Harford's "Logic of Life" on "Rational Racism"

Without a doubt, one of the most fascinating and disheartening chapters in The Logic of Life is chapter 6 on "Rational Racism".

A test was done at the University of VA. Students signed up and were paid to be part of the experiment, which was done via a faceless web based interface. They were divided in two groups. Employers and Employees. The employees were randomly assigned colors: Green or Purple. The experiment was done in 3 phases.

First, the employees were asked to decide whether to spend a specified sum on an education, which would improve their chances on a test.

Then came the test, which, as it turns out, was a simple roll of the dice but a weighted roll which favored those who decided to spend on an education. Choosing not to invest in an education did not mean one would get a poor "score" but it did increase the chances while investing in an education improved one's chances of a good score.

Then came the hiring decision where each "employer" was presented two pieces of info on the employers: His test score and his color. The employers were then faced with a choice: Hiring a worker who had an education got him extra dollars and hiring one without an education got him docked dollars.

These three steps were done 20 times. Each round, employees had to weigh the cost and benefits of investing in an education against the potential pay off

As the rounds went on information started to accumulate and patterns began to emerge as the web interface revealed average scores and hiring rates of the two color groups. This was useful info because the employers were basically playing a game of odds and used the information they had to get the best possible odds of bonus cash. Likewise, employees had to weigh the cost and benefits of investing in an education against the potential pay off each round.

Results?

The first round was color blind since green or purple had no meaning. But from the second round on, employers had more info on color. As it turns out, more green students paid to get an education in the first round and this information started to emerge in the second round. Hiring rates were also available now by color. Remember, higher scores don't mean the employee had an education and since it was whether they had an education that got them paid, the employers started using the data to look for hints to get that pay off. On the other side, employees started to see whether gamble of an education was paying off...literally. Greens kept investing more and more since they had good hiring prospects. Purples did not. Why bother? It wasn't paying off. A vicious cycle ensued all the way to round 20.

After the experiment, the students all met face to face to discuss the results. Many employees (purple) were genuinely angry and frustrated when they confronted the employers. "Why wouldn't you hire me??" was a common question. The employers wouldn't hire them because they didn't invest and purples wouldn't invest because nobidy would hire them. The small hint of color from the first round, totally random, began to drive the logic of the gamble and rationally so.

The ;long and the short of it is that employers became "discriminatory" by color in a totally rational way...regardless of whether these college students thought of themselves as racist.

They chapter goes on to discuss this sad story in real life detail.

This is what Harford calls "Rational Racism".

Harford also recalls an experiment mentioned in "Freakonomics" where researchers sent out random resumes in the thousands with a varying quality with black and white sounding names. White names received 50% more call backs. Yes, better resumes got a lot more call backs...but only for whites! Blacks had a negligible difference.

Basically, there are two types of discrimination: Taste-Based (Bigotry) and Statistical (Rational Racism). Harford contends that statistical discrimination, while less repulsive on a moral level, it is far more dangerous and harder to correct because it pays off...unlike simplistic Bigotry...which could eventually harm the employers. Regardless, it could take time and still harmful.

Well this is a set up of the chapter. Which goes on into much more detail and examples examining statistics on slower progression through school even though the gap at the Kindergarten level is mainly social due to a higher probability of coming from harder up-bringings. He also devotes time to the idea acting white brought up by Obama at the 2004 convention, which contends that African American culture and social incentives have more to do with the continued gap than outright discrimination from whites. Harford goes on to cite further studies that give weight to this idea by conducting Q&A experiments with students. In short, unlike with whites, popular black students did not get a bump because of better school grades. In fact, more popular black students tended to have mediocre or low test scores. Black students with better test scores get mistrust from their peers since it shows a sign of wanting to leave the group.

He cites the idea that receptionist at an Ad firm hurts his/her chances of advancement within the firm if becomes known that secretary is taking night classes to get a better career in say, LAW. The boss may pass over the secretary since the boss does not trust the prospects of the receptionist staying with the firm. Why bother? Hmmm...being stigmatized for wanting to do better.

In short, we need to change the incentives of blacks who are stuck in this vicious cycle.

Explosive stuff. But sad.

Here, I pass off to Marginal Revolution , which is doing a book forum on the book. Bryan Caplan is the guest contributor for this chapter....and he tends to disagree somewhat with Harford on some of his conclusions ....strangely enough.

Great Stuff and very though provoking.

I welcome your comments.

UPDATE: Tim Harford replies to Caplan.

Comments :

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The comments in your link to the MR post on Caplan's response

make some good points, I thought.

Greens kept investing more and more since they had good hiring prospects. Purples did not. Why bother? It wasn't paying off. A vicious cycle ensued all the way to round 20.
This vicious cycle is exactly the problem. I see two avenues of attack: (1) convince disenchanted purples that investing in education will pay off by providing a structure that offers unbiased rewards for that investment, and (2) convince employers that their company can do better by avoiding crude categorizations based on color and instead utilizing metrics better correlated with future success. In this example the only real information employers have is color, but in real life they can and should look deeper.

What doesn't work because it requires people to behave illogically (at least in the short term): (a) telling purples to invest when the deck is already stacked against them, absent any other reforms, and (b) telling employers to hire purples regardless of their scores, absent any other reforms.

Thought provoking indeed.

Come, my friends. 'Tis not too late to seek a newer world -- Tennyson

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Are you talking about the comment thread at MR?

Yeah, that site has a lot of really astute posters. I learn as much from the comment threads as I do from the posts!

As for your choices, it kind of falls in line with some of Harford's ideas on helping this matter. We need better incentives for blacks to overcome the incentive to stay back because of social pressures. I think giving blacks the incentives more than the employers is easier.

Harford also suggests affirmative action...but not just for its own sake. It should be smart affirmative action that rewards for hard work and achievement and not just being black. This is the problem with some forms of AA or quotas. They don't encourage effort. It's just about color.

It's a tough topic to discuss dispassionately. I'm glad Harford took stab at it. Best stuff I've on the matter since Freakonomics.

Glad you liked it.

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competition within group

"It should be smart affirmative action that rewards for hard work and achievement and not just being black." 

It seems to me that an affirmative action program would be effective as long as there is competition within the group. The targeted minority applicants should not have a higher rate of acceptance than the population at large.

In my expert opinion, you should do what I tell you to do.

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indeed,

Of course, this whole process is not as simple as it seems.

Harford thinks there is a place for AA in devising the proper incentives but doesn't feel it would work JUST BECAUSE it's AA. He warns against giving underqualified blacks positions over whites because it doesn't create the right incentives to truly excel.

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Accurate testing, accurate rewards

I see two variables that I susepect have a strong impact on this simulation/experiment: the accuracy of the test and the connection between productivity and reward.

 First, consider the imperfections from the employers side: If the test score provided perfect information regarding the trait of interest (productivity/education), then skin color would be irrelevant, and this whole dynamic would break down.

Second, consider the imperfections from the employee's side: If the employee's prospects were solely based upon whether he had invested in himself, then all of them would have an incentive to invest, and the cycle would break down.

So basically the problem arises from the fact that the employer's welfare is determined by the behavior of the employees whom he chooses to hire, but he has imperfect information about their behavior. Conversely, the employees take a very passive role in all of this, and their welfare is determined solely by the decisions of the employers. 

 

In my expert opinion, you should do what I tell you to do.

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Imperfect information is huge

Harford uses the word "asymmetry" when discussing the results. But the asymmetry is more important in the beginning. After patterns emerge from the asymmetry, it takes on a life of its own.

But, I think is larger point is that, just like the test simulated, people look for patterns to judge pay offs and risk. The problem of race is that it's a self-reinforcing problem....but totally rational when we look at the underlying causes of statistical discrimination.

It's a tough nut to crack.

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Do read Capan's Post.

It's very good and worthwhile. I just read it again. It's even more worth reading than I originally thought.

The link can be found in the MR link.

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Caplan's post is annoying

Caplan made four points, and two of them were totally worthless.

The primary problem was in his third section. This section contained his most interesting claim ("Blacks actually get a substantially larger return to education than non-blacks! "), but this claim had absolutely no explanation. He doesn't even provide a sentence describing this. And he can't claim that the description is too complicated to include in a blog post, because every researcher should know how to summarize a study into a single paragraph (called an abstract in academic publications). As a result, this bold assertion is totally meaningless to me.

I was also annoyed that he opened his critique with some ridiculous caricature of political correctness ("But the idea that racial groups have different average levels of performance is so objectionable"). This idea is not objectionable at all...it's practically common knowledge! On top of that, the claim that blacks have a lower average job performance than other groups is even consistent with Black Supremacist ideology--as long as the low job performance is explained by a lack of access to resources (such as education).

 His other claims were mildly interesting.

In my expert opinion, you should do what I tell you to do.

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Racism, and Gender

Nice diary. I confess I have not read all the links but the synopsis is excellent. Two comments:

I really appreciate that someone is drawing the distinction between rational discrimination (which is what this study really uncovered) versus race-based, or even trait-based, bigotry. Folks tend to lump the two together too often. I seem to see a lot of this lately in the immigration debates: the automatic assumption is "you just hate brown people." DailyKos being a prime example of this confusion -- seems like any mention of illegal immigration gets this judgment. It really stifles discussion.

Second, was this study undertaken solely with male names? And did any of you reading this diary take the logical step and ponder how it applies to gender relations as well?

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thanks, PF

actually, the resume research was done with both genders.

Harford covers gender in the chapter as well. I forget the specifics but neither issue was affected on the basis of gender...at least not in the same way. Females are not affected into acted a certain way that holds them back.

I can't provide the link right now (iPhone) but Caplan covers this matter with another article today at EconLog.

Check it out. Though you really should read the other links.:)

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