3 datasets found
  1. d

    Replication Data for: Censor Morum? The 17th Amendment, Religious Diversity,...

    • dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Djupe, Paul; Neiheisel, Jacob (2023). Replication Data for: Censor Morum? The 17th Amendment, Religious Diversity, and Ideological Extremism in the Senate [Dataset]. http://doi.org/10.7910/DVN/W1LS7X
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Djupe, Paul; Neiheisel, Jacob
    Description

    These are the data and do files necessary to replicate the results of: Neiheisel, Jacob R. and Paul A. Djupe. Forthcoming. “Censor Morum? The 17th Amendment, Religious Diversity, and Ideological Extremism in the Senate.” Political Research Quarterly The dataset combines Census demographic data for states, DW-Nominate scores for Senators, religious census data, party balance in state legislatures, and presidential party support by state for the period 1890-1936.

  2. H

    Replication data for: Party Control and Perverse Effects in...

    • dataverse.harvard.edu
    Updated May 24, 2016
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    Joseph Simons; Daniel J. Mallinson (2016). Replication data for: Party Control and Perverse Effects in Majority-Minority Districting: Replication Challenges When Using DW-NOMINATE [Dataset]. http://doi.org/10.7910/DVN/28763
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 24, 2016
    Dataset provided by
    Harvard Dataverse
    Authors
    Joseph Simons; Daniel J. Mallinson
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Every ten years, states set about redrawing the lines of their Congressional districts. Scholars in political science have long been interested in the strategic behavior and representational outcomes of this process. While majority-minority districts are intended to provide a constraint on strategic party behavior in order to ensure substantive representation of minority interests, researchers have noted a perverse effect that results in potentially less-representative political outcomes. In 2003, Kenneth Shotts, David Lublin, and D. Stephen Voss debated the veracity of the perverse effects claim, but Shotts' critique was missing a key interaction between partisanship and the liberalizing effect of majority-minority districts. In the course of performing this necessary extension on Shotts' work, we found that our results have an unexpected, and important, methodological implication for Congress scholars. Specifically, we were unable to replicate Shotts (2003) precisely due to sublte changes in DW-NOMINATE estimates that result from periodic updating of the database. Furthermore, after substantially expanding the dataset, we continue to find the same null results and the evidence supporting the interaction is statistically ambiguous. Though these null results do not prove or disprove the perverse-effects hypothesis, they do undermine Shotts' evidence of a liberalizing effect of majority-minority districting. While we lack sufficient precision to estimate whether majority-minority districting has a positive, negative, or truly no effect on minority representation (and the conditional effect of party control), it is more concerning that small changes to DW-NOMINATE would prevent the replication of these past results, given the abundance of studies that use it to measure legislator ideology.

  3. H

    Replication Data for: Social Context and Economic Biases in Representation...

    • dataverse.harvard.edu
    Updated Jan 12, 2022
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    Riley Carney; Jaclyn Kaslovsky (2022). Replication Data for: Social Context and Economic Biases in Representation Revisited [Dataset]. http://doi.org/10.7910/DVN/A3XSYZ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 12, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Riley Carney; Jaclyn Kaslovsky
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    In this paper, we explore the effects of district level social and economic variables on representation biases in Congressional representation. We provide simulated data that supports the view that lower-income constituents are better represented in districts that have high levels of electoral competition and low median incomes. We then show that the relationship holds when we recreate the model using Americans for Democratic Action (ADA) scores instead of DW-NOMINATE scores as a measure of ideological distance.

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Share
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Click to copy link
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Close
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Djupe, Paul; Neiheisel, Jacob (2023). Replication Data for: Censor Morum? The 17th Amendment, Religious Diversity, and Ideological Extremism in the Senate [Dataset]. http://doi.org/10.7910/DVN/W1LS7X

Replication Data for: Censor Morum? The 17th Amendment, Religious Diversity, and Ideological Extremism in the Senate

Related Article
Explore at:
Dataset updated
Nov 21, 2023
Dataset provided by
Harvard Dataverse
Authors
Djupe, Paul; Neiheisel, Jacob
Description

These are the data and do files necessary to replicate the results of: Neiheisel, Jacob R. and Paul A. Djupe. Forthcoming. “Censor Morum? The 17th Amendment, Religious Diversity, and Ideological Extremism in the Senate.” Political Research Quarterly The dataset combines Census demographic data for states, DW-Nominate scores for Senators, religious census data, party balance in state legislatures, and presidential party support by state for the period 1890-1936.

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