nonregdist: Nonregression-based measures of distance between MP, DP, PP

In clptheory: Compute Price of Production and Labor Values

Nonregression-based measures of distance between MP, DP, PP

Description

This function computes different measures of distance between prices of production (PP), market prices (MP) and direct prices (DP).

Usage

nonregdist(x, y, w, w_avg, Q)

Arguments

x	price of production vector (1 x n).
y	direct prices vector (1 x n).
w	vector of nominal wage rates (1 x n).
w_avg	average wage rate (scalar).
Q	gross output vector (1 x n)

Value

A list with the following elements:

rmseppmp	RMSE between price of production and market prices
rmsedpmp	RMSE between direct prices and market prices
rmseppdp	RMSE between prices of production and direct prices
madppmp	MAD between price of production and market prices
maddpmp	MAD between direct prices and market prices
madppdp	MAD between prices of production and direct prices
mawdppmp	MAWD between price of production and market prices
mawddpmp	MAWD between direct prices and market prices
mawdppdp	MAWD between prices of production and direct prices
angleppmp	Angle between price of production and market prices
angledpmp	Angle between direct prices and market prices
angleppdp	Angle between prices of production and direct prices
ddistppmp	D-distance between price of production and market prices
ddistdpmp	D-distance between direct prices and market prices
ddistppdp	D-distance between prices of production and direct prices

Examples

# ------ Data

# price of production vector
x<- matrix(
data = c(0.25, 0.50, 0.75),
nrow=1
)
# direct price vector
y <- matrix(
data = c(0.33, 0.275, 0.85),
ncol=1
)
# Gross output vector
Q <- matrix(
data = c(26530, 18168, 73840),
ncol=1
)
# nominal wage rate vector
w <- matrix(
data = c(0.5, 0.33, 0.75),
ncol=1
)
# average wage (scalar)
w_avg <- 0.66
# Compute prices of production
nonregdist(x = x, y = y, Q = Q, w = w, w_avg = w_avg)

clptheory documentation built on March 18, 2026, 1:07 a.m.