ci_geom_bod_intertemp {Compind} R Documentation

## 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

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



[Package Compind version 3.1 Index]