Doyle_Green_1994 {deaR} | R Documentation |
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 (vicente.coll@uv.es). Quantitative Methods for Measuring Culture (MC2). Applied Economics.
Vicente Bolos (vicente.bolos@uv.es). Department of Business Mathematics
Rafael Benitez (rafael.suarez@uv.es). 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. 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