Episodes of Regime Transformation Dataset

The ERT dataset identifies episodes of democratization (liberalizing autocracy, democratic deepening) and autocratization (democratic regression, autocratic regression) in the most recent V-Dem dataset. For further details see Maerz et al (2021), Lührmann and Lindberg (2019), Boese et al. (2021) or Wilson et al. (2020) and the ERT codebook.

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How to download the ERT dataset

There are two ways to download and work with the ERT dataset.

1

Use our R-package

We provide an R package to load, explore, and work with the ERT dataset here.

2

Download the dataset as a CSV-file.

For non-R users we also provide the ERT dataset here as a csv. file. However, we recommend loading the ERT dataset via the R package since one huge advantage of the package is that it allows to flexibly set parameters for generating the episodes.

ERT Reference Documents

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Documentation

Download the ERT
Codebook.

Suggested citation: Edgell, Amanda B., Seraphine F. Maerz, Laura Maxwell, Richard Morgan, Juraj Medzihorsky, Matthew C. Wilson, Vanessa Boese, Sebastian Hellmeier, Jean Lachapelle, Patrik Lindenfors, Anna Lührmann, and Staffan I. Lindberg. (2020). Episodes of Regime Transformation Dataset (v2.0). Codebook.

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Documentation

Download the ERT Working Paper
Introducing the ERT Dataset.

Authors: Seraphine F. Maerz, Amanda B. Edgell, Matthew C. Wilson, Sebastian Hellmeier, Staffan I. Lindberg

University of Gothenburg, Varieties of Democracy Institute: Working Paper No. 113. February 2021.

Suggested Citations

The ERT Dataset:

  • Edgell, Amanda B., Seraphine F. Maerz, Laura Maxwell, Richard Morgan, Juraj Medzihorsky, Matthew C. Wilson, Vanessa Boese, Sebastian Hellmeier, Jean Lachapelle, Patrik Lindenfors, Anna Lührmann, and Staffan I. Lindberg. (2020). Episodes of Regime Transformation Dataset (v2.0).

The ERT R-Package:

  • Maerz, Seraphine F., Amanda B. Edgell, Joshua Krusell, Laura Maxwell, and Sebastian Hellmeier. (2020). ERT - an R package to load, explore and work with the Episodes of Regime Transformation dataset. Available at: www.github.com/vdeminstitute/ert.

License

The V-Dem datasets are available under the Creative Commons Attribution-ShareAlike License CC-BY-SA-license.txt (19.7 KB).

Publications

We encourage users of V-Dem data to submit papers to be published as Users' Working Papers . Contact nazifa.alizada@v-dem.net for submissions.