On the root-N-consistent semiparametric estimation of partially linear models

In the context of a partially linear model, we show that a n-consistent estimator for the coefficients of the parametric part of the regression function can be obtained by using a non-negative second-order kernel function as long as the dimension of the variables in the non-parametric part is less than or equal to, five.

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