Panel regression is a type of regression adapted to models with panel and time effects.
Panel regression is a modeling method adapted to panel data, also called longitudinal data or cross-sectional data. It is widely used in econometrics, where the behavior of statistical units (i.e. panel units) is followed across time. Those units can be firms, countries, states, etc. Panel regression allows controlling both for panel unit effect and for time effect when estimating regression coefficients.
The panel regression function developed in XLSTAT-R calls the plm function from the plm package in R (Yves Croissant).
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