Profile least squares estimation of a partially linear time trend model with weakly dependent data
2014
Li, Zheng | Su, Li | Zhang, Daiqiang
We consider a partially linear time trend model with weakly dependent data. We show that the semiparametric estimator for the time trend coefficient has the same rate of convergence as in the parametric time trend model case. We also show that the asymptotic variance reaches the semiparametric efficient bound. The Monte Carlo simulations strongly support our theoretical analysis.
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