Inhalt

[ 977PADCEMEK22 ] KS (*)Empirical Economics

Versionsauswahl
(*) 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 2023W
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
Abhaltungssprache Englisch
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)
Präsenzlehrveranstaltung
Teilungsziffer 200
Zuteilungsverfahren Zuteilung nach Vorrangzahl