Introduction to Econometrics (41092)
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Instructors
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Lecture
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Prof . Dr. Michael Kvasnicka
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Tutorial
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M.Sc. Omar Martin Fieles-Ahmad
M.Sc. Mohamad Alhussein Saoud
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Time
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Lecture
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Monday
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11am - 1pm
G22A-013
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Tutorial
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Monday
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3pm - 5pm
G22A-012
5pm - 7pm
G22A-012
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| General information about this course can be found at the module description and at the LSF, lecture notes at E-Learning. |
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Contents:
The course provides a basic understanding of econometrics from an applied perspective, in particular regression analysis and how to apply econometrics to real-world problems. Tutorials include sessions in the computer lab, where students work with statistical software and real data.
- The Nature of Econometrics and Economic Data
- The Simple Regression Model
- Multiple Regression Analysis: Estimation
- Multiple Regression Analysis: Inference
- Multiple Regression Analysis: OLS Asymptotics
- Multiple Regression Analysis: Data Scaling, Functional Form, Goodness-of-Fit
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References:
Wooldridge, J.M. (2013), Introductory Econometrics. A Modern Approach, 5th international edition, South-Western, Cengage Learning.
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