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ECOM-R321 Advanced Econometrics 4, 5 cr 
Code ECOM-R321  Validity 01.01.2017 -
Name Advanced Econometrics 4  Abbreviation Adv Econom 4 
Scope5 cr   
TypeAdvanced studies
TypeCourse   
  GradingGeneral scale 
  no
    Can be taken more than onceno
Unit Master's Programme in Economics 

Teachers
Name
Mika Meitz 

Description
Target group 

Master’s Programme in Economics (Research track). Open also to doctoral students in economics.

 
Timing 

Annually in the third period

 
Learning outcomes 

After the course, the student should

  • Know the basic properties of the time series models and the related methods introduced 
  • Be able to critically follow empirical research that employs them 
  • Be able to apply them in empirical research 
  • Have the basic knowledge for more advanced methodological and applied studies in time series econometrics
 
Completion methods 

The course consists of lectures (24 hours) and exercise sessions (8 hours), where solutions to the homework assignments are discussed. The lectures and exercise sessions are not mandatory. The course is completed by (i) a written final exam and (ii) homework assignments. The homework assignments consist of both analytical and empirical exercises.

 
Prerequisites 

Advanced Econometrics 1 and 2

 
Recommended optional studies 

Knowledge of R (or some other matrix programming language) is useful.

 
Contents 

This course covers a number of models and methods employed in time series econometrics. The emphasis is on univariate models, but vector autoregressive models are also discussed. Specifically, the topics covered on the course include the following:

  • Basic time series concepts 
  • Methods for stationary univariate data: ARMA models, ARCH models 
  • Nonstationarity (unit roots, cointegration) 
  • Vector autoregressive models
 
Study materials and literature 

Lecture slides and other material assigned by the lecturer

 
Activities and teaching methods in support of learning 

All material related to the course is delivered through the Moodle area of the course, which also contains a discussion forum where students can discuss issues related to the course with each other and the teacher.

 
Assessment practices and criteria 

The grade on a scale from 0 (fail) to 5 is based on the points earned in the final exam. At least 40% of the homework assignments must be completed to take the exam.

 


Current and future instruction
Functions Name Type cr Teacher Schedule
registration period has not begun Advanced Econometrics 4  Lecture Course  Mika Meitz 
16.01.20 -20.02.20 thu 14.15-15.45
17.01.20 -24.01.20 fri 12.15-13.45
30.01.20thu 10.15-11.45
31.01.20fri 12.15-13.45
07.02.20 -21.02.20 fri 12.15-13.45
13.02.20 -27.02.20 thu 10.15-11.45
06.03.20fri 10.00-12.00
29.04.20wed 10.15-11.45

Future examinations
No examinations in WebOodi