Causality and Programme Evaluation

Modul (geplante Umstrukturierung): Causality and Programme Evaluation (6 Credits)
Name im Diploma Supplement	Causality and Programme Evaluation
Verantwortlich	Prof. Dr. Martin Karlsson
Voraussetzungen	Siehe Prüfungsordnung.
Workload	180 Stunden studentischer Workload gesamt, davon: Präsenzzeit: 60 Stunden Vorbereitung, Nachbereitung: 60 Stunden Prüfungsvorbereitung: 60 Stunden
Dauer	Das Modul erstreckt sich über 1 Semester.
Qualifikationsziele	Students taking the course will Acquire a sound understanding of identification strategies in microeconometrics Gain knowledge of the advantages and limitations of experimental research Get familiar with the most important non-experimental techniques and their underlying assumptions Learn how to critically assess empirical microeconometric work
Praxisrelevanz	For decision makers, e.g. in public policy, it is important to identify causal effects of distinct policy programmes in order to use available resources efficiently. For this purpose there exists a broad variety of methods. This course enables students to critically assess existing empirical evidence and pursue own empirical evaluations.
Prüfungsmodalitäten	In order to pass the course students need to solve and hand in problem sets (20% of the final grade), and to write a term paper (usually 20-30 pages, 80% of the final grade) in which they pursue an own empirical evaluation.
Verwendung in Studiengängen	BWL EaF Master > Wahlpflichtbereich > 1.-3. FS, Wahlpflicht ECMX Master > Wahlpflichtbereich > ME7 Econometric Methods > 1.-3. FS, Wahlpflicht GOEMIK Master > Wahlpflichtbereich > Bereich Volkswirtschaftslehre > 1.-3. FS, Wahlpflicht VWL Master > Wahlpflichtbereich I > 1.-3. FS, Wahlpflicht
Bestandteile	Vorlesung mit integrierter Übung Causality and Programme Evaluation (6 Credits)
Modul: Causality and Programme Evaluation (WIWI‑M0473)

Vorlesung mit integrierter Übung: Causality and Programme Evaluation (6 Credits)
Name im Diploma Supplement	Causality and Programme Evaluation
Anbieter	Lehrstuhl für VWL, insb. Gesundheitsökonomik
Lehrperson	Prof. Dr. Martin Karlsson, wissenschaftliche Mitarbeiter(innen)
Semesterwochenstunden	4	Sprache	englisch
Turnus	Sommersemester	maximale Hörerschaft	###LABEL_NOLIMIT###
empfohlenes Vorwissen Good knowledge of econometrics required.
Abstract This is a Master/Ph.D.-level course in causal inference and program evaluation methodology. We will focus on using the potential outcomes approach as a general organizing principle, and examine identification and estimation of treatment effects under various types of assumptions. The course will not go into great depth in regard to any particular applied econometric method, but will instead aim to provide you with enough knowledge about each one to know when, and when not, to use it in empirical work.
Lehrinhalte Theories of Causation Conducting Experiments in Economics Randomisation Differences-in-Differences Instrumental Variables Fuzzy DiD / Multiple Testing Regression Discontinuity Design Methods based on Unconfoundedness Quantile Regression Evaluating Evaluation Techniques
Literaturangaben Angrist & Pischke (2009), Mostly Harmless Econometrics Imbens & Wooldridge (2009), "Recent developments in the econometrics of program evaluation". Journal of Economic Literature.
didaktisches Konzept Die Veranstaltung entspricht einem Vorlesungsanteil von 2 SWS und einem Übungsanteil von 2 SWS.
Vorlesung mit integrierter Übung: Causality and Programme Evaluation (WIWI‑C0635)