June 11, 2024, 4:44 a.m. | Retsef Levi, Elisabeth Paulson, Georgia Perakis, Emily Zhang

stat.ML updates on arXiv.org arxiv.org

arXiv:2406.05633v1 Announce Type: new
Abstract: We address a core problem in causal inference: estimating heterogeneous treatment effects using panel data with general treatment patterns. Many existing methods either do not utilize the potential underlying structure in panel data or have limitations in the allowable treatment patterns. In this work, we propose and evaluate a new method that first partitions observations into disjoint clusters with similar treatment effects using a regression tree, and then leverages the (assumed) low-rank structure of the …

abstract arxiv causal causal inference core cs.lg data econ.em effects general inference limitations panel patterns potential problem stat.ml treatment type work

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