| Type: | Package |
| Title: | Input-Output Analysis |
| Version: | 0.3 |
| Description: | An implementation of the Input-Output model developed by Wassily Leontief that represents the interdependencies between different sectors of a national economy or different regional economies. |
| License: | MIT + file LICENSE |
| Suggests: | knitr, rmarkdown, covr, roxygen2, testthat |
| VignetteBuilder: | knitr |
| LazyData: | true |
| Depends: | R (≥ 2.10) |
| URL: | https://github.com/pachadotdev/leontief |
| BugReports: | https://github.com/pachadotdev/leontief/issues |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.1 |
| NeedsCompilation: | no |
| Packaged: | 2024-06-11 14:23:03 UTC; pacha |
| Author: | Mauricio Vargas Sepulveda
 [aut, cre],
Central Bank of Chile [dtc],
University of Bio-Bio [dtc] |
| Maintainer: | Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca> |
| Repository: | CRAN |
| Date/Publication: | 2024-06-11 15:20:07 UTC |
Augmented input requirement
Description
Augmented input requirement
Usage
augmented_input_requirement(X, w, c, d)
Arguments
X |
transaction matrix |
w |
wage vector |
c |
household consumption vector |
d |
final demand vector |
Examples
set.seed(200100)
X <- matrix(rnorm(100), nrow = 10)
w <- rnorm(10)
c <- rnorm(10)
d <- rnorm(10)
augmented_input_requirement(X, w, c, d)
Backward linkage
Description
Backward linkage
Usage
backward_linkage(A)
Arguments
A |
input requirement matrix |
Employment matrix (2013 data) This matrix contains the employed people by industry and the employment coefficient that is the number of people divided by the total final demand from the wage and demand matrix.
Description
Employment matrix (2013 data) This matrix contains the employed people by industry and the employment coefficient that is the number of people divided by the total final demand from the wage and demand matrix.
Usage
wage_demand_matrix
Format
A matrix with 12 rows and 2 columns
Author(s)
University of Bio-Bio, based on data from the National Bureau of Statistics
References
https://revistas.ubiobio.cl/index.php/HHEE/article/download/3441/3473/
Employment multiplier
Description
Employment multiplier
Usage
employment_multiplier(L, e)
Arguments
L |
Leontief inverse matrix |
e |
employment coefficients vector |
Employment number
Description
Employment number
Usage
employment_number(L, e, c)
Arguments
L |
Leontief inverse matrix |
e |
employment coefficients vector |
c |
change in final demand |
Equilibrium output
Description
Equilibrium output
Usage
equilibrium_output(L, d)
Arguments
L |
Leontief inverse matrix |
d |
final demand vector |
Examples
set.seed(200100)
L <- matrix(rnorm(100), nrow = 10)
d <- rnorm(10)
equilibrium_output(L, d)
Forward linkage
Description
Forward linkage
Usage
forward_linkage(A)
Arguments
A |
input requirement matrix |
Income multiplier
Description
Income multiplier
Usage
income_multiplier(L, w)
Arguments
L |
Leontief inverse matrix |
w |
wage vector |
Input requirement
Description
Input requirement
Usage
input_requirement(X, d)
Arguments
X |
transaction matrix |
d |
final demand vector |
Examples
set.seed(200100)
X <- matrix(rnorm(100), nrow = 10)
d <- rnorm(10)
input_requirement(X, d)
Leontief inverse
Description
Leontief inverse
Usage
leontief_inverse(A)
Arguments
A |
input requirement matrix |
Examples
set.seed(200100)
A <- matrix(rnorm(100), nrow = 10)
leontief_inverse(A)
Multiplier product matrix
Description
Multiplier product matrix
Usage
multiplier_product_matrix(L)
Arguments
L |
Leontief inverse matrix |
Output allocation
Description
Output allocation
Usage
output_allocation(X, d)
Arguments
X |
transaction matrix |
d |
final demand vector |
Examples
set.seed(200100)
X <- matrix(rnorm(100), nrow = 10)
d <- rnorm(10)
output_allocation(X, d)
Output multiplier
Description
Output multiplier
Usage
output_multiplier(L)
Arguments
L |
Leontief inverse matrix |
Examples
set.seed(200100)
L <- matrix(rnorm(100), nrow = 10)
output_multiplier(L)
Power of dispersion
Description
Power of dispersion
Usage
power_dispersion(L)
Arguments
L |
Leontief inverse matrix |
Power of dispersion coefficient of variation
Description
Power of dispersion coefficient of variation
Usage
power_dispersion_cv(L)
Arguments
L |
Leontief inverse matrix |
Sensitivity of dispersion coefficient of variation
Description
Sensitivity of dispersion coefficient of variation
Usage
sensitivity_dispersion(L)
Arguments
L |
Leontief inverse matrix |
Sensititivy of dispersion coefficient of variation
Description
Sensititivy of dispersion coefficient of variation
Usage
sensitivity_dispersion_cv(L)
Arguments
L |
Leontief inverse matrix |
Transaction matrix (2013 data) This matrix contains the production of the chilean economy divided into 12 industries. The measuring unit is CLP million of the year 2013
Description
Transaction matrix (2013 data) This matrix contains the production of the chilean economy divided into 12 industries. The measuring unit is CLP million of the year 2013
Usage
transaction_matrix
Format
A matrix with 12 rows and 12 columns
Author(s)
Central Bank of Chile
References
https://si3.bcentral.cl/estadisticas/Principal1/Excel/CCNN/cdr/excel.html
Wage and demand matrix (2013 data) This matrix contains the wage, intermediate demand and disaggregated final demand of the chilean economy divided into 12 industries. The final demand is given by components (household consumption, government consumption, etc.) and aggregated. The measuring unit is CLP million of the year 2013.
Description
Wage and demand matrix (2013 data) This matrix contains the wage, intermediate demand and disaggregated final demand of the chilean economy divided into 12 industries. The final demand is given by components (household consumption, government consumption, etc.) and aggregated. The measuring unit is CLP million of the year 2013.
Usage
wage_demand_matrix
Format
A matrix with 12 rows and 9 columns
Author(s)
Central Bank of Chile
References
https://si3.bcentral.cl/estadisticas/Principal1/Excel/CCNN/cdr/excel.html