This course focuses on the
identification and estimation of causal effects using observational data. The
course is divided into two blocks.
The first block introduces
the concepts of potential outcome and discusses inference of casual effect to
the sample under investigation (the experiment) and to the population under
study. Furthermore, it introduces the notion of estimands or parameters of interest
as well as discussing non-parametric models in the estimation of these objects
of interests under unconfoundedness.
The second part of the course discusses designs
or methods that do not relay on the unconfoundedness assumptions often used in
micro econometric application. The design stems from the type of data that the
researcher have available but the estimator will always be some form of
Wooldridge Jeffrey M. Econometric Analysis of Cross
Section and Panel data
Zoom Meeting ID：849 963 1368