Dalston Ward: Catalogue data in Spring Semester 2019

Name Dr. Dalston Ward
Address
Professur für Politikanalyse
ETH Zürich, LEH D 6
Leonhardshalde 21
8092 Zürich
SWITZERLAND
Telephone+41 44 632 02 14
E-maildalston.ward@gess.ethz.ch
DepartmentHumanities, Social and Political Sciences
RelationshipLecturer

NumberTitleECTSHoursLecturers
857-0102-00LMethods IV: Causal Inference Restricted registration - show details
Number of participants limited to 15.

MA Comparative and International Studies are given priority.
8 credits2U + 2SD. Hangartner, D. Ward
AbstractThis course provides an introduction to statistical methods used for causal inference in the social sciences, covering both experimental and observational studies.
ObjectiveFamiliarity with the key research designs and statistical methods used for causal inference from randomised and observational data.
ContentThis course provides an introduction to statistical methods used for causal inference in the social sciences. Using the potential outcomes framework of causality, we discuss designs and methods for data from randomized experiments and observational studies. In particular, designs and methods covered include randomization, matching, instrumental variables, difference-in-difference, synthetic control, regression discontinuity, and quantile regression. Examples are drawn from the social sciences.
LiteratureAngrist, Joshua D., and Jörn-Steffen Pischke. Mostly harmless econometrics: An empiricist's companion. Princeton university press, 2008.

Rosenbaum, Paul R. Design of Observational Studies. Springer. 2010.
Prerequisites / NoticeMethods III or equivalent