363-0585-00L  Intermediate Econometrics

Courses

Catalogue data

Abstract	The aim of the course is to discuss different econometric models and their empirical applications. We will cover cross-sectional linear and non-linear regression models, models for estimating treatment effects, and linear panel data models.
Learning objective	By the end of the course, students should understand the different existing approaches, their applicability, and their advantages and disadvantages. They should be able to read and understand regression output tables. Additionally, students will be able to apply the estimation approaches in practice using STATA.
Content	The lectures will consist of both theoretical and practical components. In the theoretical part, we will discuss each estimation approach in detail. The lecture will present the assumptions, derivations, as well as the advantages and disadvantages of the estimation approach. In the empirical part, we will look at simulation results using artificial data. Furthermore, we will investigate a particular research question using STATA. The course will tentatively cover the following subjects: - review of ordinary least squares (OLS) estimation - instrumental variable estimation and two-stage least squares estimation - seemingly unrelated regression models - simultaneous equation models - maximum likelihood estimation - binary response models - count data models - censored and truncated regression models - sample selection models - treatment effect models - static linear panel data models (random effects and fixed effects estimation)
Lecture notes	For the theoretical portions of the lectures, we will prepare slides for in-class discussion. The format of the course is in-person. Slides will be distributed electronically before each lecture. For the applied portion of the lectures, we will provide STATA do files, log files, and data sets. Problem sets will also be made available after every lecture. These problem sets will not be collected or graded, but students can use them in order to prepare for the final exam. Solutions will be made available in the following lecture. While there is no required textbook for the course, we draw from the following texts, which are also recommend for the preparation of the exam: - Wooldridge, J.M. (2015). Introductory Econometrics. - Wooldridge, J.M. (2010). Econometrics of Cross Section and Panel Data. - Cameron, A.C. and P. Trivedi (2005). Microeconometrics. Methods and Applications. - Cameron, A.C. and P. Trivedi (2009). Microeconometrics Using Stata. - Angrist, J.D. and Pischke, J.-S. (2009). Mostly Harmless Econometrics.
Literature	Jeffrey M. Wooldridge: Introductory Econometrics; Jeffrey M. Wooldridge: Econometric Analysis of Cross Section and Panel Data; A. Colin Cameron and Pravin K. Trivedi. Microeconometrics: Methods and Applications. Joshua A. Angrist and Jörn-Steffen Pischke: Mostly Harmless Econometrics.
Prerequisites / Notice	Prior basic knowledge of matrix algebra and probability theory is strongly recommended.
Competencies	Subject-specific Competencies Concepts and Theories assessed Techniques and Technologies assessed Method-specific Competencies Analytical Competencies assessed Problem-solving assessed Social Competencies Communication fostered Cooperation and Teamwork fostered Personal Competencies Critical Thinking fostered Integrity and Work Ethics fostered

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits	3 credits
Examiners	S. Stefanova
Type	session examination
Language of examination	English
Repetition	The performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examination	written 90 minutes
Written aids	keine.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

Groups

Restrictions

Offered in

Programme	Section	Type
Agricultural Sciences Master	Methods in Agricultural Economics	W+
Management, Technology and Economics Master	Economic Dynamics	W