Instrumental regression in partially linear models

By Jean-Pierre Florens, Jan Johannes, Sébastien Van Bellegem. 2012

75 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/2ec95a6fdccb66cb6d9443aa270b0b1332118f6d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Jan Johannes
2. Sébastien Van Bellegem
3. Xiaohong Chen
4. Timothy M. Christensen
5. Jean-Pierre Florens

In Statistics and Probability

1. Timothy M. Christensen
2. Jean-Pierre Florens
3. Jan Johannes
4. Xiaohong Chen
5. Sébastien Van Bellegem
6. M. Carrasco
7. Arthur Lewbel
8. Demian Pouzo

Citations in the corpus

• Optimal sup-norm rates and uniform inference on nonlinear functionals of nonparametric IV regression (2015, background): “Previously, Hausman and Newey (1995) and Newey (1997) provided su cient conditions for pointwise asymptotic normality for plug-in nonparametric LS estimators of exact CS and DL functionals and of approximate CS functionals respectively, when prices and incomes are exogenous. Vanhems (2010) studied c”
• IDENTIFICATION AND ESTIMATION BY PENALIZATION IN NONPARAMETRIC INSTRUMENTAL REGRESSION (2010, background): “called “source condition” and already motivated in Florens, Johannes, and Van Bellegem (2005) and Johannes, Van Bellegem, and Vanhems (2007).”