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Behavioral eco-lect 4: Choice under risk and uncertainty part 1 (Structure…
Behavioral eco-lect 4: Choice under risk and uncertainty part 1
3 puzzling phenomena
Equity premium puzzle
: “stocks have outperformed bonds over the last century by a surprisingly large margin”
House money effect
: a prior gain can increase the willingness to take risks
End-of-the-day-effect
: in racetrack betting people are more willing to bet on longshots at the end than at the start of the betting day.
Risk and uncertainty
Uncertainty:
probabilities are not known
Risk:
probabilities are known
Acts and lotteries
Act
: Specifies the outcome for each state of the world. A=(S1:C1,...,Sn:Cn) gives outcome Ci in state Si
Example: in the umbrella example you choose between two acts - taking or leaving the umbrella.
Under risk, when probabilities are known we can also write the probabilities instead of the states of the world:
Lottery / prospect
: specifies the outcome for each probability
L = (p1: C1, … , pn: Cn) gives outcome Ci with probability pi
Choice under risk
: expected utility
Consider lottery L = (p1: C1, … , pn: Cn)
Expected value
: EV(L) = p1C1 + … + pnCn = ∑i=
example
Structure
Choice under risk – violations of expected utility
Choice under uncertainty – a few simple models
Choice under risk – expected utility
Choice under uncertainty – violations of expected utility
Risk and uncertainty
Diminishing sensitivity and mental accounting
Choice under risk
: expected utility cont.
St Petersburg paradox
Consider game:fair coin tosses repeatedly until we obtain heads. If it takes n tosses yo earn $2
Question: How much are you willing to pay to play this game?
Question: What is the expected value of this game?
EV = ½ x 2 + ¼ x4 + …. = an infinite amount
→ An EV maximizer would be willing to pay a very large amount
Conclusion: most people are no EV maximizers.