ci_geom_bod_intertemp: Intertemporal analysis for geometric mean quantity index...

In Compind: Composite Indicators Functions

Intertemporal analysis for geometric mean quantity index numbers

Description

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

Usage

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

Value

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".

Author(s)

Rogge N., Vidoli F.

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

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 

Compind documentation built on Nov. 20, 2023, 5:08 p.m.