Tuesday, 12 May 2026

The October Panic: Why We All Sign Housing Contracts Too Early and Live to Regret It.

 

Source: StuRents, (2026) Available at: https://sturents.com/student-accommodation/gillingham/house/medway-road/293715

 

It's only Week 3. Why are people already talking about houses? You’re still navigating where your lectures are, forgetting the names of your flat mates, and calling your parents to ask whether whites and colours can be mixed in the wash. Yet, there’s an unavoidable feeling of dread in the air when you walk through the Student Union or scroll through your group chat: The Student Housing Stampede.

 

Year after year, thousands of UK university students are in a hurry to sign rental contracts for the following academic year as early as October. This notorious "October panic" forces nineteen-year-olds to commit thousands of pounds to houses they’ve viewed for 10 minutes, sharing them with people they’ve known for less than a month. To a casual observer, this may seem like utter lunacy; through the lens of a microeconomist, this is a textbook case of market failure.

 

Following The Headless Herd: The Logic of Information Cascade

 

Why do we (students) do it? If you approached a student and asked why they're queuing outside a letting agency at 9:00 AM on a Thursday, a typical answer would be: "Because if I don't, I'm scared all the good houses will be gone," and honestly, can you blame them?

 

In a perfect world, students would wait until January or February to put money down on a house. This gives them time to gather ‘private information', such as checking whether your friends are actually tidy or whether a particular neighbourhood is too loud. However, we often internalise our doubts and decide to follow the actions of those who moved first (i.e., the students who are already house hunting). This results in an information cascade.

 

The theory, famously established by Bikhchandani et al. (1992), suggests that once one or two people start signing contracts early, it becomes “rational” for everyone else to follow suit (regardless of individuals’ own information). We assume that because the “herd” is moving, they must know something that we don't – perhaps there is a genuine shortage of houses with ensuites. The longer the queue grows, the more irresistible the signal to join it becomes.

 

Are we our own worst enemies?

 

The irony is that cascades are incredibly fragile! Bikhchandani et al. (1992) argue that information cascades are built on a ‘precarious’ foundation of very little information and therefore are susceptible to sudden collapses. Collectively, if we all paused our house hunting for a week, the entire panic would likely disappear. Instead, we stay trapped in a cycle where the rush itself creates the scarcity that strikes fear into students.

 

Peaches, Lemons, and Property: Asymmetric Information and The Lemons Problem

 

If you’ve ever left a house visit with a sinking feeling that the “characterful” walls are just a fresh coat of paint over black mould, you’re not alone! Housing markets are filled with information asymmetry (Eerola & Lyytikäinen, 2015). It’s a fancy way of saying the landlord knows exactly how many times the boiler has died this winter, but you don’t.

Because a twenty-minute viewing is ‘’performative’’, student housing becomes what Nelson (1970) calls an ‘experienced good’ – a product whose true quality remains a mystery until you’ve lived there for a month. Asymmetric information may lead to adverse selection, famously explained by George Akerlof (1970) in "The Market for Lemons"

Source: Engage Leeds University Union Available at: https://engage.luu.org.uk/events/6HPK6/smart-moves-house-hunting

We’re all eager to live in great homes with friends in second year, but asymmetric information usually ruins that dream – trust me, I know! Think of it this way: the market has "peaches" (well-maintained homes) and "lemons" (damp nightmares). If you can't tell them apart, you won't risk paying a "peach" price of £200 per week; instead, you’ll offer a "safe" average – say, £150.

But here’s the trap: a landlord who has invested in refurbishments (the Peach) can't afford to accept the lower rent and pulls their house off the market entirely. Meanwhile, the landlord with the broken boiler (the lemon) is thrilled to get £150 for a house worth only £100. Over time, the "Peaches" disappear, leaving students with a market full of overpriced "lemons".

The self-inflicted October panic means that we lose time to spot the difference between “peaches” and “lemons”, resulting in students paying for the “lemons” that our parents warned us about.

Fear, Framing, and Fallowfield: The Psychology of the Panic

If the outcomes are so bad, why doesn't our common sense kick in? This is explained in economics by systematic biases.

In Manchester, where there is a reported shortfall of roughly 4,000 student beds (Manchester Evening News, 2022), this "extreme sport" of housing is fuelled by more than just supply and demand. At its core, it’s driven by the psychology of scarcity framing. Letting agents have made a fortune off this.

By placing "Agreed" stickers on windows or sending "Last remaining 6-bed house!" emails around, a reference point based on fear has been created. We no longer judge a house by its value; we judge it by the fear of having nowhere to sleep. The possibility of "simply having a roof" suddenly outweighs whether that roof actually leaks. In our minds, the relief of a signed house in October feels more valuable than the guarantee of having a warm house next September. This is a classic case of hyperbolic discounting, where we overvalue the immediate present at the expense of our future comfort.

A Solution to the “October Panic”?

Tackling asymmetric information between tenants and landlords is an effective way to treat the "October panic" and the issue of adverse selection.

Manchester Student Homes presents a solution to information failure and the “October Panic” by offering an online platform that lists available housing all year round and collaborates with accredited landlords to ensure quality accommodation. Instead of landlords holding all the cards, students can actually see what’s out there and decide which properties are “lemons” or “peaches”. This way, we students can feel assured that good homes exist beyond October (whew).

Manchester Student Homes is a step in the right direction, reducing the information gap that drives the “October Panic”. However, platforms alone cannot fully change human behaviour, as some individuals will opt to follow the crowd regardless of the information available. Ultimately, the “October Panic” may be reduced, but not fully eliminated.

 

 

Reference List:

Akerlof, G.A. (1970). The market for 'lemons': quality uncertainty and the market mechanism. Quarterly Journal of Economics, 84(3), pp.488–500.

Bloomenthal, A. (2024). Asymmetric information in economics explained. [online] Investopedia. Available at: https://www.investopedia.com/terms/a/asymmetricinformation.asp [Accessed: March 25, 2026].

Davies, E. (2022). Manchester student housing crisis will 'only get worse', property expert warns. [online] Manchester Evening News. Available at: https://www.manchestereveningnews.co.uk/news/greater-manchester-news/dire-manchester-student-housing-crisis-25519515 [Accessed: March 27, 2026].

Eerola, E. and Lyytikäinen, T. (2015). On the role of public price information in housing markets. Regional Science and Urban Economics, 53, pp.74–84. doi: https://doi.org/10.1016/j.regsciurbeco.2015.05.006.

Hall, R. (2022). UK student housing reaching 'crisis point' as bad as 1970s, charity warns. [online] The Guardian. Available at: https://www.theguardian.com/education/2022/dec/26/uk-student-housing-reaching-crisis-point-as-bad-as-1970s-charity-warns [Accessed: March 27, 2026].

Luu.org.uk. (2026). Smart moves: house hunting. [online] Available at: https://engage.luu.org.uk/events/6HPK6/smart-moves-house-hunting [Accessed April 12, 2026].

Nelson, P. (1970). Information and consumer behavior. Journal of Political Economy, 78(2), pp.311–329. Available at: https://www.jstor.org/stable/1830691 [Accessed: March 30, 2026].


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