Break-Point Date Estimation for Nonstationary Autoregressive and Predictive Regression Models
arXiv:2308.13915
Abstract
In this article, we study the statistical and asymptotic properties of break-point estimators in nonstationary autoregressive and predictive regression models for testing the presence of a single structural break at an unknown location in the full sample. Moreover, we investigate aspects such as how the persistence properties of covariates and the location of the break-point affects the limiting distribution of the proposed break-point estimators.
arXiv admin note: text overlap with arXiv:2204.01373 by other authors