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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…
econ.EM2026
Empirical Challenges with Peers-of-Peers Instruments in the Linear-In-Means Model
Nathan Canen, Shantanu Chadha
In the linear-in-means model, endogeneity arises naturally due to the reflection problem. A common solution is to use Instrumental Variables (IVs) based on higher-order network lin…