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I m not overweight It just needs redistribution Michael H. Birnbaum California State University, Fullerton – PowerPoint PPT presentation

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Title: I


1
Im not overweightIt just needs redistribution
  • Michael H. Birnbaum
  • California State University, Fullerton

2
1967
3
1967
4
Web-Based Research
  • Series of Studies tests classical and new
    paradoxes in decision making.
  • People come on-line via WWW (some in lab).
  • Choose between gambles 1 person per month (about
    1 of participants) wins the prize of one of
    their chosen gambles.
  • Data arrive 24-7 sample sizes are large results
    are clear.

5
Paradox Analysis
  • Transitivity
  • A f B and B f C ? A f C
  • Coalescing
  • GS (x, p x, q z, r) G (x, p q z, r)
  • Restricted Branch Independence

6
Cumulative Prospect Theory/ Rank-Dependent
Utility (RDU)
7
Cumulative Prospect Theory/ RDU
  • Tversky Kahneman (1992) CPT is more general
    than EU or (1979) PT, accounts for risk-seeking,
    risk aversion, sales and purchase of gambles
    insurance.
  • Accounts for Allais Paradoxes, chief evidence
    against EU theory.
  • Accounts for certain violations of restricted
    branch independence.
  • Nobel Prize in Economics (2002)

8
RAM/TAX Models
9
RAM Model Parameters
10
RAM implies inverse-S
11
RAM/TAX ? Violations of Stochastic Dominance
12
Which gamble would you prefer to play?
Gamble A Gamble B
90 reds to win 96 05 blues to win 14 05 whites to win 12 85 reds to win 96 05 blues to win 90 10 whites to win 12
70 of undergrads choose B
13
Which of these gambles would you prefer to play?
Gamble C Gamble D
85 reds to win 96 05 greens to win 96 05 blues to win 14 05 whites to win 12 85 reds to win 96 05 greens to win 90 05 blues to win 12 05 whites to win 12
90 choose C over D
14
RAM/TAX ? Violations of Stochastic Dominance
15
Violations of Stochastic Dominance Refute
CPT/RDU, predicted by RAM/TAX
Both RAM and TAX models predicted this violation
of stochastic dominance in advance of the
experiment, using parameters fit to other data.
These models do not violate transparent
dominance (Consequence monotonicity or
probability monotonicity).
16
Questions
  • How often do RAM/TAX models predict violations
    of Stochastic Dominance?
  • Are these models able to predict anything?

17
Do RAM/TAX models imply that people should
violate stochastic dominance?
Rarely. Only in special cases. Consider random
3-branch gambles Probabilities uniform from
0 to 1. Consequences uniform from 1 to
100.
Consider pairs of random gambles. 1/3 of choices
involve Stochastic Dominance, but only 1.8 per
10,000 are predicted violations by TAX. Random
study of 1,000 trials would unlikely have found
such violations by chance. (Odds 71 against)
18
Can RAM/TAX account for anything?
  • No. These models are forced to predict
    violations of stochastic dominance in the special
    recipe, , given the facts that people are (a)
    risk-seeking for small p and (b) risk-averse for
    medium to large p in two-branch gambles .

19
Analysis SD in TAX model
20
Case against CPT/RDU
  • Violations of Stochastic Dominance
  • Violations of Coalescing (Event-Splitting)
  • Violations of 3-Upper Tail Independence
  • Violations of Lower Cumulative Independence
  • Violations of Upper Cumulative Independence

21
More Evidence against CPT/RDU/RSDU
  • Violations of Restricted Branch Independence are
    opposite predictions of inverse-S weighting
    function needed to explain the Allais Paradoxes.
  • Violations of distribution independence favor RAM
    over TAX and also opposite of predictions of CPT
    with inverse-S.

22
For More Information
mbirnbaum_at_fullerton.edu
http//psych.fullerton.edu/mbirnbaum/
Download recent papers from this site. Follow
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