Peer feedback

[laug030]

The most elegant solution in the project was: (explain what and why)
The most elegant solution in the project was the Edgeworth Box-representation of all optimization problems in Exercise 6b. The authors have throughout the exercises saved the optimal allocations under names that they call in this exercise and represent it within the Pareto Optimal figure from Exercise 1, which clearly shows how all the exercises provide Pareto Optimal solutions where nobody is worse off than in their initial endowment.

The hardest section of code in the project to understand was: (explain what)
Your hand-in is thorough and reasonanbly documented, so there is nothing in particular that we are unable to understand without studying the documentation and using the debugger.
This part of the project could be better documented: (explain what)
In general, the notebook could benefit from more detailed documentation, especially regarding the purpose and usage of specific imports and instances. Comments explaining the reasoning behind certain code decisions (like the specific matplotlib settings) would enhance understanding.
An idea for an improvement/clarification could be: (explain what and why)D
In question 3, it is not thoroughly described why the market clearing price is found where the two error graphs intersect - this could be described more thoroughly. Also, you could describe better why the error graphs look as they do - why is one linearly increasing and the other is exponentially decreasing?

An idea for an extension could be: (explain what and why)
In the figure in Exercise 1, you could include axis-titles and numbers to clarify that we’re in an Edgeworth Box with total endowment equal to 1 for each good. It is not super clear which axes are showing consumption for person A or B.