Unit root tests in three‐regime SETAR models

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Publication:5488515

DOI10.1111/j.1368-423X.2006.00184.xzbMath1096.62083OpenAlexW3124722702MaRDI QIDQ5488515

Yongcheol Shin, George Kapetanios

Publication date: 22 September 2006

Published in: The Econometrics Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1368-423x.2006.00184.x




Related Items (23)

Adaptive consistent unit-root tests based on autoregressive threshold modelTesting for a unit root in a stationary ESTAR processTests for a Unit Root Using Three-Regime TAR Models: Power Comparison and Some ApplicationsUnit root testing in presence of a double threshold processTesting Parameter Constancy in Unit Root Autoregressive Models Against Multiple Continuous Structural ChangesGLS detrending in nonlinear unit root testGenerating prediction bands for path forecasts from SETAR modelsLocal unit roots and global stationarity of TARMA modelsTesting for the cointegration rank in threshold cointegrated systems with multiple cointegrating relationshipsUNIT ROOT TEST IN A THRESHOLD AUTOREGRESSION: ASYMPTOTIC THEORY AND RESIDUAL-BASED BLOCK BOOTSTRAPRevisiting the Canadian Lynx Time Series Analysis Through TARMA ModelsTesting the Null Hypothesis of Nonstationary Long Memory Against the Alternative Hypothesis of a Nonlinear Ergodic ModelThe performance of variance ratio unit root tests under nonlinear stationary TAR and STAR processes: evidence from Monte Carlo simulations and applicationsVector equilibrium correction models with non‐linear discontinuous adjustmentsTesting the unit root hypothesis against TAR nonlinearity using STAR-based testsHow useful are tests for unit‐root in distinguishing unit‐root processes from stationary but non‐linear processes?TESTING FOR A UNIT ROOT AGAINST TRANSITIONAL AUTOREGRESSIVE MODELSPerformance of unit-root tests for non linear unit-root and partial unit-root processesA local unit root test in mean for financial time seriesThe power of unit root tests against nonlinear local alternativesTesting for a unit root in a nonlinear quantile autoregression frameworkA Monte Carlo Investigation of Unit Root Tests and Long Memory in Detecting Mean Reversion in I(0) Regime Switching, Structural Break, and Nonlinear DataTesting for a unit root in the nonlinear STAR framework




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