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Copy file name to clipboardExpand all lines: lectures/calvo_machine_learn.md
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@@ -156,12 +156,6 @@ the linear difference equation {eq}`eq_grad_old2` can be solved forward to get:
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\theta_t = \frac{1}{1+\alpha} \sum_{j=0}^\infty \left(\frac{\alpha}{1+\alpha}\right)^j \mu_{t+j}, \quad t \geq 0
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```
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```{note}
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Equation {eq}`eq_grad_old3` shows that an equivalence class of continuation money growth sequences $\{\mu_{t+j}\}_{j=0}^\infty$ deliver the same $\theta_t$. Consequently, equations {eq}`eq_grad_old1` and {eq}`eq_grad_old3` show that $\theta_t$ intermediates
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how choices of $\mu_{t+j}, \ j=0, 1, \ldots$ impinge on time $t$
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real balances $m_t - p_t = -\alpha \theta_t$. Chang {cite}`chang1998credible` exploits this
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fact extensively.
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```
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@@ -1189,9 +1183,9 @@ For example, we could have regressed $\theta_t$ on $\mu_t$ and obtained the same
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Actually, wouldn't that direction of fit have made more sense?
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After all, the Ramsey planner is **choosing** $\vec \mu$while $\vec \theta$ is the outcome.
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After all, the Ramsey planner chooses $\vec \mu$, while $\vec \theta$ is an outcome that reflects the represenative agent's response to the Ramsey planner's choice of $\vec \mu$.
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Which is **cause** and which is **effect**?
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Isn't it more natural then to expect that we'd learn more about the structure of the Ramsey problem from a regression of components of $\vec \theta$ on components of $\vec \mu$?
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To answer such questions, we'll have to deploy more economic theory.
Evidently, these agree with the relationships that we discovered by running regressions on the Ramsey outcomes $\vec \mu^R, \vec \theta^R$ that we constructed with either of our machine learning algorithms.
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We have set the stage for diving into this quantecon lecture {doc}`calvo`.
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We have set the stage for this quantecon lecture {doc}`calvo`.
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We close this lecture by giving a hint about an insight of Chang {cite}`chang1998credible` that
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underlies much of quantecon lecture {doc}`calvo`.
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Chang noticed how equation {eq}`eq_grad_old3` shows that an equivalence class of continuation money growth sequences $\{\mu_{t+j}\}_{j=0}^\infty$ deliver the same $\theta_t$.
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Consequently, equations {eq}`eq_grad_old1` and {eq}`eq_grad_old3` indicate that $\theta_t$ intermediates how the government's choices of $\mu_{t+j}, \ j=0, 1, \ldots$ impinge on time $t$
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real balances $m_t - p_t = -\alpha \theta_t$.
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In lecture {doc}`calvo`, we'll see how Chang {cite}`chang1998credible` exploits this
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