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• W2003346594 abstract "Abstract This paper presents a procedure for analyzing a partially specified nonlinear regression model in which the nuisance parameter is an unrestricted function of a subset of regressors. The procedure does not require parameteric modeling of the nuisance parameter but assumes that the model can be transformed into a partially specified linear equation by inverting some nonlinear functions. The model parameters are estimated by applying Robinson's (1988a) procedure and the estimator is show to be √N-consistent and asymptotically normal. One attraction of the estimator is that is to computationally simple, requiring no more than least squares regressions. A simulation study indicates that the estimator has practical values." @default.
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• W2003346594 date "1997-01-01" @default.
• W2003346594 modified "2023-09-27" @default.
• W2003346594 title "Estimation of some partially specified nonlinear models" @default.
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• W2003346594 doi "https://doi.org/10.1016/0304-4076(95)01778-x" @default.
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