Syllabus

Title
1826 Econometrics II
Instructors
Dr. Carolina Bernardita Lennon Zaninovic
Contact details
  • Type
    PI
  • Weekly hours
    2
  • Language of instruction
    Englisch
Registration
09/17/19 to 09/24/19
Registration via LPIS
Notes to the course
Subject(s) Bachelor Programs
Dates
Day Date Time Room
Wednesday 10/02/19 11:00 AM - 01:00 PM D2.0.038
Wednesday 10/09/19 11:00 AM - 01:00 PM D2.0.038
Wednesday 10/16/19 11:00 AM - 01:00 PM D2.0.038
Wednesday 10/23/19 11:00 AM - 01:00 PM D2.0.038
Wednesday 10/30/19 11:00 AM - 01:00 PM D2.0.038
Wednesday 11/06/19 11:00 AM - 01:00 PM D2.0.030
Wednesday 11/13/19 11:00 AM - 01:00 PM D2.0.030
Wednesday 11/20/19 11:00 AM - 01:00 PM TC.4.18
Wednesday 12/04/19 10:00 AM - 01:00 PM TC.4.18
Wednesday 12/11/19 10:00 AM - 01:00 PM TC.4.18
Wednesday 12/18/19 10:00 AM - 01:00 PM TC.4.18
Wednesday 01/08/20 10:00 AM - 01:00 PM TC.4.18
Wednesday 01/15/20 10:00 AM - 01:00 PM TC.4.18
Wednesday 01/22/20 11:00 AM - 01:00 PM TC.4.18
Wednesday 01/29/20 11:00 AM - 01:00 PM TC.4.18

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, functional forms, heteroskedasticity and an introduction R, Stata or E-views.  

In Econometrics II, we will cover the following topics:

· Asymptotic properties of OLS estimator.

· Further issues: Omitted variable bias and proxy variables, endogeneity from non-random sampling and measurement errors, and outliers.

· Instrumental variables and 2SLS: derivation, properties and tests.

· Simultaneous Equations Models.

· Limited Dependent Variable Models: Probit and Logit, Poisson, Tobit, Censored, truncation and incidental truncation models.

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. The course complements and expands the subjects dealt with in Econometrics I. 

Attendance requirements

Attendace is compulsory

Teaching/learning method(s)

The course consists of lectures where the theoretical frameworks are presented and practical units where students assess the methods using real data.

Assessment

i) Exercises + class participation: 30% ii) Midterm exam: 30% iii) Final exam: 40%

A positive combined midterm and final exam (50% threshold) is a prerequisite for passing the course. 

Please notice that the final exam is planned to take place on the 15th of January.  This will be the last official day of the course.

Prerequisites for participation and waiting lists

Students must have successfully passed Econometrics I

Readings

1 Author: Wooldridge, J.
Title:

Introductory Econometrics. A Modern Approach


Publisher: Cengage Learning
Edition: 5th, 6th or 7th edition
Year: 2012
Content relevant for class examination: Yes
Recommendation: Essential reading for all students
Type: Book

Recommended previous knowledge and skills

Maths (optimization, derivatives, sum operators and matrix) and Statistics (distributions, moments, and properties)

Availability of lecturer(s)

Institut für Makroökonomie
E-Mail: carolina.lennon@wu.ac.at

 

Last edited: 2019-08-23



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