[ 977PAMETREK21 ] KS Treatment Evaluation

Es ist eine neuere Version 2023W dieser LV im Curriculum Master's programme Business Informatics 2023W vorhanden.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Economics Nicole Schneeweis 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Economic and Business Analytics 2022W
Objectives The course's goal is to provide students with an understanding of advanced econometric models and to enable them to deal with empirical work in a critical manner. The course discusses in detail specification, identification, and estimation techniques. The methods taught will provide students with a clear idea on how to undertake their own empirical projects (e.g., Master's thesis) and on how to critically assess empirical research.
Subject Instrumental variables (IV), Randomized controlled trials, Difference-in-differences method, Regression discontinuity method, Matching procedures
Criteria for evaluation Exam, Seminar paper
Methods Lecture, Seminar paper
Study material Angrist and Pischke, Mostly Harmless Econonometrics
Changing subject? No
Further information The Department of Economics recommends to take CS and IC Empirical Economics before this course or to be familiar with the contents of these.
On-site course
Maximum number of participants 200
Assignment procedure Assignment according to priority