This course covers quantitative methods to answer empirical research questions in agricultural economics and related disciplines. Such questions include causes of agricultural outcomes and effects of policies. Covered: Regression Analysis, Difference-in-Difference, Agricultural Production Analysis, Non-linear climate impacts and more. Lectures and practical exercises.
Learning objective
After successful completion of the course, the students understand the potential and limitations of different econometric methods to answer their research questions. They understand the assumptions that need to be fulfilled and they know how to apply the methods. When they see applications of the methods, they can assess the reliability of the results.
Content
Regression, Difference-in-Difference, Regression Discontinuity Design, Non-linear Effects, Weather Risks and Climate Change in Agriculture, Weather Data handling Production economics
Literature
Angrist and Pischke: Mastering Metrics Greene: Econometric Analysis
Prerequisites / Notice
Basic knowledge in microeconomic theory, statistics, and econometric analysis is clearly helpful but not required. Experience with the application of statistical software is advantageous too.
Competencies
Subject-specific Competencies
Concepts and Theories
fostered
Techniques and Technologies
fostered
Method-specific Competencies
Analytical Competencies
fostered
Problem-solving
fostered
Personal Competencies
Creative Thinking
fostered
Critical Thinking
fostered
Self-direction and Self-management
fostered
Performance assessment
Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course