Difference between revisions of "McCarty.Credit"
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==In Plain English!== | ==In Plain English!== | ||
| + | This paper is easy to read. If you have time, glance it over as you are only responsible for the first 11 pages. | ||
| + | Basically, McCarthy is concerned that use of credit-based insurance scores disparately impacts certain classes of people thus has a discriminatory effect. He argues that even if a tool may show mathematical correlations with insurance claims, this does not necessarily make it fair and a valid criterion for insurance purposes. | ||
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Revision as of 16:15, 26 November 2018
Representing the NAIC, McCarty presented his views on the impact of credit-based insurance scoring on the availability and affordability of insurance. This reading is closely related to Kucera.Credit.
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BattleTable
Based on past exams, the main things you need to know (in rough order of importance) are:
reference part (a) part (b) part (c) part (d) part (e) (part f) E (2017.Fall #1) see Kucera.Credit credit scores:
- arguments againstsee Kucera.Credit E (2016.Spring #1) pros/cons for using CBIS ex and pros/cons E (2015.Fall #1) how are age groups impacted other groups being impacted how can a metric drive loss diff E (2014.Fall #2) Kucera-cost based cond when is ins equitable ex-is it equitable rtng variable-co financial stab IRIS ratio variable E (2014.Spring #5) see Kucera.Credit credit scores:
- arguments againstsee Kucera.Credit
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In Plain English!
This paper is easy to read. If you have time, glance it over as you are only responsible for the first 11 pages.
Basically, McCarthy is concerned that use of credit-based insurance scores disparately impacts certain classes of people thus has a discriminatory effect. He argues that even if a tool may show mathematical correlations with insurance claims, this does not necessarily make it fair and a valid criterion for insurance purposes.
Full BattleQuiz You must be logged in or this will not work.
BattleCodes
Memorize:
Conceptual:
Calculational:
