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Archive for the ‘mere empirics’ Category

a whole pile of piketty

Econlog collects a few links:

Bon appetit.

50+ chapters of grad skool advice goodness: Grad Skool Rulz/From Black Power

 

Written by fabiorojas

September 26, 2014 at 12:02 am

sample computer science/sociology syllabus

Loyal orgtheorista and sociologist Amy Binder has forwarded me this course syllabus for a course at UC San Diego. It is called Soc 211 Computational Methods in Social Science and was taught by Edward Hunter and Akos Rona-­Tas. The authors are working on a textbook, the course was made open to a wide range of students, a and it was supported by the Dean at UCSD. I heard people had a nerdy good time. Click here to read  the soc211_syllabus.

50+ chapters of grad skool advice goodness: Grad Skool Rulz/From Black Power

Written by fabiorojas

September 23, 2014 at 12:01 am

high status policy research is often not the best policy research

At Overcoming Bias, Robin Hanson observes that his fellow economists don’t always focus on the policies that have broad consensus, are easy to understand, and easy to implement. He uses the example of road pricing:

Heavy traffic is a problem every economist in the world knows how to solve: price road access, and charge high prices during rush hour. With technologies like E-ZPass and mobile apps, it’s easier than ever. That we don’t pick this low-hanging fruit is a pretty serious indictment of public policy. If we can’t address what is literally a principles-level textbook example of a negative spillover with a fairly easy fix, what hope do we have for effective public policy on other margins?

 

I agree. Think about status in economics – what sorts of work gets you the rewards? For a while, it was really, really hard math. Also, macro-economics, which is a notoriously hard field. Recently, insanely clever identification work. What do these have in common? They are hard. In contrast, how many Bates or Nobel prizes have been awarded for simple, high impact work, like road pricing? Nearly zero is my guess.

The same is true in sociology. Sociologists often imagine themselves coming up with marvelous approaches to solving deeply rooted social inequalities. For example, a few months ago, we discussed research on gender inequality and how it might be explained, partially, by the relative over- or under-confidence of men and women. In other words, it might be that women are overly cautious in terms of promotions.

One simple solution would be to require all eligible people to apply for promotions (e.g., require that all associate profs apply for full professorship after a few years). It is a simple rule and would almost certainly help. The response in the comments? The solution doesn’t remedy gender prejudice. Well, of course not, but that wasn’t the point. The point was to fix a specific issue – under representation of women in applicant pools. I have no idea how to eliminate the bias against women, but I can make sure they get promoted at work often – and it’s easy!

Bottom line: Social scientists have their priorities reversed. They get rewarded for trying to solve insanely hard problems, while leaving a lot of simple problems alone. That’s leaving cash on the table.

50+ chapters of grad skool advice goodness: Grad Skool Rulz/From Black Power

Written by fabiorojas

September 16, 2014 at 12:01 am

new computational sociology opportunity at facebook

Facebook has a new fellowship for PhD students. $37k, tuition/fee support, and visits to FB HQ. It’s awesome. Check it out.

Thanks, Mark.

50+ chapters of grad skool advice goodness: Grad Skool Rulz/From Black Power

Written by fabiorojas

September 10, 2014 at 12:01 am

urban police puzzle and ethnographic method

A few days ago, we discussed an empirical issue around Goffman’s On the Run ethnography. That work focuses on how police intervention cripples poor Black men. The issue is that other ethnography reports an under policing of poor Black neighborhoods. Earlier, I suggested a voter driven explanation – voters like to see young Black men arrested on drug charges and reward police for it.

Here, I’d like to raise a methodological issue. Goffman’s ethnography is not typical in the sense of studying a field site like a firm or a neighborhood. Rather, the ethnography is a study of a cohort of people. You follow them around. That is different than field site ethnography where you choose a location and focus on the action happening in a space. People come in and out. So it is not surprising that if you stand on a modal street corner in Philly, you won’t see many cops walk by. In contrast, if you follow people who are the target of police, then you will, not surprisingly, see a lot of police.

50+ chapters of grad skool advice goodness: Grad Skool Rulz/From Black Power 

Written by fabiorojas

September 4, 2014 at 12:01 am

how to hang out with computer scientists

I’ve recently argued that sociology has an amazing opportunity. The emergence of data science means that you should have people who really understand research design and social behavior. It doesn’t mean that sociology will automatically reap the benefits. Rather, we’ll have to work at it. My suggestions:

  • Sociology programs should now make basic programming a standard feature of the undergrad and graduate degree.
  • We have to have an internal discussion about the strengths and weaknesses of Internet generated data, much in the same way that there is a literature on the pros and cons of surveys, experiments, and ethnography.

We should also reach out to our colleagues:

  • Start cross-over workshops.
  • Reach out to faculty who already work with behavioral data by offering to help with grants
  • Personally, I’ve found it hard to work with CS graduate students. They have the normal level of grad student instability + six figure paychecks waiting for them outside of academia. But still, some are very curious, super smart, and willing to think about behavioral science.

The major barrier, in my view, is the differing publication style. CS happens very, very quickly – sometimes in a manner of weeks, while sociology is slow. We have to stop that.

50+ chapters of grad skool advice goodness: Grad Skool Rulz/From Black Power

Written by fabiorojas

August 8, 2014 at 12:01 am

Posted in fabio, mere empirics

data bleg: categorical data

Please put in the comments, or link to, a data set that has the following properties:

  1. A few hundred cases, but not too many ( 300 < N < 1000).
  2. Longitudinal categorical variable X with the following properties
  3. Categorical variable should NOT be ordered. States should be like {chocolate,vanilla, strawberry}, not {strong agree, neutral, strong disagree}.
  4. About 4-7 time periods.
  5. About 4-7 states that X can be in (e.g., five political parties, five ice cream flavors).
  6. “Legitimate data” – no one will bug me about using this data set. Decent response rate, nice set of covariates for X, data collected for a legitimate research project, etc.

This is for a methods project I’ve been working on. So I don’t need something fancy, just something that that has these specific properties to highlight the strengths of the method. Feel free to email me as well.

50+ chapters of grad skool advice goodness: Grad Skool Rulz/From Black Power

Written by fabiorojas

July 25, 2014 at 12:01 am

Posted in fabio, mere empirics

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