Details

Fakultät	Wirtschafts- und Sozialwissenschaftliche Fakultät
Bereich	Volkswirtschaftslehre
Code	UE-EEP.00358
Sprachen	Englisch
Art der Unterrichtseinheit	Vorlesung
Kursus	Bachelor
Semester	HS-2024

Zeitplan und Räume

Vorlesungszeiten	Mittwoch 08:15 - 11:00, Wöchentlich (Herbstsemester)
Stunden pro Woche	3

Unterricht

Verantwortliche	Huber Martin
Dozenten-innen	Strittmatter Anthony
Assistenten	Stoller Andreas
Beschreibung	This course is an extension of the basic course "Statistics II". Building on the introductory econometric concepts of the latter, "Applied Econometrics" deals with econometric methods and their practical application in the presence of particular problems such as: 1) nonlinear models 2) heteroscedasticity (non-constant variances of the residuals) 3) non-random sampling 4) measurement errors in variables 5) omitted variables and endogeneity 6) time constant omitted variables (“fixed effects”) in panel data As practical illustration and for further intuition, the contents of the lecture are applied to real data in 4 PC lab sessions using the statistical software “R”. A short introduction to “R” is provided in the first PC lab. The course documents you find on our website (see "Other information" below)
Lernziele	Students should be able to understand and practically apply the statistical/econometric models and methods discussed in the lecture.
Soft Skills	Ja
ausserhalb des Bereichs	Nein
BeNeFri	Ja
Mobilität	Ja
UniPop	Nein
Hörer	Ja

Dokument

Bibliographie

1) Wooldridge, J. M. (2016): Introductory Econometrics. A Modern Approach, 6th edition, Cengage Learning. 2) Angrist, J. D. and J.-S. Pischke (2014): Mastering ’Metrics: The Path from Cause to Effect, Princeton University Press.

Schriftliche Prüfung - HS-2024, Wintersession 2025

Datum	07.01.2025 11:00 - 12:30
Bewertungsmodus	Nach Note
Beschreibung	Examination time: 90 Min. and participation in PC labs

Schriftliche Prüfung - FS-2025, Wiederholungssession 2025

Datum	20.08.2025 11:00 - 12:30
Bewertungsmodus	Nach Note
Beschreibung	Examination time: 90 Min. and participation in PC labs