Doyle_Green_1994: Data: Doyle and Green (1994).

In deaR: Conventional and Fuzzy Data Envelopment Analysis

Data: Doyle and Green (1994).

Description

Data adapted from Tomkins and Green (1988). 13 DMUs using 3 inputs to produce 2 outputs.

Usage

data("Doyle_Green_1994")

Format

Data frame with 13 rows and 6 columns. Definition of inputs (X) and outputs (Y):

y1 = Undergraduate

Number of undergraduates

y2 = Postgraduates

Number of postgraduates (taught and research)

y3 = Research_income

Research and other income

y4 = Publications

Number of publications

x1 = Salaries

Salaries of academic and related staff

x2 = Other_expenses

Other expenses

Author(s)

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

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

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

University of Valencia (Spain)

Source

Doyle, J.; Green, R. (1994). “Efficiency and cross efficiency in DEA: derivations, meanings and the uses”, Journal of Operational Research Society, 45(5), 567–578. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2584392")}

See Also

make_deadata, model_multiplier, cross_efficiency

Examples

# Example.
data("Doyle_Green_1994")
data_example <- make_deadata(datadea = Doyle_Green_1994,
                            dmus = 1,
                            inputs = 6:7,
                            outputs = 2:5)
result <- cross_efficiency(data_example,
                           orientation = "io",
                           selfapp = TRUE)
result$Arbitrary$cross_eff
result$Arbitrary$e
# Aggressive using method II
result$M2_agg$cross_eff
# Aggressive using method III
result$M3_agg$cross_eff

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