Economic Valuation Methods (5 cr)

Code:
AGERE-003
Field:
Environmental Economics
Target:
Master’s students
Organiser:
University of Helsinki - Environmental Economics
Instructor:
Anna-Kaisa Kosenius
Period:
Period 2
Format:
Lecture
Method:
Contact teaching
Venue:
Viikki campus

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

Theoretical basis of economic valuation of environmental benefits, non-market valuation approach (stated preferences methods, revealed preferences methods), market-based methods, analysis of empirical data, criticism for and limitations of economic valuation

  • Completion method: contact 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.

Aalto University Students
  • Code: no equivalent code
  • Target groups: MSc (not suitable for PhD students)
  • Credit points: 5
  • Credit transfer: apply for inclusion in Sisu
Hanken Students
  • Code: 26068
  • Target groups: MSc (not suitable for PhD students)
  • Credit points: 5
  • Credit transfer: apply for substitution in Sisu
University of Helsinki Students
  • Code: AGERE-003 (AGERE students)

    • MSc students in economics can not include the course in ECOM-G400 module, but in ECOM-MUUT Other studies (optional course)

  • Target groups: AGERE MSc students (not suitable for PhD students)

  • Credit points: 5

FDPE Students Students
  • Not suitable for PhD students

To understand the theoretical framework of economic valuation of environmental benefits, to apply of economic valuation methods and data analysis techniques.