Statistics, Econometrics and Quantitative Methods

S316 Policy Analysis and Evaluation

Lecturer:  

Prof. Dr. Bernhard Boockmann

Profiles:  

B.Sc. in Economics and Business Administration
B.Sc. in International Economics
B.Sc. in International Business Administration

Prerequisites:  

Quantitative Methods in Economics and Business Administration

Language:   English
Time and Place:  

Wed 8:15 a.m - 9:45 a.m, OSA- Keplerstr. -036, Seminarraum 1 (lecture)
Mon 6:15 p.m - 7:45 p.m, PC Labor (tutorial)

Start:   First week of winter term (lecture), third week (tutorial)
Exam:   Written Exam (60 Min)
Credits Points:  

6 ECTS

Topics

Introduction

Randomised experiments

Regression analysis and statistical matching

Instrumental variables

Regression discontinuity design

Difference-in-differences

Cost-benefit analysis

An evaluation project

Course information

Part of the course will be organized as practical sessions in the PC Lab.

Participants need to be able to access the PC Lab.

Please note: The computer lab sessions for this course will start on 29 October at 6:15 p.m.

The first lecture will take place on 17 October at 8:15 a.m.

Readings

The course will be based on Angrist, J.D., and Pischke, J.-S. (2015): Mastering ‘Metrics, Princeton University Press. A list of further references will be provided.