Es ist eine neuere Version 2023W dieser LV im Curriculum Masterstudium Wirtschaftsinformatik 2023W vorhanden.
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload
Ausbildungslevel
Studienfachbereich
VerantwortlicheR
Semesterstunden
Anbietende Uni
3 ECTS
M1 - Master 1. Jahr
Volkswirtschaftslehre
Gerald Pruckner
2 SSt
Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum
Masterstudium Economic and Business Analytics 2022W
Ziele
(*)Students master the fundamentals of econometrics.
They are familiar with the most important concepts of mathematical statistics such as estimation and testing.
They know the differences between different types of data and have experience in data collection and preparation.
They understand empirical economic papers and can also evaluate their quality.
They know the strengths and limitations of multiple regression analyses and can interpret estimation coefficients depending on different functional forms.
They are able to independently conduct simple empirical analyses using business and economic data and to interpret the results.
The students know the difference between descriptive and causal analysis.
They have an overview of the possibilities of causal identification.
Lehrinhalte
(*)
Basic statistical concepts (samples, probability distributions and their moments, ...)
Estimation and testing
Cross sectional data, time series, and panel data
Descriptive analysis and graphical representations
The linear regression model
The multivariate regression model -- model specification
Introduction to causal identification
Beurteilungskriterien
(*)Written exam
Lehrmethoden
(*)Lecture
Literatur
(*)to be announced in lecture
Lehrinhalte wechselnd?
Nein
Frühere Varianten
Decken ebenfalls die Anforderungen des Curriculums ab (von - bis) 977PADTEMEK21: KS Empirical Economics (2021W-2022S)
