dual_analysis
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dual_analysis [2020/03/26 07:43] – matsz | dual_analysis [2020/04/10 08:59] – [Constrained optimisation background] matsz | ||
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The functions //f// and //g// depend on some parameters, e.g. prices and technical i/o coefficients respectively that were not shown in the exposition above in order to reduce the size of the expressions. By changing such parameters, we introduce shocks to the model. Assume that in a reference scenario, we have prices \(p^0\) and technology \(a^0\) resulting in the solution \( (x_1^0, | The functions //f// and //g// depend on some parameters, e.g. prices and technical i/o coefficients respectively that were not shown in the exposition above in order to reduce the size of the expressions. By changing such parameters, we introduce shocks to the model. Assume that in a reference scenario, we have prices \(p^0\) and technology \(a^0\) resulting in the solution \( (x_1^0, | ||
- | In this simulation we now would like to know more about why some particular activity \(x_i\) reacts as it does, i.e. why \(x_i^*\) is different from \(x_i^0\). We then compute each term in the first order conditions, and compare the two simulation. To be slightly more explicit, we can assume that the resources are // | + | In this simulation we now would like to know more about why some particular activity \(x_i\) reacts as it does, i.e. why \(x_i^*\) is different from \(x_i^0\). We then compute each term in the first order conditions, and compare the two simulation. To be slightly more explicit, we can assume that the resources are // |
+ | FIXME | ||
\begin{align} | \begin{align} | ||
\begin{split} | \begin{split} |
dual_analysis.txt · Last modified: 2022/11/07 10:23 by 127.0.0.1