I'm implementing Simar and Wilson's (2007) second algorithm, with package rDEA, this is my code:
di_env = dea.env.robust (
X = X [empresas,], Y = Y [empresas,], Z = Z [empresas,], modelo = "salida",
RTS = "variable", L1 = 100, L2 = 2000, alfa = 0.05)
And this is the code for results:
rpbust2 <-rDEA :: dea.env.robust (X, Y, W = NULL, Z, model = "output", RTS = "variable", L1 = 10, L2 = 20, alpha = 0.05)
But how to explore are beta coefficients significant or not?
Can someone please help me?