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Publications by Year: Working Papers

Working Papers
Spirling, Arthur, and Brandon M. Stewart. Working Papers. “What Good is a Regression? Inference to the Best Explanation and the Practice of Political Science Research”.
Github (including draft)
Feder, Amir, et al. Working Papers. “Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond”.
Arxiv Version
Rodriguez, Pedro, Arthur Spirling, and Brandon M. Stewart. Working Papers. “Embedding Regression: Models for Context-Specific Description and Inference”.

Paper, non-technical explainer, software and data

Mathur, Arunesh, et al. Working Papers. “Manipulative tactics are the norm in political emails: Evidence from 100K emails from the 2020 U.S. election cycle”.
Paper: link
Data: https://electionemails2020.org/
Grimmer, Justin, Dean Knox, and Brandon M. Stewart. Working Papers. “Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding”.

arXiv
Code and Data on Code Ocean

Egami, Naoki, Christian J. Fong, Justin Grimmer, Margaret E. Roberts, and Brandon M. Stewart. Working Papers. “How to Make Causal Inferences Using Texts”. ais.pdf