Category: Economics 10e: Ch 05

The linked article below, by Evan Davis, assesses the state of economics. He argues that economics has had some major successes over the years in providing a framework for understanding how economies function and how to increase incomes and well-being more generally.

Over the last few decades, economists have …had an influence over every aspect of our lives. …And during this era in which economists have reigned, the world has notched up some marked successes. The reduction in the proportion of human beings living in abject poverty over the last thirty years has been extraordinary.

With the development of concepts such as opportunity cost, the prisoners’ dilemma, comparative advantage and the paradox of thrift, economics has helped to shape the way policymakers perceive economic issues and policies.

These concepts are ‘threshold concepts’. Understanding and being able to relate and apply these core economic concepts helps you to ‘think like an economist’ and to relate the different parts of the subject to each other. Both Economics (10th edition) and Essentials of Economics (8th edition) examine 15 of these threshold concepts. Each time a threshold concept is used in the text, a ‘TC’ icon appears in the margin with the appropriate number. By locating them in this way, you can see their use in a variety of contexts.

But despite the insights provided by traditional economics into the various problems that society faces, the discipline of economics has faced criticism, especially since the financial crisis, which most economists did not foresee.

Even Davis identifies two major shortcomings of the discipline – both beginning with ‘C’. ‘One is complexity, the other is community.’

In terms of complexity, the criticism is that economic models are often based on simplistic assumptions, such as ‘rational maximising behaviour’. This might make it easier to express the models mathematically, but mathematical elegance does not necessarily translate into predictive accuracy. Such models do not capture the ‘messiness’ of the real world.

These models have a certain theoretical elegance but there is now an increasing sense that economies do not evolve along a well-defined mathematical path, but in a far more messy way. The individual players within the economy face radical uncertainty; they adapt and learn as they go; they watch what everybody else does. The economy stumbles along in a process of slow discovery, full of feedback loops.

As far as ‘community’ is concerned, people do not just act as self-interested individuals. Their actions are often governed by how other people behave and also by how their own actions will affect other people, such as family, friends, colleagues or society more generally.

And the same applies to firms. They will be influenced by various other firms, such as competitors, trend setters and suppliers and also by a range of stakeholders – not just shareholders, but also workers, customers, local communities, etc. A firm’s aim is thus unlikely to be simple short-term profit maximisation.

And this broader set of interests translates into policy. The neoliberal free-market, laissez-faire approach to policy is challenged by the desire to take account of broader questions of equity, community and social justice. However privately efficient a free market is, it does not take account of the full social and environmental costs and benefits of firms’ and consumers’ actions or a fair distribution of income and wealth.

It would be wrong, however, to say that economics has not responded to these complexities and concerns. The analysis of externalities, income distribution, incentives, herd behaviour, uncertainty, speculation, cumulative causation and institutional values and biases are increasingly embedded in the economics curriculum and in economic research. What is more, behavioural economics is becoming increasingly mainstream in examining the behaviour of consumers, workers, firms and government. We have tried to reflect these developments in successive editions of our four textbooks.

Article

Questions

  1. Write a brief defence of traditional economic analysis (i.e. that based on the assumption of ‘rational economic behaviour’).
  2. What are the shortcomings of traditional economic analysis?
  3. What is meant by ‘behavioural economics’ and how does it address the concerns raised in Evan Davis’ article?
  4. How is herd behaviour relevant to explaining macroeconomic fluctuations?
  5. Identify various stakeholder groups of an energy company. What influence are they likely to have on the company’s behaviour?
  6. In an era of social media, web-based information and e-commerce, why might it be necessary to rethink the concept of GDP and its measurement?
  7. What is meant by an efficient stock market? Why may the stock market not be efficient?

Spring has already made its appearance here in Norfolk. Our garden is in full bloom and I am in a particularly spring-philosophical mood today – especially so as I should soon be hearing news from the editorial office of a coveted economics journal. This concerns a paper that I submitted for publication what feels like months ago.

And just as I was reflecting on this thought, a paper by Firmuc and Paphawasit (2018) landed on my desk, evaluating the impact of physical attractiveness on academic research productivity in the field of economics. More specifically, the authors pull together information about the research productivity of about 2000 published economics researchers. They then find photos of them and rate their attractiveness (yes, seriously!) using an online survey. In particular:

Besides collecting some basic information on the authors, we also rated their attractiveness. To this effect, we circulated a number of online survey links to potential participants at Brunel University and elsewhere, using direct communication, email and social networks. Each online survey collected basic background information on the assessor (gender, age, ethnicity, highest education, and whether they are currently enrolled as a student) followed by 30 randomly-chosen and randomly-ordered photos, with each picture placed on a separate page.

…Each rater was asked to rate the attractiveness of the person in the photo on an 11-point scale, from 0 (unattractive) to 10 (very attractive). No information on the photographed individuals was provided and the raters were told that the survey studies the formation of perceptions of beauty. The raters were also asked whether they recognised the person in the picture, or whether the picture did not load properly: in such instances, their scores were excluded from the analysis.

The average beauty score was 3.9, with the most attractive academic scoring 7.6

They even attach photographs of the three most attractive male authors in their sample in an appendix (thankfully the other end of the distribution was left out – I had to check to make sure, as I was worried for a few minutes I would find my photo posted there!).

Their results show that there is a link between authors’ attractiveness and quality of journals where their papers are published, as well as number of citations that they receive. According to their findings, this association matters most for more productive authors (‘of intermediate and high productivity’), whereas there seems to be very small or no effect for less productive authors. Some of these effects disappear once controlling for journal quality:

…attractive authors tend to publish their research in better journals, but once their work is published, it does not attract more citations than other papers published in the same journal by less good-looking authors.

Although there are many methodological parts of this paper that I do not quite understand (probably because it is not my area of specialisation), it does remind us that looks do matter in labour markets. There is a well-established literature in labour economics discussing the association between appearance/beauty and wages and the so-called ‘halo effect’ (referring to the physical attractiveness premium that more attractive workers are likely to command in labour markets – see also Langlois et al., 2000; Zebrowitz et al., 2002; Kanazawa and Kovar, 2004; for a detailed discussion on this).

I was also surprised to read that this beauty bias can be also gender specific. For instance, Cash et al (1977) and Johnson et al. (2010) find that the effect goes the other way (negative impact) when considering female candidates applying for jobs traditionally perceived as ‘masculine’ ones. By contrast, male candidates are more likely to experience a positive return on good looks, irrespective of the type of job that they do (see also Johnson et al., 2010).

No surprise then that ‘guyliners’, ‘make up for men’ and other male beauty products are becoming increasingly popular amongst younger workers – in Europe it is not as common yet as it is in parts of Asia (Japan comes to mind), but I imagine it is a matter of time, as more workers realise that there are positive returns to be made!

References

Article

Questions

  1. Read some of the papers posted above and explain the main argument about the link between physical attraction and wages. What does the empirical evidence show on this?
  2. Using examples and anecdotal evidence, do you agree with these findings?
  3. If these findings are representative of the real world, what do they suggest about the functioning of modern labour markets?

When making a decision, what happens if you do nothing: i.e. take no action? The answer is the default option. There is evidence that changing the default option for the same decision can sometimes have a big impact on the final choices people make. For example, when a person starts a new job, they often have to decide whether to contribute to the company’s pension scheme. The default option is typically for employees not to contribute. They have to do something actively (e.g. fill in an online form) to opt in to the scheme. An alternative is to change the default option so that employees are contributing to the pension. They now have to do something to opt out of the scheme.

Changing the default should have no impact on people who behave in ways that are consistent with the rational choice model in economics. However, research by Madrian and Shea (2001) found that it had a big effect. When employees had to opt-in, 49 per cent enrolled in a company pension. When they had to opt out, the figure increased to 86 per cent.

Other research suggests that defaults can influence the likelihood of getting a flu jab, making healthier food choices, receiving e-mail marketing and choosing certain types of car insurance.

Organ donation

One policy area where the choice of default has become a topical issue is organ donation. In 2017, over 400 people died in the UK because it was impossible to find an appropriate donor. Could changing the default increase the number of donors?

The scheme that operates in England requires people to sign-up to the organ donor register: i.e. they have to opt in. Although 80 per cent of the public support organ donation less than 50 per cent ever get around to signing this register.

Parliament recently approved the Organ Donation Bill and the new law will come into effect in 2020. The default position will change so that people are automatically signed-up for organ donation. If they do not want to donate their organs, they will have to opt out of the register.

In December 2015, the devolved Welsh government introduced a similar scheme. Although it is quite early to give a full assessment of the policy, its impact has been smaller than many people had hoped.

Why have the initial results been disappointing? One potential downside with an opt-out scheme is that it may create greater uncertainty about someone’s true wishes. With an opt-in scheme, a relative takes a deliberate action to indicate their preference to be an organ donor. In England, approximately 10 per cent of families overrule the wishes of a relative who has actively signed the register.

With an opt-out scheme, family members may worry that their relative did not want to donate their organs but never found the time to take their name off the register. In 2017/18, families in Wales overruled the presumed consent of their relatives in 33 per cent of cases.

Some countries, such as Singapore and Austria, operate a ‘hard opt-out’ policy. In these schemes, families cannot overrule and this leads to high organ donor rates. However, this type of policy is unpopular with large sections of the electorate who feel it is over paternalistic.

Forcing people to make a choice

Is it possible to force people to make a choice and so reveal their preferences to others? This is a policy of active choice. For example, the government could make the issuing of a driving licence conditional on a people making a choice about whether or not to sign the organ donor register.

This type of policy has been trialled in the USA with the take up of home delivered prescriptions. For the majority of people, there are clear advantages of choosing to have home delivered prescriptions rather than visiting a pharmacy – it is both cheaper and involves less time/hassle. However, the default option is to visit a pharmacy and one study found that only 6 per cent of people chose home delivered options. With the introduction of active choice, this figure increased to 42 per cent.

Some have argued that it is socially undesirable to force people to make a choice. An alternative is simplified active choice – people can either make a choice or accept the default option.

Articles

Questions

  1. Explain why changing the default option should have no impact on people who behave in ways that are consistent with the rational choice model in economics.
  2. What is present bias? How does it differ from simple impatience? Explain how present bias might help to explain the impact of changing the default option.
  3. What is loss aversion? How does it differ from diminishing marginal utility? Explain how loss aversion might help to explain the impact of changing the default option.
  4. What are some of the limitations of using defaults in policy-making?
  5. Is active choice less paternalistic than changing the default option?
  6. Think of some reasons why someone may not want to make a choice.

One of the key developments in economics in recent years has been the growing influence of behavioural economics. We considered some of the insights of behavioural economics in a blog in 2016 (A nudge in the right direction?). As the post stated, ‘Behavioural economists study how people’s buying, selling and other behaviour responds to various incentives and social situations. They don’t accept the simplistic notion that people are always rational maximisers.’ The post quoted from a Livemint article (see first linked article below):

According to behavioural economists, the human brain neither has the time nor the ability to process all the information involved in decision making, as assumed by the rational model.

Instead, people use heuristics. A heuristic technique is any approach to problem-solving, such as deciding what to buy, which is practical and sufficient for the purpose, but not necessarily optimal. For example, people may resort to making the best guess, or to drawing on past experiences of similar choices that turned out to be good or bad. On other accasions, when people are likely to face similar choices in the future, they resort to trial and error. They try a product. If they like it, they buy it again; if not, they don’t.

On other occasions, they may use various rules of thumb: buying what their friends do, or buying products on offer or buying trusted brands. These rules of thumb can lead to estimates that are reasonably close to the utility people will actually get and can save on time and effort. However, they sometimes lead to systematic and predictable misjudgements about the likelihood of certain events occurring.

In traditional models of consumer choice, individuals aim to maximise their utility when choosing between goods, or bundles of goods. The context in which the choices are offered is not considered.

Yet, in real life, we see that context is important; people will often make different choices when they are presented, or framed, in different ways. For example, people will buy more of a good when it is flagged up as a special offer than they would if there is no mention of an offer, even though the price is the same.

The recognition that framing is important to choices has led to the development of nudge theory. Indeed, it underpins many marketing techniques. These seek to persuade people to make a particular choice by framing it in an optimistic way or presenting it in a way that makes it easy to decide.

Governments too use nudge theory. In the UK, the Coalition government (2010–15) established the Behavioural Insights Team (BIT) (also unofficially known as the Nudge Unit) in the Cabinet Office in 2010. A major objective of this team is to use ideas from behavioural economics to design policies that enable people to make better choices for themselves.

The podcast linked below, looks at the use of nudge theory. The presenter, Mary Ann Sieghart looks at how we are being encouraged to change our behaviour. She also looks at the work of UCL’s Love Lab which researches the way we make decisions. As the programme notes state:

Mary Ann is grilled in UCL’s Love Lab to find out how she makes decisions; she finds taking the pound signs off the menu in a restaurant encourages her spend more and adding adjectives to the food really makes it taste better.

Walking through the Nudge Unit, she hears how powerful a tiny tweak on a form or text can get be, from getting people back to work to creating a more diverse police force. Popular with the political left and right, it has been embraced around the world; from Guatemala to Rwanda, Singapore to India it is used to reduce energy consumption, encourage organ donation, combat corruption and even stop civil wars.

But the podcast also looks at some of the darker sides of nudging. Just as we can be nudged into doing things in our interests, so too we can be nudged to do things that are not so. Politicians and businesses may seek to manipulate people to get them to behave in ways that suit the government or the business, rather than the electorate or the consumer. The dark arts of persuasion are also something that behavioural economists study.

The articles below explore some of the areas where nudge theory is used to devise policy to influence our behaviour – for good or bad.

Podcast

Video

Articles

Questions

  1. Explain what are meant by ‘bounded rationality’ and ‘heuristics’.
  2. How may populist politicians use nudge theory in their campaigning?
  3. Give some examples from your own behaviour of decisions made using rules of thumb.
  4. Should we abandon models based on the assumption of rational maximising behaviour (e.g. attempts to maximise consumer surplus or to maximise profit)?
  5. Find out some other examples of how people might be nudged to behave in ways that are in their own interest or that of society.
  6. How might we be nudged into using less plastic?
  7. How might people be nudged to eat more healthily or to give up smoking?
  8. To what extent can financial incentives, such as taxes, fines, grants or subsidies be regarded as nudging? Explain.
  9. Would you advise all GP surgeries and hospital outpatient departments to text reminders to people about appointments? What should such reminders say? Explain.

When did you last think about buying a new car? If not recently, then you may be in for a surprise next time you shop around for car deals. First, you will realise that the range of hybrid cars (i.e. cars that combine conventional combustion and electric engines) has widened significantly. The days when you only had a choice of Toyota Prius and another two or three hybrids are long gone! A quick search on the web returned 10 different models (although five of them belong to the Toyota Prius family), including Chevrolet Malibu, VW Jetta and Ford Fusion. And these are only the cars that are currently available in the UK market.

But the biggest surprise of all may be the number of purely (plug-) electric cars that are available to UK buyers these days. The table below provides a summary of total registrations of light-duty plug-electric cars by model in the UK, between 2010 and June 2016.

Registration of light-duty highway legal plug-electric cars by model in the UK between 2010 and June 2016

Model

Total registered at the end of(1)

Registrations by year between 2010 and December 2013

2Q 2016

2015

2014

2013

2012

2011

2010

Mitsubishi Outlander P-HEV

21 708

16 100

5 273

 

 

 

 

Nissan Leaf

12 837

11 219

6 838

1 812

699

635

 

BMW i3

4 457

3 574

1 534

NA

 

 

 

Renault Zoe

4 339

3 327

1 356

378

 

 

 

Mercedes-Benz C350 e

3 337

628

0

 

 

 

 

Tesla Model S

3 312

2 087

698

 

 

 

 

Volkswagen Golf GTE

2 657

1 359

0

 

 

 

 

Toyota Prius PHV

1 655

1 580

1 324

509

470

 

 

Audi A3 e-tron

1 634

1 218

66

 

 

 

 

Nissan e-NV200

1 487

1 047

399

 

 

 

 

BMW 330e iPerformance

1 479

 

 

 

 

 

 

BMW i8

1 307

1 022

279

 

 

 

 

Vauxhall Ampera

1 267

1 272

1 169

175

455

4

 

Volvo XC90 T8

813

38

 

 

 

 

 

Renault Kangoo Z.E

785

740

663

 

 

 

 

Porsche Panamera S E-Hybrid

475

395

241

 

 

 

 

Volvo V60 Plug-in Hybrid

410

337

232

 

 

 

 

Peugeot iOn

405

374

368

26(2)

251

124

 

Mercedes-Benz B-Class Electric Drive

303

162

0

 

 

 

 

Mitsubishi i MiEV

252

251

266

1(2)

107

125

27

Smart electric drive

215

212

205

3(2)

13

 

63

Citroën C-Zero

213

167

202

45(2)

110

46

 

Kia Soul EV

193

145

20

 

 

 

 

BMW 225xe

163

 

 

 

 

 

 

Volkswagen e-Up!

154

142

118

 

 

 

 

Mercedes-Benz S500 PHEV

125

157

14

 

 

 

 

Volkswagen e-Golf

123

114

47

 

 

 

 

Chevrolet Volt

119

122

124

23(2)

67

 

 

Renault Fluence Z.E.

79

70

73

7(2)

67

 

 

Ford Focus Electric

22

19

19

 

 

 

 

Mercedes-Benz Vito E-Cell

22

23

23

 

 

 

 

Mia electric

15

15

14

 

 

 

 

Volkswagen Passat GTE

1

 

 

 

 

 

 

BYD e6

0

0

0

50(2)

 

 

 

Total registrations

66 374

47 920

21 504

3 586

2 254

1 082

138

Notes: NA: not available. Registrations figures seldom correspond to same sales figure.

(1) Registrations at the end of a period are cumulative figures. (2) CYTD through June 2013.

Source: Wikipedia, “Plug-in electric vehicles in the United Kingdom”

In 2010 there were nly 138 electric vehicles in total registered in the UK. They were indeed an unusual sight at that time – and good luck to you if you had one and you happened to run out of power in the middle of a journey. In 2011 this (small) number increased sevenfold – an increase that was driven mostly by the successful introduction of Nissan Leaf (635 electric Nissans were registered in the UK that year). And since then the number of electric vehicles registered in the country has increased with spectacular speed, at an average rate of 252% per year.

There is clearly strong interest in electric vehicles – an interest likely to increase as their price becomes more competitive. However, they are still very expensive items to buy, especially when compared with their conventional fuel-engine counterparts. What makes electric cars expensive? One thing is the cost of purchasing and maintaining a battery that can deliver a reasonable range. But the cost of batteries is falling, as more and more companies realise the potential of this new market and join the R&D race. As mentioned in a special report that was published recently in the FT:

The cost of lithium-ion batteries has fallen by 75 per cent over the past eight years, measured per kilowatt hour of output. Every time battery production doubles, costs fall by another 5 per cent to 8 per cent, according to analysts at Wood Mackenzie.

There is no doubt that more research will result in more efficient batteries, and will increase the interest in electric cars not only by consumers but also by producers, who already see the opportunity of this new global market. Does this mean that prices will necessarily fall further? You might think so, but then you have to take into consideration the availability and cost of mining further raw materials to make these batteries (such as cobalt, which is one of the materials used in the making of lithium-ion batteries and nearly half of which is currently sourced from the Democratic Republic of Congo). This may lead to bottlenecks in the production of new battery units. In which case, the price of batteries (and, by extension, the price of electric cars) may not fall much further until some new innovation happens that changes either the material or its efficiency.

The good news is that a lot of researchers are currently looking into these questions, and innovation will do what it always does: give solutions to problems that previously appeared insurmountable. They had better be fast because, according to estimates by Wood Mackenzie, the number of electric vehicles globally is expected to rise by over 50 times – from 2 million (in 2017) to over 125 million by 2035.

How many economists does it take to charge an electric car? I guess we are going to find out!

Articles

Information

Questions

  1. Using a demand and supply diagram, explain the relationship between the price of a battery and the market (equilibrium) price of a plug-in electric vehicle.
  2. List all non-price factors that influence demand for plug-in electric vehicles. Briefly explain each.
  3. Should the government subsidise the development and production of electric car batteries? Explain the advantages and disadvantages of such intervention and take a position.