WEEK 6 - Uncertainty Flashcards
Why do we incorporate risk and uncertainty in models of choice?
can cause consumers and
firms to modify decisions about consumption and
investment choices
What is risk?
When the likelihood of each possible outcome is known or can be estimated and no single outcome is certain to occur
Estimates of how risky each outcome allows us to
estimate the most likely outcome.
How do you figure out what consumer’s would maximise given their choice?
The expected or mean value of the game
Same thing
How do we calculate the mean value of the game?
Use the Probability Concept
SEE EXAMPLE OF CALCULATING IN NOTES
What is Probability
A number between 0 and 1 that indicates the likelihood that a particular outcome will occur
How do we estimate probability?
With the frequency, the number of times that one particular outcome occurred (n) out of the
total number of times an event occurred (N).
θ = n/N
If we don’t have a history of the event how do we best calculate the probability/
Use our best estimate or Subjective Probability
What is a Probability Distribution?
Relates the probability of occurrence to each possible outcome
How do you calculate the expected value (EV)?
Value of each possible outcome (Vi) times the probability of that outcome (θi) summed over all n possible outcomes
SEE EXAMPLE IN NOTES
How do we use expected value to measure risk?
Use it in calculations for:
- Variance
- Standard Deviation
What is Variance?
Measure how much variation there is between the actual value and the expected value
(SEE FORMULA IN NOTES)
What is Standard Deviation?
The square root of the variance and is a more commonly reported measure of risk
EXAMPLE OF ASSESSING RISK
SEE IN NOTES
How do you analyse the expected utility?
Comparing the utility a person gets from all options
SEE IN NOTES FOR EXAMPLE
When does a person prefer a sure thing to a gamble even if the gamble has a higher EV?
When their utility function is concave, which means:
U’ > 0 and U’’ < 0