Erlend E Bø
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erlendebo-econ.bsky.social
Erlend E Bø
@erlendebo-econ.bsky.social
Research economist at Statistics Norway. Urban and public economics.
Norwegian language opinions as @erlendebo.bsky.social

Web page: sites.google.com/site/erlendebo/
Very interesting!

I've got a paper on small-scale (buy-to-let) housing investors. The results pointing in the same direction as the papers you mention. Taxing investors increases homeownership and total welfare, while increasing rents.
papers.ssrn.com/sol3/papers....
Buy to let: The role of rental investors in housing booms
How do rental investors affect housing price dynamics? I develop a structural search model that allows housing owners to invest in rental housing, and let rents
papers.ssrn.com
November 14, 2025 at 2:15 PM
Isn't the colors on the housing part wrong? The Haig-Simons should be light?
June 4, 2025 at 8:43 PM
Absolutely! Getting at the total welfare effects, including increased demand for workers, changing ameneties etc. is really complicated. But the benefit likely differs. Even if the total effect of Airbnb is positive, the effect on those struggling with housing costs might be negative.
May 20, 2025 at 2:10 PM
Allowing more housing to be build is the most important solution, by all means.
But there is also convincing research that Airbnb can cause significant increases in housing prices and rents for cities with large tourist demand, like Barcelona. www.sciencedirect.com/science/arti...
Do short-term rental platforms affect housing markets? Evidence from Airbnb in Barcelona
In this paper, we assess the impact of Airbnb on housing rents and prices in the city of Barcelona. Examining very detailed data on rents and both tra…
www.sciencedirect.com
May 20, 2025 at 1:50 PM
The dataset described here (on Norwegian residential housing auctions) is very nice, though unfortunately not publicly available.
housinglab.oslomet.no/wp-content/u...
April 16, 2025 at 9:34 AM
I wonder here about the construction outcome: % growth in housing. Is it a good supply measure?

Imagine City A has high regulation, B low. Both have 100 inhabitants, but A has 80 houses while B has 100.
Following an inflow of 10, A builds 8 houses, B 10. Same % increase, but not similar results.
March 24, 2025 at 12:03 PM
I have a recent WP with colleagues about how that is done in Norway.
bsky.app/profile/erle...
New working paper with two colleagues (Nygård & Thoresen). We look at how to value residential property for tax purposes.
There are several different taxes on residential property. Mostly, authorities want tax valuations to reflect market value of the property. 1/5 www.ssb.no/en/priser-og...
March 20, 2025 at 9:48 PM
That's interesting. I do however think that the capacity for implementing such a tax (particularly the valuation) has increased since the early 20th century. Though the political pressure to attach loopholes is of course still there.
March 18, 2025 at 12:53 PM
While Norway has few inhabitants, it has a lot of variation both in geographic features and in density of housing. The simple model has a reasonabe fit even in rural areas with few transactions. In more densely populated countries, a similar model would likely have an even better fit. 5/5
January 27, 2025 at 8:46 PM
The existing system in Norway functions quite well. It is not very data intensive, though does require digitalization of property register and transaction data.
We also present an improved system which better utilizes available geographic information. 4/5
January 27, 2025 at 8:46 PM
We’re arguing that a simple, hedonic regression based system, as existing in Norway, can be accurate and cost-effective. An automatic system also avoids assessors corrupting the process for their own ends. 3/5 bsky.app/profile/nber...
nber.org NBER @nber.org · Dec 15
Local tax assessors appear to tactically assess their own and others' homes to reduce their tax burden, and buoy local finances at times of need, from Huaizhi Chen and Lauren Cohen https://www.nber.org/papers/w33238
January 27, 2025 at 8:46 PM