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dfvad
View on CRAN: Click
here
Download and install dfvad package within the R console
Install from CRAN:
install.packages("dfvad")
Install from Github:
library("remotes")
install_github("cran/dfvad")
Install by package version:
library("remotes")
install_version("dfvad", "0.3.6")
Attach the package and use:
library("dfvad")
Maintained by
Shipei Zeng
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-05
Latest Update: 2021-10-15
Description:
Decomposing value added growth into explanatory factors.
A cost constrained value added function is defined to specify the
production frontier. Industry estimates can also be aggregated using
a weighted average approach.
Details about the methodology and data can be found in Diewert and Fox (2018)
and Zeng, Parsons, Diewert and Fox (2018)
.
How to cite:
Shipei Zeng (2020). dfvad: Diewert and Fox's Method of Value Added Growth Decomposition. R package version 0.3.6, https://cran.r-project.org/web/packages/dfvad. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.3.0 (2020-03-05 11:50)
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Other R packages that dfvad depends,
imports, suggests or enhances
Complete documentation for dfvad
Functions, R codes and Examples using
the dfvad R package
Some associated functions: dynamics . firms . mining . pb_index . pm_index . prices . roll_div . roll_prod . sector . t_weight . value_decom .
Some associated R codes: dynamics.R . firms.R . mining.R . pb_index.R . pm_index.R . prices.R . sector.R . t_weight.R . value_decom.R . Full dfvad package functions and examples
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