Syllabus

Title
0758 Econometrics I
Instructors
Assoz.Prof. PD Dr. Zehra Eksi-Altay, BSc.MSc.
Contact details
  • Type
    PI
  • Weekly hours
    2
  • Language of instruction
    Englisch
Registration
09/19/19 to 09/28/19
Registration via LPIS
Notes to the course
Subject(s) Bachelor Programs
Dates
Day Date Time Room
Tuesday 10/01/19 12:30 PM - 02:30 PM TC.5.03
Tuesday 10/08/19 12:30 PM - 02:30 PM TC.5.03
Tuesday 10/15/19 12:30 PM - 02:30 PM TC.5.03
Tuesday 10/22/19 12:30 PM - 02:30 PM TC.5.03
Tuesday 10/29/19 12:30 PM - 02:30 PM TC.5.03
Tuesday 11/05/19 12:30 PM - 02:30 PM TC.2.02
Tuesday 11/12/19 12:30 PM - 02:30 PM TC.5.27
Tuesday 11/19/19 12:30 PM - 02:30 PM TC.5.03
Tuesday 11/26/19 12:30 PM - 02:30 PM TC.5.03
Tuesday 12/03/19 12:30 PM - 02:30 PM TC.5.03
Tuesday 12/10/19 12:00 PM - 02:00 PM TC.3.21
Tuesday 12/17/19 12:00 PM - 02:00 PM TC.2.02

Contents

The course covers basic concepts of econometrics. After an introduction into the characteristics of economic data, concepts such as causality and correlation are discussed. The classical regression model and the assumptions underlying the model are discussed in detail. The method of OLS estimation as well as asymptotic tests are explained in detail. Other topics include model selection such as choice of functional form, misspecification, dummy variables and heteroscedasticity.

Learning outcomes

The course provides an introduction to the analysis of economic data using econometric methods based on multiple regression. After the course, students will be able to understand and discuss empirical studies using the methods covered in this course. Moreover, students will learn how to independent conduct their own analyses of economic data.


Attendance requirements

For this lecture participation is obligatory. Students are allowed to miss a maximum of 20% (no matter if excused or not excused).

Teaching/learning method(s)

In-class, content is presented using the whiteboard and presentation slides. Moreover, the methods are illustrated via case studies using EViews and R. To ensure the in-depth applicability of the material presented, four extensive case studies have to be worked out; the solutions must be handed in in form of written reports.

Assessment

4 case studies (in groups), 8 points each

2 written exams (individually), 24 points each

Grading scheme:

1: 72 – ∞

2: 64 – 71.99

3: 56 – 63.99

4: 48 – 55.99

5: 00 – 47.99

Class attendance is compulsory.

Readings

1 Author: James H. Stock & Mark M. Watson
Title: Introduction to Econometric

Content relevant for class examination: Yes
Recommendation: Strongly recommended (but no absolute necessity for purchase)
Type: Book
2 Author: Jeffrey M. Wooldridge
Title: Introduction to Econometrics

Content relevant for class examination: Yes
Recommendation: Strongly recommended (but no absolute necessity for purchase)
Type: Book

Recommended previous knowledge and skills

Mathematics, Statistics

Availability of lecturer(s)

zehra.eksi-altay@wu.ac.at

Last edited: 2019-03-20



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