Chang, Seong YeonPerron, Pierre2018-01-232018-01-232016-07-01Seong Yeon Chang, Pierre Perron. 2016. "Inference on a Structural Break in Trend with Fractionally Integrated Errors." JOURNAL OF TIME SERIES ANALYSIS, Volume 37, Issue 4, pp. 555 - 574 (20).0143-97821467-9892https://hdl.handle.net/2144/26265Perron 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.555 - 574 (20)Science & technologyPhysical sciencesMathematics, interdisciplinary applicationsStatistics & probabilityMathematicsFractionally integrated processLinear trendSegmented trendSpurious breakStructural changeFixed-B analysisUnit-root testsTime-seriesChange-pointUnknown timeLong-memoryEconometricsInference on a structural break in trend with fractionally integrated errorsArticle10.1111/jtsa.12176