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Fix the maths and markup issues in this branch
- Key insight: the Euler equation {eq}`ree_comp7` now carries H(Y_t) rather than Y_{t+1}, so matching it to the planner's equation {eq}`comp16` needs the equilibrium condition H(Y_t) = Y_{t+1} as well as y_t = Y_t. Previously the text claimed the two were identical by algebra alone, which is no longer true. State the condition explicitly. - Replace a literal Unicode omega (U+03C9) with \omega in the new exercise derivation, where the neighbouring integral already used \omega. MathJax may tolerate the raw character but the LaTeX builder is unlikely to. - Add the missing blank lines around that display block; without them the $$ ran straight into the preceding sentence and into {solution-end}. - Blackwell paragraph: fix "intuively", "monotoncity" and "the Blackwell's", and write the aggregate law of motion as Y_{t+1} rather than y_{t+1}, since h(Y_t, Y_t) is aggregate output rather than an individual firm's. - Add the missing space in a {doc} role, matching the other two in this lecture. Co-Authored-By: xuanguang-li <xuanguang-li@users.noreply.github.com> Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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lectures/rational_expectations.md

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@@ -440,9 +440,11 @@ Indeed, there is no guarantee that direct iterations on $\Phi$ converge [^fn_im]
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There are examples in which these iterations diverge.
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To see this intuively from Blackwell's sufficient condition, let us assume there are two beliefs $H_a(Y) > H_b(Y)$ for any $Y$.
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To see this intuitively, consider Blackwell's sufficient condition and suppose there are two beliefs with $H_a(Y) > H_b(Y)$ for every $Y$.
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Then by Euler equation {eq}`ree_comp7`, the optimal $y_{t+1} = h(Y_t, Y_t)$ decreases as $H$ increases, which indicates the monotoncity required in the Blackwell's condition is not satisfied.
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By the Euler equation {eq}`ree_comp7`, the actual law of motion $Y_{t+1} = h(Y_t, Y_t)$ decreases as $H$ increases, so $\Phi$ reverses the ordering of beliefs.
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Hence the monotonicity required by Blackwell's condition fails.
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Fortunately, another method works here.
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Return to equation {eq}`ree_comp7` and set $y_t = Y_t$ for all $t$.
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A small amount of algebra will convince you that when $y_t=Y_t$, equations {eq}`comp16` and {eq}`ree_comp7` are identical.
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In a rational expectations equilibrium the perceived and actual laws of motion agree, so $H(Y_t) = Y_{t+1}$.
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Imposing this alongside $y_t = Y_t$, a small amount of algebra will convince you that equations {eq}`comp16` and {eq}`ree_comp7` are identical.
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Thus, the Euler equation for the planning problem matches the second-order difference equation
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that we derived by
@@ -600,7 +604,7 @@ If there were a unit measure of identical competitive firms all behaving accord
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:class: dropdown
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```
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To map a problem into a {doc}`discounted optimal linear control problem<lqcontrol>`, we need to define
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To map a problem into a {doc}`discounted optimal linear control problem <lqcontrol>`, we need to define
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- state vector $x_t$ and control vector $u_t$
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- matrices $A, B, Q, R$ that define preferences and the law of
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$$
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For the case of a unit measure of firms,
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$$
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\begin{aligned}
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\int_0^1 y_{t+1}(\omega)\, d\omega &= h_0 + h_1 \int_0^1 y_{t}(\omega)\, dω + h_2 Y_t \\
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\int_0^1 y_{t+1}(\omega)\, d\omega
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&= h_0 + h_1 \int_0^1 y_{t}(\omega)\, d\omega + h_2 Y_t \\
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Y_{t+1} &= h_0 + h_1 Y_t + h_2 Y_t \\
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Y_{t+1} &= 96.949 + (1 - 0.046) Y_t
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\end{aligned}
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$$
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```{solution-end}
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```
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