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Hello, My name is Gibran. I am doing a panel data study on the causes of deforestation in UEMOA.
N = 17 and i = 8. With the fixed effect regression I see that there is presence of individual effects in my panel since the p-value associated with the fisher statistic is 0.00. the hausman test tells me that he chooses the fixed effect model, but the R squared of this model is too small.
within = 45.4
between = 18
overall = 17
what to do? it disturbs it? I'd like your advice since this is for my memory license.
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