Efficient estimation of semiparametric conditional moment models with possibly nonsmooth residuals
Efficient estimation of semiparametric conditional moment models with possibly nonsmooth residuals
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DOI:
10.1016/j.jeconom.2009.02.002
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发表时间:
2009-09-01
影响因子:
6.3
通讯作者:
Pouzo, Demian
中科院分区:
文献类型:
--
作者:
Chen, Xiaohong;Pouzo, Demian
This paper considers semiparametric efficient estimation of conditional moment models with possibly nonsmooth residuals in unknown parametric components (theta) and unknown functions (h) of endogenous variables. We show that: (1) the penalized sieve minimum distance (PSMD) estimator ((theta) over cap, (h) over cap) can simultaneously achieve root-n asymptotic normality of (theta) over cap and nonparametric optimal convergence rate of (h) over cap, allowing for noncompact function parameter spaces: (2) a simple weighted bootstrap procedure consistently estimates the limiting distribution of the PSMD (theta) over cap; (3) the semiparametric efficiency bound formula of [Ai, C., Chen, X., 2003. Efficient estimation of models with conditional moment restrictions containing unknown functions. Econometrica, 71, 1795-1843] remains valid for conditional models with nonsmooth residuals, and the optimally weighted PSMD estimator achieves the bound; (4) the centered, profiled optimally weighted PSMD criterion is asymptotically chi-square distributed. We illustrate our theories using a partially linear quantile instrumental variables (IV) regression, a Monte Carlo study, and an empirical estimation of the shape-invariant quantile IV Engel curves. (c) 2009 Elsevier B.V. All rights reserved.