result of government measures to support workers and firms affected by lockdowns and falling demand. Governments will also receive reduced tax revenues. (Click here for a PowerPoint of the general government net lending chart.)

Government debt will consequently rise more rapidly. Deficits are predicted to fall in 2021 as economies recover and hence the rise in debt will slow down or in some cases, such as Germany, even fall. (Click here for a PowerPoint of the general government gross debt chart.)

After the rebound in 2021, global growth is then expected to slow to around 3.5% by 2025. This compares with an average of 3.8% from 2000 to 2019. Growth of advanced economies is expected to slow to 1.7%. It averaged 1.9% from 2000 to 2019. For emerging market and developing countries it is expected to slow to 4.7% from an average of 5.7% from 2000 to 2019. These figures suggest some longer-term scarring effects from the pandemic.

Uncertainties

In the short term, the greatest uncertainty concerns the extent of the second wave, the measures put in place to contain the spread of the virus and the compensation provided by governments to businesses and workers. The WEO report was prepared when the second wave was only just beginning. It could well be that countries will experience a deeper recession in 2000 and into 2021 than predicted by the IMF.

This is recognised in the forecast.

The persistence of the shock remains uncertain and relates to factors inherently difficult to predict, including the path of the pandemic, the adjustment costs it imposes on the economy, the effectiveness of the economic policy response, and the evolution of financial sentiment.

With some businesses forced to close, others operating at reduced capacity because of social distancing in the workplace and with dampened demand, many countries may find output falling again. The extent will to a large extent depend on the levels of government support.

In the medium term, it is assumed that there will be a vaccine and that economies can begin functioning normally again. However, the report does recognise the long-term scarring effects caused by low levels of investment, deskilling and demotivation of the parts of the workforce, loss of capacity and disruptions to various supply chains.

The deep downturn this year will damage supply potential to varying degrees across economies. The impact will depend on various factors … including the extent of firm closures, exit of discouraged workers from the labour force, and resource mismatches (sectoral, occupational and geographic).

One of the greatest uncertainties in the medium term concerns the stance of fiscal and monetary policies. Will governments continue to run large deficits to support demand or will they attempt to reduce deficits by raising taxes and/or reducing benefits and/or cutting government current or capital expenditure?

Will central banks continue with large-scale quantitative easing and ultra-low or even negative interest rates? Will they use novel forms of monetary policy, such as directly funding government deficits with new money or providing money directly to citizens through a ‘helicopter’ scheme (see the 2016 blog, New UK monetary policy measures – somewhat short of the kitchen sink)?

Forecasting at the current time is fraught with uncertainty. However, reports such as the WEO are useful in identifying the various factors influencing the economy and how seriously they may impact on variables such as growth, unemployment and government deficits.

Report, speeches and data

Articles

Questions

  1. Explain what is meant by ‘scarring effects’. Identify various ways in which the pandemic is likely to affect aggregate supply over the longer term.
  2. Consider the arguments for and against governments continuing to run large budget deficits over the next few years.
  3. What are the arguments for and against using ‘helicopter money’ in the current circumstances?
  4. On purely economic grounds, what are the arguments for imposing much stricter lockdowns when Covid-19 rates are rising rapidly?
  5. Chose two countries other than the UK, one industrialised and one developing. Consider what policies they are pursuing to achieve an optimal balance between limiting the spread of the virus and protecting the economy.
Posted on

The future for oil prices: a case of supply and demand

In its latest Commodity Special Feature (pages 43 to 53 of the October 2020 World Economic Outlook), the IMF examines the future of oil and other commodity prices. With the collapse in oil demand during the early stages of the coronavirus pandemic, oil prices plummeted. Brent crude fell from around $60 per barrel in late January to below $20 in April.

However, oil prices then rose somewhat and have typically been between $40 and $45 per barrel since June 2020 – still more than 35% lower than at the beginning of the year (see chart below: click here for a PowerPoint). This rise was caused by a slight recovery in demand but largely by supply reductions. These were the result partly of limits agreed by OPEC+ (OPEC, Russia and some other non-OPEC oil producing countries) and partly of reduced drilling in the USA and the closure of many shale oil wells which the lower prices had made unprofitable.

The IMF considers the future for oil prices and concludes that prices will remain subdued. It forecasts that petroleum spot prices will average $47 per barrel in 2021, up only slightly from the $42 average it predicts for 2020.

On the supply side it predicts that ‘stronger oil production growth in several non-OPEC+ countries, a faster normalization of Libya’s oil production, and a breakdown of the OPEC+ agreement’ will push up supply and push down prices. Even if the OPEC+ agreement holds, the members are set to ease their production cut by nearly 25% at the start of 2021. This rise in supply will be offset to some extent by possibly ‘excessive cuts in oil and gas upstream investments and further bankruptcies in the energy sector’.

On the demand side, the speed of the recovery from the pandemic will be a major determinant. If the second wave is long-lasting and deep, with a vaccine available to all still some way off, oil demand could remain subdued for many months. This will be compounded by the accelerating shift to renewable energy and electric vehicles and by government policies to reduce CO2 emissions.

Report

Articles

Oil price data

Questions

  1. Describe a scenario in which oil prices rebound significantly over the coming months. Illustrate your answer with a supply and demand diagram.
  2. Describe a scenario in which oil prices fall over the coming months. Again, illustrate your answer with a supply and demand diagram.
  3. How are the price elasticities of demand and supply relevant to the size of any oil price change?
  4. Project forward 10 years and predict whether oil prices will be higher or lower than now. What are the major determinants of supply and demand in your prediction?
  5. What are oil futures? What determines oil future prices?
  6. How does speculation affect oil prices?
Posted on

Support for firms forced to close: guaranteeing revenue?

Some firms in the high-Covid, tier 3 areas in England are being forced to shut by the government. These include pubs and bars not serving substantial meals. Similarly, pubs in the central belt of Scotland must close. But how should such businesses and their employees be supported?

As we saw in the blog, The new UK Job Support Scheme: how much will it slow the rise in unemployment?, the government will support such businesses by paying two-thirds of each employees’ salary (up to a maximum of £2100 a month) and will give cash grants to the businesses of up to £3000 per month.

This support has been criticised by local leaders, such as those in Greater Manchester, as being insufficient. Workers, they argue, will struggle to pay their bills and the support for firms will be too little to prevent many closing for good. What is more, many firms and their employees in the supply chain, such as breweries, will get no support. Greater Manchester resisted being put into tier 3 unless the level of support was increased. However, tier 3 status was imposed on the authority on 20 October despite lack of agreement with local politicians on the level of support.

Jim O’Neill, Vice Chair of the Northern Powerhouse partnership, has argued that the simplest way of supporting firms forced to close is to guarantee their revenue. He stated that:

The government would be sensible to guarantee the revenues of businesses it is forcing to shut. It is easier, fairer and probably less costly in the long run – and a proper test of the government’s confidence that in the New Year two of the seven vaccines the UK has signed up to will work.

This would certainly help firms to survive and allow them to pay their employees. But would guaranteeing revenues mean that such firms would see an increase in profits? The questions below explore this issue.

Articles

Questions

  1. Identify the fixed and variable costs for a pub (not owned by a brewery).
  2. If a pub closed down but the wages of workers continued to be paid in full, what cost savings would be made?
  3. If a pub closed down but was given a monthly grant by the government equal to its previous monthly total revenue but had to pay the wages of it workers in full, what would happen to its profits?
  4. On 19 October, the Welsh government introduced a two-week lockdown for Wales. Under these restrictions, all non-essential retail, leisure, hospitality and tourism businesses had to close. Find out what support was on offer for such firms and their workforce and compare it to other parts of the UK.
  5. What type of support for leisure and hospitality businesses forced by the government to close would, in your opinion, be optimal? Justify your answer.
  6. Is there any moral hazard from the government providing support for businesses made unprofitable by the Covid-19 crisis? Explain.
Posted on

The new UK Job Support Scheme: how much will it slow the rise in unemployment?

In March 2020, the UK government introduced a Coronavirus Job Retention Scheme. Businesses that had to close or cut back could put staff on furlough and the scheme would allow employers to claim 80% of workers’ wages up to £2500 per month. This would be passed on to workers.

There was large-scale uptake of the scheme. By the end of August, 9.6 million employees were on furlough (28% of the workforce) from around 1.2 million employers (61% of eligible employers). The scheme significantly stemmed the rise in unemployment. The claimant count rose 121% from March to August from 1.24 million to 2.74 million, far less than it would have done without the furlough scheme.

Since 1 August the level of support has been reduced in stages and is due to end on 31 October. It will then be replaced by a new ‘Job Support Scheme (JSS)‘ running from 1 November 2020 to 30 April 2021. Initially, employees must work at least 33% of their usual hours. For hours not worked, the government and the employer will pay a third each. There would be no pay for the final third. This means that an employee would receive at least 77.7% (33% + (2/3)67%) of their full pay – not far short of the 80% under the furlough scheme.

Effects on unemployment

Will the scheme see a substantial rise in unemployment, or will it be enough to support a gradual recovery in the economy as more businesses are able to reopen or take on more staff?

On first sight, it might seem that the scheme will give only slightly less job protection than the job furlough scheme with employees receiving only a little less than before. But, unlike the previous scheme, employers will have to pay not only for work done, but also an additional one-third for work not done. This is likely to encourage employers to lay off part of their staff and employ the remainder for more than one-third of their usual hours. Other firms may simply not engage with the scheme.

What is more, the furlough scheme paid wages for those previously employed by firms that were now closed. Under the new scheme, employees of firms that are forced to stay closed, such as many in the entertainments industry, will receive nothing. They will lose their jobs (at least until such firms are able to reopen) and will thus probably have to look for a new job. The scheme does not support them.

The government acknowledges that some people will lose their jobs but argues that it should not support jobs that are no longer viable. The question here is whether some jobs will eventually become viable again when the Covid restrictions are lifted.

With Covid cases on the rise again and more restrictions being imposed, especially at a local level, it seems inevitable that unemployment will continue to rise for some time with the ending of the furlough scheme and as the demand for labour remains subdued. The ending of the new scheme in April could compound the problem. Even when unemployment does begin to fall, it may take many months to return to pre-pandemic levels.

Update: expansion of the scheme

On 9 October, with Covid-19 cases rising rapidly in some parts of the country and tighter restrictions being imposed, the government announced that it was extending the scheme. From 1 November, employees of firms in certain parts of the country that would be required to close by the government, such as bars and restaurants, would be paid two-thirds of their previous wages by the government.

Critics of this extension to the scheme argue many firms will still be forced to shut because of lack of demand, even though they are not legally being required close. Employees of such firms will receive nothing from the scheme and will be forced onto Universal Credit. Also, the scheme will mean that many of the workers who do receive the money from the government will still face considerable hardship. Many will previously have been on minimum wages and thus will struggle to manage on only two-thirds of their previous wages.

Articles

Articles: update

Government information

Questions

  1. If people on furlough were counted as unemployed, find out what would have happened to the unemployment rate between March and August 2020.
  2. If an employer were previously employing two people doing the same type of job and now has enough work for only one person, under the Job Support Scheme would it be in the employers’ financial interest to employ one worker full time and make the other redundant or employ both of the workers half time? Explain your arguments.
  3. What are the arguments for and against the government supporting jobs for more than a few months?
  4. What determines the mobility of labour? What policies could the government pursue to increase labour mobility?
  5. Find out what policies to support employment or wages have been pursued by two other countries since the start of the pandemic. Compare them with the policies of the UK government.
Posted on

Assessing policies to tackle coronavirus: the use of cost–benefit analysis

It is commonplace to use cost–benefit analysis (CBA) in assessing public policies, such as whether to build a new hospital, road or rail line. Various attempts in the past few months have been made to use CBA in assessing policies to reduce the spread of the coronavirus. These have involved weighing up the costs and benefits of national or local lockdowns or other containment measures. But, as with other areas where CBA is used, there are serious problems of measuring costs and benefits and assessing risks. This is particularly problematic where human life is involved and where a value has to be attached to a life saved or lost.

Take the case of whether the government should have imposed a lockdown: an important question if there were to be a second wave and the government was considering introducing a second lockdown. The first step in a CBA is to identify the benefits and costs of the policy.

Identifying the benefits and costs of the lockdown

The benefits of the lockdown include lives saved and a reduction in suffering, not only for those who otherwise would have caught the virus but also for their family and friends. It also includes lives saved from other diseases whose treatment would have been put (even more) on hold if the pandemic had been allowed to rage and more people were hospitalised with the virus. In material terms, there is the benefit of saving in healthcare and medicines and the saving of labour resources. Then there are the environmental gains from less traffic and polluting activities.

On the cost side, there is the decline in output from businesses being shut and people being furloughed or not being able to find work. There is also a cost from schools being closed and children’s education being compromised. Then there is the personal cost to people of being confined to home, a cost that could be great for those in cramped living conditions or in abusive relationships. Over the longer term, there is a cost from people becoming deskilled and firms not investing – so-called scarring effects. Here there are the direct effects and the multiplier effects on the rest of the economy.

Estimating uncertain outcomes

It is difficult enough identifying all the costs and benefits, but many occur in the future and here there is the problem of estimating the probability of their occurrence and their likely magnitude. Just how many lives will be saved from the policy and just how much will the economy be affected? Epidemiological and economic models can help, but there is a huge degree of uncertainty over predictions made about the spread of the disease and the economic effects, especially over the longer term.

One estimate of the number of lives saved was made by Miles et al. in the NIESR paper linked below. A figure of 440 000 was calculated by subtracting the 60 000 actual excess deaths over the period of the lockdown from a figure of 500 000 lives lost which, according to predictions, would have been the consequence of no lockdown. However, the authors acknowledge that this is likely to be a considerable overestimate because:

It does not account for changes in behaviour that would have occurred without the government lockdown; it does not count future higher deaths from side effects of the lockdown (extra cancer deaths for example); and it does not allow for the fact that some of those ‘saved’ deaths may just have been postponed because when restrictions are eased, and in the absence of a vaccine or of widespread immunity, deaths may pick up again.

Some help in estimating likely outcomes from locking down or not locking down the economy can be gained by comparing countries which have taken different approaches. The final article below compares the approaches in the UK and Sweden. Sweden had much lighter control measures than the UK and did not impose a lockdown. Using comparisons of the two approaches, the authors estimate that some 20 000 lives were saved by the lockdown – considerably less than the 440 000 estimate.

Estimating the value of a human life

To assess whether the saving of 20 000 lives was ‘worth it’, a value would have to be put on a life saved. Although putting a monetary value on a human life may be repugnant to many people, such calculations are made whenever a project is assessed which either saves or costs lives. As we say in the 10th edition of Economics (page 381):

Some people argue ‘You can’t put a price on a human life: life is priceless.’ But just what are they saying here? Are they saying that life has an infinite value? If so, the project must be carried out whatever the costs, and even if other benefits are zero! Clearly, when evaluating lives saved from the project, a value less than infinity must be given.
 
Other people might argue that human life cannot be treated like other costs and benefits and put into mathematical calculations. But what are these people saying? That the question of lives saved should be excluded from the cost–benefit study? If so, the implication is that life has a zero value! Again this is clearly not the case.

In practice there are two approaches used to measuring the value of a human life.

The first uses the value of a statistical life (VSL). This is based on the amount extra the average person would need to be paid to work in a job where there is a known probability of losing their life. So if people on average needed to be paid an extra £10 000 to work in a job with a 1% chance of losing their life, they would be valuing a life at £1 000 000 (£10 000/0.01). To avoid the obvious problem of young people’s lives being valued the same as old people’s ones, even though a 20 year-old on average will live much longer than a 70 year-old, a more common measure is the value of a statistical life year (VSLY).

A problem with VSL or VSLY measures is that they only take into account the quantity of years of life lost or saved, not the quality.

A second measure rectifies this problem. This is the ‘quality of life adjusted year (QALY)’. This involves giving a value to a year of full health and then reducing it according to how much people’s quality of life is reduced by illness, injury or poverty. The problem with this measure is the moral one that a sick or disabled person’s life is being valued less than the life of a healthy person. But it is usual to make such adjustments when considering medical intervention with limited resources.

One adjustment often made to QALYs or VSLYs is to discount years, so that one year gained would be given the full value and each subsequent year would be discounted by a certain percentage from the previous year – say, 3%. This would give a lower weighting to years in the distant future than years in the near future and hence would reduce the gap in predicted gains from a policy between young and old people.

Conclusion

Given the uncertainties surrounding the measurement of the number of lives saved and the difficulties of assigning a value to them, it is not surprising that the conclusions of a cost–benefit analysis of a lockdown will be contentious. And we have yet to see what the long-term effects on the economy will be. But, at least a cost–benefit analysis of the lockdown can help to inform discussion and help to drive future policy decisions about tackling a second wave, whether internationally, nationally or locally.

Articles

Questions

  1. What are the arguments for and against putting a monetary value on a life saved?
  2. Are QALYs the best way of measuring lives saved from a policy such as a lockdown?
  3. If the outcomes of a lockdown are highly uncertain, does this strengthen or weaken the case for a lockdown? Explain.
  4. What specific problems are there in estimating the number of lives saved by a lockdown?
  5. How might the age distribution of people dying from Covid-19 affect the calculation of the cost of these deaths (or the benefits or avoiding them)?
  6. How might you estimate the costs to people who suffer long-term health effects from having had Covid-19?
  7. What are the arguments for and against using discounting in estimating future QALYs?
  8. The Department of Transport currently uses a figure of £1 958 303 (in 2018 prices) for the value of a life saved from a road safety project. Find out how this is figure derived and comment on it. See Box 12.5 in Economics 10th edition and Accident and casualty costs, Tables RAS60001 and RA60003, (Department of Transport, 2019).