LEARNING OUTCOMES
The students learn the most common microeconometric methods typically used in applied research. Students also learn how to analyze critically estimation strategies and how to interpret empirical results. The course is especially suitable for students who want to use econometric methods in their master s thesis.
Credits: 6
Schedule: 03.09.2024 - 14.10.2024
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Lombardi, Cristina Bratu
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
The course covers identification based on observables, randomized control trials, difference-in-differences, instrumental variables and regression discontinuity design.
The students will also use an econometric software in the analysis of data and estimations.
Assessment Methods and Criteria
valid for whole curriculum period:
Exercises, exam
Workload
valid for whole curriculum period:
In total 160h, consisting of lectures and exercises and independent work.
DETAILS
Study Material
valid for whole curriculum period:
Joshua D. Angrist and Jörn-Steffen Pischke: Mostly harmless econometrics: An empiricist s companion (2009), compulsory
Joshua D. Angrist and Jörn-Steffen Pischke: Mastering metrics (2015), compulsory
Jeffrey M. Wooldridge Introductory econometrics: A modern approach (2009), compulsory
Other material assigned during the course.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
8 Decent Work and Economic Growth
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Autumn I
2025-2026 Autumn I