Asymptotic distribution of the bootstrap parameter estimator for AR(1) process

摘要

In this paper we investigated the asymptotic distribution of the bootstrap parameter estimator of a first order autore-gressive AR(1) model. We described the asymptotic distribution of such estimator by applying the delta method and employing two different approaches, and concluded that the two approaches lead to the same conclusion, viz. both results converge in distribution to a normal distribution. We also presented the Monte Carlo simulation of the residuals bootstrap and application with real data was carried out in order to yield apparent conclusions.