Inhalt

[ 977PADCEMEU22 ] IK (*)Empirical Economics

Versionsauswahl
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 Wolfgang Frimmel 2 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Masterstudium Economic and Business Analytics 2022W
Ziele (*)Students master the fundamentals of econometrics and of the statistical package Stata. They are familiar with the most important concepts of descriptive statistics and multiple regression analyses and can apply them on real data. They are able to independently conduct simple empirical analyses using business and economic data and to correctly interpret the results and statistical significance. They know the strengths and limitations of multiple regression analyses and can also interpret estimation coefficients depending on different functional forms. They understand empirical economic papers and can also evaluate their quality.
Lehrinhalte (*)
  • Introduction into the statistical package Stata
  • Descriptive data analysis
  • Graphical representation of data
  • Estimation of linear regression models and model specifications in Stata
  • Interpretation of estimation results based on real data
Beurteilungskriterien (*)Computer exam and problem set
Lehrmethoden (*)Lecture, discussion of problem sets
Literatur (*)to be announced in lecture
Lehrinhalte wechselnd? Nein
Sonstige Informationen (*)To enroll in the IK course, students must also be enrolled in (or have already taken) the course "KS Empirical Economics".
Frühere Varianten Decken ebenfalls die Anforderungen des Curriculums ab (von - bis)
977PADTEMEU21: IK Empirical Economics (2021W-2022S)
Präsenzlehrveranstaltung
Teilungsziffer 40
Zuteilungsverfahren Zuteilung nach Vorrangzahl