Robust methods for detecting multiple level breaks in autocorrelated time series
From MaRDI portal
Publication:736530
DOI10.1016/J.JECONOM.2010.02.003zbMath1431.62383OpenAlexW2006923385MaRDI QIDQ736530
A. M. Robert Taylor, Stephen J. Leybourne, David I. Harvey
Publication date: 4 August 2016
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://www.nottingham.ac.uk/research/groups/grangercentre/documents/10-01.pdf
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Non-Markovian processes: hypothesis testing (62M07)
Related Items (5)
Unit Roots, Level Shifts, and Trend Breaks in Per Capita Output: A Robust Evaluation ⋮ Bounds, Breaks and Unit Root Tests ⋮ Structural breaks in time series ⋮ Recursive adjustment, unit root tests and structural breaks ⋮ Confidence sets for the date of a break in level and trend when the order of integration is unknown
Cites Work
- Structural breaks with deterministic and stochastic trends
- Consistent autoregressive spectral estimates
- Estimating deterministic trends with an integrated or stationary noise component
- MONITORING STRUCTURAL CHANGES WITH THE GENERALIZED FLUCTUATION TEST
- TESTING FOR A SHIFT IN TREND AT AN UNKNOWN DATE: A FIXED-B ANALYSIS OF HETEROSKEDASTICITY AUTOCORRELATION ROBUST OLS-BASED TESTS
- A sequential procedure to determine the number of breaks in trend with an integrated or stationary noise component
- Tests for Parameter Instability and Structural Change With Unknown Change Point
- UNIT ROOT TESTING IN PRACTICE: DEALING WITH UNCERTAINTY OVER THE TREND AND INITIAL CONDITION
- SIMPLE, ROBUST, AND POWERFUL TESTS OF THE BREAKING TREND HYPOTHESIS
- A NEW ASYMPTOTIC THEORY FOR HETEROSKEDASTICITY-AUTOCORRELATION ROBUST TESTS
- Additive Outlier Detection Via Extreme-Value Theory
- SEARCHING FOR ADDITIVE OUTLIERS IN NONSTATIONARY TIME SERIES*
- Trend Function Hypothesis Testing in the Presence of Serial Correlation
- The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis
- The generalized fluctuation test: A unifying view
This page was built for publication: Robust methods for detecting multiple level breaks in autocorrelated time series