More on monotone instrumental variables
By Charles F. Manski, John V. Pepper. 2009
115 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Marketing
View Paper: https://www.semanticscholar.org/paper/f46c2c7bb6fdef8776dd81d8b11bda5bb00b865d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Victor Chernozhukov
- S. Lee
- Joel L. Horowitz
- A. Rosen
- Matthew A. Masten
- Alexandre Poirier
- Joachim Freyberger
- Eric Maurin
In Marketing
- A. Rosen
- Victor Chernozhukov
- Alexandre Poirier
- S. Lee
- Joachim Freyberger
- Matthew A. Masten
- T. Magnac
- D. Chetverikov
Citations in the corpus
- Identification and shape restrictions in nonparametric instrumental variables estimation (2012, background): “Interval identification of g in (1a) has been investigated previously by Chesher (2004) and Manski and Pepper (2000, 2009).”
- Set Identified Linear Models (2011, background): “3 An additional general point is in order about small sample biases arising when minimizing an estimated function as discussed by Manski and Pepper (2009) for instance. A correction approach was recently proposed by Chernozhukov, Lee and Rosen (2009) where they use confidence interval estimates.”
- Intersection bounds: estimation and inference (2009, methodology): “he suprema and infima of estimated bounding functions, they have substantial finite sample bias, and estimated bounds tend to be much tighter than the population bounds. This has been noted by [46] and [47], and some heuristic bias adjustments have been proposed by [33] and [40]. We solve the problem ”
- Identification of Treatment Effects Under Conditional Partial Independence (2017, methodology): “2See Masten and Poirier (2016) for several other applications of this result. and Altonji et al. (2005, 2008).”