Syllabus

Title
1664 Econometrics and Empirical Economic Research (Applied Track)
Instructors
Assoz.Prof PD Florian Szücs, Ph.D.
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
11/23/20 to 11/29/20
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Tuesday 12/01/20 04:00 PM - 06:00 PM Online-Einheit
Thursday 12/03/20 04:00 PM - 06:00 PM Online-Einheit
Thursday 12/10/20 04:00 PM - 06:00 PM Online-Einheit
Tuesday 12/15/20 04:00 PM - 06:00 PM Online-Einheit
Thursday 12/17/20 04:00 PM - 06:00 PM Online-Einheit
Tuesday 12/22/20 04:00 PM - 06:00 PM Online-Einheit
Thursday 01/07/21 04:00 PM - 06:00 PM Online-Einheit
Tuesday 01/12/21 04:00 PM - 06:00 PM Online-Einheit
Thursday 01/14/21 04:00 PM - 06:00 PM Online-Einheit
Tuesday 01/19/21 04:00 PM - 06:00 PM Online-Einheit
Thursday 01/21/21 04:00 PM - 06:00 PM Online-Einheit
Tuesday 01/26/21 04:00 PM - 06:00 PM Online-Einheit
Friday 01/29/21 02:00 PM - 04:00 PM TC.0.10 Audimax
Procedure for the course when limited activity on campus

This course takes place at the premises of WU. In the case that not all students will be able to be physically present (e.g. due to limitations on the number of persons in a lecture room or due to travel restrictions), the classes will also be made available via an online live-stream ('synchronous hybrid mode'). Thus, students not physically present can follow the course online and participate through a chat function.

Contents

Repetition of basic econmetrics: multiple regression analysis, estimation, inference and asymptotics

Panel econometrics

IV and 2SLS

GMM

Learning outcomes

The goal of this course is to convey a solid understanding of econometric concepts and assumptions. Students will learn to make sense of the results of various tests and regression analysis methods. At the end of the semester, students will understand state-of-the-art econometric research methods and be able to assess their appropriateness in the context of current research papers.

Attendance requirements

Attendance is mandatory, max. 2 absences without valid excuse

Teaching/learning method(s)

The course consists of lectures and exercise units. In the lectures, we cover most of the Wooldridge (2016) book (chapters 2-9, 13-15), as well as panel econometrics and GMM estimation. In the exercises, we use the software package Stata to empirically implement the methods discussed. Students will receive three homework assignments, which can be handed in in groups of up to three students.

Assessment

3 homework exercises, 8% each, 24% in total

2 mini exams, 13% each, 26% in total

Final exam 50%

Last edited: 2020-06-29



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