This is an archived course. A more recent version may be available at ocw.mit.edu.

Lecture Notes

Acknowledgments.

LEC # TOPICS SLIDES
1 What is evaluation?
Rachel Glennerster, J-PAL		 (This resource may not render correctly in a screen reader.PDF - 5.4MB)
2 Outcomes, indicators, and measuring impact
Rema Hanna, Harvard University		 (This resource may not render correctly in a screen reader.PDF)
3 Impact evaluation—why randomize?
Dan Levy, Harvard University		 (This resource may not render correctly in a screen reader.PDF - 1.0MB)
4 How to randomize
Rachel Glennerster, J-PAL		 (This resource may not render correctly in a screen reader.PDF - 2.1MB)
5 Sampling and sample size
Simone Schaner, Dartmouth college		 (This resource may not render correctly in a screen reader.PDF - 2.3MB)
6 Analysis and inference
Shawn Cole, Harvard University		 (This resource may not render correctly in a screen reader.PDF)
7 Randomized evaluation: start to finish
Nava Ashraf, Harvard University		 (This resource may not render correctly in a screen reader.PDF)
8 Cost effectiveness and scaling up
Iqbal Dhaliwal, J-PAL		 (PDF)