Syllabus
Registration via LPIS
Day | Date | Time | Room |
---|---|---|---|
Tuesday | 10/01/24 | 10:00 AM - 12:30 PM | D4.0.127 |
Tuesday | 10/01/24 | 01:30 PM - 04:30 PM | D4.0.127 |
Wednesday | 10/02/24 | 10:00 AM - 12:30 PM | D4.0.019 |
Wednesday | 10/02/24 | 01:30 PM - 04:30 PM | D4.0.019 |
Friday | 10/04/24 | 10:00 AM - 12:30 PM | D4.0.127 |
Friday | 10/04/24 | 01:30 PM - 04:30 PM | D4.0.127 |
Wednesday | 10/23/24 | 05:00 PM - 07:30 PM | D4.0.019 |
Wednesday | 12/11/24 | 02:00 PM - 06:00 PM | LC.-1.038 |
Friday | 12/13/24 | 12:00 PM - 02:30 PM | LC.2.064 PC Raum |
Friday | 12/13/24 | 03:30 PM - 06:30 PM | LC.2.064 PC Raum |
Saturday | 12/14/24 | 10:00 AM - 12:30 PM | LC.-1.038 |
Saturday | 12/14/24 | 01:30 PM - 04:30 PM | LC.-1.038 |
This class introduces to methods and theory of program evaluation in health policy and social policy. It comprises three main parts:
Module 1: Introduction to Program Evaluation:
- Paradigms and typologies of program evaluation
- Describing and eliciting a Program Theory
- The social and political context of program evaluation
- Planning an evaluation
Module 2: Quantitative methods for Impact Evaluation
- The Potential Outcomes Framework
- Field experiment, Instrumental variables, Matching methods, Regression Discontinuity Designs, Difference-in Difference Designs
Module 3: Methods for Economic Evaluation
- Cost-benefit, cost-effectiveness, cost-utility analysis
After this course students are ...
- aware of the importance of the program theory to understand how and why a program works or fails to work,
- familiar with the components of an evaluation plan,
- aware of the importance of the social context of program evaluation,
- familiar with the causality concept in impact evaluation and its prerequisites,
- familiar with different econometric approaches to identify program effects,
- familiar with different approaches how to relate program benefits to its costs and draw conclusions about efficiency,
- able to critically reflect on different methods of impact and economic evaluation in terms of their limitations and benefits.
This being a ‘course with continuous assessment (PI)’, the University requires students to attend at least 80% of the time of the scheduled course units for completing the course successfully.
Ideally you attend all units fully. If you are unable to fully attend a unit, please let the lecturer know in advance.
In case online units are scheduled, the same attendance requirements apply.
- Lectures
- Examples
- Group discussions
- Discussion of distributed papers and examples
- Application in statistical software (e.g. Excel/R/Stata), exercises & examples
Assessment Components (relative weights in the final grade)
- 40% (Individual) Written exam
- 50% (Group) project
- 10% (Individual) active participation
Grade Key (point ranges)
- 1: Excellent (90-100 points)
- 2: Good (80-89 points)
- 3: Satisfactory (65-79 points)
- 4: Sufficient (50-64 points)
- 5: Fail (0-49 points)
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