Recidivism Prediction, Peer Effect Estimation, and Prediction-Powered Inference with LLM Text Measures
基于大语言模型文本测量的再犯预测、同伴效应估计与预测辅助推断
We provide a new framework for estimating peer effects when outcomes are multivariate behavioral measures derived from written text using an LLM and the network formation is endogenous. We obtain LLM embeddings and zero shot classification of more than 200,000 written exchanges among residents of low-security correctional facilities. We find that LLM embeddings improve out-of-sample recidivism prediction by up to 30% over pre-entry covariates alone using LASSO and LoRA…