This module reviews regression, which we all know but could know better. We review the derivation of linear regression coefficients, the use of fixed effects, and the Firsch-Waugh-Lovell theorem.
A multifaceted program causes lasting progress for the very poor: Evidence from six countries
Building Stable Livelihoods for the Ultra-poor
A handout version of the lecture slides is available here.
The stata version of the empirical exercise is available here
The R version of the empirical exercise is available here
The Python version of the empirical exercise is available here