Levels: Productivity and profitability levels

In productivity: Indices of Productivity Using Data Envelopment Analysis (DEA)

Description

This function extracts individual productivity and profitability (when available) levels from any object created by either fareprim, fisher, hicksmoorsteen, laspeyres, lowe, malm, or paasche function.

Usage

Levels(object, ...)

Arguments

object	Object of class 'FarePrimont', 'Fisher', 'HicksMoorsteen', 'Laspeyres', 'Lowe', 'Malmquist', or 'Paasche'.
...	Currently not used.

Details

• An object of class 'FarePrimont' is a result of a call to fareprim.

• An object of class 'Fisher' is a result of a call to fisher.

• An object of class 'HicksMoorsteen' is a result of a call to hicksmoorsteen.

• An object of class 'Laspeyres' is a result of a call to laspeyres.

• An object of class 'Lowe' is a result of a call to lowe.

• An object of class 'Malmquist' is a result of a call to malm.

• An object of class 'Paasche' is a result of a call to paasche.

Value

• In the case of F<c3><a4>re-Primont, Fisher, Laspeyres, Lowe, Malmquist, and Paasche indices, the function returns a data frame containing all the elements and observations included in the "Levels" component of object.

• In the case of Hicks-Moorsteen index:

  • When components = FALSE (default) in the call to hicksmoorsteen, the function returns a data frame containing all the elements and observations included in the "Levels" component of the object of class 'HicksMoorsteen'.

  • When components = TRUE in the call to hicksmoorsteen, the function returns a list of three data frames:

    * HicksMoorsteen:

    A data frame containing all the elements and observations related to "Levels" component of the Hicks-Moorsteen index.

    * MalmquistHS:

    A data frame containing all the elements and observations related to "Levels" component of the Malmquist-hs index.

    * MalmquistIT:

    A data frame containing all the elements and observations related to "Levels" component of the Malmquist-it index.

Author(s)

Yann Desjeux, K Herv<c3><a9> Dakpo, Laure Latruffe

See Also

For details and information on returned values, see fareprim, fisher, hicksmoorsteen, laspeyres, lowe, malm, or paasche.

See also:
- Changes for productivity and profitability change indices; and
- Shadowp for shadow prices.

Examples

## Not run: 
  LOWE <- lowe(data = usagri, id.var = "States", time.var = "Years", x.vars = c(7:10), 
  y.vars = c(4:6), w.vars = c(14:17), p.vars = c(11:13))
  Lowe.levels <- Levels(LOWE)
  head(Lowe.levels)

## End(Not run)

Example output

* Please cite the 'productivity' package as:
  Dakpo K.H., Desjeux Y. and Latruffe L. (2018). productivity: Indices of Productivity and Profitability Using Data Envelopment Analysis (DEA). R package version 1.1.0.

See also: citation("productivity")

* For any questions, suggestions, or comments on the 'productivity' package, please make use of Tracker facilities at:
  https://r-forge.r-project.org/projects/productivity/

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DONE!        

  States Years        REV       COST      PROF       P         W       TT
1     AL  1995  3151937.2  3076791.1 1.0244235 1246324 1001667.5 1.244250
2     AR  1995  5806173.2  5024353.3 1.1556061 1396869 1041130.1 1.341685
3     AZ  1995  2467292.8  2105870.6 1.1716260 1518343  771040.9 1.969212
4     CA  1995 25138001.7 19351640.0 1.2990114 1589698 1345666.1 1.181347
5     CO  1995  4734779.8  5293807.4 0.8943997 1530161 1197829.1 1.277445
6     CT  1995   501367.9   504719.1 0.9933602 1678469 1089694.4 1.540311
          AO         AI       TFP       MP      TFPE       OTE       OSE
1  2.5289864  3.0716693 0.8233264 1.107877 0.7431568 0.8921511 0.9991874
2  4.1565630  4.8258649 0.8613094 1.107877 0.7774413 0.8947298 0.9430646
3  1.6249905  2.7312048 0.5949720 1.107877 0.5370379 1.0000000 1.0000000
4 15.8130640 14.3807145 1.0996021 1.107877 0.9925307 1.0000000 1.0000000
5  3.0943022  4.4195015 0.7001473 1.107877 0.6319720 0.9830156 0.9467030
6  0.2987055  0.4631749 0.6449086 1.107877 0.5821121 1.0000000 1.0000000
        OME      ROSE      OSME       RME        RE
1 0.8790790 0.9475762 0.8329943 0.8336717 0.7842713
2 0.9499463 0.9146957 0.8689118 0.9213704 0.8499453
3 0.9378785 0.5726093 0.5370379 0.5370379 0.9378785
4 1.0000000 0.9925307 0.9925307 0.9925307 1.0000000
5 0.9091314 0.7071487 0.6428911 0.6790843 0.8936903
6 0.9665450 0.6022607 0.5821121 0.5821121 0.9665450

productivity documentation built on May 1, 2019, 8:19 p.m.