Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study

Matteo Mogliani

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Abstract: The aim of this paper is to study the performance of residual-based tests for cointegration in the presence of multiple deterministic structural breaks via Monte Carlo simulations. We consider the KPSS-type LM tests proposed in Carrion-i-Silvestre and Sansò (2006) and in Bartley, Lee and Strazicich (2001), as well as the Schmidt and Phillips-type LM tests proposed in Westerlund and Edgerton (2007). This exercise allow us to cover a wide set of single-equation cointegration estimators. Monte Carlo experiments reveal a trade-off between size and power distortions across tests and models. KPSS-type tests display large size distortions under multiple breaks scenarios, while Schmidt and Phillips-type tests appear well-sized across all simulations. However, when regressors are endogenous, the former group of tests displays quite high power against the alternative hypothesis, while the latter shows severe low power.

Keywords: cointegration; single-equation; structural breaks; Monte Carlo simulations (search for similar items in EconPapers)
Date: 2010-08
New Economics Papers: this item is included in nep-cis, nep-ets and nep-mic
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00564897v1
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Working Paper: Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study (2010)
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