I am doing an Plm regression. There is one dependent variable V and two independent variables TOP and LNA (top is dummy)
There are two indexes, N and P (Name and period)
After running the regression: I only find the intercept of TOP and not the intercept of LNA
Model1 <- plm(V ~ TOP + LNA,
data = Morris_data_thesis, index = c("N", "P"), model = "within")
Oneway (individual) effect Within Model
Call:
plm(formula = V ~ TOP + LNA, data = Morris_data_thesis, model = "within",
index = c("N", "P"))
Coefficients:
Estimate Std. Error t-value Pr(>|t|)
TOP -0.36226 0.18233 -1.9868 0.04795 *
---
Warning messages:
1: In is.recursive(.$object) && !is.primitive(.$object) && n > 0 :
'length(x) = 2 > 1' in coercion to 'logical(1)'
2: In is.recursive(.$object) && !is.primitive(.$object) && n > 0 :
'length(x) = 2 > 1' in coercion to 'logical(1)'
Dataset: https://docs.google.com/spreadsheets/d/1IlYhlJvH8KplKvwbAb1sJGQQLz9gvj_viEgBQ9XXaGU/edit?usp=sharing
