The historical origins of republican economic ideology : a computational text analysis approach
Abstract/Contents
- Abstract
- This dissertation seeks to understand the historical origins of modern Republican economic ideology. I contribute to this topic by using computational text analysis methods to quantitatively characterize ideological language from the past and track its persistence into modern political speech. The first chapter tracks the persistence of segregationist language from the mid-20th Century in economic speeches today. The second paper focuses on the persistence of conservative and liberal language from the New Deal era. Finally, the third paper focuses on the specific issue of immigration and compares attitudes of politicians in the past vs. the present. I contribute to the economic history literature by more comprehensively quantitatively linking language from the past and present using innovative natural language processing methods and interpreting these findings within the broader historical context.
Description
Type of resource | text |
---|---|
Form | electronic resource; remote; computer; online resource |
Extent | 1 online resource. |
Place | California |
Place | [Stanford, California] |
Publisher | [Stanford University] |
Copyright date | 2022; ©2022 |
Publication date | 2022; 2022 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Becker, John Christopher |
---|---|
Degree supervisor | Abramitzky, Ran |
Thesis advisor | Abramitzky, Ran |
Thesis advisor | Hall, Andy |
Thesis advisor | Wright, Gavin, 1943- |
Degree committee member | Hall, Andy |
Degree committee member | Wright, Gavin, 1943- |
Associated with | Stanford University, Department of Economics |
Subjects
Genre | Theses |
---|---|
Genre | Text |
Bibliographic information
Statement of responsibility | John Christopher Becker. |
---|---|
Note | Submitted to the Department of Economics. |
Thesis | Thesis Ph.D. Stanford University 2022. |
Location | https://purl.stanford.edu/pf865vz2254 |
Access conditions
- Copyright
- © 2022 by John Christopher Becker
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...