NONPARAMETRIC IDENTIFICATION USING INSTRUMENTAL VARIABLES: SUFFICIENT CONDITIONS FOR COMPLETENESS

By Yingyao Hu, J. Shiu. Econometric Theory, 2011

63 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/1c70ee8c948c1c866697524bbf4a6c57eaa9c51c

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In Statistics and Probability

1. Yixin Wang
2. David M. Blei
3. Rajesh Ranganath
4. Qiang Liu
5. Stephan Mandt
6. Michalis K. Titsias
7. Dustin Tran
8. Adler J. Perotte

Citations in the corpus

• A confounding bridge approach for double negative control inference on causal effects (2018, unknown): “For a binary confounder, completeness holds as long as W (cid:3)⊥⊥ Z | X = x for all x ; completeness also holds for many widely-used distributions such as exponential families (Newey & Powell, 2003) and location-scale families (Hu & Shiu, 2018).”
• Multiple Causes: A Causal Graphical View (2019, background): “Examples include exponential families (Newey & Powell, 2003), location-scale families (Hu & Shiu, 2018), and nonparametric regression models (Darolles et al., 2011).”