This model simulates an economy with three interconnected sectors: capital goods production, consumption goods production, and a labor market. The model uses an agent-based approach with discrete time steps and a fixed number of agents in each sector.
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Capital Goods Sector (Sector 1)
- Produces capital goods using labor as input
- Sellers in the capital market
- Buyers in the labor market
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Consumption Goods Sector (Sector 2)
- Produces consumption goods using capital and labor as inputs
- Buyers in the capital market
- Buyers in the labor market
- Sellers in the consumption market
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Labor Market
- Workers are sellers
- Both Sector 1 and Sector 2 firms are buyers
- Both firm types use Cobb-Douglas production functions
- Capital goods firms: capital elasticity of 0
- Consumption goods firms: capital elasticity of 0.5
- Solve intertemporal profit maximization problems for production and investment decisions
- Use simple AR projections for future prices and quantities
- Intertemporal decision-making
- Solve utility maximization problems for labor supply, consumption, and savings
- Cobb-Douglas utility function between consumption and leisure
- Used AR expectations initially, but now using adaptive expectations for firms.
- Optimisation done based on expectations
- Buyers: quantity demanded, desired price, max price
- Sellers: quantity supplied, desired price, min price
- Round 1: Transactions occur at desired prices
- Round 2: Adjustments based on market conditions
- Excess demand: Sellers have advantage, buyers use max price
- Excess supply: Buyers have advantage, sellers use min price
- If demand not met: Increase desired price
- If demand met:
- Clearing price > desired price: Increase desired price
- Clearing price < desired price: Decrease desired price
- If supply not cleared: Lower desired price
- If supply cleared:
- Clearing price > desired price: Increase desired price
- Clearing price < desired price: Decrease desired price
- Buyers: Based on actual_consumption / desired_consumption
- Sellers: Based on actual_sales / desired_sales
- Both: Consider clearing_price / desired_price ratio
The model aims to produce endogenous competitive prices in each market. Agents have limited information:
- Clearing prices in each market
- Aggregate expected demand and supply
- Latent market demand, supply, and price
- Is this mechanism sufficient to produce an equilibrium with competitive markets?
- How does the limited information available to agents affect market outcomes?