State Legislative Policy Estimates

We use a machine learning model based on the "transformer" architecture and contextual word-piece embeddings to code the universe of bills introduced in the states since 2009 (about 1.36 million bills) into 28 policy areas. The output is based on the Gray and Lowery dictionary of state policy topics. Please cite: Dee, Ethan and Garlick, Alex (forthcoming). "Policy agendas of the American state legislatures" Nature: Scientific Data. X(XX) p. xx-xx.

Publication Details

Journal
Open Science Framework
Published
2024-10-21
DOI
https://doi.org/10.17605/osf.io/xv4w7
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

State Legislative Policy Estimates

Open Science Framework
Computational and Text Analysis Methods
article

State Legislative Policy Estimates

article en

Abstract

We use a machine learning model based on the "transformer" architecture and contextual word-piece embeddings to code the universe of bills introduced in the states since 2009 (about 1.36 million bills) into 28 policy areas. The output is based on the Gray and Lowery dictionary of state policy topics. Please cite: Dee, Ethan and Garlick, Alex (forthcoming). "Policy agendas of the American state legislatures" Nature: Scientific Data. X(XX) p. xx-xx.

Open Science Framework
Peace, Justice and strong institutions
Openalex Percentile: Top 43%
Computational and Text Analysis Methods
DOIOpen Access PDFOpenAlex
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State Legislative Policy Estimates · Open Science Framework (2024) | TGRS Research Map | TGRS