Benchmark and Frontier Analysis Using DEA and SFA

Methods for frontier analysis, Data Envelopment Analysis (DEA), under different technology assumptions (fdh, vrs, drs, crs, irs, add/frh, and fdh+), and using different efficiency measures (input based, output based, hyperbolic graph, additive, super, and directional efficiency). Peers and slacks are available, partial price information can be included, and optimal cost, revenue and profit can be calculated. Evaluation of mergers is also supported. Methods for graphing the technology sets are also included. There is also support for comparative methods based on Stochastic Frontier Analyses (SFA) and for convex nonparametric least squares for convex functions (StoNED). In general, the methods can be used to solve not only standard models, but also many other model variants. It complements the book, Bogetoft and Otto, Benchmarking with DEA, SFA, and R, Springer-Verlag, 2011, but can of course also be used as a stand-alone package.


News

$Id: NEWS 182 2018-05-10 11:52:55Z lao $

Upcoming

  • Directional distance efficiency for parametric function

  • A fast version of dea.boot

  • In dea.boot the options XREF and YREF must have the same units as does X and Y; this is about to change

Changes to Benchmarking version 0.27

  • An experimental implementing of the Malmquist index; minimal manual

  • Now dea.plot and related plots accept data.frame as arguments for X and Y as do the dea methods

  • It is possible to name the peers using the option \code{NAMES}

  • Check for NA in dea.plot and in summary(E)

  • Possible to set maximum number of peers to delete in eladder by parameter MAXELAD

  • Name of collumn for count of peers changed from '#' to 'count'

  • New technology "vrs+"; as "vrs", but with restrictins on individual lambda and sums of lambda by using the parameter \code{param}; note that the resulting technology set is not necessarily convex.

Changes to Benchmarking version 0.26

  • Corrected bug in sfa such that it now works when hessian=1 even when the package numDeriv is missing

  • All global functions are now imported in NAMESPACE; a demand from CRAN

Changes to Benchmarking version 0.25

  • Corrected a feature/bug in dea.boot that could lead to negative bias corrected efficiencies (reported by sevaral). Implemented option SHEPHARD.INPUT to avoid negative bias corrected efficiencies if this is wanted.

  • Corrected bug in summary percentages for direction out (reported by Dana Pancurova)

  • Corrected a bug in the sfa function that could leed to wrong results and missing standard errors if the function was called two or more times.

  • Direction graph does not work for the method mea; the function now stops with an error message and does no longer return ordinary dea efficiencies

Changes to Benchmarking version 0.24

  • Corrected dea.plot.transform that in certain cases missed a segment on the frontier

  • Corrected several manual pages

  • Use of FEAR has been droped as FEAR is hard to install and is not free.

  • The method mea can now be used for directions in, out, and in-out.

Changes to Benchmarking version 0.23

  • Corrected setting of options CONTROL (suggested by Arne Henningsen).

  • Changed from using the deprecated function is.real to use of is.numeric.

Changes to Benchmarking version 0.22

  • Corrected bug in dea.direct when the option DIRECTION was given by a number (reported by Tomas Balezentis).

Changes to Benchmarking version 0.21

  • Corrected bug in dea.plot(.transform) when y1 contains a 0 (bug reported by John P Burkett) and also corrected a few other odd problems in the method.

  • data.frames now possible instead of matrices in dea.dual as it have been for long in dea (bug reported by Marco Giuliano)

  • Better formatting af lambda in several output functions.

Changes to Benchmarking version 0.20

  • Changed email for the author/maintainer

  • The arguments RTS=fdh+ and param now also works for eladder and mea.

  • Solved a bug in cost.opt when number of firms defining the technology differ from the number of firms for for which optimal input is to be calculated. This makes it possible to calculate cost efficiency for a group of firms that differ for the group that defines the technology.

Changes to Benchmarking version 0.19

  • Speed of dea with ORIENTATION="graph" has been almost doubled do to splicing in the bisection algorithmen; and now it gives the right efficiency for firms outside the technology set (before the highest possible value was 2)

  • The function eladder now accepts the arguments XREF and YREF as well as RTS="fdh" anf RTS="fdh+"

  • The function dea with DIRECT and dea.direct now accepts RTS="fdh+"

  • Corrected bug for missing names of peers when using NAMES=TRUE in peers for RTS="fdh".

  • Slack is now ok for directinal efficiency

Changes to Benchmarking version 0.18

  • The function eladder now also accept the argument DIRECT for for use with directional efficiency; a case of a forgotten argument.

  • The function peers now just return NA when there are no peers at all.

  • A new function dea.boot to bootstrap without the FEAR package. Changed the name of the wrapper boot.fear for bootstrap using the FEAR package (a wrap of FEAR::boot.sw98).

  • Corrected bug in dea.dual and dea for output directional efficiency.

  • The basis is reset to default basis for each firm in mea efficiency to avoid numerical failures (status code 5).

  • In the function dea RTS=irs2 now bounds the individual lambdas to 0 or greater than or equal 1 and not just that their sum is greater than or equal 1 as for RTS=irs.

  • On request, numerical data frames are now accepted as arguments for X and Y. And as a byproduct vectors or arrays are condisered to be 1 good (input og output) for many firms.

  • Firms with missing values are removed in the function sfa.

Changes to Benchmarking version 0.17

  • The function dea now accepts the argument RTS="fdh+", a technology the combines free disposability and restricted or local constant return to scale.

  • Changed internal use of matrices such that the corresponds to standard R use, and, therefore, are not transposed in the start of many functions. For normal use this speeds up the functions marginally, but the internal structure of the functions are nicer.

  • Directional efficiency now works for RTS="fdh", but still waiting for RTS="fdh+".

  • Every group of functions are now documented in a separate file

  • Efficiencies with no solutions returns -Inf or Inf depending on the orientation. This is in agreement with the use in super efficiency.

  • Better summaries for Farrell and slack objects

  • Fixed bug in slack when either input and/or outputs have big values

Changes to Benchmarking version 0.16

  • eff() now returns efficiencies as array and not as matrix; makes it easier with further calculations with eff as dimensions are now a lesser problem.

  • Use of S3 method for efficiencies, compatible with the package frontier.

  • New function excess returns excess input and/or output for Farrell objects.

  • The function dea checks if X and Y are matrices and aborts if not.

  • make.merge can now use a named list to define mergers.

  • New function eladder and eladder.plot.

  • New function dea.direct for simplified directional efficiency with an interpretation a la Farrell.

  • The function slack works for directional efficiency

  • sdea (super-efficiency) works with directional efficiency

  • A wrapper around FEAR::boot.sw89 such that it can be called and deliver results as other functions in Benchmarking.

  • A new value for RTS in dea.plot: "fdh+". At the moment, however, it only works for in-out direction.

  • The documentation has been corrected and somewhat expanded.

Changes to Benchmarking version 0.15

  • The methods now stops if there is an unknown value for RTS or ORIENTATION

  • dea.dual now has argument DIRECT same way as dea

  • new function mea calculates multi-directional efficiencies

  • new function mea.lines draw lines in connection with mea

  • minor clarifications in the manual for dea.dual

bug fixes

  • dea argument DIRECT fixed for DIRECTION="out"; only worked when number of inputs and outputs was equal

Changes to Benchmarking version 0.14

  • make.merge can now use a factor to define mergers
  • data sets included
  • dea new argument DIRECT for directional efficiency
  • opdated all manuals

Reference manual

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install.packages("Benchmarking")

0.29 by Lars Otto, 2 months ago


Browse source code at https://github.com/cran/Benchmarking


Authors: Peter Bogetoft and Lars Otto


Documentation:   PDF Manual  


GPL (>= 2) license


Imports methods, stats, graphics, grDevices, Rcpp

Depends on lpSolveAPI, ucminf, quadprog

Linking to Rcpp


Imported by additiveDEA, farrell, jackstrap, npbr.

Depended on by Compind.


See at CRAN