Such as what, advertising? Government still does adverting. Unless you outlaw other insurance companies it will still have to compete, thus advertise, but what else?That 'profit margin' comes ATOP spending that would not occur in a non-profit model.
Efficiencies can be gained by standardizing paperwork, policies, etc. The point is that profit isn't what's the problem.In the study linked a page or two back, proposed that there was an almost 50% reduction in private vs public models in Canada.
Of course not, since using other criteria produces a better predictive model, thus effectively sorts, or discriminates who is likely to have higher and lower claims.Driving records are great indicators as to likely claims makers. That is why the insurance sector uses them. That they want MORE criteria in which to further discriminate isn't surprising either.
It's all a matter of statistically probability. Your past driving record is no guarantee of your future record. Good drivers can get sloppy. Bad drivers can learn to be more careful. Or not. Your age is the same. If there is a statistical correlation, it is worthwhile to consider including in the model, to have better predictive ability, to thus more accurately price the premium.My argument is that my driving record is 'directly' related to my ability to avoid or cause an accident.
Already debunked. Past driving record does not perfectly predict future claims. You take the averages of people with 1 fender bender, for example. You then see how that group's claims add up in the next 12 months. You can then determine what the premium should be for new policies. Do the same for age, credit score, etc. In all cases you are using GROUP attributes and applying the statistically relevant factors to the individual. The principle is exactly the same.Using one to indirectly correlate to the other is NOT using individual merit to decide an outcome, but rather a group's attributes.
Last edited:
