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Airbnb raises violent crime rates in cities as residents are pushed out

euronews.com

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Re: Airbnb raises violent crime rates in cities as residents are pushed out

#3
The article doesn't mention it - and I can't find it anywhere - but in any neighborhood what is the highest proportion of units that are short-term rentals. Five percent? Ten percent in the super touristy areas? I have no idea and even before the other flaws in the study I am skeptical than anything short of 20% would make an impact on any major attribute of an area.

I see one stat in the paper that "40% of buildings had airbnb listings in some tracts" but if the buildings had 10 units in them each this still may mean a relatively small number of total listings were from Airbnbs. In fact, even in Boston there are some tracts where I suppose that the average building must have 30+ units which would meant that if 60% of buildings had no listing the total percentage of listings that are Airbnbs is relatively small.

>higher levels of violent crime did not appear immediately after Airbnb listings became available to tourists, but rather developed over the course of several years, the researchers said.

Alternative theory. Every area had some Airbnbs. In neighborhoods that were being wealthier/more popular/had more jobs decided it was easier to just do long-term rentals. In areas where landlords had trouble renting them out to anyone long-term (because locals know if a neighborhood is nice or not) they turned more units into Airbnbs because outsiders don't know/don't care.

Re: Airbnb raises violent crime rates in cities as residents are pushed out

#5

Researchers find correlation assume causation...

  We use difference-in-difference models (Eq (1)) to test whether a rise in the prevalence of Airbnb in a census tract in one year predicts increases in crime and disorder in the following year.
  ...
  The models control for tract-level and year fixed effects. In order to make the parameter estimates that follow more interpretable, we note that the average census tract in the average year experienced 11.32 events of private conflict, 7.68 events of public social disorder, and 28.58 events of public violence per 1,000 residents.
https://journals.plos.org/plosone/article?id=10.1371%2Fjourn...

I've not dug into the study enough to vouch for its quality as a whole - but it's clear the researchers are plenty aware of the differences between correlation and causation and are at least attempting to address them. This is actually often the case with scientific papers, even if it's lost in the media coverage of them.

Re: Airbnb raises violent crime rates in cities as residents are pushed out

#7
post #5

Researchers find correlation assume causation...

We use difference-in-difference models (Eq (1)) to test whether a rise in the prevalence of Airbnb in a census tract in one year predicts increases in crime and disorder in the following year. ... The models control for tract-level and year fixed effects. In order to make the parameter estimates that follow more interpretable, we note that the average census tract in the average year experienced 11.32 events of priva…

Not really. The article cites wild speculation made by the study authors:

"The large-scale conversion of housing units into short-term rentals undermines a neighborhood’s social organization, and in turn its natural ability...to counteract and discourage crime,"

and the research reeks of p-hacking and non-reproducibility:

Spain:

  >"It encourages the concentration of tourists who, due to their characteristics, are suitable targets for victimisation," Maldonado-Guzmán said.

but in Boston:

> The researchers found that there was a positive correlation between higher penetration of Airbnb properties in an area – for example buildings containing multiple Airbnb lets – and a rise in violence. However, crime types associated with rowdy visitors, like drunkenness and noise complaints, as well as private conflicts, did not increase.

> "It's not the number of Airbnb tourists who stay in a neighborhood that causes an increase in criminal activities," said Professor Babak Heydari from Northeastern University.

Re: Airbnb raises violent crime rates in cities as residents are pushed out

#9

The article doesn't mention it - and I can't find it anywhere - but in any neighborhood what is the highest proportion of units that are short-term rentals. Five percent? Ten percent in the super touristy areas? I have no idea and even before the other flaws in the study I am skeptical than anything short of 20% would make an impact on any major attribute of an area. I see one stat in the paper that "40% of buildings…

> but in any neighborhood what is the highest proportion of units that are short-term rentals.

I have seen areas close to 100%... in Hollywood, FL (not Airbnb though...)

Re: Airbnb raises violent crime rates in cities as residents are pushed out

#10
post #7
post #5

Earlier quoted context omitted.

We use difference-in-difference models (Eq (1)) to test whether a rise in the prevalence of Airbnb in a census tract in one year predicts increases in crime and disorder in the following year. ... The models control for tract-level and year fixed effects. In order to make the parameter estimates that follow more interpretable, we note that the average census tract in the average year experienced 11.32 events of priva…

Not really. The article cites wild speculation made by the study authors: "The large-scale conversion of housing units into short-term rentals undermines a neighborhood’s social organization, and in turn its natural ability...to counteract and discourage crime," and the research reeks of p-hacking and non-reproducibility: Spain: >"It encourages the concentration of tourists who, due to their characteristics, are suit…

Again, not vouching for the study as a whole - and agreed that scientists can get a bit "creative" when trying to actually describe and motivate causal mechanisms (in their defense, a very hard problem).

But I'm just talking about the statistics here, and specifically that saying "correlation is not causation" is a bit overused. Researchers know about it too, those four words don't magically dismiss all statistical studies. Most modern statistical approaches are explicitly built to try and help address these sorts of concerns.

There could well be other flaws with their statistics, and even if there is causation they could be failing at theoretically motivating or connecting it to their overall narrative. But it takes more than four words to make that case.

EDIT - just acknowledging that you've since edited your comment to add concerns about p-hacking and reproducibility. And that may be the case - but it wasn't what I was responding to in my initial comment.

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