Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models
Xiaohong Chen () and
Demian Pouzo
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Demian Pouzo: Dept. of Economics, University of California, Berkeley
No 1897R, Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University
Abstract:
This paper considers inference on functionals of semi/nonparametric conditional moment restrictions with possibly nonsmooth generalized residuals, which include all of the (nonlinear) nonparametric instrumental variables (IV) as special cases. For these models it is often difficult to verify whether a functional is regular (i.e., root-n estimable) or irregular (i.e., slower than root-n estimable). We provide computationally simple, unified inference procedures that are asymptotically valid regardless of whether a functional is regular or not. We establish the following new useful results: (1) the asymptotic normality of a plug-in penalized sieve minimum distance (PSMD) estimator of a (possibly irregular) functional; (2) the consistency of simple sieve variance estimators of the plug-in PSMD estimator, and hence the asymptotic chi-square distribution of the sieve Wald statistic; (3) the asymptotic chi-square distribution of an optimally weighted sieve quasi likelihood ratio (QLR) test under the null hypothesis; (4) the asymptotic tight distribution of a non-optimally weighted sieve QLR statistic under the null; (5) the consistency of generalized residual bootstrap sieve Wald and QLR tests; (6) local power properties of sieve Wald and QLR tests and of their bootstrap versions; (7) Wilks phenomenon of the sieve QLR test of hypothesis with increasing dimension. Simulation studies and an empirical illustration of a nonparametric quantile IV regression are presented.
Keywords: Nonlinear nonparametric instrumental variables; Penalized sieve minimum distance; Irregular functional; Sieve variance estimators; Sieve Wald; Sieve quasi likelihood ratio; Generalized residual bootstrap; Local power; Wilks phenomenon (search for similar items in EconPapers)
Pages: 62 pages
Date: 2013-05, Revised 2014-04
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Citations: View citations in EconPapers (5)
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Related works:
Journal Article: Sieve Wald and QLR Inferences on Semi/Nonparametric Conditional Moment Models (2015) 
Working Paper: Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models (2015) 
Working Paper: Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models (2014) 
Working Paper: Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models (2014) 
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