Levels: Productivity and profitability levels
In productivity: Indices of Productivity Using Data Envelopment Analysis (DEA)

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/auxiliaries.R

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.

1	Levels(object, ...)

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

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.

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.

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

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.

## 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)

* 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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  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