Simar y Wilson 2007, second algorithm, results

General
1

Hi,

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?

Thank you.

CLP

2

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