Category: Podcasts and Videos

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Discretionary fiscal policy writ large: Biden’s stimulus plans

On 10 March, the House of Representatives gave final approval to President Biden’s $1.9tr fiscal stimulus plan (the American Rescue Plan). Worth over 9% of GDP, this represents the third stage of an unparalleled boost to the US economy. In March 2020, President Trump secured congressional agreement for a $2.2tr package (the CARES Act). Then in December 2020, a bipartisan COVID relief bill, worth $902bn, was passed by Congress.

By comparison, the Obama package in 2009 in response to the impending recession following the financial crisis was $831bn (5.7% of GDP).

The American Rescue Plan

The Biden stimulus programme consists of a range of measures, the majority of which provide monetary support to individuals. These include a payment of $1400 per person for single people earning less than $75 000 and couples less than $150 000. These come on top of payments of $1200 in March 2020 and $600 in late December. In addition, the top-up to unemployment benefits of $300 per week agreed in December will now continue until September. Also, annual child tax credit will rise from $2000 annually to as much as $3600 and this benefit will be available in advance.

Other measures include $350bn in grants for local governments depending on their levels of unemployment and other needs; $50bn to improve COVID testing centres and $20bn to develop a national vaccination campaign; $170bn to schools and universities to help them reopen after lockdown; and grants to small businesses and specific grants to hard-hit sectors, such as hospitality, airlines, airports and rail companies.

Despite supporting the two earlier packages, no Republican representative or senator backed this latest package, arguing that it was not sufficiently focused. As a result, reaction to the package has been very much along partisan lines. Nevertheless, it is supported by some 90% of Democrat voters and 50% of Republican voters.

Is the stimulus the right amount?

Although the latest package is worth $1.9tr, aggregate demand will not expand by this amount, which will limit the size of the multiplier effect. The reason is that the benefits multiplier is less than the government expenditure multiplier as some of the extra money people receive will be saved or used to reduce debts.

With $3tr representing some 9% of GDP, this should easily fill the estimated negative output gap of between 2% and 3%, especially when multiplier effects are included. Also, with savings having increased during the recession to put them some 7% above normal, the additional amount saved may be quite small, and wealthier Americans may begin to reduce their savings and spend a larger proportion of their income.

So the problem might be one of excessive stimulus, which in normal times could result in crowding out by driving up interest rates and dampening investment. However, the Fed is still engaged in a programme of quantitative easing. Between mid-March 2020 and the end of March 2021, the Fed’s portfolio of securities held outright grew from $3.9tr to $7.2tr. What is more, many economists predict that inflation is unlikely to rise other than very slightly. If this is so, it should allow the package to be financed easily. Debt should not rise to unsustainable levels.

Other economists argue, however, that inflationary expectations are rising, reflected in bond yields, and this could drive actual inflation and force the Fed into the awkward dilemma of either raising interest rates, which could have a significant dampening effect, or further increasing money supply, potentially leading to greater inflationary problems in the future.

A lot will depend what happens to potential GDP. Will it rise over the medium term so that additional spending can be accommodated? If the rise in spending encourages an increase in investment, this should increase potential GDP. This will depend on business confidence, which may be boosted by the package or may be dampened by worries about inflation.

Additional packages to come

Potential GDP should also be boosted by two further packages that Biden plans to put to Congress.

The first is a $2.2tr infrastructure investment plan, known as the American Jobs Plan. This is a 10-year plan to invest public money in transport infrastructure (such as rebuilding 20 000 miles of road and repairing bridges), public transport, electric vehicles, green housing, schools, water supply, green power generation, modernising the power grid, broadband, R&D in fields such as AI, social care, job training and manufacturing. This will be largely funded through tax increases, such as gradually raising corporation tax from 21% to 28% (it had been cut from 35% to 21% by President Trump) and taxing global profits of US multinationals. However, the spending will generally precede the increased revenues and thus will raise aggregate demand in the initial years. Only after 15 years are revenues expected to exceed costs.

The second is a yet-to-be announced plan to increase spending on childcare, healthcare and education. This should be worth at least $1tr. This will probably be funded by tax increases on income, capital gains and property, aimed largely at wealthy individuals. Again, it is hoped that this will boost potential GDP, in this case by increasing labour productivity.

With earlier packages, the total increase in public spending will be over $8tr. This is discretionary fiscal policy writ large.

Articles

Videos

Questions

  1. Draw a Keynesian cross diagram to show the effect of an increase in benefits when the economy is operating below potential GDP.
  2. What determines the size of the benefits multiplier?
  3. Explain what is meant by the output gap. How might the pandemic and accompanying emergency health measures have affected the size of the output gap?
  4. How are expectations relevant to the effectiveness of the stimulus measures?
  5. What is likely to determine the proportion of the $1400 stimulus cheques that people spend?
  6. Distinguish between resource crowding out and financial crowding out. Is the fiscal stimulus package likely to result in either form of crowding out and, if so, what will determine by how much?
  7. What is the current monetary policy of the Fed? How is it likely to impact on the effectiveness of the fiscal stimulus?
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Food sustainability

Each week, BBC Radio 4 broadcasts readings from a book serialised in five 15-minute episodes. In the week beginning 18 January 2021, the readings were from English Pastoral: An Inheritance by James Rebanks, a farmer from the Cumbrian fells. His farm is relatively small, covering 185 acres.

He has attempted to make it much more sustainable and less intensive, reintroducing traditional Herdwick sheep, having a mixture of cows and sheep rather than just sheep, a greater sub-division of fields, and more natural scrubland, peatbogs and trees. As a result, soil quality has improved and there has been an explosion of biodiversity, with an abundance of wild flowers and insects.

Apart from being an autobiography of his time as a farmer and his attempt to move towards more traditional methods, the book examines broader issues of agricultural sustainability. It looks at the pressures of consumers wanting cheap food, the market power of supermarkets and wholesalers, the cost pressures on farmers pushing them towards monoculture to achieve economies of scale, and the role of the agrichemicals industry promoting fertilisers, feeds and pesticides which bring short-term financial gains to farmers, but which cause longer-term damage to the land and to biodiversity.

Rebanks has gained quite a lot of media attention after the publication of his first book, The Shepherd’s Life, including being one of the guests on Desert Island Discs and the subject of an episode of The Food Programme.

Listen to the Food Programme podcast and try answering the questions, which are all based on the podcast in the order of the points made in the interview.

Podcast

Reviews

Questions

  1. What are the incentives of an unregulated market for food that result in monoculture and a loss of biodiversity?
  2. To what extent are consumers responsible for changes in farming methods?
  3. Have the changes helped the urban poor?
  4. How is the monopsony power of supermarkets and food wholesalers impacting on food production and the pattern of agriculture?
  5. There are various (private) economies of scale in food production, but these often involve substantial external costs and long-term private costs too. How does this impact on land use?
  6. What are some of the limits of technology in increasing crop, meat and dairy yields?
  7. Will more recent changes in the pattern of food consumption help to increase mixed farming and biodiversity?
  8. Is it ‘rational’ for many farmers to continue with intensive farming with high levels of artificial fertilisers and pesticides?
  9. Is diversity in farming across farms within a local area a public good? If so, how could such diversity be achieved?
  10. How can farmers be encouraged to think and act holistically?
  11. Is there a trade-off between food output and biodiversity?
  12. What are the dangers in the UK reaching an agricultural trade deal with the USA?
  13. What are the benefits and costs of encouraging local food markets?
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Is growing inequality fair?

In a series of five podcasts, broadcast on BBC Radio 4 in the first week of January 2021, Amol Rajan and guests examine different aspects of inequality and consider the concept of fairness.

As the notes to the programme state:

The pandemic brought renewed focus on how we value those who have kept shelves stacked, transport running and the old and sick cared for. So is now the time to bring about a fundamental shift in how our society and economy work?

The first podcast, linked below, examines the distribution of wealth in the UK and how it has changed over time. It looks at how rising property and share prices and a lightly taxed inheritance system have widened inequality of wealth.

It also examines rising inequality of incomes, a problem made worse by rising wealth inequality, the move to zero-hour contracts, gig working and short-term contracts, the lack of social mobility, austerity following the financial crisis of 2007–9 and the lockdowns and restrictions to contain the coronavirus pandemic, with layoffs, people put on furlough and more and more having to turn to food banks.

Is this rising inequality fair? Should fairness be considered entirely in monetary terms, or should it be considered more broadly in social terms? These are issues discussed by the guests. They also look at what policies can be pursued. If the pay of health and care workers, for example, don’t reflect their value to our society, what can be done to increase their pay? If wealth is very unequally distributed, should it be redistributed and how?

The questions below are based directly on the issues covered in the podcast in the order they are discussed.

Podcast

Questions

  1. In what ways has Covid-19 been the great ‘unequaliser’?
  2. What scarring/hysteresis effects are there likely to be from the pandemic?
  3. To what extent is it true that ‘the more your job benefits other people, the less you get paid’?
  4. How has the pandemic affected inter-generational inequality?
  5. How have changes in house prices skewed wealth in the UK over the past decade?
  6. How have changes in the pension system contributed to inter-generational inequality?
  7. How has quantitative easing affected the distribution of wealth?
  8. Why is care work so poorly paid and how can the problem be addressed?
  9. How desirable is the pursuit of wealth?
  10. How would you set about defining ‘fairness’?
  11. Is a mix of taxation and benefits the best means of tackling economic unfairness?
  12. How would you set about deciding an optimum rate of inheritance tax?
  13. How do you account for the growth of in-work poverty?
  14. In what ways could wealth be taxed? What are the advantages and disadvantages of such taxes?
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The UK and the EU: all change, or is it?

At 23:00 on 31 December 2020, the UK withdrew from the European single market. This ended the transition period which followed the UK’s departure from the EU on 31 January 2020. But, with the Trade and Cooperation Agreement (‘the deal’) signed on 30 December, it was agreed that there would be no tariffs or quotas on trade in goods between the UK and the EU.

So what are the new economic relations between the EU and the UK and how will they impact on the UK economy? What new restrictions are there on trade in goods and on the movement of labour and capital? How is trade in services, including financial services, affected? What new agreements, such as on fishing, will replace previous agreements?

What will happen to trade between Northern Ireland and the Republic of Ireland? What will happen to trade between Great Britain and Northern Ireland?

What will happen to regulations over standards of traded products and their production? Will the UK government be able to provide subsidies or other types of support for goods or services exported to the EU? How will disputes about standards and support to companies be resolved?

How will trade with non-EU countries change? If the EU has trade agreements with such countries, do these agreements now apply to trade between the UK and such countries? How free is the UK now to negotiate new trade agreements with non-EU countries? How will the UK’s negotiating strength be affected by its withdrawal from the EU?

Rather than listing the changes here, follow the links below to the articles and assess the nature of the changes and then attempt the questions. The articles represent a balance of views.

What is clear is that these are all big issues and are likely to have a significant impact on the UK economy. Most economists argue that the net effect will be negative on trade and economic growth, but there is huge uncertainty about the magnitude of the effects. Much will depend on how arrangements between the UK and the EU develop over the coming months and years.

Articles

UK and EU documents

Questions

  1. Summarise the main features of the Trade and Cooperation Agreement and how the UK’s new relationship with the EU differs from being a member.
  2. What are the potential economic benefits from being outside the EU?
  3. What are the economic drawbacks for the UK from having left the EU, albeit with the new Trade and Cooperation Agreement?
  4. On balance, do you think that the UK will gain or lose economically from having left the EU? Explain your answer.
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Lockdown – again.  Is it worth it?

Mid-December saw a rapid rise in coronavirus cases in London and the South East and parts of eastern and central southern England. This was due to a new strain of Covid, which is more infectious. In response, the UK government introduced a new tier 4 level of restrictions for these areas from 20 December. These amount to a complete lockdown. The devolved administrations also announced lockdowns. In addition, the Christmas relaxation of rules was tightened across the UK. Households (up to three) were only allowed to get together on Christmas day and not the days either side (or one day between 23 and 27 December in the case of Northern Ireland). Tier 4 residents were not allowed to visit other households even on Christmas day.

The lockdowns aimed to slow the spread of the virus and reduce deaths. But this comes at a considerable short-term economic cost, especially to the retail and leisure sectors, which are required to close while the lockdowns remain in force. In taking the decision to introduce these tougher measures, the four administrations had to weigh up the benefits of reduced deaths and illness and pressure on the NHS against the short-term economic damage. As far a long-term economic damage is concerned, this might be even greater if lockdowns were not imposed and the virus spread more rapidly.

In a blog back in September, we examined the use of cost–benefit analysis (CBA) to aid decision-making about such decisions. The following is an updated version of that blog.

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.

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 if schools have to close and children’s education is thereby 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, especially with a new strain of the virus, 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 first lockdown (March to June 2020) 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 in the first list 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 measure 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.

Cost–effectiveness analysis (CEA)

Even using QALYs, there is still the problem of measuring life and health/sickness. A simpler approach is to use cost–effectiveness analysis (CEA). This takes a social goal, such as reducing the virus production rate (R) below 1 (e.g. to 0.9), and then finding the least-cost way of achieving this. As Mark Carney says in his third Reith Lecture:

As advocated by the economists Nick Stern and Tim Besley, the ideal is to define our core purpose first and then determine the most cost-effective interventions to achieve this goal. Such cost–effectiveness analysis explicitly seeks to achieve society’s values.

Cost–effectiveness analysis can take account of various externalities – as many of the costs will be – by giving them a value. For example, the costs of a lockdown to people in the hospitality sector or to the education of the young could be estimated and included in the costs. The analysis can also take into account issues of fairness by identifying the effects on inequality when certain groups suffer particularly badly from Covid or lockdown policies – groups such as the poor, the elderly and children. Achieving the goal of a specific R for the least cost, including external costs and attaching higher weights on the effects on certain groups then becomes the goal. As Carney says:

R brings public health and economics together. Relaxations of restrictions increase R, with economic, health and social consequences. A strategic approach to Covid is the best combination of policies to achieve the desired level of infection control at minimum economic cost with due respect for inequality, mental health and other social consequences, and calculating those costs then provides guidance when considering different containment strategies. That means paying attention to the impact on measures of fairness, the social returns to education, intergenerational equity and economic dynamism.

Conclusion

Given the uncertainties surrounding the measurement of the number of lives saved and the difficulties of assigning a value to them, and given the difficulties of estimating the economic and social effects of lockdowns, it is not surprising that the conclusions of a cost–benefit analysis, or even a cost–effectiveness analysis of a lockdown will be contentious. But, at least such analysis can help to inform discussion and drive future policy decisions. And a cost–effectiveness analysis can be a practical way of helping politicians reach difficult decisions about life and death and the economy.

Articles (original blog)

Articles (additional)

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. Compare the relative merits of cost–benefit analysis and cost–effectiveness analysis.
  4. If the outcomes of a lockdown are highly uncertain, does this strengthen or weaken the case for a lockdown? Explain.
  5. What specific problems are there in estimating the number of lives saved by a lockdown?
  6. 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)?
  7. How might you estimate the costs to people who suffer long-term health effects from having had Covid-19?
  8. What are the arguments for and against using discounting in estimating future QALYs?
  9. 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).