Details

Faculty	Faculty of Management, Economics and Social Sciences
Domain	Economics
Code	UE-EEP.00358
Languages	English
Type of lesson	Lecture
Level	Bachelor
Semester	SA-2022

Schedules and rooms

Summary schedule	Wednesday 08:15 - 11:00, Hebdomadaire (Autumn semester)
Hours per week	3

Teaching

Teachers	Huber Martin
Assistants	Oberhänsli Sarina Joy Stoller Andreas
Description	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)
Training objectives	Students should be able to understand and practically apply the statistical/econometric models and methods discussed in the lecture.
Softskills	Yes
Off field	No
BeNeFri	Yes
Mobility	Yes
UniPop	No
Auditor	Yes

Documents

Bibliography

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.

Written exam - SA-2022, Session d'hiver 2023

Date	10.01.2023 11:00 - 12:30
Assessments methods	By rating
Descriptions of Exams	Examination time: 90 Min. and participation in PC labs