feat(post): solow model
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</p>
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</div>
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<div class="fold"><h3>analysis</h3></div>
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<p>discuss limitations</p>
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<p>
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Using both mathematical intuition and manipulating the visualization
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above, we find that:
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</p>
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<ul style="list-style: unset">
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<li>
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\(\bar{A}\) has a positive relationship with steady-state output
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</li>
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<li>
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Capital is influenced by workforce size, TFP, and savings rate
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</li>
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<li>
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Capital output share's \(\alpha\) impact on output is twofold:
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<ol>
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<li>Directly through capital quantity</li>
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<li>Indirectly through TFP</li>
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</ol>
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</li>
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<li>
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Large deviations in capital from steady-state \(K^*\) induce net
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investments of larger magnitude, leading to an accelerated
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reversion to the steady-state
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</li>
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</ul>
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<p>
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Lastly (and perhaps most importantly), exogenous parameters
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\(\bar{s}, \bar{d}\), and \(\bar{A}\) all have immense ramifications
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on economic status. For example, comparing the difference in country
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\(C_1\)'s output versus \(C_2\)'s using the Solow Model,
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we find that a difference in economic performance can only be
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explained by these factors: \[
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\frac{Y_1}{Y_2}=\frac{\bar{A_1}}{\bar{A_2}}(\frac{\bar{s_1}}{\bar{s_2}})^\frac{\alpha}{1-\alpha}
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\]
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</p>
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<p>
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We see that TFP is more important in explaining the differences in
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per capital output
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(\(\frac{1}{1-\alpha}>\frac{\alpha}{1-\alpha},\alpha\in[0,1)\)).
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However, the Solow Model does not give any insight in to how to
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alter what it considers to be the most important predictor of
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output.
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</p>
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<h2>romer</h2>
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<h2>romer-solow</h2>
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</article>
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