PARTIAL IDENTIFICATION OF THE DISTRIBUTION OF TREATMENT EFFECTS AND ITS CONFIDENCE SETS

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Set Identified Linear Models (2011, background): “Set identification can also be generated by discrete exogeneous variation such as in Chesher (2005) or by structurally missing information such as in the treatment effect literature (see Fan and Park, 2010 or Fan and Wu, 2010 for recent analyses).”
Inference on breakdown frontiers (2017, background): “Fan and Park (2009) provided formal identification results for the joint cdf of potential outcomes and the distribution of treatment effects under the known Kendall’s τ assumption.”
Moment Inequalities and Their Application (2015, background): “…2009, 2010; Andrews and Jia 2008; Andrews and Shi 2010; Andrews and Soares 2010; Beresteanu and Molinari 2008; Bugni 2010; Canay 2010; Chernozhukov, Hong, and Tamer 2007; Fan and Park 2009; Guggenberger, Hahn, Kim 2008; Imbens and Manski 2004; Menzel 2008; Romano and Shaikh 2008, 2010; Stoye 2010).”
IDENTIFYING TREATMENT EFFECTS UNDER DATA COMBINATION (2014, background): “They include Fan and Park (2009, 2010, 2012), Firpo and Ridder (2009), Heckman, Smith, and Clements (1997), and Fan and Zhu (2009) who adopt the selection-on-observables assumption; and Fan and Wu (2010) which considers a class of latent threshold-crossing models.”
Copulas in Econometrics (2014, background): “Fan & Park (2009, 2010, 2012) provide a systematic study of partial identification and inference for these distributional treatment effect parameters using Lemma 2.”