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Published November 22, 2023 | Version v1.0.0
Computational notebook Open

Replication code for An Empirical Approximation of the Effects of Trade Sanctions with an Application to Russia

  • 1. ROR icon New York University Abu Dhabi

Description

The code in this release replicates all tables and figures in the paper "An Empirical Approximation of the Effects of Trade Sanctions with an Application to Russia", published in Economic Policy, 2023, by Jean Imbs and Laurent Pauwels. It requires data available at: https://doi.org/10.5281/zenodo.10122045

Refer to the Readme.md file for instructions and descriptions.

Files

laurentpauwels/sanctionpaper-v1.0.0.zip

Files (5.4 MB)

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Additional details

Related works

Is part of
Journal article: 10.1093/epolic/eiad027 (DOI)
Is supplement to
Computational notebook: https://github.com/laurentpauwels/sanctionpaper/tree/v1.0.0 (URL)
Requires
Dataset: 10.5281/zenodo.10122045 (DOI)

References

  • Imbs, J., & Pauwels, L. (2023). Replication data for An Empirical Approximation of the Effects of Trade Sanctions with an Application to Russia [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10122045
  • Imbs, J., & Pauwels, L. (2023). An Empirical Approximation of the Effects of Trade Sanctions with an Application to Russia. Economic Policy. https://10.1093/epolic/eiad0272045