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This is our Github Repository containing the Python projects for the course: Introduction to Programming and Numerical Analysis at the University of Copenhagen

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NumEconCopenhagen/projects-2024-sheng-og-anton

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sheng-og-anton

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This repository contains the following four projects:

We solve the Exchange Economy, where we find the optimal allocations for consumer A based on different assumptions on the objective function and the ressource constraint.

We fetch data from Danmarks Statistik (Statistikbanken) on Exchange rates (EUR, USD, and CNY) in 100 DKK and show that danish inflation rate does not put a pressure on the central currency parity, since it does not fluctuate by much and never outside the band of $\pm$ 2.25 percent. Moreover, we find the same result if we use the Eurozone inflation.

We numerically solve a simple Real Business Cycle Model (RBC model), where technology, A, is exogenous and set to 1. Furthermore, we extend the model by using a CES production function instead of a Cobb-Douglas production function. The code of the equations in the system are mostly from Chad Fulton (2015), however, we modify the technology equation and production function in the extension of the model. Lastly, we calibrate the model by analyzing how the steady state values change as a result of different parameter values.

It is about the production economy with CO2 taxation (problem 1), Career choice model (problem 2), and Barycentric interpolation (problem 3).

Use of AI tools

In all of these projects, we have used AI tools (ChatGPT 4o) to optimize our code and to get inspired, when we felt stuck because of bugs.