What you'll learn
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In-depth understanding of experimental designs
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Critically evaluate quasi-experimental designs
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Differentiate between correlational and causal studies
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Develop the ability to design and conduct program evaluations
Course Description
The course will cover important aspects and methods of a results-based research framework. It will cover methods that at the frontier of monitoring and evaluation methods – such as randomized control trials and lab-in-field-experiments, as well as quasi experimental methods that attempt to uncover causal pathways in programs and policies; and identify the strengths and weaknesses of each method
Course Content
- Understanding why we evaluate
- Why do we conduct experiments
- Setting up RCTs
- The use of field and lab experiments
Topic 1: Multivariate regressions and matching techniques
- Why do we conduct multivariate regressions?
- Matching techniques to develop a counterfactual
Topic 2: Difference in differences and instrumental variables
- The use of DID techniques to uncover causal relations
- Instrumental variables as an identification technique
Topic 3: Regression discontinuity designs
- Use and practicalities of RDD
- Identifying the strengths and weaknesses of the methods discussed in the course
Trainer
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- Assistant Professor, Department of Economics ,
Lahore University of Management Sciences - - Associate Director Mahbub ul Haq Research Centre
Farah Said
Frequently Asked Questions
Students, with an undergraduate degree; entry-to-mid level program managers, researchers and development professionals.