Tag: sentiment

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How values affect outcomes

Each year the BBC hosts the Reith Lectures – a series of talks given by an eminent person in their field. This year’s lecturer is Mark Carney, former Governor of the Bank of England. His series of four weekly lectures began on 2 December 2020. Their topic is ‘How we get what we value’. As the BBC site states, the lectures:

chart how we have come to esteem financial value over human value and how we have gone from market economies to market societies. He argues that this has contributed to a trio of crises: of credit, Covid and climate. And the former Bank of England governor will outline how we can turn this around.

In lectures 2, 3 and 4, he looks at three crises and how they have shaped and are shaping what we value. The crises are the financial crisis of 2007–9, the coronavirus pandemic and the climate crisis. They have challenged how we value money, health and the environment respectively and, more broadly, have prompted people to question what is valuable for individuals and society, both today and into the future.

The questions posed by Carney are how can we establish what is valuable to individuals and society, how well are such values met by economies and how can mechanisms be improved to ensure that we make the best use of resources in meeting those values.

Value and the market

In the first lecture he probes the concept of value. He explores how economists and philosophers have tried to value the goods, services and human interactions that we desire.

First there is ‘objective value’ propounded by classical economists, such as Adam smith, David Ricardo and Karl Marx. Here the value of goods and services depends on the amount of resources used to make them and fundamentally on the amount of labour. In other words, value is a supply-side concept.

This he contrasts with ‘subjective value’. Here the value of goods and services depends on how well they satisfy wants – how much utility they give the consumer. For these neoclassical economists, value is in the eye of the beholder; it is a demand-side concept.

The two are reconciled in the market, with market prices reflecting the balance of demand and supply. Market prices provided a solution to the famous diamonds/water paradox (see Box 4.2 in Economics (10th edition) or Case Study 4.3 in Essentials of Economics (8th edition) – the paradox of ‘why water, which is essential for life, is virtually free, but diamonds, which have limited utility beyond their beauty, are so expensive.’ The answer is to do with scarcity and marginal utility. Because diamonds are rare, the marginal utility is high, even though the total utility is low. And because water is abundant, even though its total utility is high, for most people its marginal utility is low. In other words, the value at the margin depends on the balance of demand and supply. Diamonds are much scarcer than water.

But is the market balance the right balance? Are the values implied by the market the same as those of society? ‘Why do financial markets rate Amazon as one of the world’s most valuable companies, but the value of the vast region of the Amazon appears on no ledger until it’s stripped of its foliage and converted into farmland?’ – another paradox highlighted by Carney.

It has long been recognised that markets fail in a number of ways. They are not perfect, with large firms able to make supernormal profits by charging more and producing less, and consumers often being ill-informed and behaving impulsively or being swayed by clever marketing. And many valuable things that we experience, such as human interaction and the beauty of nature, are not bought and sold and thus do not appear in measures of GDP – one of the main ways of valuing a country.

What is more, many of things that are produced in the market have side-effects which are not reflected in prices. These externalities, whether good or bad, can be substantial: for example, the global warming caused by CO2 emissions from industry, transport and electricity production from fossil fuels.

And markets reflect people’s biases towards the present and hence lead to too little investment for the future, whether in healthcare, the environment or physical and social infrastructure. Markets reflect the scant regard many give to the damage we might be doing to the lives of future generations.

What is particularly corrosive, according to Carney, is the

drift from moral to market sentiments. …Increasingly, the value of something, some act or someone is equated with its monetary value, a monetary value that is determined by the market. The logic of buying and selling no longer applies only to material goods, but increasingly it governs the whole of life from the allocation of healthcare, education, public safety and environmental protection. …Market value is taken to represent intrinsic value, and if a good or activity is not in the market, it is not valued.

The drift from moral to market sentiments accelerated in the Thatcher/Regan era, when governments were portrayed as inefficient allocators, which stifled competition, innovation and the movement of capital. Deregulation and privatisation were the order of the day. This, according to Carney, ‘unleashed a new dynamism’ and ‘with the fall of communism at the end of the 1980s, the spread of the market grew unchecked.’

But this drift failed to recognise market failures. It has taken three crises, the financial crisis, Covid and the climate crisis to bring these failures to the top of the public agenda. They are examined in the other three lectures.

The Reith Lectures

Questions

  1. Distinguish between objective and subjective value.
  2. If your income rises, will you necessarily be happier? Explain.
  3. How is the concept of diminishing marginal utility of income relevant to explaining why ‘A Christmas bonus of £1000 means less to Mark Zuckerberg then £500 does to someone on a minimum wage.’
  4. Does the use of social cost–benefit analysis enable us to use adjusted prices as a measure of value?
  5. Listen to lectures 2, 3 and 4 and provide a 500-word summary of each.
  6. Assess the arguments Mark Carney uses in one of these three lectures.
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Economic forecasts: are they of any value?

Economic forecasting came in for much criticism at the time of the financial crisis and credit crunch. Few economists had predicted the crisis and its consequences. Even Queen Elizabeth II, on a visit to the London School of Economics in November 2008, asked why economists had got it so wrong. Similar criticisms have emerged since the Brexit vote, with economic forecasters being accused of being excessively pessimistic about the outcome.

The accuracy of economic forecasts was one of the topics discussed by Andy Haldane, Chief Economist at the Bank of England. Speaking at the Institute for Government in London, he compared economic forecasting to weather forecasting (see section from 15’20” in the webcast):

“Remember that? Michael Fish getting up: ‘There’s no hurricane coming but it will be very windy in Spain.’ Very similar to the sort of reports central banks – naming no names – issued pre-crisis, ‘There is no hurricane coming but it might be very windy in the sub-prime sector.” (18’40”)

The problem with the standard economic models which were used for forecasting is that they were essentially equilibrium models which work reasonably well in ‘normal’ times. But when there is a large shock to the economic system, they work much less well. First, the shocks themselves are hard to predict. For example, the sub-prime crisis in 2007/8 was not foreseen by most economists.

Then there is the effect of the shocks. Large shocks are much harder to model as they can trigger strong reactions by consumers and firms, and governments too. These reactions are often hugely affected by sentiment. Bouts of pessimism or even panic can grip markets, as happened in late 2008 with the collapse of Lehman Brothers. Markets can tumble way beyond what would be expected by a calm adjustment to a shock.

It can work the other way too. Economists generally predicted that the Brexit vote would lead to a fall in GDP. However, despite a large depreciation of sterling, consumer sentiment held up better than was expected and the economy kept growing.

But is it fair to compare economic forecasting with weather forecasting? Weather forecasting is concerned with natural phenomena and only seeks to forecast with any accuracy a few days ahead. Economic forecasting, if used correctly, highlights the drivers of economic change, such as government policy or the Brexit vote, and their likely consequences, other things being equal. Given that economies are constantly being affected by economic shocks, including government or central bank actions, it is impossible to forecast the state of the macroeconomy with any accuracy.

This does not mean that forecasting is useless, as it can highlight the likely effects of policies and take into account the latest surveys of, say, consumer and business confidence. It can also give the most likely central forecast of the economy and the likely probabilities of variance from this central forecast. This is why many forecasts use ‘fan charts’: see, for example, Bank of England forecasts.

What economic forecasts cannot do is to predict the precise state of the economy in the future. However, they can be refined to take into account more realistic modelling, including the modelling of human behaviour, and more accurate data, including survey data. But, however refined they become, they can only ever give likely values for various economic variables or likely effects of policy measures.

Webcast

Andy Haldane in Conversation Institute for Government (5/1/17)

Articles

‘Michael Fish’ Comments From Andy Haldane Pounced Upon By Brexit Supporters Huffington Post, Chris York (6/1/17)
Crash was economists’ ‘Michael Fish’ moment, says Andy Haldane BBC News (6/1/17)
The Bank’s ‘Michael Fish’ moment BBC News, Kamal Ahmed (6/1/17)
Bank of England’s Haldane admits crisis in economic forecasting Financial Times, Chris Giles (6/1/17)
Chief economist of Bank of England admits errors in Brexit forecasting BBC News, Phillip Inman (5/1/17)
Economists have completely failed us. They’re no better than Mystic Meg The Guardian, Simon Jenkins (6/1/17)
Five things economists can do to regain trust The Guardian, Katie Allen and Phillip Inman (6/1/17)
Andy Haldane: Bank of England has not changed view on negative impact of Brexit Independent, Ben Chu (5/1/17)
Big data could help economists avoid any more embarrassing Michael Fish moments Independent, Hamish McRae (7/1/17)

Questions

  1. In what ways does economic forecasting differ from weather forecasting?
  2. How might economic forecasting be improved?
  3. To what extent were the warnings of the Bank of England made before the Brexit vote justified? Did such warnings take into account actions that the Bank of England was likely to take?
  4. How is the UK economy likely to perform over the coming months? What assumptions are you making here?
  5. Brexit hasn’t happened yet. Why is it extremely difficult to forecast today what the effects of actually leaving the EU will be on the UK economy once it has happened?
  6. If economic forecasting is difficult and often inaccurate, should it be abandoned?
  7. The Bank of England is forecasting that inflation will rise in the coming months. Discuss reasons why this forecast is likely to prove correct and reasons why it may prove incorrect.
  8. How could economic forecasters take the possibility of a Trump victory into account when making forecasts six months ago of the state of the global economy a year or two ahead?
  9. How might the use of big data transform economic forecasting?