Article ID Journal Published Year Pages File Type
7349812 Economics Letters 2017 5 Pages PDF
Abstract
This paper considers testing for structural break of factor-augmented regression models with unknown change point. In this case, the classical structural break tests proposed by Andrews (1993) and Andrews and Ploberger (1994) are infeasible due to the presence of unobservable factors. This paper develops the feasible two-step tests based on their structural break tests. We prove that the asymptotic null distributions of the proposed two-step tests remain to be the same as those of their infeasible tests. The Monte Carlo simulations confirm the theoretical results and show that the two-step tests perform well in finite sample.
Related Topics
Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
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