Later On

A blog written for those whose interests more or less match mine.

The Car Insurance Industry Attacks ProPublica’s Story. Here’s their Response.

with 2 comments

ProPublica writes:

Earlier this week, we published an investigation with Consumer Reports in which we found that many minority neighborhoods pay higher car insurance premiums than white areas with the same risk. Our findings were based on analysis of insurance premiums and payouts in California, Illinois, Texas and Missouri. We found insurers such as Allstate, Geico and Liberty Mutual were charging premiums that were as much as 30 percent higher in zip codes where most residents are minorities than in whiter neighborhoods with similar accident costs. (Here are details on how we did the analysis.)

An industry trade group, the Insurance Information Institute, responded in the Insurance Journal. The piece, by James Lynch, vice president of research and information services, calls our article “inaccurate, unfair, and irresponsible.” We disagree. As we typically do with our reporting, we contacted the industry well ahead of publication and gave it an opportunity to review our data and methodology and respond to our findings.

Here is the response we and Consumer Reports sent to the Insurance Journal.


While we appreciate that Mr. Lynch and the industry may disagree with our findings and conclusions, we want to correct for readers several errors he made in describing our work. In fact, we released a detailed methodology of our study, primarily to be as transparent and forthright as possible about what we did and did not do, and about the limitations of our analysis.

Mr. Lynch writes that we concluded that “auto insurers charge unfairly high rates to people in minority and low-income communities.” In fact, we found that the disparities were not limited to low-income communities and persist even in affluent minority neighborhoods.

Mr. Lynch writes that we made a mistake by “comparing the losses of all drivers within a ZIP code to the premium charged to a single person.” This assertion does not properly characterize what we did. We compared the average premium in minority zip codes to the average premium in neighborhoods with similar accident costs and a higher proportion of white residents.

Mr. Lynch writes that insurance companies do not set rates based on race or income. Our article does not say that they do. However, as our article pointed out, companies can use such criteria as credit score and occupation, which have been shown to result in higher prices for minorities.

Mr. Lynch writes that we did not address “how auto insurers priced policies where data about the policyholders and a ZIP code’s loss costs was thin.” In fact, we analyzed in detail California’s system of allowing insurers to set rates for sparsely populated rural areas by considering risk in contiguous zip codes.

Mr. Lynch writes that we do not consider that “an auto insurer’s individual loss costs … could vary from the statewide average.” In fact, we acknowledged this point in our article as a potential limitation of our study, while noting that the internal data of one insurance company, Nationwide, showed a greater disparity than the statewide average.

Mr. Lynch also implies we only applied our analysis to a 30-year-old driver. As we acknowledged in our methodology, we could not take every variable into account. We did repeat our analysis for more than 40 driver profiles that differed by age, gender, number of drivers and number of cars. When we ran the numbers, we found consistent results.

Our methodology was developed over more than a year and reviewed by a variety of independent experts in the field (including academics, statisticians and former regulators), whose feedback we incorporated. We were transparent with the Insurance Information Institute and with the firm the trade group hired, providing all our data and even our code to ensure they could fairly respond.

We would welcome the same transparency in return. While the industry criticizes ProPublica and Consumer Reports for not using company-specific data, such as individual insurers’ losses in each zip code, it does not make this information available. If the industry would release it, we would welcome the opportunity to take a look and continue the conversation.

Written by LeisureGuy

7 April 2017 at 2:15 pm

Posted in Business, Daily life

2 Responses

Subscribe to comments with RSS.

  1. Insurance companies don’t just use zip code and type of car. They also use credit score, income, occupation…etc… and a whole host of other inputs to calculate insurance premium that their model doesn’t account for is all these other inputs that build the overall profile of risk.

    For example: if I’m a 30 year old/woman/good driver who lives in a “white” neighborhood, then sure, my rates might be higher given their model. But what if I also make $20,000 a year, have a sub-400 credit score and work in a coal mine (highly risky job), what happens then? There model doesn’t account for that, but these insurance policies do. If you know anything about insurance you’d know that my premium would still be through the roof.

    These writers had access to a few data points and tried to make a story out of it. But to miss the whole picture is a bit irresponsible.

    Justin

    30 May 2017 at 6:28 pm

  2. I understand. If you read the article, though, you’ll see that drivers in minority neighborhoods pay a higher insurance rate than drivers in white neighborhoods who have the same risk.

    LeisureGuy

    30 May 2017 at 6:34 pm


Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s