EAT {boostingDEA}R Documentation

Efficiency Analysis Trees

Description

This function estimates a stepped production frontier through regression trees.

Usage

EAT(data, x, y, numStop = 5, max.leaves, na.rm = TRUE)

Arguments

data

data.frame or matrix containing the variables in the model.

x

Column input indexes in data.

y

Column output indexes in data.

numStop

Minimum number of observations in a node for a split to be attempted.

max.leaves

Maximum number of leaf nodes.

na.rm

logical. If TRUE, NA rows are omitted.

Details

The EAT function generates a regression tree model based on CART under a new approach that guarantees obtaining a stepped production frontier that fulfills the property of free disposability. This frontier shares the aforementioned aspects with the FDH frontier but enhances some of its disadvantages such as the overfitting problem or the underestimation of technical inefficiency.

Value

An EAT object containing:


[Package boostingDEA version 0.1.0 Index]