24 February 2015 8 6K Report

If I would like to create a regression model including time-invariant explanatory variables (e.g. gender) as well as time-variant variables (e.g. income, health) for a longitudinal investigation of panel data - which technique would you recommend?

Is there any technique, that allows for the integration of both sorts of explanatory variables?

I've read about fixed effects regression, first difference and random effects, but have not found a promising answer, yet...

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