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Event

Economics III: Introduction to Econometrics [SS212520016]

Type

lecture (V)
Online

Term

SS 2021

SWS

2

Language

Deutsch

Appointments

14

Links

http://statistik.econ.kit.edu/
ILIAS

Lecturers

Organisation

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 | 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

12.04.2021 16:00 - 17:30 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
19.04.2021 16:00 - 17:30 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
26.04.2021 16:00 - 17:30 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
03.05.2021 16:00 - 17:30 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
10.05.2021 16:00 - 17:30 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
17.05.2021 16:00 - 17:30 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
31.05.2021 16:00 - 17:30 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
07.06.2021 16:00 - 17:30 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
14.06.2021 16:00 - 17:30 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
21.06.2021 16:00 - 17:30 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
28.06.2021 16:00 - 17:30 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
05.07.2021 16:00 - 17:30 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
12.07.2021 16:00 - 17:30 - Room: 30.35 Hochspannungstechnik-Hörsaal (HSI)
19.07.2021 16:00 - 17:30 - 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