Paradoxes in Decision Making With a Solution Lottery

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Paradoxes in Decision Making With a Solution

Paradoxes in Decision Making With a Solution

Lottery 1 $3000 $4000 $0 80% 20% 80% S 1 20% R 1

Lottery 1 $3000 $4000 $0 80% 20% 80% S 1 20% R 1

Lottery 2 $3000 25% $0 75% S 2 $4000 $0 20% 80% R 2

Lottery 2 $3000 25% $0 75% S 2 $4000 $0 20% 80% R 2

Lottery 2 $3000 $0 $4000 $0 35% 65% 25% 75% S 2 20% 80%

Lottery 2 $3000 $0 $4000 $0 35% 65% 25% 75% S 2 20% 80% R 2

Lottery 3 $1, 000 $5, 000 $1, 000 $0 10% S 3 89% R

Lottery 3 $1, 000 $5, 000 $1, 000 $0 10% S 3 89% R 3 1%

Lottery 4 $1, 000 $0 11% 89% S 4 $5, 000 10% $0 90%

Lottery 4 $1, 000 $0 11% 89% S 4 $5, 000 10% $0 90% R 4

Lotteries 3 and 4 60% migration from S 3 to R 4 Is this

Lotteries 3 and 4 60% migration from S 3 to R 4 Is this a problem? ? ?

Allais Paradox (1953( Violates “Independence of Irrelevant Alternatives” Hypothesis (or possibly reduction of compound

Allais Paradox (1953( Violates “Independence of Irrelevant Alternatives” Hypothesis (or possibly reduction of compound lotteries) Example: § Offered in restaurant Chicken or Beef order Chicken. § Given additional option of Fish order Beef

Restatement - Lottery 1 S 1 oooo $3000 R 1 o oooo o $4000

Restatement - Lottery 1 S 1 oooo $3000 R 1 o oooo o $4000 $0

Restatement - Lottery 2 S 2 oooo o $3000 R 2 oooo o $4000

Restatement - Lottery 2 S 2 oooo o $3000 R 2 oooo o $4000 $0 (80%) (20%) oooo $0 o oooo o $0

Restatement - Lottery 3 S 4 oooooooooo oooooooooo ooooo $1, 000, 000 ooooo $1,

Restatement - Lottery 3 S 4 oooooooooo oooooooooo ooooo $1, 000, 000 ooooo $1, 000 R 4 oooooooooo oooooooooo ooooo $1, 000 o $0 ooooo $5, 000

Restatement - Lottery 4 S 4 oooooooooo oooooooooo ooooo $0 o $1, 000 ooooo

Restatement - Lottery 4 S 4 oooooooooo oooooooooo ooooo $0 o $1, 000 ooooo $1, 000 R 4 oooooooooo oooooooooo ooooo $0 ooooo $5, 000

p 3 Marschak-Machina Triangle 3 outcomes: Probabilities: p 1 p 2

p 3 Marschak-Machina Triangle 3 outcomes: Probabilities: p 1 p 2

p 3 4000 R 1 (0. 2, 0, 0. 8) R 2 (0. 8,

p 3 4000 R 1 (0. 2, 0, 0. 8) R 2 (0. 8, 0, 0. 2) 0 p 1 S 2 (0. 75, 0. 25, 0) 3000 S 1 p 2

p 3 Reduce to two dimensions P 2=0 p 1

p 3 Reduce to two dimensions P 2=0 p 1

p 3 Subjective Expected Utility Theory (SEUT) Betweenness Axiom: If G 1~G 2 then

p 3 Subjective Expected Utility Theory (SEUT) Betweenness Axiom: If G 1~G 2 then [G 1, G 2; q, 1 -q]~G 1 ~G 2 So, indifference curves linear! Independence Axiom: If G 1~G 2 then [G 1, G 3; q, 1 -q]~ [G 2, G 3; q, 1 -q] So, indifference curves are parallel!! p 1

Risk Neutrality: Along indifference curve p 1 x 1+p 2 x 2+p 3 x

Risk Neutrality: Along indifference curve p 1 x 1+p 2 x 2+p 3 x 3=c p 1 x 1+(1 -p 3)x 2+p 3 x 3=c Linear and parallel Risk Averse: Along indifference curve p 1 u(x 1)+p 2 u(x 2)+p 3 u(x 3)=c p 1 u(x 1)+(1 -p 3) u(x 2)+p 3 u(x 3)=c Linear and parallel

p 3 Common Ratio Problem R 1 R 2 S 1 S 2 p

p 3 Common Ratio Problem R 1 R 2 S 1 S 2 p 1

p 3 Common Consequence Problem R 4 R 3 S 4 p 1

p 3 Common Consequence Problem R 4 R 3 S 4 p 1

Prospect Theory Kahneman and Tversky (Econometrica 1979) § Certainty Effect § Reflection Effect §

Prospect Theory Kahneman and Tversky (Econometrica 1979) § Certainty Effect § Reflection Effect § Isolation Effect

Certainty Effect People place too much weight on certain events This can explain choices

Certainty Effect People place too much weight on certain events This can explain choices above

Ellsberg Paradox Certainty Effect 33 67 G 1 $1000 if red G 2 $1000

Ellsberg Paradox Certainty Effect 33 67 G 1 $1000 if red G 2 $1000 if black G 3 $1000 if red or yellow G 4 $1000 if black or yellow

Ellsberg Paradox Most people choose G 1 and G 4. BUT: Yellow shouldn’t matter

Ellsberg Paradox Most people choose G 1 and G 4. BUT: Yellow shouldn’t matter

Reflection Effect All Results get turned around when discussing Losses instead of Gains

Reflection Effect All Results get turned around when discussing Losses instead of Gains

Isolation Effect Manner of decomposition of a problem can have an effect. Example: 2

Isolation Effect Manner of decomposition of a problem can have an effect. Example: 2 -stage game Stage 1: Toss two coins. If both heads, go to stage 2. If not, get $0. Stage 2: Can choose between $3000 with certainty, or 80% chance of $4000, and 20% chance of $0. This is identical to Game 2, yet people choose like in Game 1 (certainty), even if they must choose ahead of time!

Example We give you $1000. Choose between: a) Toss coin. If heads get additional

Example We give you $1000. Choose between: a) Toss coin. If heads get additional $1000, if tails gets $0. b) Get $500 with certainty.

Example We give you $2000. Choose between: a) Toss coin. If heads lose $0,

Example We give you $2000. Choose between: a) Toss coin. If heads lose $0, if tails lose $1000. b) Lose $500 with certainty.

§ 84% choose +500, and 69% choose [-1000, 0] § Very problematic, since outcomes

§ 84% choose +500, and 69% choose [-1000, 0] § Very problematic, since outcomes identical! Ø Ø 50% of $1, 000 and 50% chance of $2, 000 or $1, 500 with certainty § Prospect Theory explanation: Ø Ø isolation effect - isolate initial receipt of money from lottery reflection effect - treat gains differently from losses

Preference Reversals (Grether and Plott) § Choose between two lotteries: ($4, 35/36; $-1 1/36)

Preference Reversals (Grether and Plott) § Choose between two lotteries: ($4, 35/36; $-1 1/36) or ($16, 11/36; $-1. 50, 25/36) § Also, ask price willing to sell lottery for. § Typically – choose more certain lottery (first one) but place higher price on risky bet. § Problem – prices meant to indicate value, and consumer should choose lottery with higher value.

Wealth Effects § Problem: Subjects become richer as game proceeds, which may affect behavior

Wealth Effects § Problem: Subjects become richer as game proceeds, which may affect behavior § Solutions: l l Ex-post analysis – analyze choices to see if changed Induced preferences – lottery tickets Between group design – pre-test Random selection – one result selected for payment

Measuring Preferences Administer a series of questions and then apply results. However, sometimes people

Measuring Preferences Administer a series of questions and then apply results. However, sometimes people contradict themselves – change their answers to identical questions