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University of Illinois at Urbana-Champaign

Learning from the experts: Measuring the policy content of legislation using machine learning

dc:creator Dee, Ethan Adam

thesis:degree_name Ph.D.

dc:date2023

Abstract

dc:description

Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01

Degree

thesis:*

Name thesis:degree_name: Ph.D.
Level thesis:degree_level: Dissertation
Discipline thesis:degree_discipline: Economics
Grantor: University of Illinois at Urbana-Champaign
Year dc:date: 2023

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Dee, Ethan Adam
Contributors dc:contributor: Krasa, Stefan
Bernhardt, Mark D
Winters, Matthew S
Garlick, Alex

Subjects

dc:subject × 12

Rights

dc:rights

Statement dc:rights: Copyright 2023 Ethan Dee
Language dc:language: en, eng

Identifiers

dc:identifier.*

Handle dc:identifier: https://hdl.handle.net/2142/120545
OAI identifier oai:identifier: oai:www.ideals.illinois.edu:2142/120545

Chain of custody

source

Harvested from: University of Illinois - Urbana-Champaign
Base URL: www.ideals.illinois.edu/oai-pmh
Last updated: 2026-07-22
Source record: OAI-PMH GetRecord

related terms

citation

Dee, Ethan Adam. Learning from the experts: Measuring the policy content of legislation using machine learning. Dissertation thesis, University of Illinois at Urbana-Champaign, 2023. https://hdl.handle.net/2142/120545

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