Intermediate Quantitative Methods
The randomized testing of social policy is now a global phenomenon, influencing decision makers in international development, domestic social policy, and political/ corporate strategy. In this course we effectively used statistical software to explore data, find relationships between variables, form hypotheses about causality, and test them.
Syllabus
PIA2007_Syllabus.pdf115.73 KB
Note
I was TA for this course designed and lecturer by Pr. Sera Linardi
I taught three hours weekly recitation of econometrics and programming in R.
In this class students gained exposure to natural and field experiments related to MIT’s Poverty Action Lab (J-PAL), Housing and Urban Development (HUD), Department of Health and Human Services, and other institutions.
