Agricultural, Environmental, and Dev Economics

This course provides students with an overview and an understanding of the theory guiding production economics as applied to agricultural problems and of the empirical methodologies used to study agricultural production problems. Prereq: 7140, Econ 8714, and 8732; or permission of instructor.

This class will cover cutting edge topics and econometric methods in the development economics literature, examining new methods around IVs, popular machine learning techniques, and non-classical measurement error. Prereq: 7140, Econ 8714, and 8732; or permission of instructor.

The course will focus on the theory of renewable resource economics, the seminal papers in the field, and will include contemporary issues and advanced topics such as spatial-dynamic problems and coupled human-natural systems. Prereq: 7140, Econ 8714, and 8732; or permission of instructor.

This course is designed to introduce you to advanced applied econometric techniques essential for PhD level applied research. We will focus on the applied econometrics, reading, writing and problem-solving skills necessary for you to begin to do your own research. Prereq: 7140, Econ 8714, and 8732; or permission of instructor.

This course builds upon the applied econometric content in AEDE 6110 by introducing complementary practical methods of data analytics. Topics include data exploration and visualization, model selection and regularization for high dimensional data, supervised and unsupervised machine learning methods. Lectures and labs will feature discussion of technical concepts and computer applications. Prereq: 6110, or permission of instructor.