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Persistent Identifier
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doi:10.7910/DVN/6RL6ID |
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Publication Date
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2024-05-01 |
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Title
| Replication Data for: Race, Legislative Speech, and Symbolic Representation in Congress |
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Author
| Vishwanath, ArjunVanderbilt University |
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Point of Contact
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Use email button above to contact.
Arjun Vishwanath |
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Description
| We know little about the extent to which racial minorities are symbolically represented by members of Congress. This stands in contrast to a wealth of research analyzing the extent to which minorities are substantively and descriptively represented. This article provides the most comprehensive analysis of symbolic representation to date. Using data on legislators' speech from 105,875 newsletters and 620,838 floor speeches, I find that white legislators of both parties are more likely to symbolically represent blacks, Hispanics, and Asians if those groups are more populous in their constituency. However, these effects only hold cross-sectionally; using a difference-in-differences setup from redistricting shocks, I find that there is little within-legislator variation in speech patterns as their constituencies change. Lastly, I show that, unlike on the symbolic dimension, legislators' substantive representation is not influenced by group size. I conclude that white legislators are symbolically responsive to their constituents' identities in their speech patterns. |
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Subject
| Social Sciences |
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Keyword
| congress; race; representation |
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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.
The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the Center for Open Science.
Open Materials Badge |
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Producer
| Arjun Vishwanath (Vanderbilt University) https://www.arjunvishwanath.com |
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Depositor
| Vishwanath, Arjun |
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Deposit Date
| 2023-12-01 |
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Data Source
| Ansolabehere, Stephen; Schaffner, Brian, 2013, "CCES Common Content, 2012", https://doi.org/10.7910/DVN/HQEVPK, Harvard Dataverse, V9, UNF:5:Eg5SQysFZaPiXc8tEbmmRA== [fileUNF];
Ansolabehere, Stephen; Schaffner, Brian F., 2017, "CCES Common Content, 2016", https://doi.org/10.7910/DVN/GDF6Z0, Harvard Dataverse, V4, UNF:6:WhtR8dNtMzReHC295hA4cg== [fileUNF];
Cormack, Lindsey (2017). “DCInbox – Capturing Every Constituent E-newsletter from 2009 Onwards”. The Legislative Scholar 2 (1): 2-36;
Gentzkow, Matthew, Jesse M. Shapiro, and Matt Taddy (2019). “Measuring Group Differences in High-Dimensional Choices: Method and Application to Congressional Speech”. Econometrica 87 (4): 1307-1340;
Schaffner, Brian; Ansolabehere, Stephen, 2015, "CCES Common Content, 2014", https://doi.org/10.7910/DVN/XFXJVY, Harvard Dataverse, V5, UNF:6:WvvlTX+E+iNraxwbaWNVdg== [fileUNF];
Schaffner, Brian; Stephen Ansolabehere; Sam Luks, 2019, "CCES Common Content, 2018", https://doi.org/10.7910/DVN/ZSBZ7K, Harvard Dataverse, V6, UNF:6:hFVU8vQ/SLTMUXPgmUw3JQ== [fileUNF] |
