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BEE3049 Behaviour, Decisions and Markets

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Markets, Games & Strategic Behavior, C.A. Holt, 2006. Available in the library (3 copies) or you may purchase a copy. ... Transitivity: if A B and B C, then B C. ... – PowerPoint PPT presentation

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Title: BEE3049 Behaviour, Decisions and Markets


1
BEE3049Behaviour, Decisions and Markets
  • Miguel A. Fonseca

2
Some announcements
  • Course information (slides, notes, etc.)
  • http//people.ex.ac.uk/maf206/bdm.htm
  • Main textbook
  • Markets, Games Strategic Behavior, C.A. Holt,
    2006
  • Available in the library (3 copies) or you may
    purchase a copy.
  • I may also indicate supplementary readings for
    each topic.

3
More announcements
  • There will be two classes per week
  • 1 lecture and 1 seminar
  • The seminar will be dedicated to
  • Solving and/or discussing homework
  • Running experiments related to the material.

4
Coursework and Evaluation
  • Every week I will propose one or more discussion
    questions.
  • These questions will be the basis of one of your
    assignments
  • You must pick one of them and write an essay
    which must not exceed 1,000 words
  • This essay must be handed in no later than
    12/01/2009
  • This essay counts for 10 of your final mark

5
Coursework and Evaluation
  • Dieter Balkenborg will have another assignment in
    the last 5 weeks of the course.
  • (This assignment will also be worth 10 of your
    mark.)
  • There will be a final exam, which will determine
    the remaining 80 of the mark for the course.
  • Given this is the first year we are running this
    course, we will provide a mock exam before the
    Christmas Break.

6
Rational Choice Fundamentals
  • At the core of every phenomenon studied by
    Economics lies a choice problem.
  • In other words all the economic theory underlying
    phenomena like stock market prices or charity
    giving is based on two basic axioms
  • Transitivity, and
  • Completeness.

7
Preference relations
  • Choice theory assumes individuals preferences can
    be fully described by a preference relation
    , which can be applied to any two objects.
  • A B should read A is at least as good as B.
  • From this relationship we can derive two more
    important relations
  • Strict preference
  • Indifference

8
Rational Choice
  • An individual is rational if his/her preference
    relation possesses the two following properties
  • Completeness A B or B A (or both)
  • Transitivity if A B and B C, then B C.
  • Completeness basically requires an individual to
    always be able to state a preference between two
    objects.
  • It is tough because a rational agent should be
    able to state a preference between any pair of
    objects in order to make a choice, even if that
    choice is purely hypothetical.

9
Rational Choice
  • Transitivity is the toughest requirement for
    rationality. Why is it necessary?
  • Suppose Johns preferences are such that he
  • Apples oranges, oranges pears and pears
    apples.
  • This means that
  • John would pay 1p to trade an orange for an
    apple
  • He would then pay 1p to trade an apple for a
    pear
  • He would then pay 1p to trade a pear for an
    orange!
  • John would end up paying 3p for his original
    orange!

10
Rational Choice (cont)
  • If preferences are rational, it can be shown that
    there is a function, u(x) for which the following
    is true
  • If A B, then u(A) u(B)
  • Utility functions are the building block for
    analysing choice, either individually or in a
    strategic setting.
  • Does this mean that our choices always conform to
    the postulates of rational choice?

11
Utility Functions
  • The first critique of rational choice came from
    Maurice Allais.
  • Consider the following choices
  • Choice 1

12
Utility Functions
  • Choice 2

13
Allais Paradox
  • If you picked A in choice 1, then
  • U(100) gt 0.1 U(500) 0.89 U(100) 0.01 U(0)
  • Which means 0.11 U(100) gt 0.1 U(500) 0.01 U(0)
  • Picking C in choice 2 means
  • 0.1 U(500) 0.9 U(0) gt 0.11 U(100) 0.89 U(0)
  • Which means 0.1 U(500) 0.01 U(0) gt 0.11 U(100)
  • So, picking A and C is inconsistent w/ rational
    theory.
  • Can you show why the same is true for B and D?

14
Ellsberg paradox
  • A second critique of rational choice came from
    Ellsberg.
  • He argued that individual decisions would violate
    expected utility theory if probabilities were not
    exactly known.

15
Ellsberg Paradox
  • Consider the following case
  • An urn contains three types of balls, yellow, red
    and black such that
  • There are 30 red balls
  • There are 60 balls which may be yellow or black.
  • Now, you must choose one of two options
  • A) Pick a ball if it is red you earn 100
  • B) Pick a ball if it is black you earn 100.

16
Ellsberg Paradox
  • Suppose now I offer you a different proposition
  • C) Pick a ball if it is either red or yellow,
    you get 100
  • D) Pick a ball if it is either black or yellow,
    you get 100

17
Ambiguity aversion
  • The evidence from this experiment points to the
    fact that people are ambiguity averse.
  • That is, they dislike situations in which they
    are unable to assign concrete probabilities.

18
Prospect Theory
  • Imagine the UK is preparing for the outbreak of
    an epidemic, expected to kill 600 people
  • If program A is adopted, 200 people will be saved
  • If program B is adopted, there is one third
    probability that 600 people will be saved and two
    thirds probability that no people will be saved

19
Prospect Theory
  • Imagine the UK is preparing for the outbreak of
    an epidemic, expected to kill 600 people (N 155
    subjects)
  • If program C is adopted, 400 people will die
  • If program D is adopted, there is one third
    probability that nobody will die and two thirds
    probability that 600 people will die

20
Prospect Theory
  • Individuals seem to react differently depending
    on the context
  • Risk averse when dealing with gains
  • Risk seeking when dealing with losses.

21
Prospect Theory
U(X)
Gains
Losses
-

22
Prospect Theory
  • The Value function V(X), where X is a prospect
  • Is defined by gains and losses from a reference
    point
  • Is concave for gains, and convex for losses
  • The value function is steepest near the point of
    reference Sensitivity to losses or gains is
    maximal in the very first unit of gain or loss
  • Is steeper in the losses domain than in the gains
    domain
  • Suggests a basic human mechanism (it is easier to
    make people unhappy than happy)
  • Thus, the negative effect of a loss is larger
    than the positive effect of a gain

23
Mental Accounts
  • Imagine the following situations
  • you are about to purchase a stereo for 125 and a
    CD for 15. The salesman mentions that the CD is
    on sale for 10 at another branch of the store 20
    minutes away by car.
  • you are about to purchase a CD for 15 and a
    stereo for 125. The salesman mentions that the
    stereo is on sale for 120 at another branch of
    the store 20 minutes away by car.
  • 68 (N88) of subjects were willing to drive to
    the other store in A, but only 29 (N93) in B

24
Framing and Mental Accounts
  • Three potential framing options, or accounts
  • Minimal (considers only differences between local
    options, such as gaining 5, disregarding common
    features)
  • Topical (considers the context in which the
    decision arises, such as reducing the price of
    the calculator from 15 to 10)
  • Comprehensive (includes both jacket and
    calculator in relation to total monthly expenses)
  • People usually frame decisions in terms of
    topical accounts thus the savings on the
    calculators are considered relative to their
    prices in each option

25
Loss Aversion The Endowment Effect(Thaler,
1980)
  • It is more painful to give up an asset than it is
    pleasurable to buy it, an endowment effect
  • Thus, selling prices are higher than buying
    prices, contrary to economic theory
  • There is a status quo bias (Samuelson and
    Zeckhauser 1988) since disadvantages of leaving
    the current state seem larger than advantages,
    for multi-attribute utility functions
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