What test should I run on the data to find out what sort of panel data model may I use?
In the practice booklet it says:
"Estimate a panel data regression model, where you investigate the hypothesis that the moderator strengthens a positive effect of your x variable on the y variable—including control variable c1 but without the ‘dummy’ variable and without the c2 variable. You do not need to use lagged or lead variables—simply put the variables into the model as-is."
The options are: (a) random effects; (b) fixed effects; (c) mixed effects; (d) non-linear effects.
I heard about Hausman test, but is that enough to determine? Or should I pay attention to something else?
In the practice booklet it says:
"Estimate a panel data regression model, where you investigate the hypothesis that the moderator strengthens a positive effect of your x variable on the y variable—including control variable c1 but without the ‘dummy’ variable and without the c2 variable. You do not need to use lagged or lead variables—simply put the variables into the model as-is."
The options are: (a) random effects; (b) fixed effects; (c) mixed effects; (d) non-linear effects.
I heard about Hausman test, but is that enough to determine? Or should I pay attention to something else?
Comment