2023/2024 KANCOECO1058U Econometrics
English Title  
Econometrics 
Course information 

Language  English 
Course ECTS  7.5 ECTS 
Type  Mandatory (also offered as elective) 
Level  Full Degree Master 
Duration  One Semester 
Start time of the course  Autumn 
Timetable  Course schedule will be posted at calendar.cbs.dk 
Max. participants  50 
Study board 
Study Board for MSc in Advanced Economics and
Finance

Course coordinator  


Main academic disciplines  


Teaching methods  


Last updated on 25012023 
Relevant links 
Learning objectives  


Course prerequisites  
This is a mandatory course for the MSc in
Advanced Economics and Finance. It is assumed that students have
knowledge similar to the entry requirements for this programme. The
course has 60 contact hours and there is a high level of
interaction betw. lecturer and students, and in general a high work
load.
The course has a high technical level and is intended for OECON students. Students are required to have the knowledge of the content of the introductory econometrics course "BABHAAI1092U Theory and Mechanics Behind Econometrics and Statistical Programming" or equivalent. This includes that basic tools and fundamentals of mathematics and statistics are already known to students (Compare Appendices AD in Wooldridge, 2020, Introductory Econometrics, 7th Edition, Cengage ). To sign up send a 1page motivational letter and a grade transcript to ily.stu@cbs.dk before the registration deadline for elective courses. You may find the registration deadlines on my.cbs.dk ( https://studentcbs.sharepoint.com/graduate/pages/registrationforelectives.aspx ) Please also remember to sign up through the online registration. 

Examination  
The exam in the subject consists of two parts:


Course content, structure and pedagogical approach  
The aim of the course is to provide the students with an
understanding of models, estimation methods within the field of
econometrics. Cross sectional, and panel data sets will be used to
analyze various economic models. The course provides both a
theoretical and an applied (hands on) angle on the topic. The
course consists of two parts, the first of which is a (high level)
presentation of estimation and inference methods for the multiple
linear regression model. Here practical aspects are covered and
statistical properties are proved. In the second part the course
covers several topics from Micro and Panel Econometrics. In
particular, it elaborates the use of single equation regression
models with an emphasis on endogeneity problems and instrumental
variable estimation based on cross sectional data set. It focuses
on the analysis of panel data sets – their merits, special
problems, estimation methods etc. Finally, it covers binary
dependent variable models. The course builds on a standard
introductory course in econometrics. Knowledge of fundamental
concepts of mathematics and statistics is required.
Students need to be familiar with matrix notation.


Description of the teaching methods  
Lectures and computer based exercise classes.  
Feedback during the teaching period  
Office hours:
Students can book 20 minutes slots during weekly office hours to obtain feedback on particular problems with the course material, their midterm exam or to obtain advice on individual academic development questions. 

Student workload  


Further Information  
Part of this course may also be taken as a PhD course for a limited number of PhD students. 

Expected literature  
Indicative:
Lectures:
Textbooks:
