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Economics of Insurance

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Utility with respect to asset values is the key to taking decisions about risky options ... Consciously or mistakenly misestimate probabilities. Have a LOSS FUNCTION ... – PowerPoint PPT presentation

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Title: Economics of Insurance


1
Economics of Insurance
Some important notes.
2
4 Topics.
Utility Functions
Calculating Ceftainty Equivalents
Insurable Risks
An Alternative View.
3
Utility Functions.
Utility with respect to asset values is the key
to taking decisions about risky options
We have used two type of function
Where a is between 0 and 1
U Xa
U log X
Both are RISK AVERSE functions.
4
We need to be able to work out the CERTAINTY
equivalent of a risky prospect
This will give us the MAXIMUM premium an
individual will pay to insure against a bad event
It will also give the maximum PREMIUM RATE an
individual will find acceptable
5
For a risk to be insurable it must be
profitable to insure
poolable
no moral hazard
measurable
low probability
6
KAhneman and Tversky
Want nto replace utioity maximising hypothesis
with
BEHAVIOURAL theories of choice
7
They think that people behave
In CONTEXT they have a frame or norm from which
they make judgements
Tend to favour the STATUS QUO
Are LOSS averters, not simple risk averters
Have a LOSS FUNCTION
Consciously or mistakenly misestimate
probabilities
Have a probability weighting function
Loss function is CONCAVE from below.
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