For students:

Applied Macroeconometrics 1 (5 cr)

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Code:
ECOM-411 (MSc) / DPE-9411 (PhD)
Field:
Econometrics
Targets:
Master’s students Research Master's students PhD students
Organiser:
University of Helsinki - Economics
Instructor:
Henri Nyberg
Period:
Period 4
Format:
Lecture
Method:
Remote teaching
Remote:
Zoom link can be found in Moodle
Enrollment:
Sisu How to enroll?

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

Content

The course provides an introduction to the methods of modern applied macroeconometrics. The different approaches currently employed in applied work are reviewed, including the basics of empirical dynamic stochastic general equilibrium (DSGE) models, but the main emphasis is on the vector autoregressive model and its application in economics. In particular, we concentrate on the identification of economic shocks by various methods and the use of the structural vector autoregressive framework in policy analysis. Applications in other fields besides macroeconomics may also be discussed. The emphasis is on the practical application of the methods.

Teaching

  • Schedule: can be found in Course Page and Sisu
  • Study materials: can be found in Moodle
    • For some courses, it is enough to register in Sisu and you can access directly the Moodle area, please note, however, that it may take up to two hours after registration to enter the Moodle area.
    • Log in with your UH username to be able to use all the features of the course workspace
    • More tips for enrolling in Moodle can be found here

Please register for the course in the UH Sisu with your UH username. Further instructions can be found here.

University-specific instructions

Aalto University Students

  • Code: no equivalent code

  • Target groups: MSc / rMSc / PhD

  • Credit points: 5

  • Credit transfer: apply for inclusion in Sisu

Further information on credit transfer can be found here.

Hanken Students

  • Code: 26002

  • Target groups: MSc / rMSc / PhD

  • Credit points: 5

  • Credit transfer: apply for substitution in Sisu

Further instructions on credit transfer can be found here.

University of Helsinki Students

  • Code: ECOM-411 (rMSc) / DPE-9411 (PhD)

  • Target groups: MSc / rMSc / PhD

  • Credit points: 5

FDPE Students Students

  • Please contact your supervisor/program director to be sure that the course credit can be counted towards your degree

  • Credit transfer: please apply for credit transfer according to your home university’s procedures

Further instructions can be found here.

Learning outcomes

After the course, the student should:

  • Be familiar with the main approaches to modelling macroeconomic data 
  • Know the basic properties of the linear vector autoregressive (VAR) model 
  • Know the basic properties of the linear vector autoregressive (VAR) model 
  • Understand the concept of the identification of economic shocks in structural VAR models, and be able to conduct structural analysis using short-run and long-run identification restrictions as well as methods of statistical identification in the VAR model
  • Be able to apply methods of classical statistical inference in reduced-form and structural VAR models
  • Be able to report empirical research results obtained using the methods covered