ci_geom_bod_intertemp function

Intertemporal analysis for geometric mean quantity index numbers

Intertemporal analysis for geometric mean quantity index numbers with Benefit-of-the-Doubt weights - see function ci_bod_constr.

ci_geom_bod_intertemp(x0,x1,indic_col,up_w,low_w,bench)

Arguments

• x0: A data.frame containing simple indicators - time 0
• x1: A data.frame containing simple indicators - time 1
• indic_col: A numeric list indicating the positions of the simple indicators.
• up_w: Weights upper bound.
• low_w: Weights lower bound.
• bench: Row number of the benchmark unit

Returns

An object of class "CI". This is a list containing the following elements: - ci_geom_bod_intertemp_est: A matrix containing the Overall Change (period t1 vs t0), the Change Effect (period t1 vs t0), the Benchmark Effect (period t1 vs t0) and Weight Effect (period t1 vs t0).

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

References

Van Puyenbroeck T. and Rogge N. (2017) "Geometric mean quantity index numbers with Benefit-of-the-Doubt weights", European Journal of Operational Research, Volume 256, Issue 3, Pages 1004 - 1014

Author(s)

Rogge N., Vidoli F.

See Also

ci_bod_constr,ci_bod

Examples

i1_t1 <- seq(0.3, 0.5, len = 100)
i2_t1 <- seq(0.3, 1, len = 100)  
Indic_t1 = data.frame(i1_t1, i2_t1)

i1_t0 <- i1_t1 - rnorm (100, 0.2, 0.03)
i2_t0 <- i2_t1   - rnorm (100, 0.2, 0.03)
Indic_t0 = data.frame(i1_t0, i2_t0)

intertemp = ci_geom_bod_intertemp(Indic_t0,Indic_t1,c(1:2),up_w=0.95,low_w=0.05,1)
intertemp