3 citations · 3 across the 2 of their papers we have counts for
2 papers
econ.EM2026
When Predictions Become Regressors: A Split-Sample Correction for Biases in Downstream Inference
Nathan Canen, Ted Enamorado
Prediction-based methods, including Large Language Models (LLMs) and other machine learning techniques, are often used to construct measures of political phenomena that are difficu…
cs.CL2022★ 3 cited
Improving Probabilistic Models in Text Classification via Active Learning
Mitchell Bosley, Saki Kuzushima, Ted Enamorado +1
Social scientists often classify text documents to use the resulting labels as an outcome or a predictor in empirical research. Automated text classification has become a standard…