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deaR (version 1.2.5)

Fortune500: Data: Zhu (2014).

Description

This dataset consists of 15 firms from the Fortune 500 list 1995 (https://fortune.com/fortune500/) with 3 inputs and 2 outputs.

Usage

data("Fortune500")

Arguments

Format

Data frame with 15 rows and 6 columns. Definition of inputs X) and outputs (Y):

x1 = Assets

Assets (millions of dollars)

x2 = Equity

Equity (millions of dollars)

x3 = Employees

Number of employees

y1 = Revenue

Revenue (millions of dollars)

y2 = Profit

Profit (millions of dollars)

Author

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)

See Also

read_data, model_multiplier

Examples

Run this code
data("Fortune500")
data_Fortune <- read_data(datadea = Fortune500,
                          dmus = 1,
                          inputs = 2:4,
                          outputs = 5:6)
result <- model_multiplier(data_Fortune,
                           epsilon=0.000001,
                           orientation="io",
                           rts="crs")
# results for General Motors and Ford Motor are not shown
# by deaR because the solution is infeasible
efficiencies(result)
multipliers(result)

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