1. 머리말
2. 패널자료모델의 구분
3. 고정효과모델(Fixed Effect Model)
4. 임의효과모델(Random Effect Model)
5. 우도추정(Maximum Likelihood Estimation)
6. 결 론
Recently, empirical research in economics has been enriched by the
availability of a wealth of new sources of data; cross sections of individuals
observed over time.
These allow us to construct and test more realistic behavioral models that
could not be identified using only a cross section or a single time series data
set.
Several estimation techniques for panel data analysis as well as conceptual
explanation for several models - fixed and random effect models - are
introduced, even the arguments is focused on the linear
case.
