Thanks very much to my friend and former Stanford colleague Kris Kasianovitz (as well as the awesome librarians at UC Berkeley!) for pointing to this Nature article “American local government elections database” (and it’s Open Access to boot!!). Kudos to de Benedictis-Kessner, Lee, Velez, et al for the yeoman’s work of collecting this massive amount of data AND for making it freely available to others! This is an excellent example of what researchers should do when they collect data for their research — publish their article AND make their dataset publicly available in an open data repository like Open Science Framework (OSF) or ICPSR (the grandpappy of all social science data repositories!). And it’s also a critical dataset for researchers in an area of government data (state and local) that is frequently difficult to find and even less frequently collated across multiple states and municipalities. One of my most frequent data requests is for elections but most researchers want to do comparisons across jurisdictions, states, years etc and there just is no “one dataset to rule them all.”
As KrisK notes in her post to the GOVDOC-L Listserv, PLEASE encourage faculty, students, researchers, journalists etc who put in the time and energy to collect local level data to make their datasets available through institutional or other data repositories (e.g. OpenICPSR, OSF, etc.). Collecting important data, especially at the multi-state and multi-municipality level, is a Many-hands-make-light-work kind of activity and is so impactful for other researchers, students, journalists, and the public who are exploring and trying to understand their worlds.
“One of the most persistent challenges in the study of urban and local politics in the United States is the lack of information about local elections, candidates, and elected officials. As a result, studies on local elections tend to focus on a single time period, geographic unit, or office, rather than holistically examining variation across time, geography, and offices.
In this paper, we describe a new database of election returns from about 78,000 unique candidates in about 57,000 contests in 1,747 cities, counties, and school districts from 1989–2021. Our database is the most comprehensive publicly-available source of information on local elections across the entire country. It includes information about elections for mayors, city councils, county executives, county legislatures, sheriffs, prosecutors, and school boards. It also includes a host of supplemental data, including estimates of candidate partisanship, gender, race/ethnicity, and incumbency status. For many elections, it also includes information on the political characteristics of constituencies, such as their ideology and presidential voting patterns.
This new database will enable scholars to study a wide variety of research questions. It enables examination of whether politicians represent the demographic, partisan, and ideological characteristics of their constituents. It also enables expanded work on the factors that affect local elections. Moreover, it facilitates study of the incumbency advantage across election types, institutional contexts, and candidate
characteristics. Finally, this database enables scholars to expand the study of how elections shape a host of political outcomes such as policy, political communication, interest group activity and intergovernmental lobbying.”
Citations:
- de Benedictis-Kessner, J., Lee, D.D.I., Velez, Y.R. et al. American local government elections database. Sci Data 10, 912 (2023). https://doi.org/10.1038/s41597-023-02792-x
- American Local Government Elections Database
Contributors: Justin de Benedictis-Kessner, Diana Da In Lee, Yamil Velez, Christopher Warshaw
Date created: 2023-04-11 02:17 PM
Identifier: DOI 10.17605/OSF.IO/MV5E6
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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