Data for: The Alternative Vote: Do Changes in Single-member Voting Systems Affect Descriptive Representation of Women and Minorities?

Published: 29 May 2018 | Version 1 | DOI: 10.17632/3dmj76jvz2.1

Description of this data

Data from 434 local electoral contests in 11 cities in California (Alameda, Anaheim, Berkeley, Richmond, Richmond, San Francisco, San Jose, San Leandro, Santa Ana, Santa Clara, and Stockton). Each observation in the dataset is a seat that was up for election between 1995 and 2014 in the selected cities. The dataset indicates whether the city was a treatment city -- ie. whether it adopted the Alternative Vote (aka instant runoff or ranked choice voting) and whether the contest occurred after AV was adopted (the time variable). District- and city-level electoral structure, socio-economic and demographic variables are included.

Experiment data files

This data is associated with the following publication:

The alternative vote: Do changes in single-member voting systems affect descriptive representation of women and minorities?

Published in: Electoral Studies

Latest version

  • Version 1

    2018-05-29

    Published: 2018-05-29

    DOI: 10.17632/3dmj76jvz2.1

    Cite this dataset

    John, Sarah; Smith, Haley; Zack, Elizabeth (2018), “Data for: The Alternative Vote: Do Changes in Single-member Voting Systems Affect Descriptive Representation of Women and Minorities?”, Mendeley Data, v1 http://dx.doi.org/10.17632/3dmj76jvz2.1

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Political Science

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The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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