This course teaches the application of digital techniques for solving models in economics based using numerical software, primarily Python. The course has the dual aim of teaching how to use digital tools for solving economic models and to apply these techniques to microeconomic models that are relevant for optimal decision making in firms.
We start the course with a recap of Python and how we can use Python to solve problems in mathematics as well to produce graphs.
We then go through different topics in Business Economics. For each topic, we go briefly through the economic content of the topics with an emphasis of the explicit models used. We then proceed to implement some of these models numerically and to analyse the models using numerical techniques.
The main substantive topics covered are:
- The market system and the limitation of markets.
- The economics of firms in markets.
- Factor markets.
- Economic analysis with forward looking agents.
In the final part of the course, students form groups and perform in-depth analyses of economic / business problems using the techniques taught in the course. Some emphasis is put on presenting analyses in an accessible way.
Dette er et utdrag fra den komplette kursbeskrivelsen for kurset. Dersom du er aktiv student på BI, kan du finne de komplette kursbeskrivelsene med informasjon om bl.a. læringsmål, læreprosess, pensum og eksamen på portal.bi.no. Vi tar forbehold om endringer i denne beskrivelsen.