Category: Economics for Business: Ch 06

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The economics of fake reviews

Imagine a situation where you are thinking of buying a good and so you go to an e-commerce marketplace such as Amazon, eBay, Etsy or Onbuy. How confident are you about the quality of the different brands/makes that are listed for sale on these digital platforms? How do you choose which product to buy? Is the decision strongly influenced by customer reviews and rating?

When a customer is choosing what to buy it raises an interesting question: to what extent can the true quality of the different goods/services be observed at the time of purchase? Although perfect observability is highly unlikely, the level of consumer information about a product’s true quality will vary between different types of transaction.

For example, when consumers can physically inspect and test/try a product in a shop, it can help them to make more accurate judgements about its quality and condition. This poses a problem for online sellers of high-quality versions of a good. Without the ability to inspect the item physically, consumers may be unsure about its characteristics. They may worry that the online description provided by the seller deliberately misrepresents the true quality of the item.

Consumers may have other concerns about the general reliability of online sellers. For example, in comparison to buying the product from a physical store, consumers may worry that:

  • They will have to wait longer to receive the good. In many cases, when consumers purchase a product from a high-street store, they can walk away with the item and start using it straight away. When purchasing on line, they may end up waiting weeks or even longer before the product is finally delivered.
  • It will be more difficult to return the product and get a refund.
  • They are more likely to come across fraudulent sellers who have set-up a fake website.

This greater level of uncertainty about the true characteristics of the product and the general reliability of the seller will have a negative impact on consumers’ willingness to pay for all goods. This impact is likely to be particularly strong for high-quality versions of a product. If consumers’ willingness to pay falls below the reservation price of many sellers of high-quality goods, then the market could suffer from adverse selection and market failure.

Are there any within-market arrangements that could help deal with this issue? One possibility is for sellers to signal the quality of their products by posting consumer ratings and reviews. If consumers see that a product has many positive ratings, then this will increase their confidence in the quality of the product and so increase their willingness to pay. This could then reduce both levels of asymmetric information and the chances of adverse selection occurring in the market,

There is survey evidence that many people do read consumer reviews when choosing products on line and are heavily influenced by the ratings.

The problem of fake reviews

However, when consumers look at these reviews can they be sure that they reflect consumers’ honest opinions and/or actual experience of using the good or service? Firms may have an incentive to manipulate and post fake reviews. For example, they could:

  • Deliberately fail to display negative reviews on their website while claiming that all reviews are published.
  • Use internet bots to post thousands of automated reviews.
  • Take positive reviews from competitors’ websites and post them on their own website.
  • Pay some customers and/or employees to write and post 5-star reviews on their own website.
  • Pay some customers and/or employees to write and post 1-star reviews on their competitors’ websites.
  • Set up a website that they claim is independent and use it to provide positive endorsements of their own products.

If the benefits of this type of behaviour outweigh the costs, then we would expect to see fake reviews posted on websites. If their use becomes widespread, then the value of posting genuine reviews will fall. The market may then settle into what economists call a ‘pooling equilibrium’.

What evidence do we have on the posting of fake reviews? Given their nature, it is difficult to collect reliable data and there are large variations in the reported figures. One recent study found evidence of fake reviews being purchased and posted for approximately 1500 products on Amazon.

Can consumers screen reviews and identify those that are more likely to be fake? The following are some tell-tale signs.

  • Products that receive a large number of very positive reviews over a short period (i.e. a few days). There are then long periods before the product receives another large number of positive reviews.
  • A high percentage of 5-star reviews. Two, three and four start reviews are more likely to be genuine.
  • Reviews that specifically mention a rival firm’s products.
  • Reviewers who have given very high ratings to large number of different products over a short period of time.
  • Reviews that include photos/videos.

Competition authorities around the world have been investigating the issue and the Competition and Markets Authority has announced plans to introduce new laws that make the purchasing and posting of fake reviews illegal.

Articles

Questions

  1. Outline different types of asymmetric information and explain the difference between adverse selection and moral hazard.
  2. Using a diagram, explain the impact of uncertainty over the quality of a good on consumers’ willingness to pay.
  3. Will consumers always face greater uncertainty over quality when purchasing goods on line rather than visiting the high street? Discuss your answer making reference to some specific examples.
  4. Using diagrams, explain how a market for high-quality versions of a good might collapse if there is asymmetric information. Using price elasticity of supply, explain the circumstances when the market is more likely to collapse.
  5. Discuss some of the benefits and costs for a firm of purchasing and posting fake reviews.
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Black Friday vs the Rational Consumer

When building supply and demand models, the assumption is usually made that both producers and consumers act in a ‘rational’ way to achieve the best possible outcomes. As far as producers are concerned, this would mean attempting to maximise profit. As far as consumers are concerned, it would mean attempting to achieve the highest satisfaction (utility) from their limited budget. This involves a cost–benefit calculation, where people weigh up the costs and benefits of allocating their money between different goods and services.

For consumers to act rationally, the following assumptions are made:

  • Consumer choices are made independently. Their individual choices and preferences are not influenced by other people’s, nor do their choices and preferences impact on other people’s choices.
  • The consumer’s preferences are consistent and fixed.
  • Consumers have full information about the products available and alternatives to them.
  • Given the information they have and the preferences they hold, consumers will then make an optimal choice.

Black Friday can be seen as a perfect occasion for consumers to get their hands on a bargain. It is an opportunity to fulfil a rational need, for example if you were needing to replace a household appliance but were waiting until there was a good deal before committing to a purchase.

The assumption that people act rationally has been at the forefront of economic theory for decades. However, this has been questioned by the rise in behavioural economics. Rather than assuming that all individuals are ‘rational maximisers’ and conduct a cost–benefit analysis for every decision, behavioural economists mix psychology with economics by focusing on the human. As humans, we do not always behave rationally but, instead, we act under bounded rationality.

As economic agents, we make different decisions depending on our emotional state that differ from the ‘rational choice’ assumption. We are also influenced by our social networks and often make choices that provide us with immediate gratification. Given this, Black Friday can also be viewed as a great opportunity to fall prey to irrational and emotional shopping behaviours.

Black Friday originated in the USA and is the day after Thanksgiving. During this annual shopping holiday, retailers typically offer steep discounts to kick off the holiday season. The Black Friday shopping phenomenon is less than a decade old in the UK but it’s now an established part of the pre-Christmas retail calendar. Between 2010 and 2013, Black Friday gradually built up momentum in the UK. In 2014, Black Friday became the peak pre-Christmas online sales day and many online retailers haven’t looked back.

Arguably, from a behavioural economist’s perspective, the big problem with Black Friday is that all the reasons consumers possibly have to partake can be largely illusory. Consumers are bombarded with the promise of one-off deals, large discounts, scarce products, and an opportunity to get their holiday shopping done all at once. However, on Black Friday, our rational decision-making faculties are tested, just as stores are trying their hardest to maximise consumers’ mistakes.

There are many ‘behavioural traps’ that consumers often fall into. The following two are most likely to occur on Black Friday:

  • Scarcity and loss aversion. Shoppers may fear that they will miss out on the best sales deals available if they don’t buy it now. Retailers commonly spark consumers’ interest by highlighting limited stocks available for a limited time only, which raises the perceived value of these goods. This sense of scarcity can further trigger the need to buy now, increasing the ‘Fear of Missing Out’. Consumers therefore need to ask themselves if they are really missing out if they don’t buy it now? And is the discount worth spending the money today, or is there something else I should be spending it on or saving for?
  • Sunk cost fallacy. Once consumers have started to invest, they often struggle to close out investments that prove unprofitable. On Black Friday, customers have already made the initial investment of getting up early, driving to the shops, finding parking and waiting in a queue, before they have purchased anything. Therefore, they will be inclined to buy more than they initially went for. It is important therefore to think about each purchase in isolation.

This year, however, there is also the added complication of the rising cost of living. Whilst this may deter some consumers from unnecessary, impulse purchases, some consumers are using Black Friday as an opportunity to stock up on expected future purchases, hedging against likely price rises over the coming months.

It is thought that more consumers will be looking for a combination of high quality but low price to make sure their purchases are affordable and can last for a long time. According to PwC, many consumers have closely monitored their favourite brands in anticipation that big-ticket electronics, more pricey winter wear or Christmas stocking fillers will be discounted. Consumers are also in search of bargains more than ever given rising inflation. This would suggest a shift in attitude, meaning consumers will be more aware of what they cannot afford rather than giving in to emotional temptation brought on by Black Friday.

Retailers are fully aware of the cognitive biases that surround Black Friday and take full advantage of them. ‘Cyber Monday’ follows right after Black Friday, giving retailers an extra opportunity for them to keep those ‘urgent’ or ‘unmissable’ sales going and increase their revenues.

Black Friday is one of the biggest shopping days of the year. However, the way retailers approach it is growing increasingly mixed. Stores such as Amazon, Argos, Currys and John Lewis have started offering Black Friday deals much earlier in the month, leading some to refer to the event as ‘Black November’. Other stores, such as M&S and Next, didn’t take part at all this year.

Ultimately, Consumers can use insights from behavioural economics to empower them to make more rational decisions in such circumstances: ones that better align with their individual budgets. Nevertheless, the Black Friday sales mania can trigger our deepest emotional and cognitive responses that lead to unnecessary spending.

Articles

Video

Questions

  1. Discuss what is meant by the term ‘rational consumer’. Is it a useful generalisation about the way consumers behave?
  2. Discuss what is meant by the term ‘rational producer’. Is it a useful generalisation about the way firms behave?
  3. What is cost–benefit analysis? What is the procedure used in conducting a cost–benefit analysis?
  4. In addition to scarcity and loss aversion and the sunk cost fallacy, are there any other reasons why consumers may not always act rationally?
  5. Are people likely to be more ‘rational’ about online Black Friday purchases than in-store ones? Explain.
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Stopping the Game? Big traders vs. the swarm

Bubbles

Speculation in markets can lead to wild swings in prices as exuberance drives up prices and
pessimism leads to price crashes. When the rise in price exceeds underlying fundamentals, such as profit, the result is a bubble. And bubbles burst.

There have been many examples of bubbles throughout history. One of the most famous is that of tulips in the 17th century. As Box 2.4 in Essential Economics for Business (6th edition) explains:

Between November 1636 and February 1637, there was a 20-fold increase in the price of tulip bulbs, such that a skilled worker’s annual salary would not even cover the price of one bulb. Some were even worth more than a luxury home! But, only three months later, their price had fallen by 99 per cent. Some traders refused to pay the high price and others began to sell their tulips. Prices began falling. This dampened demand (as tulips were seen to be a poor investment) and encouraged more people to sell their tulips. Soon the price was in freefall, with everyone selling. The bubble had burst .

Another example was the South Sea Bubble of 1720. Here, shares in the South Sea Company, given a monopoly by the British government to trade with South America, increased by 900% before collapsing through a lack of trade.

Another, more recent, example is that of Poseidon. This was an Australian nickel mining company which announced in September 1969 that it had discovered a large seam of nickel at Mount Windarra, WA. What followed was a bubble. The share price rose from $0.80 in mid-1969 to a peak of $280 in February 1970 and then crashed to just a few dollars.

Other examples are the Dotcom bubble of the 1990s, the US housing bubble of the mid-2000s and BitCoin, which has seen more than one bubble.

Bubbles always burst eventually. If you buy at a low price and sell at the peak, you can make a lot of money. But many will get their fingers burnt. Those who come late into the market may pay a high price and, if they are slow to sell, can then make a large loss.

GameStop shares – an unlikely candidate for a bubble

The most recent example of a bubble is GameStop. This is a chain of shops in the USA selling games, consoles and other electronic items. During the pandemic it has struggled, as games consumers have turned to online sellers of consoles and online games. It has been forced to close a number of stores. In July 2020, its share price was around $4. With the general recovery in stock markets, this drifted upwards to just under $20 by 12 January 2021.

Then the bubble began.

Hedge fund shorting

Believing that the GameStop shares were now overvalued and likely to fall, many hedge funds started shorting the shares. Shorting (or ‘short selling’) is where investors borrow shares for a fee and immediately sell them on at the current price, agreeing to return them to the lender on a specified day in the near future (the ‘expiration date’). But as the investors have sold the shares they borrowed, they must now buy them at the current price on or before the expiration date so they can return them to the lenders. If the price falls between the two dates, the investors will gain. For example, if you borrow shares and immediately sell them at a current price of £5 and then by the expiration date the price has fallen to $2 and you buy them back at that price to return them to the lender, you make a £3 profit.

But this is a risky strategy. If the price rises between the two dates, investors will lose – as events were to prove.

The swarm of small investors

Enter the ‘armchair investor’. During lockdown, small-scale amateur investing in shares has become a popular activity, with people seeking to make easy gains from the comfort of their own homes. This has been facilitated by online trading platforms such as Robinhood and Trading212. These are easy and cheap, or even free, to use.

What is more, many users of these sites were also collaborating on social media platforms, such as Reddit. They were encouraging each other to buy shares in GameStop and some other companies. In fact, many of these small investors were seeing it as a battle with large-scale institutional investors, such as hedge funds – a David vs. Goliath battle.

With swarms of small investors buying GameStop, its share price surged. From $20 on 12 January, it doubled in price within two days and had reached $77 by 25 January. The frenzy on Reddit then really gathered pace. The share price peaked at $468 early on 28 January. It then fell to $126 less than two hours later, only to rise again to $354 at the beginning of the next day.

Many large investors who had shorted GameStop shares made big losses. Analytics firm Ortex estimated that hedge funds lost a total of $12.5 billion in January. Many small investors, however, who bought early and sold at the peak made huge gains. Other small investors who got the timing wrong made large losses.

And it was not just GameStop. Social media were buzzing with suggestions about buying shares in other poorly performing companies that large-scale institutional investors were shorting. Another target was silver and silver mines. At one point, silver prices rose by more than 10% on 1 February. However, money invested in silver is huge relative to GameStop and hence small investors were unlikely to shift prices by anything like as much as GameStop shares.

Amidst this turmoil, the US Securities and Exchange Commission (SEC) issued a statement on 29 January. It warned that it was working closely with other regulators and the US stock exchange ‘to ensure that regulated entities uphold their obligations to protect investors and to identify and pursue potential wrongdoing’. It remains to be seen, however, what it can do to curb the concerted activities of small investors. Perhaps, only the experience of bubbles bursting and the severe losses that can result will make small investors think twice about backing failing companies. Some Davids may beat Goliath; others will be defeated.

Articles

Data

Questions

  1. Distinguish between stabilising and destabilising speculation.
  2. Use a demand and supply diagram to illustrate destabilising speculation.
  3. Explain how short selling contributed to the financial crisis of 2007/8 (see Box 2.7 in Economics (10th edition) or Box 3.4 in Essentials of Economics (8th edition)).
  4. Why won’t shares such as GameStop go on rising rapidly in price for ever? What limits the rise?
  5. Find out some other shares that have been trending among small investors. Why were these specific shares targeted?
  6. How has quantitative easing impacted on stock markets? What might be the effect of a winding down of QE or even the use of quantitative tightening?
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Why is UK productivity growth so low?

Since the financial crisis of 2008–9, the UK has experienced the lowest growth in productivity for the past 250 years. This is the conclusion of a recent paper published in the National Institute Economics Review. Titled, Is the UK Productivity Slowdown Unprecedented, the authors, Nicholas Crafts of the University of Sussex and Terence C Mills of Loughborough University, argue that ‘the current productivity slowdown has resulted in productivity being 19.7 per cent below the pre-2008 trend path in 2018. This is nearly double the previous worst productivity shortfall ten years after the start of a downturn.’

According to ONS figures, productivity (output per hour worked) peaked in 2007 Q4. It did not regain this level until 2011 Q1 and by 2019 Q3 was still only 2.4% above the 2007 Q4 level. This represents an average annual growth rate over the period of just 0.28%. By contrast, the average annual growth rate of productivity for the 35 years prior to 2007 was 2.30%.

The chart illustrates this and shows the productivity gap, which is the amount by which output per hour is below trend output per hour from 1971 to 2007. By 2019 Q3 this gap was 27.5%. (Click here for a PowerPoint of the chart.) Clearly, this lack of growth in productivity over the past 12 years has severe implications for living standards. Labour productivity is a key determinant of potential GDP, which, in turn, is the major limiter of actual GDP.

Crafts and Mills explore the reasons for this dramatic slowdown in productivity. They identify three primary reasons.

The first is a slowdown in the impact of developments in ICT on productivity. The office and production revolutions that developments in computing and its uses had brought about have now become universal. New developments in ICT are now largely in terms of greater speed of computing and greater sophistication of software. Perhaps with an acceleration in the development of artificial intelligence and robotics, productivity growth may well increase in the relatively near future (see third article below).

The second cause is the prolonged impact of the banking crisis, with banks more cautious about lending and firms more cautious about borrowing for investment. What is more, the decline in investment directly impacts on potential output, and layoffs or restructuring can leave people with redundant skills. There is a hysteresis effect.

The third cause identified by Crafts and Mills is Brexit. Brexit and the uncertainty surrounding it has resulted in a decline in investment and ‘a diversion of top-management time towards Brexit planning and a relative shrinking of highly-productive exporters compared with less productive domestically orientated firms’.

Articles

Paper

Questions

  1. How suitable is output (GDP) per hour as a measure of labour productivity?
  2. Compare this measure of productivity with other measures.
  3. According to Crafts and Mills, what is the size of the impact of each of their three explanations of the productivity slowdown?
  4. Would you expect the growth in productivity to return to pre-2007 levels over the coming years? Explain.
  5. Explain the underlying model for obtaining trend productivity growth rates used by Crafts and Mills.
  6. Explain and comment on each of the six figures in the Crafts and Mills paper.
  7. What policies should the government adopt to increase productivity growth?
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Can money buy you happiness?

How to get the most from your money? This is the question posed by the linked article below. It’s a topic we’ve looked at in previous posts, such as Studies show that money can buy happiness (but only if you spend on experiences), Happiness economics and Peak stuff. This article takes the arguments further.

It suggests that, up to a certain level of income, there is a roughly linear relationship between money and life satisfaction. As poor people have more to spend, so they can begin to escape poverty and the negative features of financial insecurity and a lack of basic necessities, such as food and shelter. They also gain a greater freedom to choose what and when to buy. Beyond a certain level, however, the rate of increase in life satisfaction tends to decline, as does the specific pleasure from additional individual purchases. In economists’ language, the marginal utility of income diminishes.

But the article goes further than this. It suggests that satisfaction or happiness is of two broad types. The first is the general sense of well-being that people get from their life. This tends to be relatively stable for any given person, but will tend to increase as people have more money to spend or have more fulfilling jobs. Of course, there may well be a trade-off between income and job satisfaction. Some people may prefer to take a cut in pay for a more fulfilling job.

The second is the satisfaction or happiness you get from specific experiences. This tends to fluctuate on a day-to-day basis, depending on what you are doing. Here, what you purchase and the use you make of the purchases is a key component.

So what lessons are there for earning and spending money wisely? To start with, it is important to get a good work-life balance. It may be worth trading income for job satisfaction. Here the focus should be on long-term fulfilment, rather than on the short-term happiness from more ‘stuff’. Then it is important to spend money wisely. Here the author identifies three lessons:

The first is to consider buying time. Time-saving purchases, such as dishwashers can help. So too can ‘outsourcing’ activities, such as cleaning, laundry, cooking, DIY or child care, if they give you more time to do other more fulfilling things (but not if you love doing them!).

The second is to spend more money on experiences (as we saw in the post Studies show that money can buy happiness (but only if you spend on experiences). A better TV or car may seem like a wiser investment than more dinners out, holidays or going to concerts. But we quickly adapt to new upgraded ‘stuff’, thereby eliminating any additional satisfaction. Experiences, however, tend to linger in the memory. As Tom Gilovich, a psychology professor at Cornell University, is quoted by the article as saying:

Even though, in a material sense, they [experiences] come and go, they live on in the stories we tell, the relationships we cement, and ultimately in the sense of who we are.

Choosing a more fulfilling but less well-paid job is a form of spending money on experiences.

The third is to give some of your money away, whether to charity or to helping friends or relatives. As Gilovich says:

It’s hard to find a more charming finding than that by giving away money, you not only make someone else happier, you make yourself happier.

Article

Questions

  1. What is meant by ‘diminishing marginal utility of income’? Is the concept consistent with the arguments in the article?
  2. In what sense may it be rational to choose a lower-paid job?
  3. Is ‘happiness’ the same as ‘utility’ as the concept is used by economists?
  4. Does the concept of ‘peak stuff’ apply to all physical products? Explain your answer.
  5. If giving money away makes a person happy, is it truly altruistic for that person to do so? Explain.