Elections are times of peak deception. Political parties have several ways in which they can use data to persuade people to vote for them. At one extreme, they can simply make up ‘facts’ – in other words, they can lie. There have been various examples of such lies in the run-up to the UK general election of 12 December 2019. The linked article below gives some examples. But data can be used in other deceptive ways, short of downright lies.
Politicians can use data in two ways. First, statistics can be used to describe, explain and interpret the past. Second, they can be used as the basis of forecasts of the future effects of policies.
In terms of past data, one of the biggest means of deception is the selective use of data. If you are the party currently in power, you highlight the good news and ignore the bad. You do the reverse if you are currently in opposition. The data may be correct, but selective use of data can give a totally false impression of events.
In terms of forecast data, you highlight those forecasts, or elements of them, that are favourable to you and ignore those that are not.
Politicians rely on people’s willingness to look selectively at data. People want to see ‘evidence’ that reinforces their political views and prejudices. News media know this and happily do the same as politicians, selectively using data favourable to their political leanings. And it’s not just newspapers that do this. There are many online news sites that feed their readers with data supportive of their position. And there are many social media platforms, where people can communicate with people in their political ‘bubble’.
Genuine fact-checking sites can help, as can independent forecasters, such as the Institute for Fiscal Studies. But too many voters would rather only look at evidence, genuine or not, that supports their political point of view.
This can make life hard for economists who seek to explain the world with an open mind, based on a non-biased use of evidence – and hard for economic forecasters, who want to use full and accurate data in their models and to make realistic assumptions, emphasising that their forecasts are only the most likely outcome, not a certainty. As the article states:
Economic forecasts are flawed and their limitations should be acknowledged. But they should not be blindly dismissed as fake facts. And as far as political debate and discourse is concerned, in the long run, the truth may will out.
- Give some specific examples of ways in which politicians misuse data.
- Give some specific examples of ways in which politicians misuse the analysis of economists.
- Distinguish between positive and normative statements? Should economists make policy recommendations? If so, in what context?
- Why are economic forecasts flawed, but why should they not be dismissed as ‘fake facts’?
- Examine the manifestos of two political parties and provide a critique of their economic analysis.
Economists are often criticised for making inaccurate forecasts and for making false assumptions. Their analysis is frequently dismissed by politicians when it contradicts their own views.
But is this fair? Have economists responded to the realities of the global economy and to the behaviour of people, firms, institutions and government as they respond to economic circumstances? The answer is a qualified yes.
Behavioural economics is increasingly challenging the simple assumption that people are ‘rational’, in the sense that they maximise their self interest by weighing up the marginal costs and benefits of alternatives open to them. And macroeconomic models are evolving to take account of a range of drivers of global growth and the business cycle.
The linked article and podcast below look at the views of 2019 Nobel Prize-winning economist Esther Duflo. She has challenged some of the traditional assumptions of economics about the nature of rationality and what motivates people. But her work is still very much in the tradition of economists. She examines evidence and sees how people respond to incentives and then derives policy implications from the analysis.
Take the case of the mobility of labour. She examines why people who lose their jobs may not always move to a new one if it’s in a different town. Partly this is for financial reasons – moving is costly and housing may be more expensive where the new job is located. Partly, however, it is for reasons of identity. Many people are attached to where they currently live. They may be reluctant to leave family and friends and familiar surroundings and hope that a new job will turn up – even if it means a cut in wages. This is not irrational; it just means that people are driven by more than simply wages.
Duflo is doing what economists typically do – examining behaviour in the light of evidence. In her case, she is revisiting the concept of rationality to take account of evidence on what motivates people and the way they behave.
In the light of workers’ motivation, she considers the implications for the gains from trade. Is free trade policy necessarily desirable if people lose their jobs because of cheap imports from China and other developing countries where labour costs are low?
The answer is not a clear yes or no, as import-competing industries are only part of the story. If protectionist policies are pursued, other countries may retaliate with protectionist policies themselves. In such cases, people working in the export sector may lose their jobs.
She also looks at how people may respond to a rise or cut in tax rates. Again the answer is not clear cut and an examination of empirical evidence is necessary to devise appropriate policy. Not only is there an income and substitution effect from tax changes, but people are motivated to work by factors other than take-home pay. Likewise, firms are encouraged to invest by factors other than the simple post-tax profitability of investment.
- In traditional ‘neoclassical’ economics, what is meant by ‘rationality’ in terms of (a) consumer behaviour; (b) producer behaviour?
- How might the concept of rationality be expanded to take into account a whole range of factors other than the direct costs and benefits of a decision?
- What is meant by bounded rationality?
- What would be the effect on workers’ willingness to work more or fewer hours as a result of a cut in the marginal income tax rate if (a) the income effect was greater than the substitution effect; (b) the substitution effect was greater than the income effect? Would your answers to (a) and (b) be the opposite in the case of a rise in the marginal income tax rate?
- Give some arguments that you consider to be legitimate for imposing controls on imports in (a) the short run; (b) the long run. How might you counter these arguments from a free-trade perspective?
With the growing recognition of the global climate emergency (see also), attention is being increasingly focused on policies to tackle global warming.
In the October version of its journal, Fiscal Monitor, the IMF argues that carbon taxes can play a major part in meeting the goal of achieving net zero carbon emissions by 2050 or earlier.
As the blog accompanying the journal states:
Global warming has become a clear and present threat. Actions and commitments to date have fallen short. The longer we wait, the greater the loss of life and damage to the world economy. Finance ministers must play a central role to champion and implement fiscal policies to curb climate change. To do so, they should reshape the tax system and fiscal policies to discourage carbon emissions from coal and other polluting fossil fuels.
The effect of a carbon tax on production
The argument is that carbon emissions represent a massive negative externality, where the costs are borne largely by people other than the emitters. Taxes can internalise these externalities. The effect would be to raise the price of carbon-emitting activities and reduce the quantity consumed and hence produced.
The diagram illustrates the argument. It takes the case of carbon emissions from coal-fired electricity generation in a large country. To keep the analysis simple, it is assumed that all electricity in the country is generated from coal-fired power stations and that there are many such power stations, making the market perfectly competitive.
It is assumed that all the benefits from electricity production accrue solely to the consumers of electricity (i.e. there are no external benefits from consumption). Marginal private and marginal social benefits of the production of electricity are thus the same (MPB = MSB). The curve slopes downwards because, with a downward-sloping demand for electricity, higher output results in a lower marginal benefit (diminishing marginal utility).
Competitive market forces, with producers and consumers responding only to private costs and benefits, will result in a market equilibrium at point a in the diagram: i.e. where demand equals supply. The market equilibrium price is P0 while the market equilibrium quantity is Q0. However the presence of external costs in production means that MSC > MPC. In other words, MEC = b – a.
The socially optimal output would be Q* where P = MSB = MSC, achieved at the socially optimal price of P*. This is illustrated at point d and clearly shows how external costs of production in a perfectly competitive market result in overproduction: i.e. Q0 > Q*. From society’s point of view, too much electricity is being produced and consumed.
If a carbon tax of d – c is imposed on the electricity producers, it will now be in producers’ interests to produce at Q*, where their new private marginal costs (including tax) equals their marginal private benefit.
Assessing the benefits of carbon taxes
The diagram shows the direct effect on production of electricity. With widespread carbon taxes, there would be similar direct effects on other industries that emit carbon, and also on consumers, faced with higher fuel prices. In the UK, for example, there are currently higher taxes on high-emissions vehicles than on low-emissions ones.
However, there are other effects of carbon taxes which contribute to the reduction in carbon emissions over the longer term. First, firms will have an incentive to invest in green energy production, such as wind, solar and hydro. Second, it will encourage R&D in green energy technology. Third, consumers will have an incentive to use less electricity by investing in more efficient appliances and home insulation and making an effort to turn off lights, the TV, computers and so on.
People may object to paying more for electricity, gas and motor fuel, but the tax revenues could be invested in cheaper clean public transport, home insulation and public services generally, such as health and education. This could be part of a policy of redistribution, with the tax revenues being spent on alleviating poverty. Alternatively, other taxes could be cut.
The IMF estimates that to restrict global warming to 2°C (a target seen as too modest by many environmentalists), large emitting countries ‘should introduce a carbon tax set to rise quickly to $75 a ton in 2030’.
This would mean household electric bills would go up by 43 per cent cumulatively over the next decade on average – more in countries that still rely heavily on coal in electricity generation, less elsewhere. Gasoline would cost 14 percent more on average.
It gives the example of Sweden, which has a carbon tax of $127 per ton. This has resulted in a 25% reduction in emissions since 1995, while the economy has expanded 75% since then.
Limits of carbon taxes
Although carbon taxes can make a significant contribution to combatting global warming, there are problems with their use.
First, it may be politically popular for governments not to impose them, or raise them, with politicians arguing that they are keen to help ‘struggling motorists’ or poor people ‘struggling to keep their homes warm’. In the UK, successive governments year after year have chosen not to raise road fuel taxes, despite a Fuel Price Escalator (replaced in 2011 by a Fuel Duty Stabiliser) designed to raise fuel taxes each year by more than inflation. Also, governments fear that higher energy prices would raise costs for their country’s industries, thereby damaging exports.
Second, it is difficult to measure the marginal external costs of CO2 emissions, which gives ammunition to those arguing to keep taxes low. In such cases it may be prudent, if politically possible, to set carbon taxes quite high.
Third, they should not be seen as a sufficient policy on their own, but as just part of the solution to global warming. Legislation to prevent high emissions can be another powerful tool to prevent activities that have high carbon emissions. Examples include banning high-emission vehicles; a requirement for coal-fired power stations and carbon emitting factories to install CO2 scrubbers (filters); and tougher planning regulations for factories that emit carbon. Education to encourage people to cut their own personal use of fossil fuels is another powerful means of influencing behaviour.
A cap-and-trade system, such as the European Emissions Trading Scheme would be an alternative means of cutting carbon efficiently. It involves setting quotas for emissions and allowing firms which manage to cut emissions to sell their surplus permits to less efficient firms. This puts a price pressure on firms to be more efficient. But the quotas (the ‘cap’) must be sufficiently tight if emissions are going to be cut to desired levels.
But, despite being just one possible policy, carbon taxes can make a significant contribution to combatting global warming.
- Fiscal Policies to Curb Climate Change
IMF blog, Vitor Gaspar, Paolo Mauro, Ian Parry and Catherine Pattillo (10/10/19)
- Energy bills will have to rise sharply to avoid climate crisis, says IMF
The Guardian, Larry Elliott (10/10/19)
- Huge global carbon tax hike needed in next 10 years to head off climate disaster, says IMF
Independent, Chris Mooney and Andrew Freedman (11/10/19)
- World urgently needs to quicken steps to reduce global warming – IMF
Reuters, Lindsay Dunsmuir (10/10/19)
- The Case for a Goldilocks Carbon Tax
Forbes, Roger Pielke (13/9/19)
- The world needs a massive carbon tax in just 10 years to limit climate change, IMF says
Washington Post, Chris Mooney and Andrew Freedman (10/10/19)
- People like the idea of a carbon tax – if the money is put to good use
New Scientist, Michael Le Page (18/9/19)
- The IMF thinks carbon taxes will stop the climate crisis. That’s a terrible idea.
The Guardian, Kate Aronoff (12/10/19)
- Firms ignoring climate crisis will go bankrupt, says Mark Carney
The Guardian, Damian Carrington (13/10/19)
- How central banks can tackle climate change
Financial Times, The editorial board (31/10/19)
- World Economic Forum: Climate change action needed to avoid societal ‘collapse’ says minister
The National, UAE, Anna Zacharias (3/11/19)
- Riots and trade wars: Why carbon taxes will not solve climate crisis
Recharge, Leigh Collins (31/10/19) (Part 1)
- The plethora of effective alternatives to carbon pricing
Recharge, Leigh Collins (31/10/19) (Part 2)
- Are these the real reasons why Big Oil wants a carbon tax?
Recharge, Leigh Collins (31/10/19) (Part 3)
- Do we need carbon taxes in an era of cheap renewables?
Recharge, Leigh Collins (31/10/19) (Part 4)
- How to Mitigate Climate Change
IMF Fiscal Monitor, Ian Parry (team leader), Thomas Baunsgaard, William Gbohoui, Raphael Lam, Victor Mylonas, Mehdi Raissi, Alpa Shah and Baoping Shang (October 2019)
- Draw a diagram to show how subsidies can lead to the optimum output of green energy.
- What are the political problems in introducing or raising carbon taxes? Examine possible solutions to these problems
- Choose two policies for reducing carbon emissions other than using carbon taxes? Compare their effectiveness with carbon taxes.
- How is game theory relevant to getting international agreement on cutting greenhouse gas emissions? Why is there likely to be a prisoners’ dilemma problem in reaching and sticking to such agreements? How might the problem of a prisoners’ dilemma be overcome in such circumstances?
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.
- UK’s new Brexit deal worse than continued uncertainty – NIESR
Reuters, David Milliken (30/10/19)
- Brexit deal means ‘£70bn hit to UK by 2029′
BBC News, Faisal Islam (30/10/19)
- Boris Johnson’s Brexit deal worse for economy than Theresa May’s, new analysis shows
Politics Home, Matt Honeycombe-Foster (30/10/19)
- Boris Johnson’s Brexit deal ‘would cost UK economy £70bn’
The Guardian, Richard Partington (30/10/19)
- UK economy suffers ‘slow puncture’ as general election is called
ITV News, Joel Hills (30/10/19)
- Boris Johnson’s Brexit deal ‘would deliver £70bn hit to economy by 2029’
Sky News, Ed Conway (30/10/19)
- Boris Johnson’s Brexit deal won’t cost Britain £70bn by 2029
The Spectator, Ross Clark (30/10/19)
- Boris Johnson’s Brexit deal would make people worse off than Theresa May’s
The Guardian, Anand Menon and Jonathan Portes (13/10/19)
- How Boris Johnson’s hard Brexit would hit the UK economy
Financial Times, Chris Giles (13/10/19)
- Boris Johnson’s Brexit deal is worse for the UK economy than Theresa May’s, research suggests
CNBC, Elliot Smith (19/10/19)
- What are the arguments in favour of the assumptions and analysis of the two recent reports considered in this blog?
- What are the arguments against the assumptions and analysis of the two reports?
- 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?
- 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.
- If economic forecasts turn out to be inaccurate, does this mean that economists should abandon forecasting?
There is increasing recognition that the world is facing a climate emergency. Concerns are growing about the damaging effects of global warming on weather patterns, with increasing droughts, forest fires, floods and hurricanes. Ice sheets are melting and glaciers retreating, with consequent rising sea levels. Habitats and livelihoods are being destroyed. And many of the effects seem to be occurring more rapidly than had previously been expected.
Extinction Rebellion has staged protests in many countries; the period from 20 to 27 September saw a worldwide climate strike (see also), with millions of people marching and children leaving school to protest; a Climate Action Summit took place at the United Nations, with a rousing speech by Greta Thunberg, the 16 year-old Swedish activist; the UN’s Intergovernmental Panel on Climate Change (IPCC) has just released a report with evidence showing that the melting of ice sheets and rising sea levels is more rapid than previously thought; at its annual party conference in Brighton, the Labour Party pledged that, in government, it would bring forward the UK’s target for zero net carbon emissions from 2050 to 2030.
Increasingly attention is focusing on what can be done. At first sight, it might seem as if the answer lies solely with climate scientists, environmentalists, technologists, politicians and industry. When the matter is discussed in the media, it is often the environment correspondent, the science correspondent, the political correspondent or the business correspondent who reports on developments in policy. But economics has an absolutely central role to play in both the analysis of the problem and in examining the effectiveness of alternative solutions.
One of the key things that economists do is to examine incentives and how they impact on human behaviour. Indeed, understanding the design and effectiveness of incentives is one of the 15 Threshold Concepts we identify in the Sloman books.
One of the most influential studies of the impact of climate change and means of addressing it was the study back in 2006, The Economics of Climate Change: The Stern Review, led by the economist Sir Nicholas Stern. The Review reflected economists’ arguments that climate change represents a massive failure of markets and of governments too. Firms and individuals can emit greenhouse gases into the atmosphere at no charge to themselves, even though it imposes costs on others. These external costs are possible because the atmosphere is a public good, which is free to exploit.
Part of the solution is to ‘internalise’ these externalities by imposing charges on people and firms for their emissions, such as imposing higher taxes on cars with high exhaust emissions or on coal-fired power stations. This can be done through the tax system, with ‘green’ taxes and charges. Economists study the effectiveness of these and how much they are likely to change people’s behaviour.
Another part of the solution is to subsidise green alternatives, such as solar and wind power, that provide positive environmental externalities. But again, just how responsive will demand be? This again is something that economists study.
Of course, changing human behaviour is not just about raising the prices of activities that create negative environmental externalities and lowering the prices of those that create positive ones. Part of the solution lies in education to make people aware of the environmental impacts of their activities and what can be done about it. The problem here is that there is a lack of information – a classic market failure. Making people aware of the consequences of their actions can play a key part in the economic decisions they make. Economists study the extent that imperfect information distorts decision making and how informed decision making can improve outcomes.
Another part of the solution may be direct government investment in green technologies or the use of legislation to prevent or restrict activities that contribute to global warming. But in each case, economists are well placed to examine the efficacy and the costs and benefits of alternative policies. Economists have the tools to make cost–benefit appraisals.
Economists also study the motivations of people and how they affect their decisions, including decisions about whether or not to take part in activities with high emissions, such air travel, and decisions on ‘green’ activities, such as eating less meat and more vegetables.
If you are starting out on an economics degree, you will soon see that economists are at the centre of the analysis of some of the biggest issues of the day, such as climate change and the environment generally, inequality and poverty, working conditions, the work–life balance, the price of accommodation, the effects of populism and the retreat from global responsibility and, in the UK especially, the effects of Brexit, of whatever form.
- Explain what is meant by environmental externalities.
- Compare the relative merits of carbon taxes and legislation as means of reducing carbon emissions.
- If there is a climate emergency, why are most governments unwilling to take the necessary measures to make their countries net carbon neutral within the next few years?
- In what ways would you suggest incentivising (a) individuals and (b) firms to reduce carbon emissions? Explain your reasoning.
- For what reasons are the burdens of climate changed shared unequally between people across the globe?