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lectures/lucas_model.md

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import matplotlib.pyplot as plt
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```
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## The Lucas Model
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## The Lucas model
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```{index} single: Lucas Model
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```
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This makes it very easy to compute competitive equilibrium prices.
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### Basic Setup
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### Basic setup
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Let's review the setup.
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* $u$ is a strictly increasing, strictly concave, continuously differentiable period utility function.
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* $\mathbb{E}$ is a mathematical expectation.
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### Pricing a Lucas Tree
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### Pricing a Lucas tree
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```{index} single: Lucas Model; Pricing
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```
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But this value is inherited as a state variable at time $t$, which explains the choice of subscript.
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#### The Dynamic Program
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#### The dynamic program
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```{index} single: Lucas Model; Dynamic Program
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```
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* Each one determines the other, since $c(\pi, y) = \pi (y + p(y))- \pi' (\pi, y) p(y)$
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#### Next Steps
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#### Next steps
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What we need to do now is determine equilibrium prices.
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However, as Lucas showed, there is a related but more straightforward way to do this.
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#### Equilibrium Constraints
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#### Equilibrium constraints
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```{index} single: Lucas Model; Equilibrium Constraints
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```
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Prices must adjust to satisfy these two constraints.
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#### The Equilibrium Price Function
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#### The equilibrium price function
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```{index} single: Lucas Model; Equilibrium Price Function
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```
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Before discussing it further we want to solve out for prices.
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### Solving the Model
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### Solving the model
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```{index} single: Lucas Model; Solving
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```
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Let's look at how to obtain it.
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#### Setting up the Problem
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#### Setting up the problem
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Instead of solving for it directly we'll follow Lucas' indirect approach, first setting
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This means that we can use fixed point theory to obtain and compute the solution.
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#### A Little Fixed Point Theory
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#### A little fixed point theory
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```{index} single: Fixed Point Theory
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```
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on the left-hand side gives {eq}`ltbc` with $\alpha := \beta$.
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(lt_comp_eg)=
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### Computation -- An Example
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### Computation -- an example
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```{index} single: Lucas Model; Computation
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```

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