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Singletary: Even machines are discriminating against black and Latino homebuyers

By Michelle Singletary
Published: November 21, 2018, 6:00am

When will discrimination die?

I keep hoping there will come a time when the color of my skin doesn’t dictate how I’m treated — especially as I shop for loans.

But that day has yet to come.

There is still a two-tier pricing system that penalizes blacks and Latinos who are creditworthy of better rates.

It happens with auto loans as well as mortgages.

But what if you took the human element out? Surely, minorities would get as good a deal as other borrowers with similar credit histories with a supposedly race-neutral automated application system, right?

No. Even with automation, mortgage bias exists, according to recent findings by researchers at University of California, Berkeley.

The Berkeley study looked at 30-year, fixed-rate, single-family residential loans issued from 2008 to 2015 and guaranteed by Fannie Mae and Freddie Mac. It found that — whether they apply for a mortgage loan face-to-face or online — blacks and Latinos are charged 5.6 to 8.6 basis points higher than white borrowers with comparable credit history. The extra mortgage interest is costing minority borrowers $250,000 to $500,000 more per year.

“Algorithms have not removed discrimination, but may have shifted the mode,” the researchers wrote.

When refinancing, minorities pay 1 to 3 basis points more. Interest-rate discrimination can boost lender profits 11 percent to 17 percent per loan.

So, how can a machine discriminate?

It’s all about the formulas fed into the algorithms, the researchers conclude.

“With algorithmic credit scoring, the nature of discrimination changes from being primarily concerned with human biases … to being primarily concerned with illegitimate applications of statistical discrimination,” the researchers wrote.

By law, lenders can’t discriminate based on race. They can however price loans based on credit risk. With an online application, the algorithms may be categorizing borrowers based on behavioral ethnic or demographics profiling, the researchers said.

“Even if the people writing the algorithms intend to create a fair system, their programming is having a disparate impact on minority borrowers,” said study co-author Adair Morse, a finance professor at UC Berkeley’s Haas School of Business.

Here’s a key point the study made: Statistical discrimination could be occurring because minority borrowers are less likely to rate shop.

However, it’s not just minorities who don’t shop around for mortgage rates. Nearly half of consumers don’t comparison shop for better rates before taking out a mortgage to buy or refinance a home, according to a study earlier this year by Freddie Mac.

On average, borrowers could save almost $1,500 over the life of the loan by getting one additional rate quote and about $3,000 for five quotes, Freddie Mac said. For minorities who are up-charged, the dollar savings would be even greater.

By the way, the scoring models are better now at allowing consumers to rate-shop for a single loan. For its newest versions, FICO says all inquiries done within a 45-day window for auto, mortgage or student loans are treated as a single credit inquiry.

It’s also easier than ever to check your credit score. If you have a credit card, your issuer likely offers a free credit score. If not, you can get a free score from Discover at creditscorecard.com. You can also get free scores from these two sites: creditkarma.com and freecreditscore.com.

Since bias still exists, decrease the likelihood that you’ll be discriminated against by shopping around and being better informed about your creditworthiness.

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