Learning from each other: causal inference and American political development
Within political science, a movement focused on increasing the credibility of causal inferences (CIs) has gained considerable traction in recent years. While CI has been incorporated extensively into most disciplinary subfields, it has not been applied often in the study of American political develo...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Springer Science and Business Media LLC
2020
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| Online Access: | https://hdl.handle.net/1721.1/128274 |
| _version_ | 1826194171345502208 |
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| author | Jenkins, Jeffery A. McCarty, Nolan Stewart III, Charles H |
| author2 | Massachusetts Institute of Technology. Department of Political Science |
| author_facet | Massachusetts Institute of Technology. Department of Political Science Jenkins, Jeffery A. McCarty, Nolan Stewart III, Charles H |
| author_sort | Jenkins, Jeffery A. |
| collection | MIT |
| description | Within political science, a movement focused on increasing the credibility of causal inferences (CIs) has gained considerable traction in recent years. While CI has been incorporated extensively into most disciplinary subfields, it has not been applied often in the study of American political development (APD). This special issue considers ways in which scholars of CI and APD can engage in mutually beneficial ways to produce better overall research. As the contributions to the symposium demonstrate, clear scientific gains are to be had from greater CI–APD engagement. |
| first_indexed | 2024-09-23T09:52:02Z |
| format | Article |
| id | mit-1721.1/128274 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T09:52:02Z |
| publishDate | 2020 |
| publisher | Springer Science and Business Media LLC |
| record_format | dspace |
| spelling | mit-1721.1/1282742022-09-26T14:11:31Z Learning from each other: causal inference and American political development Jenkins, Jeffery A. McCarty, Nolan Stewart III, Charles H Massachusetts Institute of Technology. Department of Political Science Within political science, a movement focused on increasing the credibility of causal inferences (CIs) has gained considerable traction in recent years. While CI has been incorporated extensively into most disciplinary subfields, it has not been applied often in the study of American political development (APD). This special issue considers ways in which scholars of CI and APD can engage in mutually beneficial ways to produce better overall research. As the contributions to the symposium demonstrate, clear scientific gains are to be had from greater CI–APD engagement. 2020-10-30T18:41:36Z 2020-10-30T18:41:36Z 2019-11 2019-09 2020-10-21T03:26:53Z Article http://purl.org/eprint/type/JournalArticle 0048-5829 1573-7101 https://hdl.handle.net/1721.1/128274 Jenkins, Jeffery A. et al. "Learning from each other: causal inference and American political development." Public Choice 185, 3-4 (November 2019): 245–251 © 2019 Springer Science Business Media, LLC, part of Springer Nature en http://dx.doi.org/10.1007/s11127-019-00728-x Public Choice Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ Springer Science+Business Media, LLC, part of Springer Nature application/pdf Springer Science and Business Media LLC Springer US |
| spellingShingle | Jenkins, Jeffery A. McCarty, Nolan Stewart III, Charles H Learning from each other: causal inference and American political development |
| title | Learning from each other: causal inference and American political development |
| title_full | Learning from each other: causal inference and American political development |
| title_fullStr | Learning from each other: causal inference and American political development |
| title_full_unstemmed | Learning from each other: causal inference and American political development |
| title_short | Learning from each other: causal inference and American political development |
| title_sort | learning from each other causal inference and american political development |
| url | https://hdl.handle.net/1721.1/128274 |
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