Replication Data for: Xs We Share, or: Context Similarity, Culture, and the Diffusion of Populism (doi:10.7910/DVN/LIIUJK)

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Replication Data for: Xs We Share, or: Context Similarity, Culture, and the Diffusion of Populism

doi:10.7910/DVN/LIIUJK

Harvard Dataverse

2024-11-22

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Wiesehomeier, Nina; Düpont, Nils; Ruth-Lovell, Saskia P., 2024, "Replication Data for: Xs We Share, or: Context Similarity, Culture, and the Diffusion of Populism", https://doi.org/10.7910/DVN/LIIUJK, Harvard Dataverse, V1

Replication Data for: Xs We Share, or: Context Similarity, Culture, and the Diffusion of Populism

doi:10.7910/DVN/LIIUJK

Wiesehomeier, Nina (IE University)

Düpont, Nils (Universität Bremen)

Ruth-Lovell, Saskia P. (Radboud University)

Düpont, Nils

Harvard Dataverse

Düpont, Nils

Düpont, Nils

2024-04-26

https://doi.org/10.7910/DVN/LIIUJK

Social Sciences, populism, diffusion, culture, political parties

Do populist ideas travel across borders? Anecdotal evidence suggests as much, yet so far we lack a systematic assessment of whether diffusion takes place, and if so, under which conditions. We argue that context similarity enables the diffusion of populism among parties as it eases the adaption of populist framing of perceived grievances into the local context. Using a dyadic approach, we analyze diffusion effects among 923 parties in 67 countries from 1970 to 2018. We find that similar levels of political and economic exclusion foster learning from and emulating other parties abroad. We also uncover conditional effects for learning from other parties facing similar levels of income inequality or public sector corruption that hinge on a cultural prescreening though. Combined, our results have important implications for a better understanding of diffusion processes in general and the spread of populist ideas around the globe in particular.

This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University. <br></br> The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the <a href="https://www.cos.io/">Center for Open Science</a>. <br></br> <img src="https://socialsciences.cornell.edu/sites/default/files/2024-04/materials_large_color.png" alt="Open Materials Badge " width="60" height="60"> <br></br> Open Materials Badge

For more information on the following sources used for building the analysis dataset please consult the documentation and/or the Readme.txt file. <br></br> [1] Besche-Truthe, Fabian, Helen Seitzer, and Michael Windzio. 2020. Cultural Spheres – Creating a Dyadic Dataset of Cultural Proximity. Bremen: CRC 1342 "Global Dynamics of Social Policy, University of Bremen. SFB 1342 Technical Paper Series, 5/2020. <br></br> [2] Coppedge, Michael, John Gerring, Carl H. Knutsen, Staffan I. Lindberg, Jan Teorell, David Altman, Michael Bernhard, M. S. Fish, Adam Glynn, Allen Hicken, Anna Lührmann, Kyle L. Marquardt, Kelly McMann, Pamela Paxton, Daniel Pemstein, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Agnes Cornell, Lisa Gastaldi, Haakon Gjerløw, Valeri-ya Mechkova, Johannes von Römer, Aksel Sundtröm, Eitan Tzelgov, Luca Uberti, Yi-ting Wang, Tore Wig, and Daniel Ziblatt. 2020. V-Dem Codebook v10. Gothenburg: University of Gothenburg, Varieties of Democracy Institute (V-Dem). https://www.v-dem.net/en/data/reference-materials-v10. <br></br> [3] Döring, Holger, and Sven Regel. 2019. “Party Facts: A Database of Political Parties World-wide.” Party Politics 25 (2): 97–109. <br></br> [4] Gygli, Savina, Florian Haelg, and Jan-Egbert Sturm. 2018. The KOF Globalisation Index – Revisited. Zurich: KOF Swiss Economic Institute. KOF Working Papers, 439. <br></br> [5] Kitschelt, Herbert. 2013. Democratic Accountability and Linkages Project: 2008-9 Dataset. Duke University. https://sites.duke.edu/democracylinkage. <br></br> [6] Lindberg, Staffan I., Nils Düpont, Masaaki Higashijima, Yaman B. Kavasoglu, Kyle L. Mar-quardt, Michael Bernhard, Holger Döring, Allen Hicken, Melis Laebens, Juraj Medzihorsky, Anja Neundorf, Ora J. Reuter, Saskia R. Ruth-Lovell, Keith R. Weghorst, Nina Wiesehomei-er, Joseph Wright, Nazifa Alizada, Paul Bederke, Lisa Gastaldi, Sandra Grahn, Garry Hindle, Nina Ilchenko, Johannes von Römer, Steven Willson, Daniel Pemstein, and Brigitte Seim. 2022. Varieties of Party Identity and Organization (V-Party) Dataset V2. Göteborg: Varieties of Democracy (V-Dem) Project. <br></br> [7] Norris, Pippa. 2020. “Global Party Survey, 2019.” Harvard Dataverse. https://doi.org/10.7910/DVN/WMGTNS. [8] Solt, Frederick. 2020. “Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database.” Social Science Quarterly 101 (3): 1183–99.

The <i>American Journal of Political Science</i> and the Cornell Center for Social Sciences are not responsible for the accuracy or quality of data uploaded within the <i>AJPS</i> Dataverse, for the use of those data, or for interpretations or conclusions based on their use.

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documentation.pdf

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File description and codebook for dataset

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dyadic_data_for_populism.Rdata

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Analysis dataset (R format)

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figure1_trends.png

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Outfile written by populism_paper_replication.R (Figure 1 in text)

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figure2_coeffplot.png

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Outfile written by populism_paper_replication.R (Figure 2 in text)

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figure3_margeff.png

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Outfile written by populism_paper_replication.R (Figure 3 in text)

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populism_online_supplement_ajps.pdf

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Compiled PDF version of SI

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populism_online_supplement_ajps.Rmd

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Markdown script for generating the Supporting Information

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populism_paper_replication.R

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R script to replicate the analysis and values mentioned in text

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README.txt

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Readme file

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table1_descriptives.tex

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Outfile written by populism_paper_replication.R (Table 1 in text)

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