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Präsenz
Event
Economics III: Introduction to Econometrics [SS242520016]
Type
lecture (V)Präsenz
Term
SS 2024SWS
2Language
DeutschAppointments
14Organisation
- Ökonometrie und Statistik
Part of
- Brick Economics III: Introduction in Econometrics | Industrial Engineering and Management (B.Sc.)
- Brick Economics III: Introduction in Econometrics | Economics Engineering (B.Sc.)
- Brick Economics III: Introduction in Econometrics | Digital Economics (B.Sc.)
- Brick Economics III: Introduction in Econometrics | Information Systems (B.Sc.)
- Brick Economics III: Introduction in Econometrics | Information Engineering and Management (B.Sc.)
Literature
Von Auer: Ökonometrie ISBN 3-540-00593-5
Goldberger: A course in Econometrics ISBN 0-674-17544-1
Gujarati. Basic Econometrics ISBN 0-07-113964-8
Schneeweiß: Ökonometrie ISBN 3-7908-0008-2
Appointments
- 15.04.2024 15:45 - 17:15 - Room: 20.40 Neuer Hörsaal Architektur
- 22.04.2024 15:45 - 17:15 - Room: 20.40 Neuer Hörsaal Architektur
- 29.04.2024 15:45 - 17:15 - Room: 20.40 Neuer Hörsaal Architektur
- 06.05.2024 15:45 - 17:15 - Room: 20.40 Neuer Hörsaal Architektur
- 13.05.2024 15:45 - 17:15 - Room: 20.40 Neuer Hörsaal Architektur
- 27.05.2024 15:45 - 17:15 - Room: 20.40 Neuer Hörsaal Architektur
- 03.06.2024 15:45 - 17:15 - Room: 20.40 Neuer Hörsaal Architektur
- 10.06.2024 15:45 - 17:15 - Room: 20.40 Neuer Hörsaal Architektur
- 17.06.2024 15:45 - 17:15 - Room: 20.40 Neuer Hörsaal Architektur
- 24.06.2024 15:45 - 17:15 - Room: 20.40 Neuer Hörsaal Architektur
- 01.07.2024 15:45 - 17:15 - Room: 20.40 Neuer Hörsaal Architektur
- 08.07.2024 15:45 - 17:15 - Room: 20.40 Neuer Hörsaal Architektur
- 15.07.2024 15:45 - 17:15 - Room: 20.40 Neuer Hörsaal Architektur
- 22.07.2024 15:45 - 17:15 - Room: 20.40 Neuer Hörsaal Architektur
Note
Learning objectives:
- Familiarity with the basic concepts and methods of econometrics
- Preparation of simple econometric surveys
Content:
- Simple and multiple linear regression (estimating parameters, confidence interval, testing, prognosis, testing assumptions)
- Model assessment
Requirements:
Knowledge of the lectures Statistics I + II is required.
Workload:
Total workload for 5 CP: approx. 150 hours
Attendance: 30 hours
Preparation and follow-up: 120 hours