Lecture Notes
| TOPICS | ||
|---|---|---|
| 1 | What is evaluation?
|
Lecture 1 slides (PDF) |
| 2 | Why randomize?
|
Lecture 2 slides (PDF) |
| 3 | How to Randomize I
|
Lecture 3 slides (PDF) |
| 4 | How to Randomize II
|
Lecture 4 slides (PDF) |
| 5 | Measurement and Outcomes
|
Lecture 5 slides (PDF) |
| 6 | Sample Size and Power Calculations
|
Lecture 6 slides (PDF) |
| 7 | Managing threats to evaluation and data analysis
|
Lecture 7 slides (PDF) |
| 8 | Analyzing Data
|
Lecture 8 slides (PDF) |
Acknowledgements
The lecture notes were created over several years by the following people:
- Esther Duflo, Professor of Economics, MIT
- Abhijit Banerjee, Professor of Economics, MIT
- Rachel Glennerster, Executive Director, J-PAL
- Michael Kremer, Professor of Economics, Harvard University
- Dan Levy, Lecturer, Harvard Kennedy School of Government
- Dean Karlan, Professor of Economics, Yale University
- Sendhil Mullainathan, Professor of Economics, Harvard University
- Ben Olken, Associate Professor of Economics, MIT
- Rohini Pande, Professor of Public Policy, Harvard Kennedy School of Government
- Shawn Cole, Assistant Professor of Business Administration, Harvard Business School
- Erica Field, Assistant Professor of Economics, Harvard University
- Greg Fisher, Lecturer in Economics, London School of Economics
- Rema Hanna, Assistant Professor of Public Policy, Harvard Kennedy School of Government
- Leigh Linden, Assistant Professor of Economics, Columbia University
- Pascaline Dupas, Assistant Professor of Economics, UCLA
- Seema Jayachandran, Assistant Professor of Economics, Stanford University
- Luc Behaghel, INRA Researcher, Paris School of Economics
- Bruno Crepon, Researcher, ENSAE and Ecole Polytechnique
- Marc Gurgand, Associate Professor, Paris School of Economics
- William Pariente, Post-Doctoral Fellow, J-PAL
- Nava Ashraf, Assistant Professor of Business Administration, Harvard Business School
- Karthik Muralidharan, Assistant Professor of Economics, UCSD