I am doing a work to school in which I have to analyze effect of expenditure for research and development on Gini index. I have Panel data and when I do Fixed effect model, I have problem with interpreting them. If anybody can help, I am looking for some place where I can find what each of the results I get means because I have to do other models as well.
This is what I get from fixed effect model:
Oneway (individual) effect Within Model
Call:
plm(formula = log(Gini) ~ log(VaR), data = data, model = "within")
Balanced Panel: n=17, T=11, N=187
Residuals :
Min. 1st Qu. Median 3rd Qu. Max.
-0.3140 -0.0933 0.0149 0.0972 0.2270
Coefficients :
Estimate Std. Error t-value Pr(>|t|)
log(VaR) -0.0272357 0.0078724 -3.4596 0.0006847 ***
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Total Sum of Squares: 2.8467
Residual Sum of Squares: 2.6584
R-Squared : 0.066139
Adj. R-Squared : 0.059773
F-statistic: 11.9691 on 1 and 169 DF, p-value: 0.00068471