fix(mop): formatting
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@ -8,9 +8,9 @@ scripts: ["/scripts/models-of-production.js"]
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This post offers a basic introduction to the Solow, Romer, and Romer-Solow economic models, as taught by [Vladimir Smirnyagin](https://www.vladimirsmirnyagin.com/) and assisted by [Donghyun Suh](https://www.donghyunsuh.com/) in Intermediate Macroeconomics (ECON 3020) during the Spring semester of 2024 at the University of Virginia.
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## solow
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# solow
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### introduction
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## introduction
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The Solow Model is an economic model of production that incorporates the idea of capital accumulation. Based on the [Cobb-Douglas production function](https://en.wikipedia.org/wiki/Cobb%E2%80%93Douglas_production_function), the Solow Model describes production as follows:
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@ -37,7 +37,7 @@ Including the production function, these four ideas encapsulate the Solow Model:
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3. $L_t = \bar{L}$
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4. $I_t = \bar{s} Y_t$
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### solving the model
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## solving the model
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Visualizing the model, namely output as a function of capital, provides helpful intuition before solving it.
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@ -138,7 +138,7 @@ $$
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(k^*,y^*)=(\frac{K^*}{\bar{L}},\frac{Y^*}{\bar{L}}) =((\frac{\bar{s}\bar{A}}{\bar{d}})^\frac{1}{1-\alpha}, \bar{A}^\frac{1}{1-\alpha}(\frac{\bar{s}}{\bar{d}})^\frac{\alpha}{1-\alpha})
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$$
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### analysis
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## analysis
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Using both mathematical intuition and manipulating the visualization above, we find that:
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@ -159,9 +159,9 @@ $$
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We see that TFP is more important in explaining the differences in per-capital output ($\frac{1}{1-\alpha}>\frac{\alpha}{1-\alpha},\alpha\in[0,1)$). Notably, the Solow Model does not give any insights into how to alter the most important predictor of output, TFP.
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## romer
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# romer
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### introduction
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## introduction
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How, then, can we address these shortcomings?
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@ -288,7 +288,7 @@ Playing with the sliders, this graph may seem underwhelming in comparison to the
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</table>
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</div>
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### solving the model
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## solving the model
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To find the output in terms of exogenous parameters, first note that
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@ -314,7 +314,7 @@ $$
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Y_t=A_t L_{yt}=A_0(1+\bar{z}\bar{l}\bar{L})^t(1-\bar{l})\bar{L}
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$$
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### analysis
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## analysis
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We see the Romer model exhibits long-run growth because ideas have non-diminishing returns due to their nonrival nature. In this model, capital and income eventually slow but ideas continue to yield increasing, unrestricted returns.
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@ -366,9 +366,9 @@ Changes in the growth rate of ideas, then, alter the growth rate of output itsel
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Notably, while both the Romer and Solow Models help to analyze growth across countries, they both are unable to resolve one question: why can and do investment rates and TFP differ across contries? This is a more fundamental economic question involving culture, institutions, and social dynamics—one day I hope we'll have an answer.
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## romer-solow
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# romer-solow
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### introduction
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## introduction
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While the Romer Model provides an avenue for long-run economic growth, it is anything but realistic—surely economies due not grow at an ever-increasing blistering rate into perpetuity. A model in which:
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@ -395,7 +395,7 @@ Combining the dynamics of the Romer Model's ideas and the Solow Model's capital
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</div>
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</div>
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### solving the model
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## solving the model
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Based on the the motivations for creating this model, it is more useful to first analyze the growth rates of equilibrium long run output $Y_t^*$.
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@ -445,7 +445,7 @@ $$
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Y_t^*={(A_0(1+\bar{z}\bar{l}\bar{L})^t})^\frac{1}{1-\alpha}(\frac{\bar{s}}{\frac{\bar{z}\bar{l}\bar{L}}{1-\alpha}+\bar{d}})^\frac{\alpha}{1-\alpha}(1-\bar{l})\bar{L}
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$$
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### analysis
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## analysis
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First looking at the growth rate of output, $g*Y^*=\frac{\bar{z}\bar{l}\bar{L}}{1-\alpha}$, idea-driving factors and an increased allocation of labor to output increase the equilibrium Balanced Growth Path—the \_level\* of long-run growth. Thus, this model captures the influences of both capital and ideas on economic growth.
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