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Model Thinking #
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Structured data

Offers
Coursera
Start Date
2014-06-02
URL

Coursera 강의

Section 1: Introduction: Why Model? #

Intelligent Citizen of the World #

Using models can make us more intelligent citizens of the world

Clear Thinker #

  1. Name the parts
  2. Identify relationships
  3. Work through logic
  4. Inductively explore
  5. Understand class of outcome - Equilibrium, Cycle, Random, Complex
  6. Identify logical boundaries
  7. Communicate

Understand and Use Data #

  1. Understand Patterns
  2. Predict Points
  3. Produce Bounds
  4. Retrodict
  5. Predict Other
  6. Inform Data Collection
  7. Estimate Hidden Parameters
  8. Calibrate

Decide, Strategize, and Design #

  1. Decision Aids - The Monty Hall Problem
  2. Comparative Statics
  3. Couneterfactuals
  4. Identify and Rank Levers
  5. Experimental Design
  6. Institutional Design
  7. Help Choose Among Policies and Institutions

Section 2: Sorting and Peer Effects #

Sorting and peer Effects Introduction #

Equation Based Model

Agent Based Model

  • individuals
  • bhaviors
  • outcomes

Schelling's Segregation Model #

Using NetLogo, simulate segration

  • 30% simility -> 72%
  • 52% -> 92%
  • 90% -> chaos

Micromotives is not equal to Macrobehavior

Measuring Segregation #

| b/B - y/Y |

Peer Effects #

The Standing Ovation Model #

For the ovation

  • Higher quality
  • Lower threshold
  • Larger peer effects
  • More varation
  • Use celebrities
  • Big groups

The Identification Problem #

Homophily or Peer Effect?

Section 3: Aggregation #

Aggregation #

Central Limit Theorem #

Six Sigma #

Game of Life #

Cellular Automata #

Preference Aggregation #

Section 4: Decision Models #

Introduction to Decision Making #

Multi-Creterion Decision Model #

Spatial Choice Models #

Decision Trees #

Value of Information #

Suggested Pages #

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