It is not desirable to use ordinary regression analysis for time series data since the assumptions on which the classical linear regression model is based will usually be violated. Violation of the ...

One of the key assumptions of the ordinary regression model is that the errors have the same variance throughout the sample. This is also called the homoscedasticity ...

Equivalence of fixed effects model and dummy variable regression Estimating a fixed effects model is equivalent to adding a dummy variable for each subject or unit of interest in the standard OLS ...