Here is a thread describing what we do and what we find:
@annesofieanker@r_landersoe Offender DNA databases are used around the world to catalog DNA profiles of people who have been convicted or arrested for particular crimes. (The details of who is included depend on state or national law.)
The goal is to identify repeat offenders if they commit a new crime — the DNA profiles are compared w DNA profiles from crime scenes. Any matches are sent to local police. This helps identify suspects in cases where the perpetrator wasn’t already on law enforcement’s radar.
This could have two effects: (1) It should increase the probability of getting caught for new crimes — a ‘detection effect.’ (2) When the probability of getting caught goes up, rational offenders should respond by committing fewer crimes — a ‘deterrence effect.’
Do we see these effects in practice? How large are they?
In 2005, Denmark expanded its database from including just a few, very serious offenders in a handful of cases to including everyone who was charged with the equivalent of a felony. We use this policy change as a natural experiment.
(Adding people arrested/charged for crimes, instead of waiting for a conviction, is the current policy frontier in U.S. states. So, the effect of this policy change is also relevant in the United States.)
Implementation was slightly delayed due to summer holidays (yes, police in Denmark take long summer vacations). But within a few months, the share of people charged w a crime who were added to the database went from 4% to 40% — a huge expansion of DNA profiling.
We use this big jump in the likelihood of being added to the database to measure the effect on recidivism, by essentially comparing similar people charged on either side of the policy reform date.
In more technical terms: We use being charged after the reform as an IV for being added to the database. (We drop those summer holiday months so this is essentially a donut RD.)
The punchline: Being added to the DNA database reduces the probability of a new conviction within the following year by 42%, and reduces the number of new convictions by 49%. These results remain large and statistically significant for at least 3 years after the initial charge.
Effects are large across many groups — first-time offenders, recidivists, violent offenders, property offenders — but are driven by young offenders (ages 18-23).
We ran a bunch of robustness tests. Two to highlight: Results are similar if we conduct a diff-in-diff analysis instead (comparing less-treated charges w more-treated charges). And if we repeat our main analysis using data from other ‘placebo’ years, we find precise zero effects.
Finally, we use rich admin data to consider non-crime outcomes. For young offenders, being added to the DNA database increased enrollment in education; for older offenders, it increased employment. There's less robust evidence of an increase in being married & living w kids.
We use the precise timing of offenses & charges to separate the detection & deterrent effects, & estimate an elasticity of crime with respect to the probability of getting caught: -2.7. This is a big effect but not implausible given previous work of the effect of police on crime.
Overall, we find that expanding Denmark's DNA database to include people charged with a felony had big public safety benefits. The financial costs of this technology are relatively low.
Relative to many other technologies used by police (cameras, GPS monitors), collecting saliva samples & using DNA to generate IDs seems pretty non-invasive to me, but others might disagree. (Privacy costs are tough to estimate -- a good topic for future work!)
One more thing: Many will read this & think expanding DNA databases implies expanding the reach of the CJ system. But I think it could do the opposite: DNA databases could help us *reduce* policing and mass incarceration, because they seem to deter crime so effectively.
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Another day, another highly-touted matched comparison group study with completely implausible and misleading “causal” findings. 🙄😫
It’s research malpractice, y’all.
Should I make this a thread of “what not to do” papers?
I’m gonna make this a thread. Please share it with your students as a cautionary tale: matching isn’t magic.
Another day, another highly-touted matched comparison group study with completely implausible and misleading “causal” findings. 🙄😫
@verainstitute just released this study of a college-in-prison education program in NY, funded by the Manhattan DA's Criminal Justice Investment Initiative. Researchers compared people who chose to enroll in the program with similar-looking people who chose not to. This does not isolate the treatment effect of the education program. It is very likely that those who enrolled were more motivated to change, and/or more able to focus on their goals. This pre-existing difference in motivation & focus likely caused both the difference in enrollment in the program and the subsequent difference in recidivism across groups.
This report provides no useful information about whether this NY program is having beneficial effects.
Yes, employment rates for people with criminal records are extremely low. But this group was employed at low rates *even before* they were convicted of a crime.
https://t.co/kHiEfUOpLDirs.gov/pub/irs-soi/22…
So, while we know employers are reluctant to hire people w records, & that makes the problem worse, other forms of disadvantage (poverty, low education, untreated mental illness, substance use, emotional trauma) also play a role. We need to tackle those issues head-on!
I promised myself when I got my PhD that I was done paying my dues, and that from then on I would do work I found interesting and fulfilling. We invest for years in building skills & credentials but life is short - at some point you have to cash in and live the life you want.
I spent my 1st year as an asst prof making friends in my new city & building a strong support network. Spent my pre-tenure sabbatical year at a think tank learning how to write op-eds (& had fun in DC). Throughout, I was loud in faculty meetings & stood up for what I believed in.
Absolutely no regrets on any of the above. Especially in econ, there are a million jobs we could all do that are interesting & rewarding, in & out of academia. If you live the life you want and don't get tenure in a particular place, that just means you're not a good fit there!
#SEA2022 was very fun, but it was also a chance for many people to pull me aside and tell me stories about times they have been harassed or assaulted by fellow economists, or to ask me advice about what friends of theirs who were recently victimized can do. #EconMeToo
Two things:
1. It might seem that the public momentum for change has died down but I assure you there are lots of powerful people working behind the scenes right now to make change happen. I am in close contact w many of them. Send us your creative/crazy ideas! #EconMeToo
2. I continue to believe that journalists are our best allies. We need to publicly embarrass institutions that fail to protect students & employees. I have a list of reporters who are eager to investigate bad actors. Contact me for their info. #EconMeToo
False and defamatory claims about the AEA DeAngelo investigation are being circulated online by anonymous accounts.
If our institutions aren’t going to protect us, we have to protect ourselves. Time to set the record straight.
There was a Title IX complaint filed at CGU before the AEA complaint. This is the AEA investigative report’s summary of that Title IX complaint:
Although the AEA investigation was not as thorough as I had hoped, it is not true that it found “no victims, no witnesses.” Here are 3 findings from the AEA investigative report: