Package: dfvad 0.3.6

Shipei Zeng

dfvad: Diewert and Fox's Method of Value Added Growth Decomposition

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) <doi:10.1093/oxfordhb/9780190226718.013.19> and Zeng, Parsons, Diewert and Fox (2018) <https://www.business.unsw.edu.au/research-site/centreforappliedeconomicresearch-site/Documents/emg2018-6_SZeng_EMG-Slides.pdf>.

Authors:Shipei Zeng

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dfvad/json (API)

# Install 'dfvad' in R:
install.packages('dfvad', repos = c('https://shipei-zeng.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/shipei-zeng/dfvad/issues

Datasets:
  • firms - Sample data for firm dynamics
  • mining - Sample Data for Value Added Decomposition
  • prices - Sample Data for Price Indexes
  • sector - Sample Data for Weighted Average Aggregation

On CRAN:

3.70 score 5 scripts 221 downloads 7 exports 0 dependencies

Last updated 3 years agofrom:4ece0fbd7e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-winOKNov 23 2024
R-4.5-linuxOKNov 23 2024
R-4.4-winOKNov 23 2024
R-4.4-macOKNov 23 2024
R-4.3-winOKNov 23 2024
R-4.3-macOKNov 23 2024

Exports:dynamicspb_indexpm_indexroll_divroll_prodt_weightvalue_decom

Dependencies:

Using dfvad for Value Added Decomposition

Rendered fromdfvad_vignette.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2020-02-19
Started: 2020-02-19