Computational Economics

9.

Microeconomic Applications

9.1.

Consumer Choice Models

9.1.1.

Discrete Choice Models

9.1.1.1.

9.1.1.2.

9.1.1.3.

Mixed Logit Models

9.1.2.

Random Utility Models

9.1.2.1.

Utility Specification

9.1.2.2.

Choice Probabilities

9.1.2.3.

Welfare Analysis

9.1.3.

Demand System Estimation

9.1.3.1.

Almost Ideal Demand System

9.1.3.2.

Translog Demand System

9.1.3.3.

Flexible Functional Forms

9.2.

Firm Behavior Models

9.2.1.

Production Function Estimation

9.2.1.1.

Cobb-Douglas Production

9.2.1.2.

CES Production Functions

9.2.1.3.

Productivity Measurement

9.2.2.

Cost Function Analysis

9.2.2.1.

Cost Minimization

9.2.2.2.

Economies of Scale

9.2.2.3.

Economies of Scope

9.2.3.

Market Structure Analysis

9.2.3.1.

Perfect Competition

9.2.3.2.

Monopoly Models

9.2.3.3.

Oligopoly Models

9.3.

Game Theory Applications

9.3.1.

9.3.1.1.

Nash Equilibrium Computation

9.3.1.2.

Mixed Strategy Equilibria

9.3.1.3.

Evolutionary Stable Strategies

9.3.2.

9.3.2.1.

9.3.2.2.

Markov Perfect Equilibria

9.3.2.3.

Learning in Games

9.3.3.

9.3.3.1.

First-Price Auctions

9.3.3.2.

Second-Price Auctions

9.3.3.3.

Multi-Unit Auctions

9.4.

9.4.1.

Matching Markets

9.4.1.1.

Stable Matching

9.4.1.2.

9.4.1.3.

Kidney Exchange

9.4.2.

Mechanism Design

9.4.2.1.

Incentive Compatibility

9.4.2.2.

Revenue Maximization

9.4.2.3.

Optimal Auctions

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8. Macroeconomic Applications

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10. Financial Economics Applications