Advanced Econometrics 1 (5 cr)

Code:
ECOM-R314/DPE-9314
Field:
Econometrics
Targets:
Research Master's students PhD students
Organiser:
University of Helsinki - Economics
Instructor:
Mika Meitz
Period:
Period 1
Format:
Lecture
Method:
Online teaching
Remote:
Zoom link can be found in Moodle
Enrollment:

In case of conflicting information consider the Sisu/Course/Moodle pages the primary source of information.

Aalto, Hanken and UH economics students can enroll through their home university’s SISU. Further instructions are available on the How to enroll? page, also for students from other universities.

If you would like to count the credits towards your degree, please check your curriculum or contact your supervisor or student services for guidance.

Course Sisu and Course page to be published in July

  • To access the Moodle course area, use all the features and participate in the activities (assignments, discussions), you must have successfully registered for the course in Sisu and logged in with your UH user ID.
  • For more information on how to activate your UH user ID and register for a Moodle course area, click here.

This course introduces the basic methods used in the linear regression analysis of economic variables. The classical finite sample theory and asymptotic analysis of the linear regression model as well as the necessary methodological tools required for these topics are covered. Specifically, the topics covered in the course include

  • Classical finite sample theory in the linear regression model 
  • The basics of asymptotic theory 
  • Asymptotic theory in the linear regression model 
  • Autocorrelation, heteroskedasticity and dynamic regressors 
  • Specification tests 
  • Omitted variables, instrumental variables and the two-stage least squares estimator (2SLS)

After the course, the student should

  • Know the main properties and limitations of the linear regression model 
  • Be familiar with the basics of asymptotic analysis 
  • Be able to employ the linear regression model and related inferential methods in empirical research