State Legislative Policy Estimates: 2009-2022 (Individual Bills Dataset)
Year: 2024
Type: preprint
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.)
Source: OSF Preprints (OSF Preprints)
Authors: Garlick, Alex, Dee, Ethan
Language: English
Subfield: General Social Sciences
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6962808525