Syllabus

Title
5127 Econometrics I
Instructors
Dr. Carolina Bernardita Lennon Zaninovic
Contact details
  • Type
    PI
  • Weekly hours
    2
  • Language of instruction
    Englisch
Registration
02/11/19 to 02/18/19
Registration via LPIS
Notes to the course
Subject(s) Bachelor Programs
Dates
Day Date Time Room
Wednesday 03/06/19 12:15 PM - 02:15 PM D5.1.001
Wednesday 03/13/19 12:15 PM - 02:15 PM D5.1.001
Wednesday 03/20/19 12:15 PM - 02:15 PM D5.1.001
Wednesday 03/27/19 12:15 PM - 02:15 PM D5.1.001
Wednesday 04/03/19 12:15 PM - 02:15 PM D5.1.001
Wednesday 04/10/19 12:15 PM - 02:15 PM D5.1.001
Wednesday 05/08/19 12:15 PM - 02:15 PM D5.1.001
Wednesday 05/15/19 12:15 PM - 02:15 PM D5.1.001
Wednesday 05/22/19 12:15 PM - 02:15 PM D5.1.001
Wednesday 05/29/19 12:15 PM - 02:15 PM D5.1.001
Wednesday 06/05/19 12:15 PM - 02:15 PM D5.1.001
Wednesday 06/12/19 12:15 PM - 02:15 PM D5.1.001
Wednesday 06/19/19 12:15 PM - 02:15 PM D5.1.001
Wednesday 06/26/19 12:15 PM - 02:15 PM D5.1.001

Contents

The econometrics teaching program is offered in a cycle over 3 terms. In Econometrics I, the foundations of the subject are dealt with: causality, correlation, assumptions of the linear regression model, OLS estimation, asymptotic tests, misspecification, outliers, heteroskedasticity and an introduction to E-views. In Econometrics II, advanced subjects are covered: Time series analysis, endogeneity, instrumental variable estimation, panel data and limited dependent variable models. In Applied Econometrics, a deeper analysis of selected topics is offered and students are required to write an empirical, applied-econometric essay.

Learning outcomes

This course provides an introduction to the analysis of economic data using econometric methods. After having taken the course, students should be able to understand empirical studies published in scientific journals and carry out econometric work by themselves.

Teaching/learning method(s)

Lectures, excercises

Assessment

Midterm exam (20 points), final exam (40 points), empirical exercises (40 points). At least 25 points together in the mid-term and final exam in order to pass the course.

Prerequisites for participation and waiting lists

 

Readings

1 Author: Wooldridge, J.
Title: Introductory Econometrics

Publisher: Mason, Ohio, South-Western
Edition: 4th edition
Remarks: It is expected that the students read the corresponding chapters before each lecture.
Year: 2009
Content relevant for class examination: Yes
Recommendation: Essential reading for all students
Type: Book

Recommended previous knowledge and skills

Sound knowledge of statistics and mathematics

 

Availability of lecturer(s)

carolina.lennon@wu.ac.at

Other

Software:

Carrying out empirical work is part of the content of the course. As standard software package we will use R, but, if you you prefer, you can use Stata instead.

Supplementary Literature:

Baltagi, B. (2008). Econometrics, New York: Springer.

Greene, W. (2003). Econometric analysis, 5. ed., U.S.River, N.J.: Prentice Hall.

Gujarati, D.N., Porter, D.C. (2009). Basic Econometrics, New York: McGraw Hill.

Hackl, P. (2005). Einführung in die Ökonometrie. München: Pearson Studium.

 

 

Last edited: 2019-01-21



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