Category: Economics for Business: 8e Ch 01

A general election has been called in the UK for 12 December. Central to the debates between the parties will be their policy on Brexit.

They range from the Liberal Democrats’, Plaid Cymru’s and Sinn Féin’s policy of cancelling Brexit and remaining in the EU, to the Scottish Nationalists’ and Greens’ policy of halting Brexit while a People’s Vote (another referendum) is held, with the parties campaigning to stay in the EU, to the Conservative Party’s policy of supporting the Withdrawal Agreement and Political Declaration negotiated between the Boris Johnson government and the EU, to the DUP which supports Brexit but not a version which creates a border between Great Britain and Northern Ireland, to the Brexit Party and UKIP which support leaving the EU with no deal (what they call a ‘clean break’) and then negotiating individual trade deals on a country-by-country basis.

The Labour Party also supports a People’s Vote, but only after renegotiating the Withdrawal Agreement and Political Declaration, so that if Brexit took place, the UK would have a close relationship with the single market and remain in a customs union. Also, various laws and regulations on environmental protection and workers’ rights would be retained. The referendum would take place within six months of the election and would be a choice between this new deal and remain.

But what are the economic costs and benefits of these various alternatives? Prior to the June 2016 referendum, the Treasury costed various scenarios. After 15 years, a deal would make UK GDP between 3.4% and 7.8% lower than if it remained in the EU, depending on the nature of the deal. No deal would make GDP between 5.4% and 9.5% lower.

Then in November 2018, the Treasury published analysis of the original deal negotiated by Theresa May in July 2018 (the ‘Chequers deal’). It estimated that GDP would be up to 3.9% lower after 15 years than it would have been if the UK had remained in the EU. In the case of a no-deal Brexit, GDP would be up to 9.3% lower after 15 years.

When asked for Treasury forecasts of the effects of Boris Johnson’s deal, the Chancellor, Sajid Javid, said that the Treasury had not been asked to provide forecasts as the deal was “self-evidently in our economic interest“.

Other forecasters, however, have analysed the effects of the Johnson deal. The National Institute for Economic and Social Research (NIESR), the UK’s longest established independent economic research institute, has estimated the costs of various scenarios, including the Johnson deal, the May deal, a no-deal scenario and also a scenario of continuing uncertainty with no agreement over Brexit. The NIESR estimates that, under the Johnson deal, with a successful free-trade agreement with the EU, in 10 years’ time UK GDP will be 3.5% lower than it would be by remaining in the EU. This represents a cost of £70 billion. The costs would arise from less trade with the EU, lower inward investment, slower growth in productivity and labour shortages from lower migration. These would be offset somewhat by savings on budget contributions to the EU.

Under Theresa May’s deal UK GDP would be 3.0% lower (and thus slightly less costly than Boris Johnson’s deal). Continuing in the current situation with chronic uncertainty about whether the UK would leave or remain would leave the UK 2% worse off after 10 years. In other words, uncertainty would be less damaging than leaving. The costs from the various scenarios would be in addition to the costs that have already occurred – the NIESR estimates that GDP is already 2.5% smaller than it would have been as a result of the 2016 Brexit vote.

Another report also costs the various scenarios. In ‘The economic impact of Boris Johnson’s Brexit proposals’, Professors Anand Menon and Jonathan Portes and a team at The UK in a Changing Europe estimate the effects of a decline in trade, migration and productivity from the various scenarios – again, 10 years after new trading arrangements are in place. According to their analysis, UK GDP would be 4.9%, 6.4% and 8.1% lower with the May deal, the Johnson deal and no deal respectively than it would have been from remaining in the EU.

But how much reliance should we put on such forecasts? How realistic are their assumptions? What other factors could they have taken into account? Look at the two reports and at the articles discussing them and then consider the questions below which are concerned with the nature of economic forecasting.

Articles

Reports

Questions

  1. What are the arguments in favour of the assumptions and analysis of the two recent reports considered in this blog?
  2. What are the arguments against the assumptions and analysis of the two reports?
  3. How useful are forecasts like these, given the inevitable uncertainty surrounding (a) the outcome of negotiations post Brexit and (b) the strength of the global economy?
  4. If it could be demonstrated beyond doubt to everyone that each of the Brexit scenarios meant that UK GDP would be lower than if it remained in the EU, would this prove that the UK should remain in the EU? Explain.
  5. If economic forecasts turn out to be inaccurate, does this mean that economists should abandon forecasting?

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?

Some commentators have seen the victory of Donald Trump and, prior to that, the Brexit vote as symptoms of a crisis in capitalism. Much of the campaigning in the US election, both by Donald Trump on the right and Bernie Sanders on the left focused on the plight of the poor. Whether the blame was put on immigration, big government, international organisations, the banks, cheap imports undercutting jobs or a lack of social protection, the message was clear: capitalism is failing to improve the lot of the majority. A small elite is getting significantly richer while the majority sees little or no gain in their living standards and a rise in uncertainty.

The articles below look at this crisis. They examine the causes, which they agree go back many years as capitalism has evolved. The financial crash of 2008 and the slow recovery since are symptomatic of the underlying changes in capitalism.

The Friedman article focuses on the slowing growth in technological advance and the problem of aging populations. What technological progress there is is not raising incomes generally, but is benefiting a few entrepreneurs and financiers. General rises in income may eventually come, but it may take decades before robotics, biotechnological advances, e-commerce and other breakthrough technologies filter through to higher incomes for everyone. In the meantime, increased competition through globalisation is depressing the incomes of the poor and economically immobile.

All the articles look at the rise of the rich. The difference with the past is that the people who are gaining the most are not doing so from production but from financial dealing or rental income; they have gained while the real economy has stagnated.

The gains to the rich have come from the rise in the value of assets, such as equities (shares) and property, and from the growth in rental incomes. Only a small fraction of finance is used to fund business investment; the majority is used for lending against existing assets, which then inflates their prices and makes their owners richer. In other words, the capitalist system is moving from driving growth in production to driving the inflation of asset prices and rental incomes.

The process whereby financial markets grow and in turn drive up asset prices is known as ‘financialisation’. Not only is the process moving away from funding productive investment and towards speculative activity, it is leading to a growth in ‘short-termism’. The rewards of senior managers often depend on the price of their companies’ shares. This leads to a focus on short-term profit and a neglect of long-term growth and profitability – to a neglect of investment in R&D and physical capital.

The process of financialisation has been driven by deregulation, financial innovation, the growth in international financial flows and, more recently, by quantitative easing and low interest rates. It has led to a growth in private debt which, in turn, creates more financial instability. The finance industry has become so profitable that even manufacturing companies are moving into the business of finance themselves – often finding it more profitable than their core business. As the Foroohar article states, “the biggest unexplored reason for long-term slower growth is that the financial system has stopped serving the real economy and now serves mainly itself.”

So will the election of Donald Trump, and pressure from populism in other countries too, mean that governments will focus more on production, job creation and poverty reduction? Will there be a movement towards fiscal policy to drive infrastructure spending? Will there be a reining in of loose monetary policy and easy credit?

Or will addressing the problem of financialisation and the crisis of capitalism result in the rich continuing to get richer at the expense of the poor, but this time through more conventional channels, such as increased production and monopoly profits and tax cuts for the rich? Trump supporters from among the poor hope the answer is no. Those who supported Bernie Sanders in the Democratic primaries think the answer will be yes and that the solution to over financialisation requires more, not less, regulation, a rise in minimum wages and fiscal policies aimed specifically at the poor.

Articles

Can Global Capitalism Be Saved? Project Syndicate, Alexander Friedman (11/11/16)
American Capitalism’s Great Crisis Time, Rana Foroohar (12/5/16)
The Corruption of Capitalism by Guy Standing review – work matters less than what you own The Guardian, Katrina Forrester (26/10/16)

Questions

  1. Do you agree that capitalism is in crisis? Explain.
  2. What is meant by financialisation? Why has it grown?
  3. Will the policies espoused by Donald Trump help to address the problems caused by financialisation?
  4. What alternative policies are there to those of Trump for addressing the crisis of capitalism?
  5. Explain Schumpeter’s analysis of creative destruction.
  6. What technological innovations that are currently taking place could eventually benefit the poor as well as the rich?
  7. What disincentives are there for companies investing in R&D and new equipment?
  8. What are the arguments for and against a substantial rise in the minimum wage?

The articles below examine the rise of the sharing economy and how technology might allow it to develop. A sharing economy is where owners of property, equipment, vehicles, tools, etc. rent them out for periods of time, perhaps very short periods. The point about such a system is that the renter deals directly with the property owner – although sometimes initially through an agency. Airbnb and Uber are two examples.

So far the sharing economy has not developed very far. But the development of smart technology will soon make a whole range of short-term renting contracts possible. It will allow the contracts to be enforced without the need for administrators, lawyers, accountants, bankers or the police. Payments will be made electronically and automatically, and penalties, too, could be applied automatically for not abiding by the contract.

One development that will aid this process is a secure electronic way of keeping records and processing payments without the need for a central authority, such as a government, a bank or a company. It involves the use of ‘blockchains‘ (see also). The technology, used in Bitcoin, involves storing data widely across networks, which allows the data to be shared. The data are secure and access is via individuals having a ‘private key’ to parts of the database relevant to them. The database builds in blocks, where each block records a set of transactions. The blocks build over time and are linked to each other in a logical order (i.e. in ‘chains’) to allow tracking back to previous blocks.

Blockchain technology could help the sharing economy to grow substantially. It could significantly cut down the cost of sharing information about possible rental opportunities and demands, and allow minimal-cost secure transactions between owner and renter. As the IBM developerWorks article states:

Rather than use Uber, Airbnb or eBay to connect with other people, blockchain services allow individuals to connect, share, and transact directly, ushering in the real sharing economy. Blockchain is the platform that enables real peer-to-peer transactions and a true ‘sharing economy’.

Article

New technology may soon resurrect the sharing economy in a very radical form The Guardian, Ben Tarnoff (17/10/16)
Blockchain and the sharing economy 2.0 IBM developerWorks, Lawrence Lundy (12/5/16)
2016 is set to become the most interesting year yet in the life story of the sharing economy Nesta, Helen Goulden (Dec 2015)
Blockchain Explained Business Insider, Tina Wadhwa and Dan Bobkoff (16/10/16)
A parliament without a parliamentarian Interfluidity, Steve Randy Waldman (19/6/16)
Blockchain and open innovation: What does the future hold Tech City News, Jamie QIU (17/10/16)
Banks will not adopt blockchain fast Financial Times, Oliver Bussmann (14/10/16)
Blockchain-based IoT project does drone deliveries using Ethereum International Business Times, Ian Allison (14/10/16)

Questions

  1. What do you understand by the ‘sharing economy’?
  2. Give some current examples of the sharing economy? What other goods or services might be suitable for sharing if the technology allowed?
  3. How could blockchain technology be used to cut out the co-ordinating role carried out by companies such as Uber, eBay and Airbnb and make their respective services a pure sharing economy?
  4. Where could blockchain technology be used other than in the sharing economy?
  5. How can blockchain technology not only record property rights but also enforce them?
  6. What are the implications of blockchain technology for employment and unemployment? Explain.
  7. How might attitudes towards using the sharing economy develop over time and why?
  8. Referring to the first article above, what do you think of Toyota’s use of blockchain to punish people who fall behind on their car payments? Explain your thinking.
  9. Would the use of blockchain technology in the sharing economy make markets more competitive? Could it make them perfectly competitive? Explain.