New piece from me and Jan Bakker in The Conversation
theconversation.com/could-new-te...
@nikdatta.bsky.social
Economist. Assistant prof @ warwick, fellow @ CEP LSE, PhD alum @ UCL. Child of immigrants. Serene since 17/06/06. http://nikhil-datta.com
New piece from me and Jan Bakker in The Conversation
theconversation.com/could-new-te...
Assessment Tool. Scottish Local Planning Authorities prepare a Local Housing Strategy based on local Housing Need and Demand Assessments. We take these different systems into account when we discuss housing targets in
section 4.4." Page 6. Not sure you read it very well.
"This table shows the history of housing target policies only for England. Wales and Scotland have devolved housing delivery policies with Welsh Local Planning Authorities setting housing numbers in their Local Development Plans informed by the Welsh government’s Local Housing Market...
20.11.2025 14:07 — 👍 0 🔁 0 💬 1 📌 0Commenting on an article having not read it is quite a basic error, but not uncommon.
“In practice we use separate gaps for England, Scotland and Wales, aggregated from LA targets which amount to England - 371994, Scotland - 20045 and Wales - 9879 homes per year.“ Page 37.
We don’t include flood zone mapping or geographical limitations- only planning designations. If you think of interest to policy makers we can look at incorporating in future iterations.
11.11.2025 12:45 — 👍 1 🔁 0 💬 2 📌 0Any interested stakeholders (policymakers, planners, developers etc) feel free to get in touch. We have also produced 350 LA specific reports accessible here: www.warwick.ac.uk/cage/whereto....
11.11.2025 11:39 — 👍 1 🔁 0 💬 0 📌 0Looking at detailed evidence on planning restrictiveness, we find that Bexley, Lewisham, and Wandsworth combine high housing gaps with slow, restrictive planning systems. These areas urgently need reform. In contrast, Manchester, Leeds, and Birmingham show high demand and efficient planning.
12/n
We then turn to planning designations. 15% of the gap lies in Greenbelt areas – but it’s very concentrated. Allowing building on just 10% of England’s greenbelts with the highest gap would be a huge positive. This particularly pronounced around the North and Northwest. 11/n
11.11.2025 11:39 — 👍 0 🔁 0 💬 2 📌 0To meet Britain’s housing gap, around 50% of new homes need to come from densification—especially in Wandsworth, Islington, Camden, Manchester, Bristol, Salford, Edinburgh & Portsmouth. Another 30% should be urban extensions like North Shields and South London (Richmond–Kingston).
10/n
Arguably the most important finding is that 96% of the variation is within LAs rather than between. Many LAs have areas of both high and low gaps. Croydon for example has OAs in the top 6th percentile and bottom 1st percentile. 9/n
11.11.2025 11:39 — 👍 0 🔁 0 💬 1 📌 1The areas with the highest housing gaps are in trendy urban centres, all classed as densification. Those with the lowest gaps cluster near sewage plants, airports, major roads, or in places lacking basic amenities—where few people want to live. 8/n
11.11.2025 11:39 — 👍 0 🔁 0 💬 1 📌 0We use 20 billion Rightmove searches and housing availability data to build our key measure of excess demand—the housing gap: the difference between how many people search for homes in an area and how many are available. We calculate this at the OA level – essentially a neighbourhood. 7/n
11.11.2025 11:39 — 👍 0 🔁 0 💬 1 📌 0The proportion of densification has fallen over the past 2 decades, while urban extensions have grown along with small town extensions. We show that urban extensions are slower and more bureaucratic, with longer planning times and slower build-out rates compared to densification. 6/n
11.11.2025 11:39 — 👍 0 🔁 0 💬 1 📌 0We then classify every new build by where it happened—combining settlement size, distance to the city centre, and local context:
New Rural Developments – small villages & rural areas
Small Town Extensions – around small towns
Urban Extensions – city outskirts
Densification – inner-city builds
5/n
70% of new builds have worse than average job access than the existing housing stock, and this figure is even worse when considering only public transport. 4/n
11.11.2025 11:39 — 👍 0 🔁 0 💬 1 📌 018% of all new builds are now in rural villages or small towns without a secondary school or GP up from 11% in 2010. 3/n
11.11.2025 11:39 — 👍 0 🔁 0 💬 1 📌 0In the report we start by asking where has Britain built? Using data on 3.2 million builds over the past two decades we document that many new homes are built in low-demand areas with poor amenities and worse than average access to jobs. 2/n
11.11.2025 11:39 — 👍 0 🔁 0 💬 1 📌 0Where should Britain build 1.5 million homes?
@amritakulka.bsky.social l and I analysed 20 billion housing searches + availability to map demand at a hyper-local level.
Map 👉 wheretobuild.warwick.ac.uk
Full + 350 LA reports 👉 www.warwick.ac.uk/cage/whereto...
@cagewarwick.bsky.social
1/n
Are you an economist looking for a pre-doc? Are you interested in youth crime and policy? Then come work with us! We're hiring at @cep-lse.bsky.social to come and work with Rui Costa, Matteo Sandi and myself on a joint project. Applications now open: jobs.lse.ac.uk/Vacancies/W/...
#EconRA #EconSky
As someone who has lived in three different towns in Hertfordshire, I have no idea what he's talking about. Now if you need me I'll be eating second breakfast.
03.11.2025 10:06 — 👍 1 🔁 0 💬 0 📌 0Warwick econ are hiring! With a preference for Macro & Development.
econjobmarket.org/positions/12...
Glad to see my new piece in The Conversation is stimulating informed debate
25.10.2025 06:49 — 👍 0 🔁 0 💬 0 📌 0theconversation.com/how-new-rent...
New piece from Jan David Bakker & myself on some of the possible consequences of the renter's rights bill
Attention IO job market candidates:
Sometimes speakers in the CMA's external economics seminar series have to cancel at relatively short notice. We would love for these slots to go to JMCs to present their job market paper.
Drop me a message if you are interested or share with those who might be.
I did not expect to wake up to a policy which included “subsidise pubs”.
“That is what our £5bn neighbourhood fund is about, to be spent for local people and by local people on their community’s needs.
Whether that’s restoring a local pub…”
www.telegraph.co.uk/gift/f9444c6...
Depending on the many small files context, you can set them up as a partitioned dataset which something like duckdb can treat as a single table.
Recently started using duckdb a lot out of necessity (20tb dataset), and can't praise it enough.
One of the big benefits of duckdb is that you don’t need to load the entire file onto ram. The smaller the file, the less the gains from using columnar storage / not loading onto ram. Small csv sizes read onto ram will be basically instantaneous.
22.07.2025 20:41 — 👍 1 🔁 0 💬 1 📌 0www.thisismoney.co.uk/money/cars/a...
Good to see coverage of mine and Johannes Brinkmann's @cagewarwick.bsky.social on the RTFO. Here's a nice graph showing the benefits...
19 years sober
17.06.2025 05:58 — 👍 2 🔁 0 💬 0 📌 0One of the tunes I've written (I occasionally write music) just got added to a playlist with this title...
open.spotify.com/playlist/7yL...