Journal ArticleDOI
Comment on basic structure of the asymptotic theory in dynamic nonlinear econometric models. II. Asymptotic normality
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This article is published in Econometric Reviews.The article was published on 1991-01-01. It has received 0 citations till now. The article focuses on the topics: Asymptotic analysis & Local asymptotic normality.read more
References
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Journal ArticleDOI
Original Contribution: On learning the derivatives of an unknown mapping with multilayer feedforward networks
A. Ronald Gallant,Halbert White +1 more
TL;DR: It is shown that a net can be trained so that the map and its derivatives are learned, and least squares and similar estimates are strongly consistent in Sobolev norm provided the number of hidden units and the size of the training set increase together.
Journal ArticleDOI
Estimating the Lyapunov Exponent of a Chaotic System with Nonparametric Regression
TL;DR: In this paper, the dominant Lyapunov exponent λ 1 is estimated from time series data generated by a nonlinear autoregressive system with additive noise, which is the defining feature of chaotic dynamics.
Book ChapterDOI
Advances in Econometrics: Identification and consistency in semi-nonparametric regression
TL;DR: In this paper, the authors propose a semi-nonparametric estimation method to establish the consistency of nonlinear econometric estimators in the sense that the analysis abstracts easily and the abstraction covers the standard methods of estimation in econometrics: instrumental variables, two and three-stage least squares, full information maximum likelihood, seemingly unrelated regression, M -estimators, scale-invariant M-estimator, generalized method of moments, and so on.