SHARP BOUNDS ON THE DISTRIBUTION OF TREATMENT EFFECTS AND THEIR STATISTICAL INFERENCE
By Yanqin Fan, Sang Soo Park. Econometric Theory, 2009
144 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a741708202fecf655442e6e55603db743b5ddfac
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- M. D. Cattaneo
- Andrew J. Patton
- Yanqin Fan
- Sergio Firpo
- Alberto Abadie
- Sang Soo Park
- T. Magnac
- M. Shum
Citations in the corpus
- Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures (2016, background): “…to that branch of the literature are the papers by Heckman (1992), Heckman, Smith and Clements (1997), Heckman and Smith (1998), Carneiro, Hansen and Heckman (2001, 2003), Cunha, Heckman and Navarro (2005), Aakvik, Heckman and Vytlacil (2005), Firpo and Ridder (2008), Fan and Park (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.”
- PARTIAL IDENTIFICATION OF THE DISTRIBUTION OF TREATMENT EFFECTS AND ITS CONFIDENCE SETS (2009, methodology): “In Section 2, we review sharp bounds on the distribution of treatment effects and related results for randomized experiments in Fan and Park (2007a).”
- Econometric Methods for Program Evaluation (2018, background): “While the distribution of treatment effects is not identified from randomized assignment of the treatment, knowledge of the marginal distributions of Y1 and Y0 can be used to bound functionals of the distribution of Y1 − Y0 (see, e.g., Firpo and Ridder, 2008; Fan and Park, 2010).”
- Copulas in Econometrics (2014, methodology): “Similar results for the distribution function of a sum of two random variables can be obtained using the methods of Williamson & Downs (1990) and Embrechts et al. (2003) (see Fan & Park 2010 and Fan et al. 2013 for details).”
- 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).”