growth: Growth rates

In REAT: Regional Economic Analysis Toolbox

Description

This function calculates the growth from two input numeric vectors

Usage

growth(val1, val2, growth.type = "growth",
output = "rate", rate.perc = FALSE, log.rate = FALSE, 
factor.mean = "mean", time.periods = NULL)

Arguments

val1	First numeric vector (e.g. employment at time t)
val2	Second numeric vector (e.g. employment at time t) or data frame for times t+1, t+2, t+3, ..., t+n
growth.type	Type of growth value that has to be calculated (absolute values or growth rate)
output	Type of output in the case of several years: growth rate (default: output = "rate") or annual values (output = "annual")
rate.perc	Logical argument that indicates whether growth rates are expressed in percent or not
log.rate	Logical argument that indicates whether growth rates are logged or not
factor.mean	If growth factors are returned: arithmetic mean (factor.mean = "mean") or geometric mean (factor.mean = "geom")
time.periods	No. of regarded time periods (for average growth rates)

Value

A numeric vector containing the growth rates in the same order as stated

Author(s)

Thomas Wieland

Examples

# Example from Farhauer/Kroell (2013):
region_A_t <- c(90,20,10,60)
region_A_t1 <- c(100,40,10,55)
# data for region A (time t and t+1)
nation_X_t <- c(400,150,150,400)
nation_X_t1 <- c(440,210,135,480)
# data for the national economy (time t and t+1)
growth(region_A_t, region_A_t1)

data(Freiburg)
# Loads the data
growth(Freiburg$e_Freiburg2008, Freiburg$e_Freiburg2014, growth.type = "rate")
# Industry-specific growth rates for Freiburg 2008 to 2014

Example output

[1] 1.1111111 2.0000000 1.0000000 0.9166667
[1] -0.067902184  0.076083248  0.133025076  0.065511881  0.003272835
[6]  0.189887640  0.191918380  0.249519763  0.099522162

REAT documentation built on Sept. 5, 2021, 5:18 p.m.