When we left off, we were talking about what happened when states try to improve governing in underserved neighborhoods. Here's a "caravana" they held in each neighborhood, alongside the liaisons, where all agencies comes out to the sector.
After two years of intense state governance, relative state went down!!
Note: when we launched this with the city, we expected crowding out, and never expected the "crowding in" effect to dominate.
Now, to be clear, we don't see clear evidence of a rise in absolute levels of combo rule. There are some signs that the state struggled to deliver, and that decreased people's happiness with the state. But even where it worked well: no evidence of crowding out!
We draw a few lessons from this. A big one is that gangs and gang rule don't emerge from state weakness. They can emerge from state strength. After all, the state is what makes something illegal, creates a space for gang profits. And the state compels gangs to seek loyalty.
Another is that these illicit economies and criminal rents are the big driver of gang strength. If you try to tackle something like gang rule without tackling rents, you can expect unexpected consequences.
The peril is that tackling rents can be destabilizing. Sometimes violent. Even if we were naive to start with, that's what made us so excited about the liaison intervention--it was peace enhancing. But there is no free lunch!
This goes to show how countering organized crime is really complicated. You have to understand the system better. We thought we did. We talked to them for years! But clearly policy experimentation is part of the learning process.
These data and models have given us new ideas for policy. Tackling rents is one. But there may be other pressure points, such as changing community norms, so that civilians are less likely to grant loyalty to the gangs, Delegitimize them. To be seen...
Also, a methods lesson: The economics-poli sci-ethnographer teamwork was key. The combo of rigorous qualitative and quantitative methods is what made this project for us. Economists do lots of bad qualitative work, the equivalent of unidentified regressions. We can do better.
Also, for the curious, see the paper for THE most comprehensive & exhaustive human subjects precautions I've ever taken (and I've done some). Everything from presenting to the IRB committee in person (a first) and involving justice minister, head of prison system, Mayor...
Here's a story of unintended consequences, of academic theories and government policy gone wrong, of how damn hard it is to tackle organized crime, and of insights into what criminal organizations really want and do.
First thing you need to know: Every low and middle income neighborhood in the city has a neighborhood gang called a combo. We did a census of them. Here's how it looks. Every square inch is claimed by one combo or another.
This is valuable territory. There's a healthy retail drug market. They make and collect loans. Some even run local monopolies on staples like arepas, eggs, yogurt, and cooking gas in neighborhoods like this.
it’s great that economists do lots of field work and interviews now. But think of the absolute sloppiest, terrible causal inference paper you can remember, from someone who doesn’t even know that they don’t know what they’re doing.
OK who wants a thread on why gangs rule? Not why gangs are great. I mean, when and how do they govern civilians.
Here we are meeting one gang leader who, besides running the drug trade, has built this crafts school behind him, a recycling center, and a community pool.
This isn't a slum. It's a middle income neighborhood in Medellin, Colombia. Nearly every low- and middle income neighborhood in the city has a resident gang called a combo.
We spent 4 years interviewing dozens of members and leaders of 31 criminal groups.
Here's a map of the city. We also surveyed 7000 people on what services state and combos provide. Medium & dark red indicate a combo intervenes in disputes, crime, and disorder more than the state.
As the school year kicks off & grad students start signing up to see profs, here are some thoughts about planning your research.
To me, the 2 questions PhD students ought to ask themselves:
1. How will this research change people's beliefs? 2. Who are those people?
These are probably the two questions I ask students again and again, and it leads to better research.
This is certainly true with empirical research. Students are consumed with credible causality. So they get really excited when they think about a way to identify something.
But often, others already buy their hypothesis. So the study is unlikely to change beliefs. Sure we might learn something from checking. But a study, or at least a dissertation, needs to have a big ex-ante capacity to surprise us or change our minds about something important.
I think @tage_rai has made good points here about money and bias in the open science movement, and got a lot of hostile pile on this weekend. But in fairness I think it's also important to not lose some of the more principled concerns I saw some people raise.
A great thing about a powerful editor speaking freely on Twitter is that it creates some transparency. And many (like me) are happy to see some changes: openness to accepting papers that have already circulated/gotten media coverage, and plain speaking on bias in the profession.
On the open science question, looming in the background (for me) is that for a long time (before @tage_rai, before Gilbert) top journals (Science included) have had a reputation for sensation-seeking.
Everyone should read this social science replication commentary. Extremely interesting. Note that it doesn’t actually replicate anything (yet). It just predicts what papers are suspect based on some basic indicators of quality. Still, there is much to learn from + say about this.
A few thoughts. Economics comes out looking relatively good, but I enjoyed this observation: “A unique weakness of economics is the frequent use of absurd instrumental variables.”
I like an IV once in a while but I agree 90% are junk and we should probably stop.
On the huge number of self evidently crap studies, I recall how Lant Pritchett once said that research is like ballet. Every moment there are millions of kids doing terrible ballet all over the world. But all that is necessary to product the best people & performances.