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File: Microeconomics Pdf 125748 | Uncertaintynew
microeconomics 1 uncertainty lotteries expected utility money lotteries stochastic dominance microeconomics 1 uncertainty alex gershkov http www econ2 uni bonn de gershkov gershkov htm 11 november 2008 1 31 microeconomics ...

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          Microeconomics   -  1. Uncertainty
             Lotteries           Expected Utility          Money Lotteries            Stochastic Dominance
                                           Microeconomics
                                             1. Uncertainty
                                                Alex Gershkov
                  http://www.econ2.uni-bonn.de/gershkov/gershkov.htm
                                             11. November 2008
                                                                                                      1 / 31
          Microeconomics   -  1. Uncertainty
             Lotteries           Expected Utility          Money Lotteries            Stochastic Dominance
   Lotteries
          A decision maker faces a choice among a number of risky
          alternatives.
          Each alternative can lead to one of a number of possible outcomes.
          C is the finite set of all possible outcomes with |C| = N.
          Definition: A simple lottery L = (p ;:::;p ), p ≥ 0; Pp = 1 is
                                                             1           N       i              i
          a collection of probabilities for the sure outcomes x1;:::;xN. (We
                                                        N
          write a lottery as a set {xi : pi}                 and denote by L the set of all
                                                        i=1
          simple lotteries over the set of outcomes C.)
                                                                                                      2 / 31
          Microeconomics   -  1. Uncertainty
             Lotteries           Expected Utility          Money Lotteries            Stochastic Dominance
   Lotteries
          A simple lottery can be represented as a point in simplex.
          Definition: The set ∆ = {p ∈ R N : Pp = 1} is called a
                                                          +            i
          N-dimensional simplex.
          In its three outcome (=dimensional) case, a simplex can be
          graphically represented by an equilateral triangle with altitude 1.
          Each perpendicular then can be interpreted as the probability of
          the outcome at the opposing vertex. Thus every point in the
          triangle represents a lottery.
                                                                                                      3 / 31
          Microeconomics   -  1. Uncertainty
             Lotteries           Expected Utility          Money Lotteries            Stochastic Dominance
   Lottery
          The Lottery Q = {1 : p1;2 : p2;3 : p3} with all probabilities equal
          to one third.
                                                    $3 
                                                                                  ½ 
                                                      f 
                                                       + 
                                         p                      p             1 
                                          2                      1 
                                                      Q 
                                                                                  ½ 
                                                     p 
                                $1                    3                $2 
                                                                                                      4 / 31
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...Microeconomics uncertainty lotteries expected utility money stochastic dominance alex gershkov http www econ uni bonn de htm november a decision maker faces choice among number of risky alternatives each alternative can lead to one possible outcomes c is the nite set all with n denition simple lottery l p pp i collection probabilities for sure x xn we write as xi pi and denote by over be represented point in simplex r called dimensional its three outcome case graphically an equilateral triangle altitude perpendicular then interpreted probability at opposing vertex thus every represents q equal third f...

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