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- W2522495897 abstract "In this paper, we analyze the nonparametric part of a partially linear model when the covariates in parametric and non-parametric parts are subject to measurement errors. Based on a two-stage semi-parametric estimate, we construct a uniform confidence surface of the multivariate function for simultaneous inference. The developed methodology is applied to perform inference for the U.S. gasoline demand where the income and price variables are measured with errors. The empirical results strongly suggest that the linearity of the U.S. gasoline demand is rejected." @default.
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- W2522495897 date "2016-08-04" @default.
- W2522495897 modified "2023-09-23" @default.
- W2522495897 title "Simultaneous Inference for the Partially Linear Model with a Multivariate Unknown Function when the Covariates are Measured with Errors" @default.
- W2522495897 doi "https://doi.org/10.18452/4633" @default.
- W2522495897 hasPublicationYear "2016" @default.
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