Table 3

Descriptive statistics of DEA efficiency scores – general sample

Mean (%)Median (%)SD (%)Min (%)Max (%)
European Union
Model 1201810.578.6210.210.00100.00
 201712.7710.909.830.00100.00
 201610.788.989.650.06100.00
 201511.279.279.780.05100.00
 201411.509.609.550.09100.00
 201310.058.358.870.22100.00
Model 220189.237.946.940.0083.42
 201711.2910.237.150.0085.90
 20169.468.436.480.0479.71
 20159.928.716.720.0381.27
 201410.229.026.520.0676.89
 20139.087.8011.820.16432.20
Eurozone
Model 1201810.618.669.930.01100.00
 201713.1811.589.590.00100.00
 201610.678.989.510.08100.00
 201511.119.229.660.05100.00
 201411.319.569.450.09100.00
 20139.948.308.960.22100.00
Model 220189.418.006.890.0084.04
 201711.0910.5410.520.0080.93
 20169.398.436.380.0579.45
 20159.758.656.520.0380.96
 201410.058.986.360.0676.89
 20138.897.719.280.16283.61
United States
Model 1201836.0431.8415.581.61100.00
 201737.7134.0715.460.00100.00
 201635.8331.8415.713.06100.00
 201535.1232.2115.463.28100.00
 201427.1624.6214.061.25100.00
 201319.9417.0413.640.84100.00

Note(s): (1) The D.E.A. efficiency results of model 1 are generated using “rDEA” package version 4.47 in R software developed by Simm and Besstremyannaya (2016). (2) The dea efficiency results of model 2 are generated using the methodology of Simar and Wilson (2007), more specifically the algorithm 2 of the two-stage semi-parametric double bootstrapping method. (3) The size of confidence interval for the bias-corrected DEA score is 0.05

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