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Estimation of Nonparametric Conditional Moment Models with Possibly Nonsmooth Moments Author info | Abstract | Publisher info | Download info | Related research | Statistics Xiaohong Chen () (Cowles Foundation, Yale University )
Demian Pouzo (Dept. of Economics, New York University)
This paper studies nonparametric estimation of conditional moment models in which the residual functions could be nonsmooth with respect to the unknown functions of endogenous variables. It is a problem of nonparametric nonlinear instrumental variables (IV) estimation, and a difficult nonlinear ill-posed inverse problem with an unknown operator. We first propose a penalized sieve minimum distance (SMD) estimator of the unknown functions that are identified via the conditional moment models. We then establish its consistency and convergence rate (in strong metric), allowing for possibly non-compact function parameter spaces, possibly non-compact finite or infinite dimensional sieves with flexible lower semicompact or convex penalty, or finite dimensional linear sieves without penalty. Under relatively low-level sufficient conditions, and for both mildly and severely ill-posed problems, we show that the convergence rates for the nonlinear ill-posed inverse problems coincide with the known minimax optimal rates for the nonparametric mean IV regression. We illustrate the theory by two important applications: root-n asymptotic normality of the plug-in penalized SMD estimator of a weighted average derivative of a nonparametric nonlinear IV regression, and the convergence rate of a nonparametric additive quantile IV regression. We also present a simulation study and an empirical estimation of a system of nonparametric quantile IV Engel curves.
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Paper provided by Cowles Foundation, Yale University in its series Cowles Foundation Discussion Papers with number
1650.
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Length: 50 pages
Date of creation: Apr 2008Date of revision:
Oct 2008Handle: RePEc:cwl:cwldpp:1650Contact details of provider: Postal: Yale University, Box 208281, New Haven, CT 06520-8281 USA Phone: (203) 432-3702 Fax: (203) 432-6167 Web page: http://cowles.econ.yale.edu/ More information through EDIRC
Order Information: Postal: Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
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Keywords: Nonsmooth residuals ; Nonlinear ill-posed inverse ; Penalized sieve minimum distance ; Modulus of continuity ; Average derivative of a nonparametric nonlinear IV regression ; Non-parametric additive quantile IV regression ; Find related papers by JEL classification: C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Andrew Chesher, 2003.
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Xiaohong Chen & Demian Pouzo, 2008.
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Chunrong Ai & Xiaohong Chen, 2003.
"Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions ,"
Econometrica ,
Econometric Society, vol. 71(6), pages 1795-1843, November.
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