Nonparametric two‐step regression estimation when regressors and error are dependent
By Jons Pinkse. 2000
57 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/bdf25f86496e99fc1812f8ede2d2c700fd49e01e
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
- Liangjun Su
- Aman Ullah
- Joel L. Horowitz
- Xiaohong Chen
- Yiguo Sun
- Andrew J. Patton
- Zhenlin Yang
- Whitney K. Newey
In Finance
- Liangjun Su
- Joel L. Horowitz
- Xiaohong Chen
- Aman Ullah
- Andrew J. Patton
- Andrés Santos
- Timothy M. Christensen
- M. D. Cattaneo
In Statistics and Probability
- Liangjun Su
- Joel L. Horowitz
- Aman Ullah
- Xiaohong Chen
- Demian Pouzo
- Victor Chernozhukov
- Andrés Santos
- D. Chetverikov
Citations in the corpus
- Local polynomial estimation of nonparametric simultaneous equations models (2008, methodology): “rate much faster than that of Newey and Powell (2003) and that of Pinkse (2000) for DGPs 2–4.”
- Tighter bounds in triangular systems (2011, unknown): “The object of estimation in Newey, Powell, and Vella (1999) and Pinkse (2000) is g ( x∗, E(u|v = v∗) ) , which is similar to ψ∗, but in those papers the errors are assumed additively separable in both equations in (1).”
- Applied Nonparametric Instrumental Variables Estimation (2011, methodology): “Further discussion of the control function approach is available in Pinkse (2000) and Blundell and Powell (2003).”
- Chapter 76 Large Sample Sieve Estimation of Semi-Nonparametric Models (2007, background): “Newey et al. (1999), and Pinkse (2000) considered series estimation of a triangular system of simultaneous equations.”