Advanced Seminar Economics, Policy & Econometrics: Advanced Resource Economics

Economics of market allocation; Externalities and environmental problems; Cost-benefit analysis and environmental decision-making; Climate change economics; Land and water use modelling; Dynamic and spatial optimization; Stated/revealed valuation of natural resources; Theory of optimal extraction of renewable and non-renewable resources; Theory of joint production; Application of game theory to resource management; Optimal growth and green accounting etc.

Students will study the key concepts in the research field of natural resource economics considering also related concepts and empirical methods. The overall aim is to understand and reflect upon the role of microeconomic analysis and modelling in a natural resource context as well as being able to apply empirical measurement techniques to produce evidence with regard to the efficient use of scarce natural resources at firm and sectoral level and related management and policy implications. The seminar uses advanced original economic and empirical research articles for illustrating these concepts and for deriving fundamental insights and recommendations.

Coursework will be based on reading and discussing selected scientific papers. In addition academic elaboration and research on a specific topic related to the seminar's overall theme will be used. Students will be required (i) to summarize the key insights on one of the seminar topics by a written essay (seminar paper), and to (ii) to present their findings in class in a 15-20 minutes presentation. The course examination will consist of these two parts: (i) written seminar paper, and (ii) oral in- class presentation and discussion.

Principles of Economics, Advanced Environmental and Natural Resource Economics

Students will study selected academic articles related to the assigned topics. Students will be coached by the instructor(s) and perform their own in-depth research of related material, methods and data. Students will identify key research questions, methodological approach, required datasets and derived results and recommendations. Hence, a key objective is to enable students to aquire the ability to comprehend and reflect scientific work in related areas as well as communicate and effectively work in teams.