364-1026-00L  Identification and Causal Inference

SemesterSpring Semester 2019
LecturersJ.‑E. Sturm, S. Pichler, M. Siegenthaler
Periodicitytwo-yearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
364-1026-00 VIdentification and Causal Inference
Block course
28s hrs
28.01.09:15-13:00LEE F 118 »
29.01.09:15-13:00LEE F 118 »
30.01.09:15-13:00LEE F 118 »
31.01.09:15-13:00LEE F 118 »
J.‑E. Sturm, S. Pichler, M. Siegenthaler

Catalogue data

AbstractMost policy relevant research questions in the social sciences face the same challenge: How can we identify a causal impact of one variable on another when we cannot use a controlled experiment? This course will teach program evaluation methods for causal analysis based on non-experimental (i.e. observational) data, derive the underlying theory and discuss recent applications.
ObjectiveThe main objective of this course is to make PhD students familiar with program evaluation methods such as Difference-in-Differences/Event Study estimations, Instrumental Variables Estimators, Regression Discontinuity designs and Matching Methods. The course will cover the underlying theory, illustrate the connection to classical regression analysis, show how these different methods relate to each other and how they differ in terms of the required identifying assumptions as well as data needs. Recent research papers will be discussed to illustrate their use. The course has an applied focus. The goal is to place students in the position to have a broad toolkit of quasi-experimental methods and to apply these methods in their empirical research.
Lecture notesWe will provide printed slides at the beginning of each lecture.
LiteratureLecture notes will be provided and course will also draw on recent research papers. No specific textbook is required.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersJ.-E. Sturm, S. Pichler, M. Siegenthaler
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
Doctoral Department of Management, Technology, and EconomicsDoctoral Studies in EconomicsWInformation