Incomplete Information and Risk Aversion
Christopher Makler
Stanford University Department of Economics
Econ 51: Lecture 7
Games of
Incomplete Information
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Suppose one of these
two games is being played.
Both players know there is an equal probability of each game.
Only player 1 knows which game is being played right now.
What is player 1's strategy space?
Player 2's?
Nature
Heads
(1/2)
Tails
(1/2)
Both players know there is an equal probability of each game.
Only player 1 knows which game is being played right now.
We can model this "as if" there is a nonstrategic player called Nature who moves first, flipping a coin, and picks which game is being played based on the coin flip.
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\(A^H\)
\(B^H\)
\(A^T\)
\(B^T\)
Nature
Heads
(1/2)
Tails
(1/2)
2
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1
\(A^H\)
\(B^H\)
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The Bayesian Normal Form representation of the game shows the expected payoffs for each of the strategies the players could play:
\(A^HA^T\)
\(A^HB^T\)
\(B^HA^T\)
\(B^HB^T\)
X
Y
But...can we just use the average payoff?
Risk Aversion
Up to now: no uncertainty about what is going to happen in the world.
In the real world: lots of uncertainty!
We'll model preferences over risk by thinking about preferences over consumption lotteries in which you consume different amounts in different states of the world.
Example 1: Betting on a Coin Toss
Example 2: Deal or No Deal
Start with $250 for sure
Would you do it?
If you bet $150 on a coin toss,
you would face the lottery:
50% chance of 100, 50% chance of 400
Two briefcases left: $200K and $1 million
Would you accept that offer? What's the highest offer you would accept?
The "banker" offers you $561,000 to walk away; or you could pick one of the cases.
A lottery is a set of outcomes,
each of which occurs with a known probability.
Lotteries
pollev.com/chrismakler
Suppose I were to offer you a choice:
5 extra points on the midterm that just occurred for sure
a 50/50 chance of 1 extra point,
or 9 extra points
Which would you vote for?
Example 1: Betting on a Coin Toss
Start with $250 for sure
If you bet $150 on a coin toss,
you would face the lottery:
50% chance of 100,
50% chance of 400
We can represent a lottery as a "bundle" in "state 1 - state 2 space"
Suppose the way you feel about money doesn't depend on the state of the world.
Independence Assumption
Payoff if don't take the bet: \(u(250)\)
Payoff if win the bet: \(u(400)\)
Payoff if lose the bet: \(u(100)\)
Expected Utility
"Von Neumann-Morgenstern Utility Function"
Probability-weighted average of a consistent within-state utility function \(u(c_s)\)
You prefer having E[c] for sure to taking the gamble
You're indifferent between the two
You prefer taking the gamble to having E[c] for sure
Risk Aversion
You prefer having E[c] for sure to taking the gamble
You're indifferent between the two
You prefer taking the gamble to having E[c] for sure
Certainty Equivalence
"How much money would you need to have for sure
to be just as well off as you are with your current gamble?"
Risk Premium
"How much would you be willing to pay to avoid a fair bet?"
Nature
Heads
(1/2)
Tails
(1/2)
2
1
2
1
\(A^H\)
\(B^H\)
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Y
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\(A^T\)
\(B^T\)
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X
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How do we combine risk with this analysis?
Remember that the "payoffs" we list are utility ...so maybe the monetary payoffs are these values squared...
\(A^HA^T\)
\(A^HB^T\)
\(B^HA^T\)
\(B^HB^T\)
X
Y
Mitigating Risk
(a brief foray into finance)
Econ 51 | Spring 23 | 7 | Incomplete Information and Risk Aversion
By Chris Makler
Econ 51 | Spring 23 | 7 | Incomplete Information and Risk Aversion
Uncertainty and Risk Aversion - Presentation
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