ppstdint3: Capital stock model 1 using the Standard Interpretation.

In clptheory: Compute Price of Production and Labor Values

Capital stock model 1 using the Standard Interpretation.

Description

This function computes the uniform rate of profit, prices of production and labor values for a basic capital stock model using the Standard Interpretation. The model has uniform wage rates across industries and does not take into account unproductive labor for labor value calculations.

Usage

ppstdint3(A, l, b, Q, D, K, t, l_simple)

Arguments

A	input-output matrix (n x n).
l	vector of complex labor input (1 x n).
b	vector real wage bundle (n x 1).
Q	gross output vector (n x 1).
D	depreciation matrix (n x n).
K	capital stock coefficient matrix (n X n).
t	turnover matrix (n x n diagonal matrix).
l_simple	vector of simple labor input (1 x n).

Value

A list with the following elements:

meig	Maximum eigen value of N
urop	Uniform rate of profit (as a fraction)
mrop	Maximum rate of profit (as a fraction)
ppabs	Price of production vector (absolute)
pprel	Price of production vector (relative)
lvalues	Labor values vector
dprice	Direct price vector
mevg	Monetary expression of value using gross output
nnonneg	Is N Nonnegative? (1=Y,0=N)
nirred	Is N Irreducible? (1=Y,0=N)

References

Basu, Deepankar and Moraitis, Athanasios, "Alternative Approaches to Labor Values andPrices of Production: Theory and Evidence" (2023). Economics Department Working Paper Series. 347. URL: https://scholarworks.umass.edu/econ_workingpaper/347/

Examples

# ------ Data
# Input-output matrix
A <- matrix(
data = c(0.265,0.968,0.00681,0.0121,0.391,0.0169,0.0408,0.808,0.165),
nrow=3, ncol=3, byrow = TRUE
)
# Direct labor input vector (complex)
l <- matrix(
data = c(0.193, 3.562, 0.616),
nrow=1
)
# Real wage bundle
b <- matrix(
data = c(0.0109, 0.0275, 0.296),
ncol=1
)
# Gross output vector
Q <- matrix(
data = c(26530, 18168, 73840),
ncol=1
)
# Direct labor input vector (simple)
l_simple <- l
# Depreciation matrix
D <- matrix(data = c(0,0,0,0.00568,0.0267,0.0028,0.00265,0.0147,0.00246),
nrow=3, ncol=3, byrow = TRUE
)
# Capital stock coefficient matrix
K <- matrix(
data = c(0,0,0,0.120,0.791,0.096,0.037,0.251,0.043),
nrow=3, ncol=3, byrow = TRUE
)
# Diagonal turnover matrix
t <- diag(c(0.317, 0.099, 0.187))
# Compute prices of production
ppstdint3(A = A,l = l,b = b,Q = Q,l_simple = l,D=D,K=K,t=t)

clptheory documentation built on April 4, 2023, 5:15 p.m.