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expected value
sum of possible values Xi, weighted by their probabilities
E(X) = Σ pr(Xi) ⋅ Xi
cons of expected value measurement when making decisions
dosnt take into account people may have different attitudes toward risk
expected utility theory
E(U) = P1 U(X1) + P2 U(X2) + .... + Pn U(Xn)
utility must be cardinal
diminishing marginal utility
marginal utility falls as consumer consumes more
diminishing marginal utility of income
implies risk aversion, utility function is concave to origin, as income rises the marginal utility falls as wealthier value £1 less
what is the link between risk and inequality aversion
'the veil of ignorance' : if we were unsure about what life we would be born into then risk aversion would mean we would want a fair life for all
Rawlsian social welfare function
maximises welfare of the poorest person
types of risk preferences
1) fair gamble : expected value 0
2) risk averse : due to diminishing marginal utility of wealth
3) risk seeking : due to increase marginal utility of wealth
4) risk neutral : cte marginal utility of wealth
measures of risk aversion
coefficient of absolute risk aversion
coefficient of relative risk aversion
coefficient of absolute risk aversion
r(W) = U''(W) / U'(W)
for a risk averse U''(W)<0 so r(W)>0
coefficient of relative risk aversion
rr(W) = Wr(W) = -W ⋅ U''(W)/U'(W)
responses to risk
informal risk pooling
formal insurance
how does informal risk pooling work
law of large numbers, sharing risk amount more people means if the event happens independently, mean of X will approach population mean as sample size grows