Discrete Choice Experiments in Agricultural, Food, and Environmental Economics
Course description
The course will introduce students to discrete choice experiments and their applications in Agricultural, Food, and Environmental Economics. The course will be given by Julian Sagebiel, but please reach out to Jens for organizational questions.
Course facts
P000091, Discrete Choice Experiments in Agricultural, Food, and Environmental Economics, 5.0 Hp
Print syllabus
Syllabus
Finalized by: Research school - People, Society and Sustainability, 2024-05-07
Valid from : Autumn semester 2024 (2024-09-02)
Level
Third cycle
Subject
Other social science
Grading Scale
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.
Course language
English
Entry Requirements
Objectives
Upon completion of this course, the students will be able to:
- Describe theory and applications of discrete choice experiments in Agricultural, Food, and Environmental Economics
- Discuss the limitations of discrete choice experiments and when and when not a discrete choice experiment can be applied
- Develop and design discrete choice experiments
- Analyze data from discrete choice experiments with and without accounting for preference heterogeneity
- Discuss recent methodological advances and limitations of discrete choice experiments
Content
- Theoretical models explaining discrete choices in a utility maximization framework
- Econometric models to estimate parameters of utility functions with discrete dependent variables
- Maximum Likelihood Estimation
- Principles of experimental design for discrete choice experiments
- Advanced discrete choice modeling and data analysis and recent methodological advances
Examination Formats and Requirements for Passing the Course
- Students present one recent research paper in the field (assigned by the course leader not later than two weeks before the start of the course); they will also replicate at least part of the analysis of this paper. The exact requirements for the replication will be discussed individually with the examiners. - Students submit an assignment on experimental design (by December 6, 2024 the latest) - Students submit an assignment on data analysis (by December 6, 2024 the latest) - Students actively take part in the course and contribute to group discussions and seminars
Responsible Department/Equivalent
Department of Economics
Supplementary information
Other Information
This course is part of the research school People, Society and Sustainability, a joined research school between the Department of Economics and the Department of Urban and Rural Development.