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lectures/mccall_model.md

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@@ -370,11 +370,7 @@ We are going to use JAX to accelerate our code.
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* We'll use NamedTuple for our model class to maintain immutability, which works well with JAX's functional programming paradigm.
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Here's a class that stores the data and computes the values of state-action pairs,
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i.e. the value in the maximum bracket on the right hand side of the Bellman equation {eq}`odu_pv2p`,
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given the current state and an arbitrary feasible action.
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Default parameter values are embedded in the class.
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Here's a class that stores the model parameters with default values, and a separate function that computes the values of state-action pairs (i.e., the value in the maximum bracket on the right hand side of the Bellman equation {eq}`odu_pv2p`).
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```{code-cell} python3
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class McCallModel(NamedTuple):

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