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Decision theory under uncertainty

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Lot. A. Lot. B. A small game.... Lottery A: Get 3125 for sure (i.e. expected ... Lot A and Lot B have the same expected value but the individual prefers A ... – PowerPoint PPT presentation

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Title: Decision theory under uncertainty


1
  • Decision theory under uncertainty

2
Uncertainty
  • Consumer and firms are usually uncertain about
    the payoffs from their choices. Some examples
  • Example 1 A farmer chooses to cultivate either
    apples or pears
  • When he takes the decision, he is uncertain about
    the profits that he will obtain. He does not know
    which is the best choice
  • This will depend on rain conditions, plagues,
    world prices

3
Uncertainty
  • Example 2 playing with a fair die
  • We will win 2 if 1, 2, or 3,
  • We neither win nor lose if 4, or 5
  • We will lose 6 if 6
  • Lets write it on the blackboard
  • Example 3 Johns monthly consumption
  • 3000 if he does not get ill
  • 500 if he gets ill (so he cannot work)

4
Our objectives in this part
  • Study how economists make predictions about
    individuals or firms choices under uncertainty
  • Study the standard assumptions about attitudes
    towards risk

5
Economists jargon
  • Economists call a lottery a situation which
    involves uncertain payoffs
  • Cultivating apples is a lottery
  • Cultivating pears is another lottery
  • Playing with a fair die is another one
  • Monthly consumption
  • Each lottery will result in a prize

6
Probability
  • The probability of a repetitive event happening
    is the relative frequency with which it will
    occur
  • probability of obtaining a head on the fair-flip
    of a coin is 0.5
  • If a lottery offers n distinct prizes and the
    probabilities of winning the prizes are pi
    (i1,,n) then

7
An important concept Expected Value
  • The expected value of a lottery is the average of
    the prizes obtained if we play the same lottery
    many times
  • If we played 600 times the lottery in Example 2
  • We obtained a 1 100 times, a 2 100 times
  • We would win 2 300 times, win 0 200 times,
    and lose 6 100 times
  • Average prize(30022000-1006)/600
  • Average prize(1/2)2(1/3)0-(1/6)60
  • Notice, we have the probabilities of the prizes
    multiplied by the value of the prizes

8
Expected Value. Formal definition
  • For a lottery (X) with prizes x1,x2,,xn and the
    probabilities of winning p1,p2,pn, the expected
    value of the lottery is
  • The expected value is a weighted sum of the
    prizes
  • the weights the respective probabilities
  • The symbol for the expected value of X is E(X)

9
Expected Value of monthly consumption (Example 3)
  • Example 3 Johns monthly consumption
  • X14000 if he does not get ill
  • X2500 if he gets ill (so he cannot work)
  • Probability of illness 0.25
  • Consequently, probability of no
    illness1-0.250.75
  • The expected value is

10
Drawing the combinations of consumption with the
same expected value
  • Only possible if we have at most 2 possible
    states (e.g. ill or not ill as in Example 3)
  • Given the probability p1 then p21-p1
  • How can we graph the combinations of (X1,X2) with
    a expected value of, say, E?

11
Drawing the combinations of consumption with the
same expected value
  • The combinations of (X1,X2) with an expected
    value of, say, E?

12
Drawing the combinations of consumption with the
same expected value
X2
E/(1-p1)
Decreasing line with slope -p1/(1-p1)
X1
E/p1
13
Introducing another lottery in Johns example
  • Lottery A Get 3125 for sure independently of
    illness state (i.e. expected value 3125). This
    is a lottery without risk
  • Lottery B win 4000 with probability 0.75,
  • and lose 500 with probability
    0.25
  • (i.e. expected value also 3125)

14
Drawing the combinations of consumption with the
same expected value. Example 3
X2
Line of lotteries without risk
3125/0.25
Lot. A
3125
Decreasing line with slope -p1/(1-p1)
-0.75/0.25-3
Lot. B
500
X1
4000
3125
3125/0.75
15
A small game.
  • Lottery A Get 3125 for sure (i.e. expected
    value 3125)
  • Lottery B Get 4000 with probability 0.75, and
    Get 500 with probability 0.25 (i.e. expected
    value also 3125)
  • Which one would you choose?

16
Is the expected value a good criterion to decide
between lotteries?
  • One criterion to choose between two lotteries is
    to choose the one with a higher expected value
  • Does this criterion provide reasonable
    predictions? Lets examine a case
  • Lottery A Get 3125 for sure (i.e. expected
    value 3125)
  • Lottery B get 4000 with probability 0.75,
  • and get 500 with probability
    0.25
  • (i.e. expected value also 3125)
  • Probably most people will choose Lottery A
    because they dislike risk (risk averse)
  • However, according to the expected value
    criterion, both lotteries are equivalent. The
    expected value does not seem a good criterion for
    people that dislike risk
  • If someone is indifferent between A and B it is
    because risk is not important for him (risk
    neutral)

17
Expected utility The standard criterion to
choose among lotteries
  • Individuals do not care directly about the
    monetary values of the prizes
  • they care about the utility that the money
    provides
  • U(x) denotes the utility function for money
  • We will always assume that individuals prefer
    more money than less money, so

18
Expected utility The standard criterion to
choose among lotteries
  • The expected utility is computed in a similar way
    to the expected value
  • However, one does not average prizes (money) but
    the utility derived from the prizes
  • The formula of expected utility is
  • The individual will choose the lottery with the
    highest expected utility

19
Indifference curve
  • The indifference curve is the curve that gives us
    the combinations of consumption (i.e. x1 and x2)
    that provide the same level of Expected Utility

20
Drawing an indifference curve
  • Are indifference curves decreasing or increasing?

21
Drawing an indifference curve
  • Ok, we know that the indifference curve will be
    decreasing
  • We still do not know if they are convex or
    concave
  • For the time being, lets assume that they are
    convex
  • If we draw two indifferent curves, which one
    represents a higher level of utility?
  • The one that is more to the right

22
Drawing an indifference curve
X2
Line of lotteries without risk
Convex Indifference curvesImportant to
understand that EU1 lt EU2 lt EU3
EU3
EU2
EU1
X1
23
Indifference curve and risk aversion
Line of lotteries without risk
We had said that if the individual was risk
averse, he will prefer Lottery A to Lottery B.
These indifference curves belong to a risk
averse individual as the Lottery A is on an
indifference curve that is to the right of the
indifference curve on which Lottery B lies. Lot A
and Lot B have the same expected value but the
individual prefers A because he is risk averse
and A does not involve risk
X2
3125/0.25
Lot. A
3125
Lot. B
500
X1
4000
3125
3125/0.75
24
Indifference curves and risk aversion
  • We have just seen that if the indifference curves
    are convex then the individual is risk averse
  • Could a risk averse individual have concave
    indifference curves? No.

25
Does risk aversion imply anything about the sign
of U(x)
Convexity means that the second derivative is
positive In order for this second derivative to
be positive, we need that U(x)lt0 A risk averse
individual has utility function with U(x)lt0
26
What shape is the utility function of a risk
averse individual?
U(x)
Xmoney
  • U(x)gt0, increasing
  • U(x)lt0, concave

27
Examples of commonly used Utility functions for
risk averse individuals
28
Measuring Risk Aversion
  • The most commonly used risk aversion measure was
    developed by Pratt
  • For risk averse individuals, U(X) lt 0
  • r(X) will be positive for risk averse individuals

29
Risk Aversion
  • If utility is logarithmic in consumption
  • U(X) ln (X )
  • where Xgt 0
  • Pratts risk aversion measure is
  • Risk aversion decreases as wealth increases

30
Risk Aversion
  • If utility is exponential
  • U(X) -e-aX -exp (-aX)
  • where a is a positive constant
  • Pratts risk aversion measure is
  • Risk aversion is constant as wealth increases

31
Definition of certainty equivalent
  • The certainty equivalent of a lottery m, ce(m),
    leaves the individual indifferent between playing
    the lottery m or receiving ce(m) for certain.
  • In maths
  • U(ce(m))EU(m)

32
Definition of risk premium
  • Risk premium Em-ce(m)
  • The risk premium is the amount of money that a
    risk-averse person would sacrifice in order to
    eliminate the risk associated with a particular
    lottery.

33
Intuition of risk premium
  • Assume that an individual can play the same
    lottery m many times
  • However, instead of each time playing the
    lottery, the individual plays safe and gets the
    ce(m)
  • The risk premium is the money that eventually the
    individual is losing by playing safe instead of
    playing the lottery

34
Risk premium in finance
  • (just in case you feel curious)
  • In finance, the risk premium is the expected rate
    of return above the risk-free interest rate.

35
Lottery m. Prizes m1 and m2
U(.)
U(m2)
EU(m)
U(m1)
Risk premium
Money
m1
m2
ce(m)
Em
36
Willingness to Pay for Insurance
  • Consider a person with a current wealth of
    100,000 who faces a 25 chance of losing his
    automobile worth 20,000
  • Suppose also that the utility function is
  • U(X) ln (x)

37
Willingness to Pay for Insurance
  • The persons expected utility will be
  • E(U) 0.75U(100,000) 0.25U(80,000)
  • E(U) 0.75 ln(100,000) 0.25 ln(80,000)
  • E(U) 11.45714

38
Willingness to Pay for Insurance
  • The individual will likely be willing to pay more
    than 5,000 to avoid the gamble. How much will
    he pay?
  • E(U) U(100,000 - y) ln(100,000 - y)
    11.45714
  • 100,000 - y e11.45714
  • y 5,426
  • The maximum premium he is willing to pay is 5,426

39
Willingness to Pay for Insurance
  • The individual will likely be willing to pay more
    than 5,000 to avoid the gamble. How much will
    he pay?
  • E(U) U(100,000 - y) ln(100,000 - y)
    11.45714
  • 100,000 - y e11.45714
  • y 5,426
  • The maximum premium he is willing to pay is 5,426

40
Actuarially fair premium
  • If an agent buys an insurance policy at an
    actuarially fair premium then the insurance
    company will have zero expected profits (note
    marketing and administration expenses are not
    included in the computation of the actuarially
    fair premium)
  • Previous example computing the expected profit
    of the insurance company
  • EP0.75paf 0.25(paf-20,000)
  • Compute paf such that EP0. This is paf5000
  • Notice, the actuarially fair premium is smaller
    than the maximum premium that the individual is
    willing to pay (5426). This is a general
    results, risk averse individuals will be better
    off by if they are insured at the actuarially
    fair premium

41
Summary
  • The expected value is an adequate criterion to
    choose among lotteries if the individual is risk
    neutral
  • However, it is not adequate if the individual
    dislikes risk (risk averse)
  • If someone prefers to receive B rather than
    playing a lottery in which expected value is B
    then we say that the individual is risk averse
  • If U(x) is the utility function then we always
    assume that U(x)gt0
  • If an individual is risk averse then U(x)lt0,
    that is, the marginal utility is decreasing with
    money (U(x) is decreasing).
  • If an individual is risk averse then his utility
    function, U(x), is concave
  • A risk averse individual has convex indifference
    curves
  • We have studied a standard measure of risk
    aversion
  • The individual will insure if he is charged a
    fair premium
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