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Präsenz
Event
Economics III: Introduction to Econometrics [SS232520016]
Type
lecture (V)Präsenz
Term
SS 2023SWS
2Language
DeutschAppointments
13Organisation
- KIT-Fakultät für Wirtschaftswissenschaften
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
- 17.04.2023 15:45 - 17:15 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
- 24.04.2023 15:45 - 17:15 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
- 08.05.2023 15:45 - 17:15 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
- 15.05.2023 15:45 - 17:15 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
- 22.05.2023 15:45 - 17:15 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
- 05.06.2023 15:45 - 17:15 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
- 12.06.2023 15:45 - 17:15 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
- 19.06.2023 15:45 - 17:15 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
- 26.06.2023 15:45 - 17:15 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
- 03.07.2023 15:45 - 17:15 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
- 10.07.2023 15:45 - 17:15 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
- 17.07.2023 15:45 - 17:15 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
- 24.07.2023 15:45 - 17:15 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
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