Research Methods for Corporate, Securities, and Financial Law
Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
Daniel E. Ho, Kosuke Imai, Gary King, and Elizabeth A. Stuart
- Year
- 2007
- Venue
- Political Analysis
- Level
- Advanced
Summary
Presents matching as a preprocessing step that can reduce model dependence in observational causal inference. The article is useful for empirical legal studies where treated and comparison units differ before a legal or regulatory intervention.
Citation
Daniel E. Ho, Kosuke Imai, Gary King, and Elizabeth A. Stuart. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference." Political Analysis, 2007.
DOI: 10.1093/pan/mpl013
BibTeX
@article{Ho2007Matching,
title = {Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference},
author = {Daniel E. Ho, Kosuke Imai, Gary King, and Elizabeth A. Stuart},
year = {2007},
journal = {Political Analysis},
doi = {10.1093/pan/mpl013},
url = {https://doi.org/10.1093/pan/mpl013}
}