TaxFoundation / capital-cost-recovery

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Capital Cost Recovery across the OECD

The Tax Foundation’s publication Capital Cost Recovery across the OECD shows how capital allowances compare across OECD countries and how they have developed since 2000. The dataset we compiled for the years 1979 to 2022 is made available as a resource for research.

Latest Release

The current version of this project is 1.2.0 (2023-04-04).

Installation Directions

You can analyze the data on your personal computer by using R.

Cloning the GitHub repository

To install capital-cost-recovery, run the following in the folder you wish to store the files:

git clone https://github.com/TaxFoundation/capital-cost-recovery

cd capital-cost-recovery

More details on cloning a repository can be found here.

Installing R

If you haven't already done so, download and install RStudio.

All necessary functions to run capital-cost-recovery can be called from capital-cost-recovery/capital_cost_recovery.R. See below for an explanation of the source data and the folders and files in the repository.

The Dataset

Scope

The source dataset compiled for this publication includes the 2020 depreciation schedules of all 38 OECD countries for the following three assets: industrial buildings, machinery, and intangibles.

In addition, the dataset includes historic depreciation schedules for the time period 1979 to 2020. However, years prior to 2000 do not include data for all OECD countries (e.g., the year 1979 only includes data for Canada, Finland, and Germany). The dataset also includes some historic depreciation schedules data for non-OECD countries.

It also includes the best available inventory valuation methods in OECD countries up until 2022, statutory corporate tax rates, effective average tax rates (EATRs), and effective marginal tax rates (EMTRs) for certain years and countries. However, these variables are not used in this report.

Depreciation Methods

There are various depreciation methods. The dataset captures them as follows:

We assume that businesses will choose the tax-optimizing depreciation method (higher allowances in earlier years) and list that method in the dataset while ignoring less optimal alternatives businesses might have.

The document Oxford_CBT_Tax_Database_Data_Description.md provides more details on how this dataset is structured and what the variables are.

Explanation of Files in Repository

/main directory

Location of the R code, the source documentation, a detailed description of the dataset, and this README.

The R code reads in and downloads the necessary data, cleans the data, corrects data, merges datasets, and produces intermediate and final output datasets and tables.

The source documentation cites all the sources used.

The description of the dataset explains the variables it contains and gives some background information.

/source-data

Location of input files to .R code file including:

/final-data

Location of final data files of .R code file including

/final-outputs

Location of output tables that are included in the publication or needed to produce the charts that are part of the publication.

Contact Information

This repository is maintained by Daniel Bunn at the Tax Foundation.

Suggested Citation

Please cite the source of your analysis as "Tax Foundation, "Capital Cost Recovery across the OECD," author's calculations." If you would like to link to the GitHub repository, please use https://github.com/PSLmodels/capital-cost-recovery/tree/master. If you would like to link to the associated Tax Foundation publication, please use https://taxfoundation.org/publications/capital-cost-recovery-across-the-oecd/.