Tag: allocative efficiency

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What do ticket resellers and parents have in common?

Examples of rent seeking in economic theory

In March 2024, two people were convicted of running a business that used dishonest and illegal methods to buy and sell tickets for popular live events such as Ed Sheeran, Lady Gaga and Little Mix concerts. Between June 2015 and December 2017, this business purchased 47 000 tickets using 127 names and 187 different e-mail addresses.

Economists refer to these actions as examples of rent seeking. However, many rent-seeking activities are not illegal.

What is rent seeking?

Rent seeking in economic theory refers to costly actions taken by people (i.e. they involve effort and expertise) to try to gain a greater share of a given level of profit /surplus. These actions do not generate any extra surplus or value for society and typically involve people trying to game or manipulate a situation or system for their own personal gain.

In many cases, the opportunity cost of these actions can be considerable. In this case, the opportunity cost is the surplus for society that could have been gained if this effort/expertise had been used to carry out more productive tasks.

A widely cited example of rent seeking is where firms exert time and effort to try to influence government policy through lobbying. Most lobbying activities in the UK are not illegal.

Non-price allocation

When prices are set below the market-clearing rate, by either the government or a private organisation, the quantity demanded of the good/service will exceed the quantity supplied. Therefore, non-price allocation must play a role. In other words, some method other than willingness to pay the price, must be used to determine which consumers receive the goods.

In some instances, such as visits to the GP or places at state schools, the good or service has a zero monetary price. In these cases. non-price allocation methods completely replace the role of the price in determining which consumers obtain the goods/services.

In other examples, a positive monetary price is set, but below the market-clearing rate. In these cases, the price partly determines who get the good/service (i.e. people must be willing to pay the non-market-clearing price), but non-price allocation also plays a role. The further below the market-clearing level the price is set, the greater the potential role for non-price methods.

Some common methods of non-price allocation include:

  • First-come first served. This typically results in some type of queueing, either in person or online (a virtual queue).
  • A random selection process. For example, some goods/services are allocated via a lottery, with names of consumers being randomly drawn.
  • The government or other public bodies in charge of allocating the good develop a set of rules to determine which consumers/people get the good. For example, when allocating places at popular state schools, priority is often given to children who live close to the school (i.e. in the catchment area) or who live in families with certain religious beliefs.

Examples of rent seeking

When non-price methods of allocation are implemented, can consumers engage in activities that increase their chances of getting hold of the good/service? Can they manipulate the system for their own advantage and gain a greater share of any surplus? This is rent seeking.

A survey carried out in January 2025 provides some interesting evidence of rent-seeking actions taken by parents to try to secure a place for their child at a popular school. Twenty-seven per cent of the respondents admitted they had tried to manipulate the system to get their child into their preferred school. Out of those who admitted attempting to manipulate the system:

  • 30 per cent registered a child at either another family member’s or friend’s address that was closer to a popular school.
  • 25 per cent exaggerated religious beliefs and attended church services to try to secure a school place.
  • 9 per cent temporarily rented a second home inside the catchment area for the school.
  • 7 per cent moved into the catchment area for the application, only to move out once their child’s place was secured.

Some of these actions may be dishonest but are not illegal.

Rent-seeking activities in the ticketing market for live events

In the primary market for tickets, prices for popular live events are often set below market-clearing levels. Therefore, non-price methods, such as first come, first served, are used to allocate the tickets. This typically results in some type of queueing. Rent-seeking activities include actions taken by consumers to increases their chances of getting nearer to the front of the queue.

If the tickets are being sold from a physical outlet (i.e. a sales kiosk), then some consumers may start queueing many hours before the kiosk opens – in some cases camping overnight. An example is the ‘The Queue’ for Wimbledon tennis matches. Rather than queueing themselves, some people might pay others to queue on their behalf.

People who are paid to queue are sometimes referred to as a ‘line stander’, ‘queue stander’, ‘line sitter’ or ‘queue professional’. Line standers offer their services via market platforms, such as TaskRabbit.

When tickets are sold online, non-market allocation includes both queuing and random selection. Typically, people have to create an account with the primary market ticketing website (Ticketmaster, See Tickets, Eventbrite or AXS) before the sale begins. Then, using this account, they can enter an online waiting room around 15 minutes before the tickets are available to purchase. There is thus an element of first come, first served. When the sale starts, people in the waiting room are randomly allocated a place in the online queue. Once they reach the front of the online queue, the event organiser normally places limits on the number of tickets they can purchase.

What can people do to manipulate this system and so increase their chances of purchasing tickets? In other words, what are the possible rent-seeking activities? One possibility is to create multiple accounts using the details of friends/family and then join the waiting room with each of these accounts using separate devices. Professional resellers often try to use specialist software, called bots, that can create thousands of fake accounts and so significantly increase the chances of getting to the front of the queue. Once they get to the front of the queue, an account created by a bot can proceed through the purchasing process much faster than a person can. The tickets can then be sold for a profit in the uncapped secondary market via websites such as Stubhub and Viagogo.

The UK government passed a law in 2017 that made the use of bots to circumvent ticket purchase limits an illegal activity. The use of ticket bots in the EU became illegal in 2022. Primary market ticketing websites have also invested in technology that tries to detect and block the use of this type of software.

Government policy in the resale of tickets

Should the government prohibit the resale of tickets or implement a resale price cap to try to deter this rent-seeking activity?

Many economists would oppose this policy because of the benefits of the secondary market. For example, resale helps to reallocate tickets to those consumers with the highest willingness to pay. Therefore, the secondary-ticketing market can have a positive impact on allocative efficiency, but it comes at a cost – rent-seeking activities.

Research by economists published more than ten years ago found that the positive impact of the resale market on allocative efficiency outweighed the rent-seeking costs. However, developments in technology have increased the level of rent seeking in recent years, making it easier and less costly for professional resellers to purchase large amounts of tickets in the primary market. Therefore, it is possible that the rent-seeking cost of the secondary market now exceeds its positive impact on allocative efficiency. A case can thus be made for greater intervention by the government.

Recent accusations have also been made about possible rent-seeking activities by sellers in the primary ticketing market too, adding to concerns.

Some of the problems of implementing a resale price cap were discussed in a previous post: Ticket resales – is it time to introduce a price cap?

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Questions

  1. Compare and contrast the meaning of the word ‘rent’ in everyday language with its use in economic theory.
  2. Give examples of some policies that a business might lobby the government to implement. What arguments might the business make to justify each of these policies?
  3. Outline some of the non-price methods that are used to allocate health care in the UK.
  4. Draw a demand and supply diagram to illustrate the incentives for rent-seeking activities when prices are set below market-clearing levels.
  5. Outline some potential rent-seeking activities by sellers in the primary ticketing market.
  6. Discuss some of the opportunity costs of rent-seeking activity in the market for tickets.
  7. Explain why the growing use of paid line standers might increase the demand for a good/service.
  8. Explain why the percentage of tickets for popular live events purchased by professional resellers has increased in the past 10 years.
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Ticket resales – is it time to introduce a price cap?

Following the controversary over the sale of tickets for popular live events such as Taylor Swift’s Eras tour and the Oasis Live ’25 Tour, the government launched a consultation exercise in January 2025 on the resale of tickets. Titled, ‘putting fans first’, the exercise sought the views of individuals and organisations on a range of policy proposals. One of these was the implementation of a cap on the resale price of tickets.

The government is not only considering whether to implement a cap but also the level at which it might be set. The following question was included in the consultation exercise.

What is the maximum uplift that you think should be applied if ticket resales were to be subject to a price cap? Please state the reason for your selection.
 • no uplift at all
 • 10% or less
 • between 10 and 20%
 • between 20 and 30%
 • other – please state

Some platforms such as Twickets and Ticketswap already cap resale prices on their platforms at between 5 and 10 per cent above the face value of the ticket. They are, therefore, less likely to be affected by any new price regulation unless the ‘no uplift at all’ option is chosen. On other platforms, such as Viagogo and Stubhub, resellers are free to list tickets at whatever price they choose. This is often referred to as the uncapped market, and tickets for the Oasis tour with a face value of £150 were listed on these websites for £14 000. The implementation of a price cap is likely to have a big impact on this part of the resale market. The chief executive of StubHub stated in June 2025 that the business would probably have to exit the UK if a cap was introduced.

Although many fans dislike the uncapped secondary ticketing market, most economists take a more positive view. They see them as a way of facilitating mutually beneficial trade and helping to reallocate tickets to those with the highest willingness to pay. This reduces levels of allocative inefficiency/deadweight welfare loss in the market.

Economists also tend to argue against the use of price controls in competitive markets because of their negative impact on supply. If price controls reduce the available returns to sellers, they have an incentive to do something else with their time/resources i.e. switch to supplying other goods and services in markets not subject to price controls. This reduces supply in the regulated market and so could have a negative impact on consumer surplus.

What are the issues with the secondary market?

Given the benefits outlined by economists of having an uncapped secondary ticketing, why is the government considering the implementation of a price cap? One potential issue of having an uncapped secondary ticketing market is that developments in technology make it easier for professional resellers to buy very large quantities of tickets. This makes it increasingly difficult for fans who want to attend the event from being able to purchase a ticket.

Reports also suggest that professional resellers use illegal methods to both mass purchase and resell tickets. For example, to overcome any limits on sales imposed by the sellers in the primary market, some use automated software, fake IDs and multiple credit cards. Two people convicted of fraudulent trading in 2024 were found to have bought 47 000 tickets over a 212-year period, using 127 names and 187 different e-mail addresses.

Some resellers have also acted in ways that do not comply with consumer law when advertising tickets for sale. For example, not providing information such as the ticket number and other details about where the seat is located i.e. the block/area and row.

These rent seeking activities by professional resellers could outweigh the positive impact of uncapped secondary market on allocative efficiency.

Implementing a resale price cap would reduce the incentives for professional resellers to purchase large quantities of tickets and engage in these rent-seeking activities. However, in the consultation document the government recognises that the implementation of a resale price cap would be a ‘significant and complex intervention’.

An important implementation issue

To calculate the resale price cap for any live event, the original price of the ticket in the primary market needs to be known. This raises an interesting question – should the cap apply to the initial face value of the ticket or the total price the customer pays?

The face value of the ticket may only represent a proportion of the actual cost of buying a ticket because of the widespread use of drip pricing. This is the practice of applying additional fees as the consumer proceeds through the online purchasing process. These fees can sometimes add around 25 per cent and more to the price of a ticket. In the consultation document, the government suggested that the cap should apply to the face value of the ticket plus all compulsory fees.

One issue raised in the response to the consultation by the Competition and Markets Authority is that these fees are not always made clear by sellers in the primary market in a clear and transparent way. Therefore, for the policy to be effective, primary market sellers would have to make information on both ticket prices and any fees clearly and easily available. Recent changes to the law that prohibit drip pricing might help to address this issue.

The potential impact of a resale price cap on fraud

To avoid the price cap, there is a danger that increasing numbers of buyers and sellers stop using capped secondary ticket platforms, where activity is easier to observe/regulate, and switch to other non-specialist platforms where detection of illegal behaviour and enforcement of consumer law is more difficult. Examples of non-specialist platforms where sales might increasingly take place include Facebook Marketplace, Instagram Shop, X (formerly Twitter) and internet forums. With lower levels of consumer protection and the greater difficulty of detecting illegal behaviour, sales via these non-specialist platforms are more vulnerable to scams and fraud.

When referring to the impact of a resale price cap, the chief executive of StubHub argued that:

It will have a massive negative impact on consumers. It’s not like the demand is going to go away, it’s just going to move somewhere else, and that somewhere else is going to be the black market [where] consumers aren’t protected.

To test the hypothesis that price controls lead to greater incidences of fraud, one study used polling data to compare ticket fraud rates in the UK with Victoria, Australia and Ireland. In 2009, the state government of Victoria made it illegal for tickets to be resold for more than 10 per cent of their face, while the Irish government introduced the Sale of Ticket Act in 2021 that prohibited the resale of tickets above their original price. The study found that the proportion of respondents who reported being victims of ticket fraud over the previous two years was around four times higher in Victoria and Ireland than the UK. The most common sales channel where consumers experienced ticket fraud in all three countries were social media platforms.

Another example of the potential impact of the price cap in Ireland on fraud relates to the first ever regular-season NFL game that is being played in Dublin on 28 September 2025 between the Pittsburgh Steelers and the Minnesota Vikings. The online bank, Revolut, reported an 80 per cent increase in the number of ticket scams when tickets for this game went on sale.

In response to the consultation exercise, the Competition and Markets Authority backed the implementation of a resale price. It will be interesting to see if the government goes through with the measure in the next few months.

Consultation

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Questions

  1. Why might event organisers set ticket prices below the market clearing rate? Illustrate the impact of setting prices below market clearing rates on consumer, producer and total surplus in the primary market for tickets.
  2. Using a demand and supply diagram, explain how the uncapped secondary ticket market could reduce deadweight welfare loss. Discuss any assumptions you have made about the allocation of tickets among potential buyers in the primary market (i.e. sorting).
  3. Is it possible for professional resellers to continue making a profit if tickets are sold at market clearing rates in the primary market? Explain your answer.
  4. Under what circumstances would a maximum price set below the market clearing rate in a competitive market have a negative impact on consumer surplus? Draw a diagram to illustrate your answer.
  5. Using examples, explain what is meant by ‘rent seeking’ in economic theory.
    Outline some of the recent updates to the law on pricing information that businesses must show customers.
  6. What policies, other than a resale price cap, could the government introduce to try to address some of the issues with the ticketing market for live events?
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UK–Australia trade deal: benefits and costs

The UK and Australia are set to sign a free-trade deal at the G7 summit in Cornwall on 11–13 June. This will eventually give tariff-free access to each other’s markets, with existing tariffs being phased out over a 15-year period. It is the first trade deal not based on an existing EU template. The government hopes that it will be followed by trade deals with other countries, including New Zealand, Canada and, crucially, the USA.

But what are the benefits and costs of such a deal?

Trade and comparative advantage

The classic economic argument is that free trade allows countries to benefit from the law of comparative advantage. According to the law, provided opportunity costs of various goods differ in two countries, both of them can gain from mutual trade if they specialise in producing (and exporting) those goods that have relatively low opportunity costs compared with the other country. In the case of the UK and Australia, the UK has a comparative advantage in products such as financial services and high-tech and specialist manufactured products. Australia has a comparative advantage in agricultural products, such as lamb, beef and wheat and in various ores and minerals. By increasing trade in these products, there can be a net efficiency gain to both sides and hence a higher GDP than before.

There is clearly a benefit to consumers in both countries from cheaper products, but the gains are likely to be very small. The most optimistic estimate is that the gain in UK GDP will be around 0.01% to 0.02%. Part of the reason is the physical distance between the two countries. For products such as meat, grain and raw materials, shipping costs could be relatively high. This might result in no cost advantage over imports from much nearer countries, such as EU member states.

But modern trade deals are less about tariffs, which, with various WTO trade rounds, are much lower than in the past. Many imports from Australia are already tariff free, with meat currently having a tariff of 12%. Modern trade deals are more about reducing or eliminating non-tariff barriers, such as differing standards and regulations. This is the area where there is a high degree of concern in the UK. Import-competing sectors, such as farming, fear that their products will be undercut by Australian imports produced to lower standards.

Costs of a trade deal

In a perfectly competitive world, with no externalities, labour mobile between sectors and no concerns about income distribution, eliminating tariffs would indeed provide an efficiency gain. But these conditions do not hold. Small farmers are often unable to compete with food producers with considerable market power. The danger is that by driving out such small farmers, food production and supply might not result in lower long-run prices. Much would depend on the countervailing power of supermarkets to continue bearing down on food costs.

But the question of price is probably the least worrying issue. Meat and grain is generally produced at lower standards in Australia than in the UK, with various pesticides, fertilisers and antibiotics being used that are not permitted in the UK (and the EU). Unless the trade deal can involve UK standards being enforced on products produced in Australia for export to the UK, UK farmers could be undercut by such imports. The question then would be whether labelling of imported food products could alert consumers to the different standards. And even if they did, would consumers simply prefer to buy the cheaper products? If so, this could be seen as a market failure with consumers not taking into account all the relevant health and welfare costs. Better quality food could be seen as a merit good.

Then there are the broader social issues of the protection of rural industries and societies. Labour is relatively immobile from farming and there could be a rise in rural unemployment, which could have local multiplier effects, leading to the decline of rural economies. Rural ways of life could be seriously affected, which imposes costs on local inhabitants and visitors.

Trade itself imposes environmental costs. Even if it were privately efficient to transport products half way around the world, the costs of carbon emissions and other pollution may outweigh any private gains. At a time when the world is becoming increasingly concerned about climate change, and with the upcoming COP26 conference in Glasgow in November, it is difficult to align such a trade deal with a greater commitment to cutting carbon emissions.

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Questions

  1. Why might the UK government be very keen to sign a trade deal with Australia?
  2. Does the law of comparative advantage prove that freer trade is more efficient than less free trade? Explain.
  3. What externalities are involved in the UK trading with Australia? Are they similar to those from trading with the USA?
  4. If a trade deal resulted in lower food prices but a decline in rural communities, how would you establish whether this would be a ‘price worth paying’?
  5. If some people gain from a trade deal and others lose and if it were established that the benefits to the gainers were larger than the costs to the losers, would this prove that the deal should go ahead?
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Is personalised pricing possible?

A number of famous Business Schools in the UK and US such as MIT Sloan, NYU Stern and Imperial College have launched new programmes in business analytics. These courses have been nicknamed ‘Big Data finishing school’. Why might qualifications in this area be highly valued by firms?

Employees who have the skills to collect and process Big Data might help firms to successfully implement a pricing strategy that approaches first-degree price discrimination.

First-degree price discrimination is where the seller of a product is able to charge each consumer the maximum price he or she is prepared to pay for each unit of the product. Successfully implementing this type of pricing strategy could enable a firm to make more revenue. It might also lead to an increase in economic efficiency. However, the strategy might be opposed on equity grounds.

In reality, perfect price discrimination is more of a theoretical benchmark than a viable pricing strategy. Discovering the maximum amount each of its customers is willing to pay is an impossible task for a firm.

It may be possible for some sellers to implement a person-specific pricing strategy that approaches first-degree price discrimination. Firms may not be able to charge each customer the maximum amount they are willing to pay but they may be able to charge different prices that reflect customers’ different valuations of the product.

How could a firm go about predicting how much each of its customers is willing to pay? Traditionally smaller sellers might try to ‘size up’ a customer through individual observation and negotiation. The clothes people wear, the cars they drive and their ethnicity/nationality might indicate something about their income. Second-hand car dealers and stall-holders often haggle with customers in an attempt to personalise pricing. The starting point of these negotiations will often be influenced by the visual observations made by the seller.

The problem with this approach is that observation and negotiation is a time-consuming process. The extra costs involved might be greater than the extra revenue generated. This might be especially true for firms that sell a large volume of products. Just imagine how long it would take to shop at a supermarket if each customer had to haggle with a member of staff over each item in their supermarket trolley!! There is also the problem of designing compensation contracts for sales staff that provide appropriate incentives.

However the rise of e-commerce may lead to a very different trading environment. Whenever people use their smart phones, laptops and tablets to purchase goods, they are providing huge amounts of information (perhaps unconsciously) to the seller. This is known as Big Data. If this information can be effectively collected and processed then it could be used by the seller to predict different customers’ willingness to pay.

Some of this Big Data provides information similar to that observed by sellers in traditional off-line transactions. However, instead of visual clues observed by a salesperson, the firm is able to collect and process far greater quantities of information from the devices that people use.

For example, the Internet Protocol (IP) address could be used to identify the geographical location of the customer: i.e. do they live in a relatively affluent or socially deprived area? The operating system and browser might also indicate something about a buyer’s income and willingness to pay. The travel website, Orbitz, found that Apple users were 40 per cent more likely to book four or five star hotel rooms than customers who used Windows.

Perhaps the most controversial element to Big Data is the large amount of individual-level information that exists about the behaviour of customers. In particular, browsing histories can be used to find out (a) what types of goods people have viewed (b) how long they typically spend on-line and (c) their previous purchase history. This behavioural information might accurately predict price sensitivity and was never available in off-line transactions.

Interestingly, there has been very little evidence to date that firms are implementing personalised pricing on the internet. One possible explanation is that effective techniques to process the mass of available information have not been fully developed. This would help to explain the growth in business analytics courses offered by universities. PricewaterhouseCoopers recently announced its aim to recruit one thousand more data scientists over the next two years.

Another possible explanation is that firms fear a backlash from customers who are deeply opposed to this type of pricing. In a widely cited survey of consumers, 91% of the respondents believed that first-degree price discrimination was unfair.

Articles

Big data is coming for your purchase history – to charge you more money The Guardian, Anna Bernasek and DT Mongan (29/5/15)
Big data is an economic justice issue, not just a Privacy Problem The Huffington Post, Nathan Newman (16/5/15)
MIT’s $75,000 Big Data finishing school (and its many rivals) Financial Times, Adam Jones (20/3/16)
The Government’s consumer data watchdog New York Times, Natasha Singer (23/5/2015)
The economics of big data and differential pricing The Whitehouse blog, Jason Furman, Tim Simcoe (6/2/2015)

Questions

  1. Explain the difference between first- and third-degree price discrimination.
  2. Using an appropriate diagram, explain why perfect price discrimination might result in an economically more efficient outcome than uniform pricing.
  3. Draw a diagram to illustrate how a policy of first-degree price discrimination could lead to greater revenue but lower profits for a firm.
  4. Why would it be so difficult for a firm to discover the maximum amount each of its customers was willing to pay?
  5. Explain how the large amount of information on the individual behaviour of customers (so-called Big Data) could be used to predict differences in their willingness to pay.
  6. What factors might prevent a firm from successfully implementing a policy of personalised pricing?