iotables
The symmetric input-output tables (SIOTs) are complex statistical products that present inter-related statistics in a predefined structure. They are often found in spreadsheets that follow this structure, or in the case Eurostat in a data repository. In both cases they in reproducible research must be downloaded and restructured to programmatically accessible form. Often these highly structured statistics need to be analyzed together with other data, for example, when employment effects and multipliers are calculated. In this case processing the employment data to SIOT conforming format is a significant preprocessing challenge.
The iotables are exactly designed for these tasks. Currently the package downloads and processes standardized European SIOTs conforming to the latest statistical regulations, i.e. SIOTs starting from the year 2010.
The aim of this introduction is not to introduce input-output economics,
or SIOTs in detail. The Eurostat Manual of Supply, Use and Input-Output
Tables
and the Eurostat thematic
page
(for further reference: Eurostat Manual
) in the documentation should
be consulted for further information about the data and the metadata.
In order to test the analytical functions of the package and to have a
manageable sized example data set, we use the real-life data from the
Eurostat manual. The germany_1990
dataset is a simplified 6x6 sized
SIOT taken from the Eurostat Manual
(p481
). The package function
examples can be checked against published results from Jörg
Beutel.
These calculations can be followed in the Germany 1990
vignette.
The calculation of induced effects (Type-II multipliers) are following the Input-Output Multipliers Specification Sheet and Supporting Material, Spicosa Project Report. The analytical functions are tested against this example, too.
Installation
You can install iotables from CRAN or the latest development version with github:
# From CRAN:
install.packages("iotables")
# From Github (development version)
devtools::install_github("rOpenGov/iotables")
#with vignettes:
#devtools::install_github("rOpenGov/iotables", build_vignettes = TRUE)
You can follow changes on the NEWS.md file.
Acquiring data
Eurostat’s data can be downloaded in several tidy, long-form, files, and a lot of filtering is needed to start working with it.
Currently the following Eurostat SIOTs can be used:
product x product SIOTs
naio_10_cp1700
ornaio_10_pyp1700
;industry x industry SIOTs
naio_10_cp1750
ornaio_10_pyp1750
;use tables at basic prices
naio_10_cp1620
ornaio_10_pyp1610
;trade and transport margins
naio_10_cp1620
ornaio_10_pyp1620
;net taxes less subsidies
naio_10_cp1630
ornaio_10_pyp1630
;Supply table at basic prices incl. transformation into purchasers’ prices (naio_10_cp15) and Use table at purchasers’ prices (naio_10_cp16).
The cp
element refers to basic prices and the pyp
to previous years’
prices.
Vignettes
Given the complexity of the data used by the package, probably the use of the vignettes is needed to get a start.
The Germany
1990
vignette presents most of the examples of the Eurostat Manual of
Supply, Use and Input-Output
Tables
(Eurostat Manual, Chapter 15.) This is a good introduction to understand
what will the functions do, and to check that they work correctly. The
testthat
infrastructure of the package checks the proper working of
the functions against the published results from the Eurostat Manual
.
The Working with Eurostat Data vignette shows how you can download, pre-process and use real data from Eurostat.
The United Kingdom Input-Output Analytical Tables
2010
are used for testing the iotables
package, because they are
well-documented and detailed, organized data is available with them.
These calculations can be followed in the United Kingdom Input-Output
Analytical
Tables
vignette.
Contribute
Contributions are very welcome:
- Issue tracker for feedback and bug reports.
- Pull requests
- Github page
Acknowledgements
Kindly cite this work as follows:
Daniel Antal. (2020, August 2). rOpenGov/iotables: Importing and Manipulating Symmetric Input-Output Tables (Version 0.4.5). Zenodo. https://doi.org/10.5281/zenodo.5153006 for released version. Development version URL: https://ropengov.github.io/iotables/
Thanks to @KKulma for setting up new and improved continuous integration, and @pitkant for implementing many good practices on improving the code. See contributors. This project is part of rOpenGov.
Code of Conduct
Please note that the iotables project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.