Identification of Nonseparable Models Using Instruments With Small Support
By Alexander Torgovitsky. 2015
121 citations recorded by the source corpus.
Subfields: Education, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/6c2aa1796374dddf53c50ade989b033078914394
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Citations in the corpus
- Random Coefficients on Endogenous Variables in Simultaneous Equations Models (2014, background): “A large recent literature has examined nonseparable error models like Y1 = m(Y2, U1), where m is an unknown function (e.g. Matzkin 2003, Chernozhukov and Hansen 2005, and Torgovitsky 2015).”
- Using Instrumental Variables for Inference About Policy Relevant Treatment Effects (2018, unknown): “Heterogeneous effects IV models with continuous treatments have been considered by Angrist, Graddy, and Imbens (2000), Chesher (2003), Florens, Heckman, Meghir, and Vytlacil (2008), Imbens and Newey (2009), Torgovitsky (2015), Masten (2015), and Masten and Torgovitsky (2016), among others.”
- Quantile Selection Models with an Application to Understanding Changes in Wage Inequality (2017, unknown): “[63] Torgovitsky, A.”