Replication Data for: Endogenous Opposition: Identity and Ideology in Kuwaiti Electoral Politics (doi:10.7910/DVN/UPJ2BE)

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Document Description

Citation

Title:

Replication Data for: Endogenous Opposition: Identity and Ideology in Kuwaiti Electoral Politics

Identification Number:

doi:10.7910/DVN/UPJ2BE

Distributor:

Harvard Dataverse

Date of Distribution:

2025-02-12

Version:

1

Bibliographic Citation:

Daniel L. Tavana, 2025, "Replication Data for: Endogenous Opposition: Identity and Ideology in Kuwaiti Electoral Politics", https://doi.org/10.7910/DVN/UPJ2BE, Harvard Dataverse, V1

Study Description

Citation

Title:

Replication Data for: Endogenous Opposition: Identity and Ideology in Kuwaiti Electoral Politics

Identification Number:

doi:10.7910/DVN/UPJ2BE

Authoring Entity:

Daniel L. Tavana (Penn State)

Producer:

Daniel L. Tavana

Distributor:

Harvard Dataverse

Access Authority:

Daniel L. Tavana

Depositor:

Daniel L. Tavana

Date of Deposit:

2024-12-19

Holdings Information:

https://doi.org/10.7910/DVN/UPJ2BE

Study Scope

Keywords:

Social Sciences, Middle East, elections, authoritarian regimes, opposition, ethnic politics, legislatures

Abstract:

How do opposition elites succeed in authoritarian elections? Existing theories of authoritarian politics suggest a pivotal role for elections in enhancing the survival of incumbent dictators. Yet, in many contexts, opposition elites attract considerable support and constrain the policymaking authorities of these dictators. This article presents a theory of endogenous opposition that traces the electoral success of opposition elites to the strategic use of symbolic ideological appeals, or campaign appeals that cast politicians as allies of particular ideological movements. I present quantitative and qualitative evidence in support of my argument from Kuwait. I show that minority elites who use symbolic ideological appeals are more likely to capture voters from other minority groups. Once elected, these legislators are more likely to oppose the ruling family in the legislature. These findings challenge existing theories of authoritarian politics and point to ideology as an understudied source of opposition success in authoritarian elections.

Notes:

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

Methodology and Processing

Sources Statement

Data Sources:

Coppedge, Michael, Gerring, John, Knutsen, Carl Henrik, Lindberg, Staffan I., Teorell, Jan, Alizada, Nazifa, Altman, David, Bernhard, Michael, Cornell, Agnes, Fish, M. Steven, Gastaldi, Lisa, Gjerløw, Haakon, Glynn, Adam, Hicken, Allen, Hindle, Garry, Ilchenko, Nina, Krusell, Joshua, Luhrmann, Anna, Maerz, Seraphine F., Marquardt, Kyle L., McMann, Kelly, Mechkova, Valeriya, Medzihorsky, Juraj, Paxton, Pamela, Pemstein, Daniel, Pernes, Josefine, von Römer, Johannes, Seim, Brigitte, Sigman, Rachel, Skaaning, Svend-Erik, Staton, Jeffrey, Sundström, Aksel, tan Tzelgov, Ei, ting Wang, Yi, Wig, Tore, Wilson, Steven, & Ziblatt, Daniel. 2021. V-Dem Country-Year/Country-Date Dataset v11.1. Varieties of Democracy (V-Dem) Project. https://v-dem.net/data/dataset-archive/country-year-v-dem-fullothers-v111/. <br></br> Tavana, Daniel L. 2025. Replication Data for: Endogenous Opposition: Identity and Ideology in Kuwaiti Electoral Politics. Harvard Dataverse. https://doi.org/10.7910/DVN/UPJ2BE.

Data Access

Disclaimer:

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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