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Ec1818 Economics of Discontinuous Change Section 1 [Lectures 1-4] Wei Huang Harvard University (Preliminary and subject to revisions)

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Presentation on theme: "Ec1818 Economics of Discontinuous Change Section 1 [Lectures 1-4] Wei Huang Harvard University (Preliminary and subject to revisions)"— Presentation transcript:

1 Ec1818 Economics of Discontinuous Change Section 1 [Lectures 1-4] Wei Huang Harvard University (Preliminary and subject to revisions)

2 Outline My understanding for this course Key Points in Lecture 1 – 4 – Intuition of Discontinuous Change – Cellular Automata (CA model) – Prisoner‘s Dilemma (PD) and Strategies – Evolutionary Stable Games/Strategies

3 About This Course, My understanding What’s important – Phenomena, Intuition, Understanding and Applications – I will follow these in Sections Lectures are intuitive and informative, Sections may be somehow more abstract. Role of Mathematics – Helps to understand – Some basic math is required

4 Intuition of Discontinuous Change Discontinuous Change – Sharp change that affects lives in important ways. – What generates discontinuities? Non-linearities, Positive feedbacks and Interactions. Negative feedbacks can produce stability – D(t) = 100 – W(t) – S(t) = 20 + 0.6W(t-1) – If W0 = 20, Based on D(t) = S(t), W(t) = 80 – 0.6W(t- 1)… (Next Slide) – Instead, if S(t) = 20 + 1.6W(t-1), W(t) = 80 – 1.6W(t-1), what will happen?

5 D or S W(t) or W(t-1) S(t) D(t)

6 Cellular Automata (CA model) A discrete dynamical system based on a lattice – Behavior depends on near neighbors. The Schelling Model – Neighborhood, Preferences, Moving rules – Complete Math Framework? More complex! Externality may generates segregation beyond what people want! – Many possible outcomes.

7 An example from Previous PPT

8 PD and Strategies A B Strategy: A cookbook to follow in any case. For example, Simply “Cooperate” is not a strategy. But “ALWAYS cooperate” or “ALWAYS defect” is a strategy. One important Strategy: Tit-for-Tat (TFT),cooperate until opponent defects, then defect until opponent changes.

9 Basic calculations We should know how to calculate the payoffs given strategies and the game rules, provided by the matrix. For example, the payoff matrix provided in last slide. – T periods with discount factor w. – What is the payoff to A and B if (All C, All C)? How about (TFT, TFT)? How about (D, D)? – Is (TFT, TFT) a Nash Equilibrium here?

10 Evolutionary Stable Strategy (ESS) A dominant strategy robust to small invasion by another one strategy. A strategy s is an evolutionary stable strategy (ESS) if, for sufficiently small p > 0, (1-p)U(s, s) + p U(s, t) > (1-p)U(t, s) + p U(t, t) holds, for any other strategy t. “Harm by neighbor” game: – Two Pure Strategy NEs: (A, A), (B, B) – (A, A) does not correspond to ESS but (B, B) does.

11 Another Example: PD (1) Consider three-period PD repeated game with discount factor 1. The stage game is Consider three strategies: TFT, All C and All D. – U(TFT, TFT) = U(TFT, All C) = U(All C, TFT) = U(All C, All C)=3+3+3 = 9; – U(TFT, All D) = 0 + 1 + 1 = 2, U(All D, TFT) = 5 + 1 + 1 = 7 and U(All D, All D) = 1 + 1 + 1 = 3.

12 Another Example: PD (2) TFT Strategy is dominant against a small invasion of All D Strategy – (1-p)U(TFT, TFT) + p U(TFT, All D) > (1-p)U(All D, TFT) + p U(All D, All D) holds for all p < 2/3 TFT Strategy is not dominant against a small invasion of All C Strategy – (1-p)U(TFT, TFT) + p U(TFT, All C) = (1-p) U(All C, TFT) + p U(All C, All DC)


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