Course WIW-FE-WME-K-6
Quantitative Methods in Economics (2K, 3.0 LP)
Course Type
SWS | Type | Course Form | CP (Effort) | Presence-Time / Self-Study | |
---|---|---|---|---|---|
2 | K | 3.0 CP | 30 h | 60 h | |
(2K) | 3.0 CP | 30 h | 60 h |
Basedata
Contents
The lecture consists of two parts: Dynamical Systems and Statistics. First, we’ll discuss linear parametric regression models. We’ll start with Simple Regression, which is generalized later on, when we talk about the General Linear Regression Model. After this first chapter, we’ll go on to Generalized Linear Models, and we’ll discuss Binary Regression.
In the Dynamical Systems part, we’ll start with examining a linear one-dimensional system, i.e. we’ll define and analyze steady states and their stability. Then, we’ll consider non-linear non-dimensional systems and extend our results on existence and stability to the non-linear case. We’ll use the same approach when discussing multidimensional dynamics.
Literature
Jan Wenzelburger: Dynamische Systeme, eine Einführung, Manuscript
Oded Galor: Discrete Dynamical Systems, Springer Verlag, Skript
Lecture Notes, Problem Sets
Requirements for attendance (informal)
None
Requirements for attendance (formal)
None
References to Course [WIW-FE-WME-K-6]
Module | Name | Context | |
---|---|---|---|
[WIW-KM-QTM4-M-6] | Quantitative Methods 4(CP) | P: Obligatory | 2K, 3.0 LP |
[WIW-KM-QTM-M-6] | Quantitative Methods | WP: Obligation to choose | 2K, 3.0 LP |