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Participation and Representation in Local Government Speech

Olivia Martin, Amar Venugopal

arXiv 23 Apr 2026 · Econometrics

arXiv:2604.21202 · PDF · DOI · OpenAlex · Extracted main text

Abstract

Local government meetings are the most common formal channel through which residents speak directly with elected officials, contest policies, and shape local agendas. However, data constraints typically limit the empirical study of these meetings to agendas, single cities, or short time horizons. We collect and transcribe a massive new dataset of city council meetings from 115 California cities over the last decade, using advanced transcription and diarization techniques to analyze the speech content of the meetings themselves. We document two sets of descriptive findings: First, city council meetings are frequent, long, and vary modestly across towns and time in topical content. Second, public participants are substantially older, whiter, more male, more liberal, and more likely to own homes than the registered voter population, and public participation surges when topics related to land use and zoning are included in meeting agendas. Given this skew, we examine the main policy lever municipalities have to shift participation patterns: meeting access costs. Exploiting pandemic-era variation in remote access, we show that eliminating remote options reduces the number of speakers, but does not clearly change the composition of speakers. Collectively, these results provide the most comprehensive empirical portrait to date of who participates in local democracy, what draws them in, and how institutional design choices shape both the volume and composition of public input.

Citation extraction

43
references
62
in-text mentions
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distinct cited
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appendix boundary found by appendix_command · 64% of the source is main text. Read the extracted text to check this.

Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Einstein, Katherine Levine and Palmer, Maxwell and Glick, David M (2019) Who Participates in Local Government? Evidence from Meeting Minutes1.00065100%
2Barari, Soubhik and Simko, Tyler (2023) LocalView, a database of public meetings for the study of local politics and policy-making in the United States0.84333100%
3Fischel, William A (2009) The Homevoter Hypothesis: How Home Values Influence Local Government Taxation, School Finance, and Land-Use Policies0.73732100%
4Modarressi, Iman and Spiess, Jann and Venugopal, Amar (2025) Causal Inference on Outcomes Learned from Text self0.64422100%
5Oates, Wallace E (1999) An Essay on Fiscal Federalism0.64422100%
6Riker, William H. and Ordeshook, Peter C (1968) A Theory of the Calculus of Voting0.64422100%
7Sahn, Alexander (2025) Public comment and public policy0.64422100%
8Callaway, Brantly and Sant’Anna, Pedro H. C (2021) Difference-in-Differences with multiple time periods0.58531100%
9CoreLogic NZ Limited and Cotality (2024) Cotality Smart Data Platform: Historical Property0.51121100%
10Einstein, Katherine Levine and Glick, David and Godinez Puig, Luisa… (2023) Still Muted: The Limited Participatory Democracy of Zoom Public Meetings0.51121100%

Showing the top 10 of 43 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Causal Effect Estimation with Latent Textual Treatments0.64422