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Discrimination study

By Andrew Leigh - posted Tuesday, 19 January 2010


A few words about each of the experiments.

The jobseeker study

There were several things that surprised me about the jobseeking experiment:

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  • Indigenous applicants seem to face less discrimination at the interview stage than Chinese or Middle Eastern applicants. To get the same number of interviews as an applicant with an Anglo-Saxon name, a Chinese applicant must submit 68% more applications, a Middle Eastern applicant must submit 64% more applications, an Indigenous applicant must submit 35% more applications, and an Italian applicant must submit 12% more applications.
     
  • Discrimination against Chinese and Middle Eastern jobseekers is highest in Sydney, and lowest in Brisbane. As a Sydneysider, this rather dispelled my notion of tolerant Sydney v redneck Brissie, but it’s entirely consistent with the literature on migration threat, which finds that an influx of migrants increases prejudice. In the long-term, Sydney may end up more tolerant, but the short-term effect of being the number one destination for immigrants is a rise in prejudice.
     
  • Even in data-entry jobs, there is substantial discrimination against non-Anglo applicants. This indicates that it can’t just be customer-based discrimination, but must be either driven by coworker or employer biases.

For some real-world evidence to back up the results of the first experiment, here’s a quote from one jobseeker:

“After completing TAFE in 2005 I applied for many junior positions where no experience in sales was needed - even though I had worked for two years as a junior sales clerk. I didn’t receive any calls so I decided to legally change my name to Gabriella Hannah. I applied for the same jobs and got a call 30 minutes later.” Gabriella Hannah, formerly Ragda Ali, Sydney

The chart below shows how Australian discrimination in 2007 compares with similar studies that have been done in other places and at other times. The way to read the vertical axis is that 1 means the minority candidate must submit just as many more applications to get the same number of interviews, 1.5 means the minority candidate must submit 50 per cent more applications to get the same number of interviews, and 2 means the minority candidate must submit twice as many applications to get the same number of interviews.

Figure1

So it’s worse to be Middle Eastern in Australia in 2007 than in Sweden in 2005, but it’s better to be Indigenous in Australia in 2007 than African-American in the US in 2001. Comparing our results with the 1986 study, it doesn’t look as though discrimination in Australia has fallen over time.

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The return to sender experiment

The second experiment was a return-to-sender experiment (a suggestion of my wife). By sending out mis-addressed letters to over 2,000 Australian households, we effectively give them two options: to return the letter (costly, but the right thing to do), or put it in the bin (cheap, but slightly naughty). On average, 53 per cent of letters with Anglo names were returned, but only 48-49 per cent of letters with Chinese, Italian or Middle-Eastern names. In other words, 1/20th of Australian households would return a letter if it had an Anglo name, but not if it bore a Chinese, Italian or Middle-Eastern name.

Figure1

The implicit association test

I’m particularly indebted to the blogosphere for help on the third experiment, which is an Implicit Association Test (anyone who is curious can still take it at iat.org.au). Among the bloggers who kindly directed readers towards the IAT were Larvatus Prodeo, Core Economics, Possum Pollytics, Andrew Norton, Ambit Gambit, Oz Politics, and Club Troppo.

Of course, those who read blogs aren’t a representative sample of Australians, so we reweighted the sample in two ways. The first is pretty standard - we just created demographic weights (making the age-sex-education-birthplace composition of the sample match the general population). But our second technique was more novel: we asked all IAT respondents some questions about their explicit prejudice, and then created prejudice weights, exploiting the fact that the same questions were asked of a nationally-representative sample of respondents in the 2007 Australian Survey of Social Attitudes. So far as we know, we’re the first to have combined implicit and explicit prejudice in this way.

And the results of the IAT? While some people are pro-minority, the average respondent showed a subconscious bias against each of the four minority groups. Here’s the distribution.

Figure1

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First published on Andrew Leigh's blog on June 17, 2009. Best Blogs 2009 is run in collaboration with Club Troppo.



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About the Author

Andrew Leigh is the member for Fraser (ACT). Prior to his election in 2010, he was a professor in the Research School of Economics at the Australian National University, and has previously worked as associate to Justice Michael Kirby of the High Court of Australia, a lawyer for Clifford Chance (London), and a researcher for the Progressive Policy Institute (Washington DC). He holds a PhD from Harvard University and has published three books and over 50 journal articles. His books include Disconnected (2010), Battlers and Billionaires (2013) and The Economics of Just About Everything (2014).

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