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The authors acknowledge that house “quality” could be encoding other biases such as race, religion or class. It would have been great if the authors explored th
by jdavis703 7y ago
The authors acknowledge that house “quality” could be encoding other biases such as race, religion or class. It would have been great if the authors explored this a bit more. How closely did insurance risk correlate with the demographics they mentioned?
- joosters 7y agoHow would they obtain this information? The car insurance company (presumably) didn't have it, so the researchers would have to get in touch with each individual in their dataset and have an awkward conversation along the lines of "we're working with your car insurer, please tell us your race and religion". That's not going to go down very well...
- jdavis703 7y agoThey could use census block information. That’s generally higher resolution than zip code data.
- 8bitsrule 7y ago"... the average improvement of the Gini coefficient is nearly 2 percentage points (from 38.2% to 40.1%)." Break out the champagne!