This course is traditionally offered in May each year.
The course is divided into two parts, 2,5 ETCS (SP I) for those who want basic understanding and extra 5 ETCS (SP II) for those who want advanced knowledge.
Popular course with professor Kriström teaching during one intensive week in the beginning of May every year. 7,5 credits
It is required that the student is, or makes him/herself, familiar with R (a particular R-course) is offered by the Department of Forest Economics. Students should read the background materials (see literature) before the course starts. In addition, we will make sure that any accepted applicant knows some basics of R.
The goal of the course is that the student should come away with a good idea of how to apply the most recent techniques that are used.
This course focuses on the practical issues of contingent valuation and choice experiments. A significant amount of time is allotted to implementation within existing econometric packages. Examples and exercises make up a central part of the course. Course participants are presented with data sets originating from applications in resource economics, transportation and marketing research. Lecture notes and computer exercise instructions are delivered at class.
Written exam and/or assignment
Contact for application and further information:
This is an intensive course. All lectures will be given in the first week. The number of participants is limited to 10 and the principle of first come, first served is used. The course will be offered if there are at least 5 participants.
Participation in the classes is free of charge (EU). All other costs must be covered by the participant. We cannot offer travel or other support to cover the costs in Umeå. The lectures will be offered between the May 14 and May 18, 2018.
Deadline for application is April 5, 2018.
Please indicate on your application if you wish to take part in SP I or SP I + SP II.
This is an intensive course. All lectures will be given May 14- May 18. The number of participants is limited to 10 and the principle of first come, first served is used. The course will be offered if there are at least 5 participants.