fix(post): fix folding

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Barrett Ruth 2024-06-26 22:43:25 -05:00
parent c2e8721fa1
commit b6b3e08886

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@ -211,10 +211,13 @@
\bar{A}^\frac{1}{1-\alpha}(\frac{\bar{s}}{\bar{d}})^\frac{\alpha}{1-\alpha})\] \bar{A}^\frac{1}{1-\alpha}(\frac{\bar{s}}{\bar{d}})^\frac{\alpha}{1-\alpha})\]
</p> </p>
</div> </div>
<div class="fold"><h3>analysis</h3></div> <div class="fold">
<h3>analysis</h3>
</div>
<div>
<p> <p>
Using both mathematical intuition and manipulating the visualization Using both mathematical intuition and manipulating the
above, we find that: visualization above, we find that:
</p> </p>
<ul style="list-style: unset"> <ul style="list-style: unset">
<li> <li>
@ -235,14 +238,18 @@
investments of larger magnitude, leading to an accelerated investments of larger magnitude, leading to an accelerated
reversion to the steady-state reversion to the steady-state
</li> </li>
<li>
Economies stagnate at the steady-state \((K^*,Y^*)\)&mdash;this
model provides no avenues for long-run growth.
</li>
</ul> </ul>
<p> <p>
Lastly (and perhaps most importantly), exogenous parameters Lastly (and perhaps most importantly), exogenous parameters
\(\bar{s}, \bar{d}\), and \(\bar{A}\) all have immense ramifications \(\bar{s}, \bar{d}\), and \(\bar{A}\) all have immense
on economic status. For example, comparing the difference in country ramifications on economic status. For example, comparing the
\(C_1\)&apos;s output versus \(C_2\)&apos;s using the Solow Model, difference in country \(C_1\)&apos;s output versus \(C_2\)&apos;s
we find that a difference in economic performance can only be using the Solow Model, we find that a difference in economic
explained by these factors: \[ performance can only be explained by these factors: \[
\frac{Y_1}{Y_2}=\frac{\bar{A_1}}{\bar{A_2}}(\frac{\bar{s_1}}{\bar{s_2}})^\frac{\alpha}{1-\alpha} \frac{Y_1}{Y_2}=\frac{\bar{A_1}}{\bar{A_2}}(\frac{\bar{s_1}}{\bar{s_2}})^\frac{\alpha}{1-\alpha}
\] \]
</p> </p>
@ -250,11 +257,15 @@
We see that TFP is more important in explaining the differences in We see that TFP is more important in explaining the differences in
per capital output per capital output
(\(\frac{1}{1-\alpha}>\frac{\alpha}{1-\alpha},\alpha\in[0,1)\)). (\(\frac{1}{1-\alpha}>\frac{\alpha}{1-\alpha},\alpha\in[0,1)\)).
However, the Solow Model does not give any insight in to how to <!-- TODO: poor phrasing -->
alter what it considers to be the most important predictor of Notably, the Solow Model does not give any insights into how to
output. alter the most important predictor of output, TFP.
</p> </p>
</div>
<h2>romer</h2> <h2>romer</h2>
<!-- TODO: transition talking about "Romer model does, though" -->
<!-- TODO: say the romer model provides avenue for LR growth -->
<!-- TODO: dynamics?????? -->
<h2>romer-solow</h2> <h2>romer-solow</h2>
</article> </article>
</div> </div>