Evidence map›Paper›PMID 38114512›Full record

ArticleScientific data2023

American local government elections database.

Justin de Benedictis-Kessner, Diana Da In Lee, Yamil R Velez, Christopher Warshaw

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
60.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 49 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Justin de Benedictis-Kessner *John F. Kennedy School of Government, Harvard University, Cambridge, USA.ORCID 0000-0003-2751-379X
Diana Da In Lee *Department of Political Science, Columbia University, New York, USA.ORCID 0000-0002-1590-6644
Yamil R Velez *Department of Political Science, Columbia University, New York, USA.
Christopher Warshaw *Department of Political Science, George Washington University, Washington, USA. warshaw@gwu.edu.
Columbia University · USGeorge Washington University · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of urban and local politics in the United States has long been hindered by a lack of centralized sources of election data. We introduce a new database of about 78,000 candidates in 57,000 electoral contests that encompasses races for seven distinct local political offices in most medium and large cities and counties in the U.S. over the last three decades. This is the most comprehensive publicly-available source of information on local elections across the country. We provide partisan and demographic information about candidates in these races as well as electoral outcomes. This new database will facilitate a myriad of new research on representation and elections in local governments.

Identifiers

PMID38114512
PMCPMC10730720
OpenAlexW4389950162

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.