Chapter 7: Choice under Uncertainty and the Economics of Information

0.0(0)
Studied by 0 people
call kaiCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/102

encourage image

There's no tags or description

Looks like no tags are added yet.

103 Terms

1
New cards

What is choice under uncertainty?

Making decisions without knowing which outcome will occur

  • Bc most economic decisons made w/o complete info

  • Cant know all possible outcomes when making a decision


2
New cards

What are economic decisions under uncertainty +why?

Gambles

  • Bc outcomes are uncertain


3
New cards

Proability

Measures the likelihood of an outcome occurring.

4
New cards

What is the probability of heads on a fair coin?

50%

  • Ie over many tosses, each outcome should occur approximately 50% of the time.


5
New cards

Important property of a gamble

  • Its expected value


6
New cards

Expected value

The sum of all possible outcomes, weighted by its respective probability of occurrence

  • ie weighted average of all possible outcomes (weights = respective probabilities)


7
New cards

What does expected value measure?

Average payoff expected over many repetitions of the gamble

8
New cards

Expected value formula

EV = Σ (probability x outcome)

<p>EV = Σ (probability x outcome)</p>
9
New cards

Does a higher EV mean a gamble is more attractive?

NOT necessarily

  • People also consider how desirable or unpleasant the outcomes are


10
New cards

Positive vs negative expected value

  • Positive EV = expected net gain.

  • Negative EV = expected net loss.


11
New cards

What does a gamble’s attractiveness depend on?

  1. Its expected value

  2. AND the desirability of its possible outcomes


12
New cards
<p>Fair coin toss:</p><ol><li><p>Which gamble has the highest EV?</p></li><li><p>Which gamble is most likely to be accepted?</p></li><li><p>Why do most people reject Gamble 3?</p></li></ol><p></p>

Fair coin toss:

  1. Which gamble has the highest EV?

  2. Which gamble is most likely to be accepted?

  3. Why do most people reject Gamble 3?


Which gamble has the highest EV?

Gamble 3 (€5,000).

Which gamble is most likely to be accepted?

Gamble 1, because its potential loss is very small.

Why do most people reject Gamble 3?

The potential loss of €10,000 is extremely unpleasant.


<table style="min-width: 50px;"><colgroup><col style="min-width: 25px;"><col style="min-width: 25px;"></colgroup><tbody><tr><td colspan="1" rowspan="1"><p>Which gamble has the highest EV?</p></td><td colspan="1" rowspan="1"><p>Gamble 3 (€5,000).</p></td></tr><tr><td colspan="1" rowspan="1"><p>Which gamble is most likely to be accepted?</p></td><td colspan="1" rowspan="1"><p>Gamble 1, because its potential loss is very small.</p></td></tr><tr><td colspan="1" rowspan="1"><p>Why do most people reject Gamble 3?</p></td><td colspan="1" rowspan="1"><p>The potential loss of €10,000 is extremely unpleasant.</p></td></tr></tbody></table><p></p>
13
New cards

The von Neumann-Morgenstern Expected Utility Model

People choose the alternative that has the highest expected utility

  • EU maximisation


14
New cards

Expected utility

EU of a gamble = expected value of utility over all possible outcomes

  • The weighted average of the utility of all possible outcomes


15
New cards

What does expected utility maximisation assume?

  • A utility function U that assigns a numerical measure to the satisfaction associated with different outcomes.


16
New cards

According to the Expected Utility Model, what option do people choose?

Option w the highest expected utility (EU)

  • Not necessarily the highest EV


17
New cards

What does utility measure?

The satisfaction associated with an outcome.

18
New cards
<p>Expected utility formula</p>

Expected utility formula

EV = Σ (probability x utility)

<p>EV = Σ (probability x utility)</p>
19
New cards

When should you accept vs reject a gamble?

  • Accept: EU gamble > U(M0)

  • Reject: EU gamble < U(M0)

  • Indifferent: EU gamble = U(M0)


M0 = initial wealth

20
New cards

If you refuse a gamble what is your utility

Same utility as initial wealth

  • U(M0)


21
New cards
<p>Example for a fair coin toss</p><table style="min-width: 100px;"><colgroup><col style="min-width: 25px;"><col style="min-width: 25px;"><col style="min-width: 25px;"><col style="min-width: 25px;"></colgroup><tbody><tr><th colspan="1" rowspan="1"><p>Gamble</p></th><th colspan="1" rowspan="1"><p>Heads</p></th><th colspan="1" rowspan="1"><p>Tails</p></th><th colspan="1" rowspan="1"><p>Expected value</p></th></tr><tr><td colspan="1" rowspan="1"><p>1</p></td><td colspan="1" rowspan="1"><p>+€100</p></td><td colspan="1" rowspan="1"><p>-€0.50</p></td><td colspan="1" rowspan="1"><p>€49.75</p></td></tr><tr><td colspan="1" rowspan="1"><p>2</p></td><td colspan="1" rowspan="1"><p>+€200</p></td><td colspan="1" rowspan="1"><p>-€100</p></td><td colspan="1" rowspan="1"><p>€50</p></td></tr><tr><td colspan="1" rowspan="1"><p>3</p></td><td colspan="1" rowspan="1"><p>+€20,000</p></td><td colspan="1" rowspan="1"><p>-€10,000</p></td><td colspan="1" rowspan="1"><p>€5,000</p></td></tr></tbody></table><p></p>

Example for a fair coin toss

Gamble

Heads

Tails

Expected value

1

+€100

-€0.50

€49.75

2

+€200

-€100

€50

3

+€20,000

-€10,000

€5,000


knowt flashcard image
22
New cards

Do expected values have the same rankings as expected utilities for a set of alternatives?

Not neccessarily

  • Bc utility is usually a non linear function of wealth


23
New cards

Expected utility vs expected value

  • EV calculates the average monetary outcome.

  • EU calculates the average utility of the outcomes.


24
New cards

Is utility function usually concave or convex + explain?

Concave

  • Concave UF = curves downwards

  • As wealth increases, slope decreases

  • Diminishing marginal utility

  • ie curve lies above the chord connecting any two points on it.


<p>Concave</p><ul><li><p>Concave UF = curves downwards</p></li><li><p>As wealth increases, slope decreases</p></li><li><p>Diminishing marginal utility</p></li><li><p>ie curve lies above the chord connecting any two points on it.</p></li></ul><p></p>
25
New cards

Feature of marginal utility for a concave utility function

Diminishing marginal utility

  • As wealth increases, MU decreases


26
New cards

Diminishing marginal utility of wealth

  • The more wealth a consumer has, the additional utility from 1 extra unit of wealth decreases

  • Each additional unit of wealth provides less additional utility


<ul><li><p>The more wealth a consumer has, the additional utility from 1 extra unit of wealth decreases</p></li><li><p>Each additional unit of wealth provides less additional utility</p></li></ul><p></p>
27
New cards

What is marginal utility?

Slope of the utility function

28
New cards

What type of person is someone with a concave utility function (of wealth)?

Risk averse

29
New cards

Risk averse

Preferences described by a utility function with diminishing marginal utility of wealth (concave UF)

  • Prefer certainty over a gamble with the same expected value

  • Always refuse a fair gamble (EV = 0)


30
New cards

What type of utility function represents risk aversion?

Concave utility function

31
New cards

Fair gamble

Gamble with an expected value of 0

  • EV of your wealth if you accept the gamble = certain value of your wealth if you refuse it

  • ie Expected wealth from gambling = wealth from refusin


<p>Gamble with an expected value of 0</p><ul><li><p>EV of your wealth if you accept the gamble = certain value of your wealth if you refuse it</p></li><li><p>ie Expected wealth from gambling = wealth from refusin</p></li></ul><p></p>
32
New cards

Why do risk-averse people reject fair gambles?

Bc utility lost from losing exceeds the utility gained from winning

  • Due to diminishing marginal utility

  • So EU gambling < U (initial wealth)


33
New cards
<p>Geometric interpretation of the expected utility of a gamble</p>

Geometric interpretation of the expected utility of a gamble

  1. 2 points in the utility function: winning and losing

  2. Join point with straight line (chord)

  3. EU lies on this chord

  4. Concave UF: curve is above the chord

  5. So EU gamble < U(EV wealth)

  6. For a fair gamble EU gamble <U(M0)


34
New cards

If the probability of winning is half, where does EU lie?

Halfway between the chord joining the winning and losing gamble

35
New cards

Utility function for risk averse person

knowt flashcard image
36
New cards

Where does expected utility lie geometrically?

On the chord joining the utilities of the possible outcomes.

37
New cards

Where does EU lie if probabilities are unequal?

At a weighted position along the chord.

38
New cards

Will risk-averse people accept every positive-EV gamble?

No.

  • If the potential loss makes the EU too low → reject


39
New cards
<p>Example- unequal probabilities</p>

Example- unequal probabilities

Remember: Probabilities do not have to be 50/50. Always multiply each utility by its respective probability.

<p>Remember: Probabilities do not have to be 50/50. Always multiply each utility by its respective probability.</p>
40
New cards

What do you need to do to initial wealth BEFORE applying the utility function to calculate EU?

Add/subtract the gamble's winnings/losses from initial wealth

41
New cards

If probability of winning is p, what is the probability of losing?

1-p

42
New cards

Expected utility with unequal probabilities

knowt flashcard image
43
New cards

What determines the position of EU on the chord?

Depends on probabilities of winning or losing

44
New cards

Where will EU lie if there is a higher probability of winning?

Closer to the winning endpoint

45
New cards

Are most people risk averse or risk seeking?

Averse

  • Increase wealth → DMU (concave)


46
New cards

Risk seeking

Someone whose preferences are described by a utility function with increasing marginal utility of wealth.

  • Convex UF

  • Slope increases as wealth increases.

  • Prefer taking a fair gamble over receiving the certain outcome.

  • EU fair gamble > U(M0)

  • EU of accepting fair gamble > U of refusing it


47
New cards

Utility function for risk averse people

Convex

  • Chord lies above curve


<p>Convex</p><ul><li><p>Chord lies above curve</p></li></ul><p></p>
48
New cards

Risk neutral

Preferences described by a utility function with constant marginal utility of wealth

  • Linear UF

  • Indifferent betw accepting + refusing a fair gamble

  • EU fair gamble = U(M0) (aka U of refusing it)


49
New cards

Utility function for a risk neutral person

knowt flashcard image
50
New cards

How many possible outcomes can a gamble have?

Many

<p>Many</p>
51
New cards

What must all probabilities in a gamble add up to?

1 (100%)

52
New cards
term image
knowt flashcard image
53
New cards
<p>Risk averse vs risk seeking vs risk neutral</p>

Risk averse vs risk seeking vs risk neutral

knowt flashcard image
54
New cards

Why do concave utility curves make risk feel costly?

Bc diminishing marginal utility

55
New cards

Information that reduced uncertainty has?

Economic value

56
New cards

Why does info that reduces uncertainty have economic value?

Helps ppl make better decisons

  • By revealing / predicting possible outcomes

  • Ppl make better decisions based on the outcomes they learn about

  • Eg career guidance


57
New cards

Does only perfect info have economic value?

No. Even imperfect

  • Anything that reduces uncertainty (even a little) has economic value


58
New cards
<p></p>



<p></p>
59
New cards

Why is information valuable?

It allows people to choose more effectively between alternatives.

60
New cards
61
New cards
62
New cards
63
New cards
64
New cards
65
New cards
66
New cards
67
New cards
68
New cards
69
New cards
70
New cards
71
New cards
72
New cards
73
New cards
74
New cards
75
New cards
76
New cards
77
New cards
78
New cards
79
New cards
80
New cards
81
New cards
82
New cards
83
New cards
84
New cards
85
New cards
86
New cards
87
New cards
88
New cards
89
New cards
90
New cards
91
New cards
92
New cards
93
New cards
94
New cards
95
New cards
96
New cards
97
New cards
98
New cards
99
New cards
100
New cards