z-logo
Premium
Inference on a Structural Break in Trend with Fractionally Integrated Errors
Author(s) -
Chang Seong Yeon,
Perron Pierre
Publication year - 2016
Publication title -
journal of time series analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.576
H-Index - 54
eISSN - 1467-9892
pISSN - 0143-9782
DOI - 10.1111/jtsa.12176
Subject(s) - spurious relationship , mathematics , consistency (knowledge bases) , long memory , limiting , convergence (economics) , rate of convergence , inference , structural break , econometrics , series (stratigraphy) , statistics , computer science , economics , discrete mathematics , geology , mechanical engineering , computer network , channel (broadcasting) , paleontology , volatility (finance) , artificial intelligence , engineering , economic growth
Perron and Zhu (2005) established the consistency, convergence rate and limiting distributions of parameter estimates in time trends with a change in slope with or without a concurrent level change for the cases with I(1) or I(0) errors. We extend their analysis to the general case of fractionally integrated errors with memory parameter d ∗ . Our results uncover interesting features; e.g., with a level shift allowed, the convergence rate for the break date estimate is the same for all d ∗ ∈(−0.5,0.5). In other cases, it is decreasing as d ∗ increases. We also provide results about the so‐called spurious break issue.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom