ci_rbod_dir function

Directional Robust Benefit of the Doubt approach (D-RBoD)

Directional Robust Benefit of the Doubt approach (D-RBoD) is the directional robust version of the BoD method.

ci_rbod_dir(x,indic_col,M,B,dir)

Arguments

• x: A data.frame containing score of the simple indicators.
• indic_col: Simple indicators column number.
• M: The number of elements in each of the bootstrapped samples.
• B: The number of bootstap replicates.
• dir: Main direction. For example you can set the average rates of substitution.

Returns

An object of class "CI". This is a list containing the following elements: - ci_rbod_dir_est: Composite indicator estimated values.

• ci_method: Method used; for this function ci_method="rbod_dir".

References

Daraio C., Simar L., "Introducing environmental variables in nonparametric frontier models: a probabilistic approach", Journal of productivity analysis, 2005, 24(1), 93 121.

Simar L., Vanhems A., "Probabilistic characterization of directional distances and their robust versions", Journal of Econometrics, 2012, 166(2), 342 354.

Vidoli F., Fusco E., Mazziotta C., "Non-compensability in composite indicators: a robust directional frontier method", Social Indicators Research, Springer Netherlands.

Author(s)

Fusco E., Vidoli F.

See Also

ci_bod, ci_rbod

Examples

data(EU_NUTS1)
data_norm = normalise_ci(EU_NUTS1,c(2:3),polarity = c("POS","POS"), method=2)
CI = ci_rbod_dir(data_norm$ci_norm, c(1:2), M = 25, B = 50, c(1,0.1))