efficiencies.dea: Objective scores

In deaR: Conventional and Fuzzy Data Envelopment Analysis

Objective scores

Description

Extract the scores (optimal objective values) of the evaluated DMUs from a conventional DEA solution. Note that these scores may not always be interpreted as efficiencies.

Usage

## S3 method for class 'dea'
efficiencies(x, ...)

Arguments

x	Object of class dea obtained with some of the conventional DEA model_* functions.
...	Other options (for compatibility reasons).

Author(s)

Vicente Coll-Serrano ([e-mail]). Quantitative Methods for Measuring Culture (MC2). Applied Economics.

Vicente Bolós ([e-mail]). Department of Business Mathematics

Rafael Benítez ([e-mail]). Department of Business Mathematics

University of Valencia (Spain)

References

Tomkins, C.; Green, R. (1988). “An Experiment in the Use of Data Envelopment Analysis for Evaluating the Efficiency of UK University Departments of Accounting”. Financial Accountability and Management 4(2): 147.

Examples

# Replication results model DEA1 in Tomkins and Green (1988)
data("Departments")
# Calculate Total income
Departments$Total_income <- Departments[, 5] + Departments[, 6] + Departments[, 7] 
data_DEA1 <- make_deadata(Departments,
                          inputs = 9,
                          outputs = c(2, 3, 4, 12))
result <- model_basic(data_DEA1,
                      orientation = "io",
                      rts = "crs")
efficiencies(result) # Table 3 (p.156) 

deaR documentation built on May 2, 2023, 5:13 p.m.