most citedForecasting Algorithms for Causal Inference with Panel Data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2025

Breaking Down Bias: On The Limits of Generalizable Pruning Strategies

Sibo Ma, Alejandro Salinas, Peter Henderson +1

We employ model pruning to examine how LLMs conceptualize racial biases, and whether a generalizable mitigation strategy for such biases appears feasible. Our analysis yields sever…

econ.EM2022★ 1 cited

Forecasting Algorithms for Causal Inference with Panel Data

Jacob Goldin, Julian Nyarko, Justin Young

Conducting causal inference with panel data is a core challenge in social science research. We adapt a deep neural architecture for time series forecasting (the N-BEATS algorithm)…