Classical linear regression: review
Structure of panel data: cross-sectional and time-series dimension
Fixed and random effects
This course focuses on panel data techniques, a methodology that makes an analysis of a large number of objects through short periods in time. It can be particularly relevant for studying dynamic changes in household behavior, enterprise productivity, investment and regional growth. Each class is a three hour lectures. Two hours will be dedicated to the lesson and one hour to applications on STATA.
Classical linear regression: review
Structure of panel data: cross-sectional and time-series dimension
Fixed and random effects
Fixed effect: LSDV estimation
Random effect: GLS estimation
Between and within estimators
Poolability
Hausman specification test
C-test of endogeneity
IV estimation