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Bryce
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Try writing your equation explicitly with a conditional expectation operator:

$$ \mathbb{E}_t f(\alpha_t, \beta_t, s_t, s_{t+1}) = 0$$

Hopefully this clarifies things. You can take the total derivative as you normally would with any function, however $s_{t+1}$ is a random variable since it is not predetermined. Just pay attention to the conditional expectation operator and everything will be fine (it's a linear operator). Ultimately you are considering all cases of $s_{t+1}$ weighted by their probability.

Since $\mathbb{E}_t$ integrates over shocks, you can differentiate under the integral sign by Leibniz's integration rule.

Try writing your equation explicitly with a conditional expectation operator:

$$ \mathbb{E}_t f(\alpha_t, \beta_t, s_t, s_{t+1}) = 0$$

Hopefully this clarifies things. You can take the total derivative as you normally would with any function, however $s_{t+1}$ is a random variable since it is not predetermined. Just pay attention to the conditional expectation operator and everything will be fine (it's a linear operator). Ultimately you are considering all cases of $s_{t+1}$ weighted by their probability.

Try writing your equation explicitly with a conditional expectation operator:

$$ \mathbb{E}_t f(\alpha_t, \beta_t, s_t, s_{t+1}) = 0$$

Hopefully this clarifies things. You can take the total derivative as you normally would with any function, however $s_{t+1}$ is a random variable since it is not predetermined. Ultimately you are considering all cases of $s_{t+1}$ weighted by their probability.

Since $\mathbb{E}_t$ integrates over shocks, you can differentiate under the integral sign by Leibniz's integration rule.

Source Link
Bryce
  • 744
  • 3
  • 4

Try writing your equation explicitly with a conditional expectation operator:

$$ \mathbb{E}_t f(\alpha_t, \beta_t, s_t, s_{t+1}) = 0$$

Hopefully this clarifies things. You can take the total derivative as you normally would with any function, however $s_{t+1}$ is a random variable since it is not predetermined. Just pay attention to the conditional expectation operator and everything will be fine (it's a linear operator). Ultimately you are considering all cases of $s_{t+1}$ weighted by their probability.