State Legislative Policy Estimates: 2009-2022 (Individual Bills Dataset)

This dataset includes a machine learning model's estimation of how each bill fits into 28 policy categories, for each state legislative bill since 2009 (approximately 38.1 million estimates). The suggested cutoff for the model's confidence is 0.50 (used in the associated master dataset.)

Publication Details

Journal
OSF Preprints (OSF Preprints)
Published
2024-10-21
DOI
https://doi.org/10.17605/osf.io/zafc6
Citations
1
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
1.89
Controls
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article

State Legislative Policy Estimates: 2009-2022 (Individual Bills Dataset)

1 citations
OSF Preprints (OSF Preprints)
Computational and Text Analysis Methods
1.89
article

State Legislative Policy Estimates: 2009-2022 (Individual Bills Dataset)

article en
1 citations

Abstract

This dataset includes a machine learning model's estimation of how each bill fits into 28 policy categories, for each state legislative bill since 2009 (approximately 38.1 million estimates). The suggested cutoff for the model's confidence is 0.50 (used in the associated master dataset.)

OSF Preprints (OSF Preprints)
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Computational and Text Analysis Methods
1.89
DOIOpen Access PDFOpenAlex
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State Legislative Policy Estimates: 2009-2022 (Individual Bills Dataset) · OSF Preprints (OSF Preprints) (2024) | TGRS Research Map | TGRS