Replication files for "Voting Rights and Media Sentiment: Evidence from Early Suffrage States"

Principal Investigator(s):  View help for Principal Investigator(s) Martin Saavedra, Rutgers University

Version:  View help for Version V1

Name File Type Size Last Modified
func_aggregating_txtfiles.py text/x-python 3.3 KB 11/11/2024 09:22:AM
func_cleaning_sentiment_data.py text/x-python 2.8 KB 05/11/2023 04:51:PM
func_cleaning_stemming_sentiment_data.py text/x-python 3.8 KB 05/11/2023 04:30:AM
func_count_and_clean.py text/x-python 2 KB 05/12/2023 11:07:AM
func_gram_counts.py text/x-python 5.3 KB 05/09/2023 05:57:AM
sentiment_analysis.py text/x-python 834 bytes 05/02/2023 10:44:AM
sentiment_word_cloud.py text/x-python 1.8 KB 11/10/2024 04:27:AM

Project Description

Summary:  View help for Summary These are the replication for Replication files for ``Voting Rights and Media Sentiment: Evidence from Early Suffrage States''. The replication files take a collection of text from pro/anti women's suffrage text, and then assigns a sentiment to newspaper pages from the Chronicling American newspaper archive from the Library of Congress. It also divides the newspaper pages into topics. Then I use a difference-in-difference analysis to analyze how early suffrage laws changed sentiment and topics. See the manuscript for more details.


Scope of Project

Geographic Coverage:  View help for Geographic Coverage United States


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Published Versions

V1 [2024-11-11]

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